Business and customer service

Module

Topic

Key Highlights

Introduction to

Digital Analytics

Basics of Web Analytics

Importance in Marketing & UX, Key Metrics (Sessions,

Bounce Rate, etc.), GA4 vs Universal Analytics

GA4 Fundamentals

GA4 Structure & Reports

Account-Property-Data Stream, Event-Based Model,

Default Reports (Acquisition, Engagement, etc.)

Setting Up GA4

GA4 Setup & Tools

Creating GA4 Property, Installing with GTM/Gtag.js,

Debugging via DebugView

Events &

Conversions

Event Tracking

Built-in & Custom Events, Marking Conversions,

Enhanced Measurement, Form/Button Tracking

Audience & User

Tracking

Understanding Users

User Properties, Segments, Cross-device/platform tracking

Reporting & Insights

In-depth Analysis

Explorations (Funnel, Path), Lifecycle vs User Reports,

Attribution Models, Exporting Reports

Integration with

Google Tools

Marketing Tool

Connections

GTM (Tags, Triggers), GSC (SEO Reports), Google Ads

(Conversions, Audiences), Looker Studio (Dashboards)

Advanced Analytics

Deeper GA4 Features

Custom Dimensions/Metrics, User ID, BigQuery

Integration, Predictive Metrics

Privacy &

Compliance

Legal & Ethical Use

GDPR/Data Retention, IP Anonymization, Consent Mode,

Data Deletion

Capstone Project

Hands-On &

Certification

Full GA4 Setup, Stakeholder Reports, Certification Prep via Google Skillshop

Module

Assessment Type

Activity

1. Introduction

Quiz

Basic questions on analytics

2. GA4 Basics

Quiz + Task

Explore GA4 reports

3. GA4 Setup

Practical

Set up GA4 and test it

4. Events & Conversions

Task

Track events (e.g., button click)

5. User Tracking

Activity

Create segments, track users

6. Reporting

Task

Build and export a report

7. Tool Integration

Practical

Connect GA4 with other Google tools

8. Advanced Analytics

Mini Project

Use advanced GA4 features

9. Privacy

Quiz

Answer on GDPR and data settings

10. Capstone Project

Final Project

Full GA4 setup + marketing report

Module

Topic

Module 1

Introduction to Digital Analytics

Module 2

GA4 Fundamentals

Module 3

Setting Up GA4

Module 4

Events & Conversions in GA4

Module 5

Audience and User Tracking

Module 6

Reporting and Insights

Module 7

Integration with Google Tools

Module 8

Advanced Analytics

Module 9

Privacy and Compliance

Module 10

Capstone Project & Certification Prep

Module

Title

Key Highlights

1

Introduction to Sales & Marketing

Sales vs Marketing, Sales Funnel, Marketing Channels

2

Sales Techniques & CRM

B2B/B2C Strategies, CRM Tools (Salesforce, Zoho, HubSpot)

3

Digital Marketing Essentials

SEO, Email, Google Ads, Social Media, Google Analytics

4

Inventory Management Basics

Inventory Types, Costs, SKUs, FIFO/LIFO, Inventory Tools

5

Sales & Inventory Integration

Linking Sales & Inventory, Reordering, Stock Audits

6

Marketing Strategy & Campaigns

Marketing Plans, Targeting, Branding, ROI, Case Studies

7

Reporting & Metrics

KPIs for Sales, Marketing, Inventory, Dashboards

8

Capstone Project / Simulation

Business Simulation, Campaign Plan, Sales Report Presentation

Module

Assessment

Type

Activity

Module 1

Quiz

Basics of sales, marketing, and funnels

Module 2

Task + Quiz

Compare B2B/B2C, CRM tool demo (e.g., HubSpot)

Module 3

Hands-on Task

Create a sample ad or email campaign

Module 4

Practical Task

Classify inventory, calculate costs (FIFO, LIFO)

Module 5

Case Scenario

Link sales orders to inventory, suggest reorder plan

Module 6

Campaign Plan

Draft a basic marketing campaign with target audience

Module 7

Report Task

Prepare a sample KPI dashboard

Module 8

Final Project

Simulate business: sales strategy, marketing plan, inventory forecast & presentation

Module

Hours

Focus

Module 1

4 hrs

Basics of sales, marketing, and customer journey

Module 2

6 hrs

Sales strategies & CRM tools

Module 3

6 hrs

Digital marketing channels & tools

Module 4

6 hrs

Inventory types, costs, and systems

Module 5

4 hrs

Sales-inventory integration & stock management

Module 6

6 hrs

Marketing strategy, targeting & campaigns

Module 7

4 hrs

Key performance metrics & dashboards

Module 8

4 hrs

Capstone project & final presentations

Module

Title

Key Highlights

1

Introduction to Customer Service

Importance, Types of Support

2

Communication Skills

Listening, Empathy, Chat & Email Etiquette

3

Handling Customers

Difficult Customers, Personalization, Culture

4

Support Channels & Tools

Phone, Email, Chat, CRM Tools (Zendesk, etc.)

5

Problem Solving & Conflict

Root Cause, Escalation, Apologies

6

Technical Support Basics

Troubleshooting, Remote Support, Docs

7

Customer Feedback & Quality

Surveys, CSAT, QA Monitoring

8

Service Ethics & Professionalism

Ethics, Privacy, Code of Conduct

9

Teamwork & Stress Management

Burnout, Time Management, Queues

10

Capstone / Simulation

Live Support Scenarios, Role Play

Module

Assessment Type

Activity

Module 1

Quiz

Basics of customer service types and importance

Module 2

Role Play

Email/chat etiquette and empathy practice

Module 3

Case Study

Handling difficult customer scenario

Module 4

Tool Demo

Use of helpdesk or CRM (Zendesk/Freshdesk)

Module 5

Written Task

Conflict resolution steps and escalation

Module 6

Simulation

Troubleshooting mock technical issue

Module 7

Survey Design

Create a sample feedback form (CSAT/NPS)

Module 8

Quiz

Ethics, privacy, and professionalism

Module 9

Reflection Task

Stress management and teamwork strategies

Module 10

Final Capstone

Live role play + peer/instructor evaluation

Module

Hours

Focus

Module 1

3 hrs

Basics of customer service

Module 2

5 hrs

Communication and listening skills

Module 3

5 hrs

Dealing with customers effectively

Module 4

5 hrs

Support channels and tools

Module 5

5 hrs

Problem solving and resolution

Module 6

4 hrs

Technical support foundations

Module 7

4 hrs

Feedback and service quality

Module 8

2 hrs

Service ethics and privacy

Module 9

3 hrs

Stress and teamwork management

Module 10

4 hrs

Final capstone simulation

Module

Title

Key Highlights

1

Introduction to Customer Data

Types of Data, CDM vs CRM vs CDP

2

Data Collection Strategies

Data Sources, Privacy, Data Types

3

Data Storage and Systems

CRMs, CDPs, Data Lakes/Warehouses

4

Data Quality and Hygiene

Cleaning, Accuracy, Tools

5

Customer Segmentation & Profiling

RFM, Personas, Targeting

6

Data Governance & Compliance

Privacy Laws, Consent, Ethics

7

Integrating & Syncing Systems

APIs, ETL, Middleware

8

Analytics and Reporting

KPIs, Dashboards, Predictive Models

9

Data Security & Risk Mitigation

Encryption, Breach Management

10

Capstone Project / Lab

Build CDM Mockup, Dashboard, Report

Module

Assessment Type

Activity

Module 1

Quiz

Types of customer data & CDM vs CRM vs CDP

Module 2

Scenario Task

Design a privacy-compliant data collection plan

Module 3

Tool Demo

Compare features of CRM or CDP platforms

Module 4

Practical

Clean and validate a sample customer dataset

Module 5

Case Study

Segment a dataset and build buyer personas

Module 6

Quiz

Compliance laws (GDPR, CCPA, etc.)

