Generative AI: Zero to Job-Ready

A free, self-paced course designed for Indian engineering students and freshers. No maths, no jargon, no prior experience needed.

Generative AI: Zero to Job-Ready

5 units 20 modules 4 weeks Free No prerequisites

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Your progress

1 of 20 modules complete

1

Understanding GenAI

Week 1 · What LLMs are and why they matter for your career

1.1 What is Generative AI

1.2 ChatGPT vs Claude vs Gemini

1.3 How Indian companies use GenAI

1.4 Risks and responsible use

✎ 1.1 Assignment: Identify 5 GenAI tools already in your environment ✎ 1.2 Assignment: Try all three tools on the same prompt and compare ✎ 1.3 Assignment: Research your target company’s AI strategy ✎ 1.4 Assignment: Catch an AI hallucination in your own domain

2

Prompt Engineering Basics

Week 1–2 · Write prompts that actually work

2.1 Anatomy of a good prompt

2.2 Zero-shot, few-shot, CoT

2.3 Role prompting and personas

2.4 Common prompt mistakes

✎ 2.1 Assignment: Rewrite 3 weak prompts using the 6 components ✎ 2.2 Assignment: Use all three techniques on real tasks ✎ 2.3 Assignment: Build your personal role prompt library ✎ 2.4 Assignment: Rewrite 3 prompts using the full Unit 2 toolkit

3

GenAI for Your Job

Week 2–3 · Practical AI for developers, analysts and managers

3.1 For developers

3.2 For analysts

3.3 For managers

3.4 Your prompt library

✎ 3.1 Assignment: Apply AI to a real development task ✎ 3.2 Assignment: Summarise a real dataset or report using AI ✎ 3.3 Assignment: Draft a professional communication using AI ✎ 3.4 Assignment: Build a 10-prompt library for your specific role

4

Advanced Techniques

Week 3 · RAG, AI agents and automation workflows

4.1 RAG explained simply

4.2 AI agents and workflows

4.3 Fine-tuning vs prompting

4.4 No-code AI tools

✎ 4.1 Assignment: Identify a RAG use case in your domain ✎ 4.2 Assignment: Map an AI agent workflow for a real task ✎ 4.3 Assignment: Decide prompt vs fine-tune for your use case ✎ 4.4 Assignment: Build a simple AI workflow for a real task

5

Career and India Context

Week 4 · Certifications, resume, freelancing and final project

5.1 Certifications worth getting

5.2 Resume, LinkedIn and Naukri

5.3 Freelancing with AI

5.4 Final project

✎ 5.1 Assignment: Pick and plan your GenAI certification path ✎ 5.2 Assignment: Update your resume, LinkedIn and Naukri with AI skills ✎ 5.3 Assignment: Identify one AI freelancing opportunity to pursue 🏆 Final project: Create your personal AI Toolkit document

How the course works

Self-paced — read one module per day and finish in 4 weeks. Each module takes 10–15 minutes to read. Every module ends with one small, practical assignment taking 20–30 minutes. No video lectures, no sign-ups, no paywalls. Everything is free and available immediately.

Your progress is saved automatically in your browser. When you return to this page, completed modules will be shown in green.

What you will learn

✓Explain how Generative AI and LLMs work — in plain language

✓Write effective prompts using zero-shot, few-shot, and CoT techniques

✓Use ChatGPT, Claude, and Gemini strategically for your specific role

✓Build a personal prompt library tailored to your daily tasks

✓Understand RAG, AI agents, and automation workflows

✓Position your GenAI skills on your resume, LinkedIn, and Naukri

✓Identify freelancing and career opportunities in the Indian AI market

✓Leave with real deliverables — prompt library, AI workflow, AI Toolkit

Frequently asked questions

Is this course really free?

Yes, completely free. No registration, no payment, no hidden fees.

Do I need coding experience?

No. Designed for all IT students including non-developers. Unit 3 has a dedicated developer module if you code, but it is not required.

Which AI tools do I need?

A free ChatGPT account is enough to complete all assignments. Claude and Gemini both have free tiers. No paid subscriptions required.

Is this useful for campus placements?

Yes — Unit 5 is specifically designed around placement preparation. Module 5.2 covers listing AI skills on your resume and Naukri profile to stand out to recruiters.

Will I get a certificate?

A completion certificate is in development. Subscribe at CHANDRAS EDU to be notified when it launches.

About the instructor

Chandra Shaker is an Electronics and Communication Engineering faculty member with industry experience and a focus on AI/ML education for students. He writes about AI, careers, and investing for Indian audiences at CHANDRAS EDU.

Also on this site: Principles of AI and Machine Learning — M.Tech II Semester