Generative AI: Introduction and Applications

About this course

This IBM-led introduction breaks down generative AI from the ground up—explaining what these models can do, where they're already transforming industries, and how tools like ChatGPT, Claude, and Gemini actually work. You'll move past the hype to understand both the real potential and the current limits of generative AI.

IBM brings decades of enterprise AI experience to this course, so the examples are grounded in how companies are actually using these tools today, not speculative futures.

What you'll learn

• The core concepts behind generative AI: how large language models are trained, what transformers are, and why they've changed what's possible
• Hands-on familiarity with popular tools—ChatGPT, Google Gemini, and others—and when to use each one
• Real-world use cases across industries: customer service automation, content creation, software development, and data analysis
• How to write effective prompts to get better outputs from generative AI tools
• The key limitations and risks of generative AI, including hallucinations, bias, and data privacy concerns
• Practical applications you can use immediately in your own work or studies
• Where generative AI fits in the broader AI landscape versus traditional machine learning

Who this is for

This course is built for anyone curious about AI but intimidated by the technical jargon. You don't need a math degree or coding experience—just genuine interest in understanding tools that are reshaping how work gets done.

• Students — demystify AI before your first job interview or freelance project, so you can speak confidently about what you actually know
• Working professionals — discover how to integrate generative AI into your day-to-day work, whether you're in marketing, customer support, design, or management
• Career changers exploring AI — test the waters with a structured, free introduction before committing to a longer specialization

Prerequisites

None — this course is beginner-friendly. No coding, no advanced math, no prior AI knowledge required. You just need to be willing to try out some tools and think critically about what you see.

Why this matters for Indian learners

India's tech sector is racing to adopt AI, and generative AI skills are already differentiating candidates in hiring. Companies across Bangalore, Hyderabad, and Mumbai—from startups to Infosys, TCS, and Google—are actively looking for people who understand how to work with these tools, not just theorize about them.

This course gives you that practical foundation in 6 hours. Whether you're aiming for a role in IT services, building your own AI-assisted freelance business, or moving into AI-adjacent fields like product management or business analysis, understanding generative AI is no longer optional in India's job market.

Frequently asked questions

Is this course really free?

Yes, completely free. You can audit the entire course at no cost and even earn a certificate if you want one.

How long will it take to complete?

The course is designed to take about 6 hours total. If you dedicate 1–2 hours per week, you'll finish it in 3–6 weeks. You can move faster or slower based on your schedule—there's no time pressure.

Will I get a certificate?

Yes, IBM offers a certificate upon completion. It won't be a formal degree, but it's recognized on LinkedIn and shows employers you've taken the time to learn properly about generative AI.