Module 7

Project Task

Map and integrate tools using sample API flows

Module 8

Dashboard Task

Create a KPI dashboard using Looker Studio

Module 9

Written Task

Plan data breach response and security measures

Module 10

Final Capstone

Build full CDM mockup, segment data, present report

Module

Hours

Focus

Module 1

3 hrs

Intro to customer data

Module 2

4 hrs

Data collection methods

Module 3

4 hrs

Data storage & systems

Module 4

4 hrs

Data quality and cleaning

Module 5

5 hrs

Segmentation and profiling

Module 6

4 hrs

Governance & compliance

Module 7

4 hrs

System integration & syncing

Module 8

4 hrs

Analytics and reporting

Module 9

3 hrs

Data security practices

Module 10

3–5 hrs

Capstone project

Module

Title

Key Highlights

1

Introduction to Master Data Management (MDM)

What is Master Data, Types, MDM Lifecycle

2

Product Information Management (PIM)

PIM vs MDM, Product Attributes, Digital Commerce

3

Data Governance & Quality

Governance Frameworks, Ownership, Data Quality Tools

4

MDM Architecture & Integration

MDM Models, Data Modeling, ERP/CRM Integration

5

MDM Tools & Technologies

MDM/PIM Tools, Feature Comparison, Case Studies

6

MDM Strategy & Roadmap

Business Case, Stakeholders, Implementation Plan

7

Compliance & Security

GDPR/CCPA, Data Privacy, Audit Readiness

8

Capstone Project / Final Assessment

Full Strategy Proposal: Governance + Architecture

Module

Assessment Type

Activity

Module 1

Quiz

Identify types and lifecycle of master data

Module 2

Practical Task

Create a product data hierarchy

Module 3

Written Task

Design a data governance policy

Module 4

Diagram Exercise

Draw MDM architecture and integration flow

Module 5

Tool Review

Compare features of MDM/PIM platforms

Module 6

Case Study

Build a basic MDM strategy roadmap

Module 7

Quiz

Identify compliance risks and data protection steps

Module 8

Capstone Project

Propose end-to-end MDM strategy with tools & governance

Module

Focus

Duration

Module 1

Introduction to MDM

1 Week

Module 2

PIM (Product Information Management) Concepts

1 Week

Module 3

Governance & Data Quality

1 Week

Module 4

Architecture & System Integration

1.5 Weeks

Module 5

Tools & Technologies

1 Week

Module 6

Strategy & Roadmap

1 Week

Module 7

Compliance & Security

1 Week

Module 8

Capstone Presentation

0.5 Week

Module

Title

Key Highlights

1

Introduction to Project Management

Definition, Lifecycle, Phases, Stakeholders

2

Project Initiation

Business Case, Charter, Stakeholders, Objectives

3

Project Planning

Scope, Schedule, Budget, Risk, Communication Plans

4

Project Execution

Teamwork, Quality, Resource & Vendor Management

5

Monitoring & Controlling

Performance Tracking, EVM, Change Control

6

Project Closure

Final Deliverables, Reviews, Documentation

7

Tools & Techniques

MS Project, Jira, Agile, Scrum, Dashboards

8

Ethics & Trends

PMI Ethics, Global PM, AI & Hybrid Trends

Module

Assessment Type

Activity

Module 1

Quiz

Identify PM lifecycle & key roles

Module 2

Task

Draft a sample project charter

Module 3

Practical

Create WBS, schedule, and risk plan

Module 4

Scenario

Team leadership and quality management case

Module 5

Task

Calculate EVM & manage change

Module 6

Report

Closure checklist & lessons learned

Module 7

Tool Demo

Use Jira or Trello to manage a project

Module 8

Quiz

Ethics & current trends in PM

Week

Module

Focus Area

Week 1

Module 1

PM Basics & Roles

Week 2

Module 2

Project Initiation

Week 3

Module 3

Planning Techniques

Week 4

Module 4

Execution Strategies

Week 5

Module 5

Monitoring Tools

Week 6

Module 6

Closing Projects

Week 7

Module 7

Tools & Methods

Week 8

Module 8

Ethics & Trends

Module

Title

Key Highlights

1

Introduction to Data Management & Cloud

Computing

Data principles, Cloud models (IaaS, PaaS, SaaS), Cloud data integration

2

Informatica Overview

Informatica tools: Power Center, IICS, MDM, Data

Quality

3

Cloud Data Integration (IICS)

IICS setup, pipeline design, source/target config

4

Data Transformation & ETL

ETL process, Mapping logic, Performance tuning

5

Data Quality & Governance

Profiling, Cleansing, Validation, Metadata management

6

Cloud Data Warehousing

Integration with Snowflake, BigQuery, Redshift, ELT vs

ETL

7

Security, Compliance & Monitoring

Encryption, Access control, GDPR, Monitoring tools

8

Project & Use Cases

Build a data pipeline, Apply quality tools, Present case study

Assessment Type

Details

Quizzes

After each module to test understanding

Practical Assignments

ETL design, data quality tasks, IICS pipeline setup

Capstone Project

Build & present a complete cloud data pipeline

Participation & Labs

Hands-on activities, discussion involvement

Final Evaluation

Based on project presentation and accuracy

Module

Duration

Module 1

4 hours

Intro to Data & Cloud

Module 2

4 hours

Informatica Overview

Module 3

6 hours

IICS Data Integration

Module 4

6 hours

ETL & Transformation

Module 5

5 hours

Data Quality & Governance

Module 6

5 hours

Cloud Warehousing

Module 7

4 hours

Security & Compliance

Module 8

6 hours

Final Project

Module

Topics

Key Highlights

Frontend Development

HTML5, CSS3, JavaScript

Responsive design, Flexbox, DOM, ES6

React.js or Angular

Components, props/state, forms, hooks/services

UI Tools (Optional)

Bootstrap, Tailwind CSS, Figma basics

Backend Development with Java

Core Java

OOP, Collections, Exceptions, Streams, Lambda

Spring & Spring Boot

REST APIs, JPA, Annotations, Validations

Security

Spring Security, Basic auth & authorization

Database Management

Relational(MySQL/PostgreSQL)

SQL CRUD, Joins, Constraints

NoSQL (MongoDB)

CRUD operations, Schema design

 Tools & DevOps Basics

Version Control

Git and GitHub

Build & Testing Tools

Maven/Gradle, JUnit, Postman

DevOps

Docker basics, CI/CD (Jenkins/GitHub Actions)

Deployment & Cloud

Hosting Platforms

Heroku, AWS EC2, Render

Config Management

Environment variables, Backend-Frontend integration

6. Capstone Project

Full Stack Project

React/Angular frontend + Spring Boot backend

+ DB + Deployment

Module

Assessment

What to Do

1. Frontend

Small Project + Quiz

Build a responsive web page with HTML, CSS, JS. Take a short quiz on basics.

2. Backend

Coding Task + Quiz

Write Java programs and create a simple REST API. Quiz on Java and Spring.

3. Database

Practical + Quiz

Write SQL queries and do basic MongoDB tasks. Quiz on databases.

4. Tools &

DevOps

Hands-on Task + Quiz

Use GitHub, build tools, test APIs, and create a Dockerfile. Quiz on tools.

5. Deployment

Deployment Task

Deploy your app on Heroku or AWS.

6. Final Project

Full Project +

Presentation

Build a full app with frontend, backend, database, and deploy it.

Present your work.

Module

Topics Covered

Duration

Module 1

Frontend Development: HTML, CSS, JS, Responsive Design, React/Angular, Bootstrap

3 Weeks

Module 2

Backend with Java: Core Java, Spring Boot, REST APIs, Spring Security

3 Weeks

Module 3

Database Management: MySQL/PostgreSQL, MongoDB Basics

2 Weeks

Module 4

Tools & DevOps: Git, GitHub, Maven, JUnit, Postman, Docker, CI/CD Basics

2 Weeks

Module 5

Deployment & Cloud: Deploy to Heroku/AWS, Connect Frontend & Backend

1.5 Weeks

Module 6

Capstone Project: Build & Deploy Full-Stack App

2 Weeks

Module

Topics

Key Highlights

Frontend Development

·        HTML5, CSS3, JavaScript

·        (ES6+)

·        React.js or Vue.js

·        Framework

·        UI Frameworks

Responsive layouts (Flexbox, Grid), DOM & events

Components, props/state, routing, forms, API calls

Bootstrap, Tailwind CSS, Material UI (optional)

Backend Development with Go

·        Go Basics

·        Web APIs with Go

·        Microservices (Optional)

Syntax, types, pointers, structs, interfaces, concurrency

REST APIs (net/http, mux, Gin), middleware, JSON, sessions

gRPC, Protocol Buffers, service design

Database Management

·        Relational DB

·        NoSQL DB

SQL with PostgreSQL or MySQL, Go integration (gorm)

MongoDB basics and Go integration

DevOps and Tools

·        Version Control

·        Testing & Debugging

·        Build & Dependency

·        Docker & Containers

·        CI/CD

Git & GitHub workflows

Go unit tests, Postman API testing

Go modules, build and compile projects

Dockerfiles, Docker Compose multi-container setup

GitHub Actions for automation

Deployment

·        Hosting Platforms

·        Config & Security

Deploy on Render, Railway, Heroku, AWS EC2

Environment variables, CORS, reverse proxy

6. Capstone Project

·        Full Stack Project

Go backend + React/Vue frontend, auth, CRUD,

API, DB, deploy with Docker

Module

Assignment

What to Do

Frontend

Build a webpage

React or Vue mini app

Make a responsive page with HTML, CSS, and JS

Create a small app with components and API calls

Backend

Go basics coding

Build a REST API

Practice Go functions, structs, and concurrency

Create a simple API with Go (CRUD operations)

Database

SQL & MongoDB

Write SQL queries and do MongoDB operations using Go

DevOps

GitHub & Testing

Docker setup

Push code to GitHub and test APIs with Postman

Write Dockerfiles and use Docker Compose

 Deployment

Deploy app

Deploy your app on Heroku, Render, or Railway

Final Project

Full-stack app

Build and deploy a full web app with frontend, backend, and database

Module

Topics Covered

Duration

Frontend

HTML, CSS, JavaScript, React or Vue

2.5 – 3 Weeks

Backend (Go)

Go basics, REST API, Authentication

2.5 – 3 Weeks

Database

MySQL/PostgreSQL, MongoDB

1.5 – 2 Weeks

DevOps Tools

Git, Postman, Docker, GitHub Actions

1.5 Weeks

Deployment

Hosting on Render, Heroku, or AWS

1 Week

Capstone Project

Build and deploy a full web app

2 Weeks

Module

Topic

Key Highlights

1. Introduction to UX/UI Design

·        Definitions: UX vs. UI

·        Importance of user-centered design

·        Design thinking process

·        UX principles and heuristics

Understand core concepts and differences between UX and UI; apply user-centered approaches and design thinking.

2. User Research and Analysis

·        Conducting user interviews and surveys

·        Creating user personas

·        Customer journey mapping

·        Competitive analysis

Learn methods for gathering user insights and analyzing user behavior.

3. UX Design Fundamentals

·        Information architecture

·        User flows and task analysis

·        Wireframing (low-fidelity)

·        Prototyping tools overview

Create structural design of user experiences and understand lowfidelity design process.

4. UI Design Principles

·        Visual design fundamentals (color, typography, spacing)

·        Layouts and design grids

·        Design systems and component libraries

·        Accessibility and inclusive design

Apply design principles and create visually appealing and accessible UI components.

5. Design Tools and Prototyping

·        Tools: Figma, Adobe XD, Sketch

·        Creating high-fidelity mockups

·        Interactive prototypes

·        Handoff for development (design specs and assets)

Use industry-standard tools to build detailed designs and communicate them effectively to developers.

6. Frontend Development for Designers

·        HTML5, CSS3, JavaScript basics Responsive design and media queries CSS frameworks (Bootstrap or Tailwind CSS)

·        Integrating design into web projects

Bridge the gap between design and development through practical coding skills.

7. UI Development with Frameworks

·        Introduction to React.js or Vue.js

·        Components, props, and state

·        Connecting UI to APIs

·        Form handling and validation

Build dynamic interfaces using modern JavaScript frameworks and connect to backend services.

8. UX Testing and Iteration

·        Usability testing methods (moderated, unmoderated)

·        Heuristic evaluation

·        A/B testing basics

·        Using analytics for UX improvements

Evaluate and refine UX through feedback and data-driven decision making.

9. Design Systems and Collaboration

·        Building reusable UI components

·        Using and managing a design system Working with developers (Zeplin, Figma inspect, Storybook)

·        Version control and design handoff

Collaborate efficiently with teams and maintain consistency using design systems and tools.

10. Capstone Project

·        Design and develop a complete web or mobile app UI/UX

·        Conduct research, create wireframes and prototypes

·        Develop frontend and test usability

·        Present final product with rationale documentation

Apply all learned skills in a comprehensive real-world project, showcasing end-to-end UX/UI design

And development

Module

Assessment Type

Description / Purpose

1. Introduction to UX/UI

Design

Quiz / Short Test

Test knowledge of UX vs. UI, design thinking, and UX principles.

2. User Research and Analysis

Practical Assignment

Conduct interviews, create user personas, and map customer journeys.

3. UX Design Fundamentals

Wireframe Submission

Submit low-fidelity wireframes and user flow diagrams.

4. UI Design Principles

Design Exercise

Create a visual mockup applying color, typography, layout, and accessibility.

5. Design Tools and

Prototyping

Tool-based Project

Build a high-fidelity prototype using Figma/Adobe XD/Sketch.

6. Frontend Development for

Designers

Coding Exercises

Simple HTML/CSS/JS tasks demonstrating responsive design.

7. UI Development with

Frameworks

Mini Project

Build a small React/Vue app component, connect it to a mock API.

8. UX Testing and Iteration

Usability Testing Report

Conduct usability tests and submit a report with findings and suggestions.

9. Design Systems and

Collaboration

Collaborative Project / Peer

Review

Create reusable UI components and document a design system.

10. Capstone Project

Final Project Presentation and

Report

Design, develop, test, and present a full app with documentation.

SI No.

Module

Topics Covered

Duration

1

Introduction to UX/UI Design

UX vs. UI, user-centered design, design thinking, UX principles

1 Week

2

User Research and Analysis

Interviews, surveys, personas, journey mapping, competitor analysis

1.5 Weeks

3

UX Design Fundamentals

Information architecture, user flows, wireframing, prototyping overview

1.5 Weeks

4

UI Design Principles

Color, typography, layout, design systems, accessibility

1.5 Weeks

5

Design Tools and Prototyping

Figma, Adobe XD, Sketch, high-fidelity mockups, prototypes, handoff

1.5 – 2 Weeks

6

Frontend Development for Designers

HTML5, CSS3, JavaScript basics, responsive design, CSS frameworks

2 Weeks

7

UI Development with Frameworks

React.js or Vue.js basics, components, props, state, API integration

2.5 – 3 Weeks

8

UX Testing and Iteration

Usability testing, heuristic evaluation, A/B testing, analytics

1 Week

9

Design Systems and Collaboration

Reusable components, design systems, developer collaboration

1 Week

10

Capstone Project

End-to-end app design, development, testing, presentation

2 Weeks

SI no.

Module

Key Highlights

1

Introduction to MEAN Stack

·        Full stack development overview, MEAN components, advantages, environment setup

2

MongoDB (Database Layer)

·        NoSQL basics, CRUD operations, schema design, Mongoose ODM, relationships and population

3

Express.js (Backend Framework)

·        Express server setup, routing, middleware, RESTful APIs, request handling,

·        MongoDB integration

4

Node.js (Runtime Environment)

·        Node.js architecture, async programming, filesystem, building REST APIs, npm packages

5

Angular (Frontend Framework)

·        Angular basics, TypeScript, components, modules, services, data binding, routing,

·        HTTP client, forms

6

Integration of Frontend &

Backend

·        Connecting Angular with Express, HTTP methods, CORS, proxy config, authentication flow

7

User Authentication &

Authorization

·        JWT authentication, securing routes, role-based access, token storage

8

Deployment and DevOps Basics

·        Preparing for production, hosting backend and database, hosting frontend, environment variables

9

Tools and Best Practices

·        Postman, Git/GitHub, debugging tools, code structuring, modular development

10

Capstone Project

·        Full stack MEAN app: frontend, backend, database, authentication, deployment

Module

Assessment Type

Description / Purpose

Introduction to MEAN Stack

Quiz

Test understanding of MEAN components, full stack concepts, setup

MongoDB (Database Layer)

Practical Assignment

Perform CRUD operations and design schemas using MongoDB and Mongoose

Express.js (Backend Framework)

Coding Exercise

Build RESTful APIs with routing, middleware, and error handling

Node.js (Runtime Environment)

Coding Exercise

Implement asynchronous code and file handling in Node.js

Angular (Frontend Framework)

Project Task

Create Angular components, routing, data binding, and forms

Integration of Frontend & Backend

Mini Project

Connect Angular frontend with Express backend using APIs

User Authentication Authorization

Practical Task

Implement JWT auth, secure routes, and role-based access

Deployment and DevOps Basics

Deployment Exercise

Deploy MEAN app on cloud platforms and configure environment

Tools and Best Practices

Documentation / Quiz

Use Postman, Git workflows, debugging, and best coding practices

Capstone Project

Final Project

Presentation

Complete MEAN stack application development and deployment

SI No.

Module

Focus / Activities

Duration

1

Introduction to MEAN Stack

Overview, environment setup, install tools

1 Week

2

MongoDB (Database Layer)

Learn NoSQL, CRUD, schema design, Mongoose basics

1.5 Weeks

3

Express.js (Backend Framework)

Setup Express server, routing, middleware, REST APIs

1.5 Weeks

4

Node.js (Runtime Environment)

Node.js architecture, async programming, file system usage

1.5 Weeks

5

Angular (Frontend Framework)

Components, modules, data binding, routing

2 – 2.5 Weeks

6

Integration of Frontend & Backend

Connect frontend to backend, handle HTTP requests, CORS

1 Week

7

User Authentication & Authorization

JWT, securing routes, role-based access

1 Week

8

Deployment and DevOps Basics

Production build, deploy backend & frontend

1 Week

9

Tools and Best Practices

Postman, Git/GitHub, debugging, code structuring

0.5 – 1 Week

10

Capstone Project

Build and present full MEAN stack application

2 Weeks

SI NO.

Module

Key Highlights

1

Introduction to MERN Stack

·        Full stack overview, MERN components, advantages, environment setup

2

MongoDB (Database Layer)

·        NoSQL vs SQL, data model, CRUD operations, Mongoose ODM

3

Express.js (Backend Framework)

·        Express server setup, RESTful API design, routing, middleware, error handling

4

Node.js (Runtime Environment)

·        Node.js architecture, npm, async programming, file handling, backend logic

5

React.js (Frontend Framework)

·        React basics, JSX, functional components, hooks, props/state, routing, forms, API calls

6

Integration: Frontend & Backend

·        API calls from React, async data handling, CORS, proxy, project structure

7

Authentication & Authorization

·        User registration/login, bcrypt, JWT, token storage, route protection

8

Deployment and DevOps Basics

·        Environment variables, React build, frontend & backend deployment, CI/CD basics

9

Tools and Best Practices

·        Postman, Git/GitHub, debugging, linting, code formatting, folder structure

10

Capstone Project

·        Build, deploy full MERN app with auth, roles, frontend & backend integration

Module

Assessment Type

Description

Introduction to MERN Stack

Quiz

Test understanding of MERN basics and environment setup

MongoDB

Practical Assignment

CRUD operations and schema design using MongoDB and

Mongoose

Express.js

Coding Exercise

Create RESTful APIs with routing, middleware, and error handling

Node.js

Coding Exercise

Implement async code, file handling, and backend logic

React.js

Project Task

Build React components, routing, forms, and API integration

Integration: Frontend &

Backend

Mini Project

Connect React frontend with Express backend APIs

Authentication & Authorization

Practical Task

Implement JWT authentication, token storage, and protected routes

Deployment and DevOps Basics

Deployment Exercise

Deploy frontend and backend to cloud platforms

Tools and Best Practices

Quiz / Documentation

Git workflows, debugging, linting, and modular code practices

Capstone Project

Final Project Presentation

Full MERN stack app development and deployment

SI No.

Module

Focus / Activities

1

Introduction to MERN Stack

Overview, environment setup, install tools

2

MongoDB

NoSQL basics, CRUD, schema design, Mongoose

3

Express.js

Server setup, routing, REST APIs, middleware

4

Node.js

Architecture, async programming, backend logic

5

React.js

Components, hooks, routing, forms, API calls

6

Integration: Frontend & Backend

API calls, async handling, CORS, project structure

7

Authentication & Authorization

JWT auth, bcrypt, route protection

8

Deployment and DevOps Basics

Building app, environment variables, deploying

9

Tools and Best Practices

Postman, Git, debugging, linting, modular code

10

Capstone Project

Build and deploy full MERN stack application

SI No.

Module

Key Highlights

1

Introduction to Product Management

·        Role, responsibilities, lifecycle, stakeholders, and collaboration

2

Market and User Research

·        Market trends, customer discovery, research methods, personas, journey maps

3

Product Strategy and Vision

·        Vision, mission, business alignment, strategy, prioritization methods

4

Product Planning and Roadmapping

·        SDLC, Agile, Lean, MVP, PRDs, backlog grooming, sprint planning

5

Agile and Scrum for Product Managers

·        Agile principles, Scrum roles, user stories, sprint cycles

6

Product Design and Development

·        Collaboration with designers, wireframes, prototypes, design tools

7

Go-to-Market Strategy

·        Positioning, launch, sales enablement, customer onboarding

8

Metrics, Analytics, and Feedback

·        KPIs, analytics tools, A/B testing, customer feedback loops

9

Product Growth and Iteration

·        Growth hacking, PLG, feature adoption, scaling

10

Capstone Project

·        Develop strategy, conduct research, define roadmap & KPIs, pitch

Module

Assessment Type

Description

Introduction to Product Management

Quiz

Test understanding of PM roles, lifecycle, and collaboration

Market and User Research

Case Study /

Assignment

Conduct market research and create user personas

Product Strategy and Vision

Strategy Document

Write product vision and roadmap with prioritization

Product Planning and Roadmapping

Practical Task

Create MVP plan, PRD, and sprint backlog

Agile and Scrum for Product Managers

Role Play / Quiz

Demonstrate Scrum roles, user stories, and sprint planning

Product Design and Development

Collaboration Exercise

Work on wireframes/prototypes using design tools

Go-to-Market Strategy

Launch Plan

Develop product positioning and go-to-market plan

Metrics, Analytics, and Feedback

Analytics Report

Define KPIs, analyze data, and interpret feedback

Product Growth and Iteration

Growth Strategy

Proposal

Propose growth tactics and scaling plans

Capstone Project

Final Presentation

Pitch complete product strategy and roadmap

Week

Module

Focus / Activities

Duration

1

Introduction to Product Management

PM roles, lifecycle, stakeholders, collaboration

1 Week

2

Market and User Research

Market analysis, customer discovery, research methods

1 Week

3

Product Strategy and Vision

Vision, strategy creation, prioritization techniques

1 Week

4

Product Planning and Roadmapping

Agile/Lean SDLC, MVP, PRDs, backlog grooming

1 Week

5

Agile and Scrum for Product Managers

Scrum framework, roles, user stories, sprint planning

1 Week

6

Product Design and Development

Wireframing, prototyping, design thinking, design tools

1 Week

7

Go-to-Market Strategy

Positioning, launch planning, sales enablement

1 Week

8

Metrics, Analytics, and Feedback

Defining KPIs, analytics tools, A/B testing

1 Week

9

Product Growth and Iteration

Growth hacking, PLG strategies, feature adoption

1 Week

10

Capstone Project

Full strategy development and pitch presentation

1 Week

SI no.

Module

Key Highlights

1

Introduction to Data Engineering

·        Role of Data Engineer, difference from Data Science, pipelines overview

2

Programming for Data Engineering

·        Python, SQL, shell scripting, APIs, JSON/XML

3

Data Modeling and Databases

·        Relational & NoSQL DBs, data warehousing, schemas, normalization

4

ETL & ELT Pipelines

·        ETL vs ELT, building pipelines with Airflow/Luigi, ingestion, error handling

5

Big Data Technologies

·        Hadoop ecosystem, Apache Spark, distributed processing

6

Cloud Platforms

·        AWS/Azure/GCP services for data, pipeline deployment

7

Data Lakes and Warehousing

·        Data lakes/lakehouses, Snowflake, storage formats, batch vs streaming

8

Real-Time Data Processing

·        Kafka, producers/consumers, stream processing with Flink/Spark Streaming

9

Data Quality, Governance & Security

·        Data validation, schema enforcement, RBAC, encryption, compliance

10

Monitoring and Orchestration

·        Airflow workflows, monitoring, CI/CD, logging

11

Capstone Project

·        End-to-end data pipeline: ingest, store, transform, model data

Module

Assessment Type

Description

Introduction to Data Engineering

Quiz

Basic concepts of data engineering roles and pipeline workflows

Programming for Data Engineering

Coding Assignment

Python scripting and SQL queries

Data Modeling and Databases

Case Study / Exercise

Design schemas and data modeling tasks

ETL & ELT Pipelines

Practical Project

Build an ETL pipeline using Airflow or Luigi

Big Data Technologies

Quiz + Lab

Concepts of Hadoop and Spark with practical exercises

Cloud Platforms

Hands-on Assignment

Use AWS/Azure/GCP data services and deploy pipelines

Data Lakes and Warehousing

Report / Practical

Work on data lake storage formats and data warehousing concepts

Real-Time Data Processing

Lab / Demo

Kafka setup and stream processing task

Data Quality, Governance &

Security

Assignment

Data validation, security policies, and compliance checks

Monitoring and Orchestration

Practical Task

Setup Airflow workflows and monitoring

Capstone Project

Final Project

Presentation

End-to-end data pipeline build and demo

Week

Module

Focus / Activities

Duration

1

Introduction to Data Engineering

Concepts, roles, pipeline overview

1 Week

2

Programming for Data Engineering

Python scripting, SQL, APIs

1 Week

3

Data Modeling and Databases

Schema design, relational & NoSQL databases

1 Week

4

ETL & ELT Pipelines

Building ETL pipelines, error handling

1 Week

5

Big Data Technologies

Hadoop, Spark fundamentals

1 Week

6

Cloud Platforms

Using AWS/Azure/GCP for data workloads

1 Week

7

Data Lakes and Warehousing

Data lakes concepts, storage formats

1 Week

8

Real-Time Data Processing

Kafka setup, stream processing

1 Week

9

Data Quality, Governance & Security

Validation, security, compliance

1 Week

10

Monitoring and Orchestration

Airflow workflows, pipeline monitoring

1 Week

11

Capstone Project

End-to-end pipeline design and demo

1 Week

Module

Topics

Key Highlights

Frontend Development

·        HTML5, CSS3, Responsive design, JS (ES6+),

·        Optional React/Vue.js basics

Build responsive user interfaces and interactive frontends

Python Programming

·        Variables, data types, OOP, modules, file handling, working with JSON and APIs

Core Python programming skills

 BackendDevelopment

·        Flask or Django: routing, templates, forms, middleware, REST APIs

Develop server-side applications and APIs

Database Management

·        SQL basics, PostgreSQL/MySQL, ORM

·        (SQLAlchemy/Django ORM), optional MongoDB

Manage and interact with relational and NoSQL databases

REST API and Web

Services

·        Building APIs, serialization, consuming APIs,

·        JWT/OAuth authentication

Create and consume RESTful services

Version Control & DevOps

·        Git/GitHub, branching, Docker basics, CI/CD overview

Manage code and automate deployment workflows

Deployment

·        Hosting backend (Heroku, AWS), frontend (Netlify), environment variables, database hosting

Deploy applications securely on cloud platforms

Capstone Project

·        Full stack app with frontend, backend, database, authentication, CRUD, and deployment

Apply all learned skills in a practical project

Module

Assessment

What to Do

Frontend

Quiz + Small Project

Test HTML/CSS/JS basics, build a simple webpage

Python Basics

Coding Practice

Write small programs with loops and functions

Backend

Mini Project

Create a basic app to show and add data

Database

Quiz + Task

Write simple SQL queries and connect app to DB

APIs

Build & Use API

Make a small API and fetch data using JS

Git & Docker

Hands-on Tasks

Use Git for code and make a Docker container

Deployment

Deployment Task

Put your app online (Heroku/Netlify) and keep secrets safe

Final Project

Full App Project

Build and deploy a full app with login and data features

Module

Topics

Key Points

Duration

1

Frontend

HTML, CSS, JavaScript, React/Vue (optional)

1 Week

2

Python Basics

Variables, Functions, OOP, File Handling

1 Week

3

Backend

Flask or Django, Routing, Templates

1 Week

4

Database

SQL, PostgreSQL/MySQL, ORM, MongoDB (optional)

1 Week

5

APIs

REST APIs, Serialization, Fetch/Axios

1 Week

6

Version Control & DevOps

Git, Docker, CI/CD basics

1 Week

7

Deployment

Hosting on Heroku, Netlify, AWS, Security

1 Week

8

Capstone Project

Full stack app development and deployment

1 Week

Module

Topics Covered

Key Highlights

Introduction to Enterprise Applications

·        EA characteristics, Monolith vs Distributed,

·        ERP/CRM/SCM/HRMS, Legacy systems

Basics and challenges of enterprise apps

Software Architecture Fundamentals

·        Layered, SOA, Microservices, Event-driven, APIfirst design

Architecture styles and best practices

Legacy System Assessment

·        Modernization opportunities, Code analysis, Risk & impact Roadmaps

How to evaluate legacy

Modern Development Practices

·        Agile, DevOps, CI/CD, Docker, Kubernetes

Modern development & deployment methods

API and Integration Strategies

·        REST, GraphQL, Integration patterns, Kafka,

·        RabbitMQ, API gateways

Connecting and integrating enterprise systems

Cloud-Native Transformation

·        Cloud platforms, 12-factor apps, Serverless,

·        Migration strategies

Moving apps to the cloud

Data Modernization

·        Data lakes, ETL/ELT, Real-time pipelines, Modern DBs

Modern approaches to data management

Security and Compliance in Modern Apps

·        IAM, OAuth2, JWT, DevSecOps, GDPR, HIPAA,

·        ISO 27001

Securing and complying with regulations

Observability and Monitoring

·        Logging, Monitoring, Tracing, Prometheus,

·        Grafana, ELK, APM

Keeping apps healthy and performant

Product Modernization Case. Studies & Capstone

·        Real-world cases, Modernization plans,

·        Architecture demos

Practical application and project presentation

Module

Assessment Type

What to Do

Introduction to EnterpriseApplications

Quiz

Test understanding of EA basics and legacy challenges

Software Architecture Fundamentals

Quiz + Short Assignment

Identify architecture styles and design principles

Legacy System Assessment

Case Study Analysis

Analyze a legacy system and suggest modernization steps

Modern Development Practices

Practical Task

Set up CI/CD pipeline or containerize an app with Docker

API and Integration Strategies

Mini Project

Build a simple API and integrate with a message broker

Cloud-Native Transformation

Quiz + Assignment

Cloud concepts quiz and create a migration strategy

Data Modernization

Task

Design a modern data pipeline or ETL process

Security and Compliance

Quiz + Scenario Analysis

Test on security concepts and compliance case study

Observability and Monitoring

Hands-on Task

Implement logging and monitoring using tools like

Prometheus or ELK

Capstone Project

Final Project +

Presentation

Develop a modernization plan and present the solution

Module

Topics Covered

Duration

Introduction to Enterprise Applications

Enterprise app basics, monoliths vs distributed systems, ERP, CRM, legacy challenges

1 Week

 Software Architecture Fundamentals

Layered architecture, SOA, microservices, event-driven, API-first design

1 Week

Legacy System Assessment

Modernization opportunities, code analysis, risk & impact, roadmaps

1 Week

Modern Development Practices

Agile, DevOps, CI/CD, Docker, Kubernetes

1 Week

API and Integration Strategies

REST, GraphQL, integration patterns, Kafka, RabbitMQ, API gateways

1 Week

Cloud-Native Transformation

Cloud platforms, 12-factor apps, serverless, cloud migration

1 Week

Data Modernization

Data lakes, ETL/ELT, real-time pipelines, modern databases

1 Week

Security and Compliance in Modern Apps

IAM, OAuth2, JWT, DevSecOps, GDPR, HIPAA, ISO 27001

1 Week

Observability and Monitoring

Logging, monitoring, tracing, Prometheus, Grafana, ELK, APM

1 Week

10. Product Modernization Case Studies & Capstone

Real-world cases, modernization plans, architecture demos, presentations

1 Week

Module

Topics Covered

Key Highlights

Introduction to Data Science & AI

·        Data Science lifecycle, AI vs ML vs Deep Learning,Applications, Tools

Overview and basic concepts

Python for Data Science

·        Python basics, NumPy, Pandas, Data visualization, Working with datasets

Core Python & data manipulation

Statistics and Probability

·        Descriptive stats, Probability distributions,Hypothesis testing, Regression

Statistical foundations

Data Wrangling and. Preprocessing

·        Handling missing data, Normalization, Feature engineering, Data splitting

Preparing clean data for models

Machine Learning

·        Supervised & unsupervised learning, Algorithms, Model evaluation

Building and assessing ML models

Deep Learning and Neural Networks

·        Neural networks basics, TensorFlow/Keras, CNNs,

·        RNNs, Model tuning

Deep learning model building

Natural Language Processing (NLP)

·        Text preprocessing, Word embeddings, Sentiment analysis, Transformers

Processing and understanding text data

8. AI and Advanced Topics

·        Reinforcement learning, AI ethics, Explainable AI,Generative AI

Cutting-edge AI concepts and ethics

9. Tools and Platforms

·        Jupyter, Google Colab, Scikit-learn, TensorFlow, Git, Cloud platforms

Essential tools and environment setup

10. Capstone Project

·        Problem definition, EDA, Modeling, Deployment Presentation

End-to-end AI project experience

Module

Assessment Type

What to Do

1. Introduction to Data Science and AI

Quiz

Test understanding of basic concepts and tools

2. Python for Data Science

Coding exercises

Write Python code for data manipulation and visualization

3. Statistics and Probability

Quiz + Problem-solving

Solve statistics problems and apply probability concepts

4. Data Wrangling and Preprocessing

Practical Task

Clean and prepare a real dataset

5. Machine Learning

Mini Project

Build and evaluate ML models for classification/regression

6. Deep Learning and Neural. Networks

Assignment

Create and train a neural network using

TensorFlow/Keras

7. Natural Language Processing (NLP)

Coding Task

Perform text preprocessing and sentiment analysis

8. AI and Advanced Topics

Quiz + Case Study

Test advanced AI concepts and ethics scenarios

9. Tools and Platforms

Hands-on Exercise

Use Jupyter, Git, and cloud tools for a small workflow

10. Capstone Project

Final Project +

Presentation

End-to-end AI solution development and demo

SI No.

Module

Topics

Activities

Duration

1

Introduction to Data Science and AI

Basics, lifecycle, AI vs ML vs DL

Lecture, Quiz

1 Week

2

Python for Data Science

Python basics, NumPy, Pandas, Visualization

Coding exercises, Dataset practice

1 Week

3

Statistics and Probability

Descriptive stats, probability, hypothesis testing

Quiz, Problem solving

1 Week

4

Data Wrangling and Preprocessing

Handling missing data, normalization, feature engineering

Practical data cleaning task

1 Week

5

Machine Learning

Algorithms,supervised/unsupervised learning, evaluation

Mini project on ML models

1 Week

6

Deep Learning and Neural Networks

Neural nets, TensorFlow, CNNs, RNNs

Assignment:build/train neural network

1 Week

7

Natural Language Processing (NLP)

Text preprocessing, embeddings, sentiment analysis

Coding task on NLP

1 Week

8

AI and Advanced Topics

Reinforcement learning, AI ethics, XAI

Quiz, Case study

1 Week

9

Tools and Platforms

Jupyter, Git, Cloud platforms

Hands-on workflow exercise

1 Week

10

Capstone Project

Full AI project development and presentation

Project work and demo

1 Week

Module

Topics Covered

1. Introduction to DevOps

·        DevOps culture, principles, lifecycle, tools

2. Software Testing Fundamentals

·        Testing types, automated/manual testing, TDD, BDD, tools

3. Continuous Integration (CI)

·        CI concept, pipeline setup, code quality, automated tests

4. Continuous Delivery and

Deployment (CD)

·        Delivery vs deployment, strategies, IaC, config management

5. CI/CD Tools and Platforms

·        Jenkins, GitLab CI/CD, CircleCI, Docker integration

6. Containerization and Orchestration

·        Docker basics, Docker Compose, Kubernetes, Helm charts

7. Automated Testing in CI/CD

·        Unit, integration, performance, security testing automation

8. Monitoring and Logging

·        Monitoring importance, Prometheus, Grafana, ELK, alerts

9. Security in CI/CD Pipelines

·        DevSecOps, security scans, secrets management, compliance

10. Capstone Project

·        Build full CI/CD pipeline, automate build/test/deploy, containerization, monitoring, rollback

Module

Assessment Type

What to Do

Introduction to DevOps

Quiz

Test understanding of DevOps principles and lifecycle

Software Testing Fundamentals

Quiz + Practical task

Identify testing types and write test cases

Continuous Integration (CI)

Practical exercise

Setup a basic CI pipeline with automated tests

Continuous Delivery and

Deployment (CD)

Assignment

Explain deployment strategies and configure IaC basics

CI/CD Tools and Platforms

Hands-on task

Configure Jenkins or GitLab CI/CD pipeline

Containerization and Orchestration

Practical project

Containerize app with Docker and deploy using

Kubernetes

Automated Testing in CI/CD

Coding + automation task

Automate unit and integration tests in CI pipeline

Monitoring and Logging

Quiz + hands-on

Setup monitoring with Prometheus and create dashboards

Security in CI/CD Pipelines

Quiz + scenario analysis

Implement security scans and manage secrets in pipelines

Capstone Project

Final project + presentation

Build and demonstrate a full CI/CD pipeline with monitoring and rollback

Module No.

Module Title

Topics Covered

Duration

1

Introduction to DevOps

DevOps culture, principles, lifecycle, tools

1 Week

2

Software Testing Fundamentals

Testing types, automated/manual testing, TDD, BDD, tools

1 Week

3

Continuous Integration (CI)

CI concept, pipeline setup, code quality, automated tests

1 Week

4

Continuous Delivery and Deployment (CD)

Delivery vs deployment, strategies, Infrastructure as Code (IaC), config management

1 Week

5

CI/CD Tools and Platforms

Jenkins, GitLab CI/CD, CircleCI, Docker integration

1 Week

6

Containerization and Orchestration

Docker basics, Docker Compose, Kubernetes, Helm charts

1.5 Weeks

7

Automated Testing in CI/CD

Unit, integration, performance, and security testing automation

1 Week

8

Monitoring and Logging

Monitoring importance, Prometheus, Grafana, ELK stack, alerting

1 Week

9

Security in CI/CD Pipelines

DevSecOps, security scans, secrets management, compliance

1 Week

10

Capstone Project

Build full CI/CD pipeline, automate build/test/deploy, containerization, monitoring, rollback

1.5 Weeks

Module

Topic

Key Highlights

1

Introduction to Flutter

·        What is Flutter & Dart, setup, comparison with native apps

2

Dart Programming Basics

·        Dart syntax, OOP, async/await, streams

3

Flutter Widgets & UI Design

·        Stateless/Stateful widgets, layout, Material/Cupertino design

4

State Management

·        setState, Provider, overview of Bloc & Riverpod

5

Navigation and Routing

·        Navigation APIs, data passing, named routes, deep linking

6

Working with Data

·        REST APIs, JSON, local storage, Firebase basics

7

Animations and Graphics

·        Basic and custom animations, drawing with CustomPainter

8

Testing Flutter Apps

·        Unit, widget, integration tests, using Flutter DevTools

9

Deployment

·        Build for Android/iOS, CI/CD, app publishing

10

Capstone Project

·        Complete app with real features, storage, state, and animations

Module

Assessment Type

What to Do

1

Quiz

Test understanding of Flutter basics & setup

2

Coding Task

Write Dart functions & use async/await

3

UI Design Task

Build a simple UI using layout widgets

4

Practical Exercise

Implement state management using setState & Provider

5

Hands-on Task

Create a multi-screen app with routing

6

API Integration Task

Fetch and display data from an API

7

Animation Task

Add animations to a screen using Flutter animations

8

Testing Assignment

Write basic unit and widget tests

9

Deployment Activity

Build and prepare app for Android/iOS deployment

10

Final Capstone Project

Complete and present a functional app with full features

SI No.

Module

Activities

Duration

1

Introduction to Flutter

Setup Flutter, run first app, quiz

1 Week

2

Dart Programming Basics

Learn Dart syntax, write functions

1 Week

3

Widgets and UI Design

Build UI, layout practice

1 Week

4

State Management

Practice with Provider & setState

1 Week

5

Navigation and Routing

Build multi-screen app

1 Week

6

Working with Data

API & local storage integration

1 Week

7

Animations and Graphics

Add basic/custom animations

1 Week

8

Testing Flutter Apps

Unit & widget testing

1 Week

9

Deployment

Package & test app, CI/CD intro

1 Week

10

Capstone Project

Build full app, submit, present

1.5 Weeks

Module

Topic

Description

1

Introduction to Test Automation

·        Learn testing basics and the need for automation

2

Selenium WebDriver Basics

·        Set up Selenium and write basic automation scripts

3

Advanced Selenium WebDriver

·        Handle alerts, dropdowns, waits, and screenshots

4

Test Frameworks and  Integration

·        Use JUnit or TestNG to write and run test cases

5

Selenium with Maven and Git

·        Manage projects using Maven and push code to GitHub

6

Page Object Model (POM)

·        Build reusable, maintainable test code using POM

7

Cross-Browser and Parallel

Testing

·        Run tests on multiple browsers using Selenium Grid and TestNG

8

CI/CD Integration

·        Automate test execution using Jenkins

9

Advanced Topics

·        File upload/download, JavaScriptExecutor, and Cucumber for BDD

10

Capstone Project

·        Complete automation of a real web app with framework and CI/CD integration

Module

Assessment Type

What to Do

1

Quiz

Test basics of testing and Selenium

2

Practical Task

Write a script to automate a login page

3

Hands-on Task

Handle dropdowns, alerts, and use waits

4

Assignment

Create test cases using TestNG or JUnit

5

Coding Task

Setup Maven project and push to GitHub

6

Mini Project

Implement POM for a simple web app

7

Lab Activity

Run tests on Chrome and Firefox in parallel

8

CI/CD Task

Configure Jenkins to run tests automatically

9

Practice Task

Automate file upload/download and dynamic elements

10

Capstone Project

Full test automation project with framework and CI integration

SI No.

Module

Activities

Estimated Duration

1

Intro to Test Automation

Concepts of automation, install Selenium

2 hours

2

Selenium WebDriver Basics

Write simple automation scripts

3 hours

3

Advanced Selenium

Use waits, handle alerts and elements

3 hours

4

Test Frameworks

Write test cases using TestNG/JUnit

3 hours

5

Maven & Git

Manage project and code using Maven & Git

2.5 hours

6

Page Object Model

Create reusable scripts with POM

3 hours

7

Cross-Browser Testing

Run tests on multiple browsers and use Selenium Grid

3 hours

8

CI/CD Integration

Automate tests with Jenkins

3 hours

9

Advanced Topics

Automate downloads, uploads, use Cucumber

3 hours

10

Capstone Project

Build full testing project with all concepts

5 hours

Module

Topic

Key Highlights

1

Introduction to Cloud Computing

·        Basics of cloud, service & deployment models, benefits, and risks

2

Major Cloud Providers Overview

·        AWS, Azure, GCP basics and their core services

3

Cloud Architecture Basics

·        VMs, containers, storage types, and networking in the cloud

4

Identity and Access Management (IAM)

·        Roles, policies, MFA, and security best practices

5

Cloud Security Fundamentals

·        Encryption, firewalls, VPNs, and monitoring security

6

Compliance and Governance

·        Compliance standards, resource tagging, and cost controls

7

Securing Cloud Workloads

·        Secure cloud resource setup, application & container security

8

Monitoring and Logging

·        Use of cloud-native tools for monitoring, logging, and alerts

9

Security Tools and Automation

·        Security services, IaC security, and automated compliance tools

10

Capstone Project

·        Create and secure a cloud setup, with IAM, monitoring, and security assessment

Module

Assessment Type

What to Do

1–2

Quiz

Answer MCQs on cloud models and providers

3–4

Practical Task

Set up a virtual machine and apply IAM roles

5–6

Case Study

Analyze a cloud security scenario and suggest improvements

7–8

Hands-on Lab

Configure monitoring, logging, and secure a cloud application

9

Mini Project

Use automation to enforce cloud security policies

10

Capstone Project

Design a secure cloud environment and present your solution

Week

Topic

Focus Activities

Duration

1

Introduction to Cloud Computing

Understand basic concepts, deployment models, benefits, risks

1 Week

2

Major Cloud Providers Overview

Explore AWS, Azure, GCP services and security offerings

1 Week

3

Cloud Architecture Basics

Study multi-tier architecture, shared responsibility model

1 Week

4

Identity and Access Management (IAM)

Practice setting roles, permissions, policies in cloud environments

1 Week

5

Cloud Security Fundamentals

Learn encryption, firewall configuration, network security

1 Week

6

Compliance and Governance

Study GDPR, HIPAA, ISO standards, cloud audits

1 Week

7

Securing Cloud Workloads

Hands-on securing apps, containers, VMs, serverless environments

1 Week

8

Monitoring and Logging

Use tools like CloudWatch, Stackdriver, ELK stack for real-time insights

1 Week

9

Cloud Security Tools and Automation

Automate scanning, patching, threat detection using open-source & cloud-native tools

1 Week

10

Capstone Project

Plan and secure a cloud-based app, present IAM, security, and monitoring setup

1.5 Weeks

Module

Title

Key Highlights

Module 1

Introduction to React Native

·        Learn about React Native architecture, setup, and comparison with other tools.

Module 2

JavaScript and React

Fundamentals

·        Understand modern JavaScript, React components, props, state, and hooks.

Module 3

React Native Components and

Styling

·        Build user interfaces using core components and apply responsive styling.

Module 4

Navigation

·        Implement screen-to-screen navigation using React Navigation library.

Module 5

State Management

·        Manage app state using useState, Context API, and Redux.

Module 6

Networking and Data Handling

·        Work with REST APIs, fetch and display data, handle JSON and errors.

Module 7

Device Features and Native

Modules

·        Access device features like GPS and camera using permissions and APIs.

Module 8

Testing React Native Apps

·        Write unit and end-to-end tests using Jest and Detox/Appium.

Module 9

Deployment

·        Prepare app for release and publish to Play Store or App Store.

Module 10

Capstone Project

·        Build and present a complete app covering all learned concepts.

Module

Assessment Type

What to Do

1–2

Quiz + Coding Exercise

Set up environment & build a basic component using props and state

3–4

Mini Project

Design a styled multi-screen app with navigation

5–6

Hands-on Task

Implement global state and fetch data from API

7–8

Lab Task

Access device features and write unit/snapshot tests

9

Deployment Task

Generate APK and publish to store or emulate using Expo

10

Capstone Project

Build a full app integrating API, navigation, state, and device features

Week

Topic

Focus Activities

1

Introduction to React Native

Setup environment, run first app, understand mobile app development lifecycle

2

JavaScript and React Fundamentals

Learn JS ES6+, JSX, props, state, and component lifecycle basics

3

Components and Styling

Create custom components, use StyleSheet, Flexbox layout

4

Navigation

Implement stack, tab, and drawer navigation using React Navigation

5

State Management

Use useState, Context API, and intro to Redux for managing app state

6

Networking and Data Handling

Fetch APIs, handle JSON data, error handling, and async operations

7

Device Features and Native Modules

Integrate camera, location, notifications using native modules and Expo

8

Testing React Native Apps

Unit and UI testing using Jest and React Native Testing Library

9

Deployment

Build and deploy apps to Android and iOS (Expo, EAS, or native build tools)

10

Capstone Project

Build and present a complete mobile app using learned concepts

Module

Title

Key Highlights

1

Introduction to Containerization

·        Understand containers, benefits over VMs, and use cases.

2

Docker Fundamentals

·        Learn Docker installation, CLI basics, and architecture.

3

Docker Images and Containers

·        Create and manage Docker images and containers.

4

Docker Networking and Storage

·        Explore container networking, volumes, and persistent storage.

5

Docker Compose

·        Build multi-container apps using Docker Compose.

6

Introduction to Kubernetes

·        Learn Kubernetes components and key concepts (pods, deployments, etc.).

7

Kubernetes Setup and CLI

·        Install Kubernetes (Minikube/kind), use kubectl, and write YAML.

8

Deploying Applications on Kubernetes

·        Deploy and manage apps using Deployments, Services, ConfigMaps, and Secrets.

9

Scaling and Updating Applications

·        Implement autoscaling, rolling updates, and health checks.

10

Storage and Persistent Volumes

·        Work with PVs, PVCs, and StatefulSets.

11

Kubernetes Advanced Topics

·        Learn Helm, Ingress, monitoring, and Kubernetes security practices.

12

Capstone Project

·        Containerize and deploy a full app, implement scaling, monitoring,storage

Module

Assessment Type

What to Do

Introduction to Containerization

Quiz

Answer basic questions on containers vs VMs, benefits

Docker Fundamentals

Lab Task

Use Docker CLI commands to run and manage containers

Docker Images and Containers

Assignment

Write and optimize Dockerfiles, build custom images

Docker Networking and Storage

Lab Task

Set up container networking and use volumes

Docker Compose

Mini Project

Define and deploy a multi-container app with Docker Compose

Introduction to Kubernetes

Quiz

Test concepts like pods, deployments, services

Kubernetes Setup and CLI

Lab Task

Practice kubectl commands, setup local cluster

Deploying Applications on Kubernetes

Assignment

Create YAMLs for pods, services, configMaps

Scaling and Updating Applications

Lab Task

Implement HPA, perform rolling updates and rollbacks

Storage and Persistent Volumes

Assignment

Use PVCs, storage classes

Kubernetes Advanced Topics

Quiz / Lab Task

Set up Ingress, use Helm, apply RBAC and monitoring tools

Capstone Project

Project +

Presentation

Deploy full app, include scaling, storage, logging; present setup

Week

Topic

Focus Activities

Duration

1

Introduction to React Native

Environment setup, run first app, overview of mobile dev lifecycle

4–6 hours

2

JavaScript & React Fundamentals

ES6+, JSX, props, state, components

6–8 hours

3

Components and Styling

Create reusable components, styling with Flexbox and StyleSheet

6–7 hours

4

Navigation

React Navigation: Stack, Tab, Drawer navigation

5–6 hours

5

State Management

useState, Context API, intro to Redux

5–6 hours

6

Networking & Data Handling

Fetch API data, async/await, error handling

6–7 hours

7

Device Features & Native Modules

Camera, location, notifications, native integration via Expo

6–8 hours

8

Testing React Native Apps

Jest testing, component/UI tests, snapshot testing

5–6 hours

9

Deployment

Build and publish to Play Store/App Store or deploy via Expo

4–6 hours

10

Capstone Project

Design, build, and present a complete mobile app

8–10 hours

Module No.

Module Title

Key Highlights

1

Introduction to Big Data Ecosystem

·        Big Data overview, Spark, Kafka, Scala role

2

Scala Fundamentals

·        Scala basics: syntax, data types, functions, OOP

3

Advanced Scala Concepts

·        Case classes, pattern matching, traits, concurrency

4

Apache Spark Basics

·        Spark architecture, RDDs, DataFrames, Spark SQL

5

Spark Advanced Topics

·        Dataset API, streaming, window ops, tuning

6

Introduction to Apache Kafka

·        Kafka architecture, brokers, topics, producers

7

Kafka Producer and Consumer APIs

·        Writing Kafka producers/consumers in Scala

8

Integrating Spark with Kafka

·        Spark Streaming with Kafka, data processing

9

Monitoring and Managing Kafka and Spark

·        Monitoring tools, Spark UI, fault tolerance

10

Capstone Project

·        Build and deploy streaming data pipeline

Module

Assessment Type

What to Do

1. Big Data Ecosystem

Quiz

Answer questions about Big Data, Spark, Kafka,

Scala basics

2. Scala Fundamentals

Coding Exercises

Write Scala programs using syntax, functions, collections

3. Advanced Scala Concepts

Coding and Short

Quiz

Solve problems using case classes, traits, Futures

4. Apache Spark Basics

Practical Assignment

Use Spark to create RDDs, DataFrames, run queries

5. Spark Advanced Topics

Project Task

Optimize Spark jobs, implement streaming tasks

6. Apache Kafka Introduction

Quiz and Short Tasks

Explain Kafka architecture, create topics

7. Kafka Producer/Consumer APIs

Coding Assignment

Write Kafka producers and consumers in Scala

8. Spark-Kafka Integration

Hands-on Project

Build streaming app integrating Spark and Kafka

9. Monitoring & Management

Case Study & Quiz

Analyze monitoring metrics and fault tolerance

10. Capstone Project

Final Project

Build full streaming pipeline with Scala, Spark, Kafka

Module No.

Module Title

Key Activities

Estimated Duration

1

Introduction to Big Data Ecosystem

Overview lectures, ecosystem walkthrough, group discussions

4–5 hours

2

Scala Fundamentals

Hands-on coding sessions, syntax practice, mini exercises

6–8 hours

3

Advanced Scala Concepts

Pattern matching, collections, functional programming

6–7 hours

4

Apache Spark Basics

Spark setup, RDDs, DataFrames labs

7–8 hours

5

Spark Advanced Topics

Spark Streaming, tuning, structured APIs

7–9 hours

6

Introduction to Apache Kafka

Kafka architecture, topics/partitions, cluster demo

4–5 hours

7

Kafka Producer and Consumer APIs

Develop Kafka producers/consumers, test apps

6–7 hours

8

Integrating Spark with Kafka

Stream pipeline coding, Spark Streaming with Kafka

6–8 hours

9

Monitoring and Managing Kafka and Spark

Logging, metrics, fault tolerance labs

5–6 hours

10

Capstone Project

Project planning, implementation, code walkthrough, demo

10–12 hours

Module

Title

Key Topics Covered

1

Introduction to Snowflake

·        Snowflake overview, architecture, environment setup

2

Snowflake Basics

·        Databases, schemas, loading data, querying with SQL

3

Advanced SQL for Snowflake

·        Joins, CTEs, window functions, transactions, time travel

4

Performance Optimization in

Snowflake

·        Clustering, caching, profiling, optimization

5

Introduction to dbt

·        dbt setup, project structure, models, sources, macros

6

dbt Core Features

·        Incremental models, snapshots, Jinja templating, testing

7

Advanced dbt Usage

·        Project refactoring, hooks, dbt Cloud, CI/CD

8

Data Governance and Security

·        RBAC, sensitive data, auditing, compliance in Snowflake

9

Integration and Ecosystem

·        Connecting to BI tools, scheduling with Airflow or other tools

10

Capstone Project

·        End-to-end data pipeline using Snowflake and dbt with optimization and documentation

Module 1

Quiz + Setup Task

Quiz on Snowflake architecture + set up Snowflake environment

Module 2

Lab Task

Load sample data and write basic SQL queries in Snowflake

Module 3

SQL Exercise

Write advanced SQL queries with joins, CTEs, and window functions

Module 4

Optimization Challenge

Analyze and improve query performance using profiling tools

Module 5

dbt Project Setup

Initialize a dbt project and connect to Snowflake

Module 6

SQL Model Implementation

Create modular models and document/test them in dbt

Module 7

Workflow Task

Automate dbt jobs using hooks and version control

Module 8

Case Study

Implement security and governance setup in Snowflake

Module 9

Integration Exercise

Connect Snowflake with BI tools and schedule dbt jobs

Module 10

Capstone Project

Build end-to-end data pipeline and present optimization/reporting

Module No.

Module Title

Key Activities

Estimated Duration

1

Introduction to Snowflake

Account setup, platform UI walkthrough

3–4 hours

2

Snowflake Basics

Data loading (staging), basic querying labs

4–5 hours

3

Advanced SQL for Snowflake

CTEs, window functions, joins, practice problems

5–6 hours

4

Snowflake Performance Optimization

Query profiling, clustering, caching optimization

4–5 hours

5

Introduction to dbt

Install dbt, init project, dbt Cloud vs Core

3–4 hours

6

dbt Core Features

Model building, testing, documentation

5–6 hours

7

Advanced dbt Usage

Refactoring models, exposures, CI/CD concepts

4–5 hours

8

Data Governance and Security

Roles, policies, row-level security, auditing

4–5 hours

9

Integration and Ecosystem

Connect with BI tools (Tableau, Looker), orchestration tools like Airflow

4–5 hours

10

Capstone Project

End-to-end pipeline with dbt + Snowflake, test & optimize

8–10 hours

Module No.

           Module Title

Key Highlights

1

Introduction to Data Visualization

·        Importance of visualization, overview of Tableau and Power BI, dashboards, KPIs

2

Getting Started with Tableau

·        Installing Tableau Desktop, connecting data sources, interface basics, simple chart creation

3

Data Preparation in Tableau

·        Data blending, joining, filters, groups, calculated fields, working with dates and hierarchies

4

Advanced Visualization in Tableau

·        Interactive dashboards, actions, tooltips, maps, advanced charts

5

Introduction to Power BI

·        Installing Power BI Desktop, connecting data, interface overview, simple visualizations

6

Data Modeling in Power BI

·        Power Query Editor, data transformation, table relationships, introduction to DAX

7

Advanced Power BI Visualizations

·        Reports and dashboards, slicers, custom visuals, drill-through, bookmarks

8

Sharing and Collaboration

·        Publishing dashboards and reports, row-level security, collaboration features

9

Performance Optimization

·        Dashboard design best practices, query and data refresh optimization, handling large datasets

10

Capstone Project

·        End-to-end dashboard using Tableau and Power BI, multi-source integration, storytelling

Module No.

Assessment Type

What to Do / Focus Area

1-2

Quiz

Basic concepts of data visualization, Tableau and Power BI fundamentals

3-4

Practical Assignment

Create visualizations and dashboards in Tableau

5-6

Quiz + Hands-on

Task

Power BI basics, data modeling, and simple reports

7

Practical Assignment

Advanced Power BI reports with slicers, bookmarks, and custom visuals

8

Case Study / Report

Sharing, security, and collaboration features

9

Short Quiz

Performance optimization best practices

10

Capstone Project

Build and present a full dashboard project integrating multiple data sources and interactivity

Module No.

Module Title

Activities

Estimated Duration

1

Introduction to Data Visualization

Overview, concepts, tools introduction

2–3 hours

2

Getting Started with Tableau

Install Tableau, connect data, create basic charts

3–4 hours

3

Data Preparation in Tableau

Data blending, calculated fields, filters

3–4 hours

4

Advanced Visualization in Tableau

Dashboards, maps, interactive charts

4–5 hours

5

Introduction to Power BI

Install Power BI, connect data, basics

3–4 hours

6

Data Modeling in Power BI

Power Query, relationships, introduction to DAX

4–5 hours

7

Advanced Power BI Visualizations

Dashboards, custom visuals, drill-through

4–5 hours

8

Sharing and Collaboration

Publishing, sharing, security, collaboration

3 hours

9

Performance Optimization

Dashboard best practices, data refresh

3 hours

10

Capstone Project

Build integrated dashboards, present insights

6–8 hours

Module No.

Module Title

Key Highlights

1

Introduction to Azure Databricks

·        Databricks overview, Spark basics, architecture

2

Setting Up Environment

·        Workspace creation, cluster types, user roles

3

Apache Spark Basics

·        RDDs, DataFrames, Datasets, Spark SQL, notebooks

4

Data Ingestion and ETL

·        Loading data, transformations, writing data sinks

5

Delta Lake

·        ACID transactions, time travel, schema evolution

6

Advanced Data Processing

·        Streaming, window functions, MLlib basics

7

Integration with Azure Services

·        Azure Data Factory, Synapse, Power BI, AAD security

8

Monitoring and Management

·        Cluster monitoring, auto-scaling, job scheduling

9

Collaborative Development

·        Notebooks collaboration, Git integration, workflows

10

Capstone Project

·        Build ETL pipeline, Delta Lake use, data analysis & viz

Module No.

Assessment Type

Description/What to Do

1

Quiz

Basics of Databricks, Spark, architecture concepts

2

Practical Assignment

Setup Databricks workspace, create clusters, assign roles

3

Hands-on Lab

Use Spark Core concepts with RDDs, DataFrames, and SQL

4

Project Task

Build ETL pipeline: data ingestion and transformation

5

Practical Exercise

Implement Delta Lake features: transactions, time travel

6

Lab/Assignment

Use Structured Streaming, window functions, basic ML models

7

Integration Project

Connect Databricks with Azure services (Data Factory, Power BI)

8

Monitoring Exercise

Configure cluster monitoring, auto-scaling, job monitoring

9

Group Activity

Collaborative notebook use, Git version control

10

Capstone Project

Complete ETL pipeline with Delta Lake and data visualization

SI No.

Topics Covered

Activities / Deliverables

Duration

1

Introduction to Azure Databricks

Quiz on basics

1.5 hours

2

Setting Up Azure Databricks Environment

Practical setup of workspace and clusters

2 hours

3

Basics of Apache Spark on Databricks

Hands-on lab with RDDs, DataFrames, Spark SQL

3 hours

4

Data Ingestion and ETL Pipelines

Build simple ETL pipeline

3 hours

5

Delta Lake on Azure Databricks

Implement Delta Lake features

2.5 hours

6

Advanced Data Processing

Lab on streaming and MLlib basics

3 hours

7

Integration with Azure Services

Project integrating Databricks with Azure services

3 hours

8

Monitoring and Management

Configure monitoring and auto-scaling

2 hours

9

Collaborative Development

Group work on notebooks and Git

2 hours

10

Capstone Project

Build and present end-to-end ETL pipeline

6 hours

Module

Title