Generative AI has moved past the hype stage. Companies across India are now hiring for roles that require real-world knowledge of LLMs, prompt engineering, and AI-powered workflows—not just awareness of the technology. If you already know what generative AI is but cant actually build with it, you’re in a tricky spot. Two of these programs stand apart from the rest.
How We Selected These Generative AI Courses
- Focus on practical, real-world skills, not theory alone
- Alignment with tools, frameworks, or workflows used in 2026
- Strong relevance to India job market expectations
- Courses offered by reputable platforms, universities, or industry providers
- Emphasis on hands-on projects, exercises, or applied learning
Overview: Best Generative AI Courses for 2026
| # | Program Name | Provider | Primary Focus | Delivery | Ideal For |
| 1. | Generative AI for Everyone | Coursera | LLM Foundations | Online, Self Paced | Business professionals new to AI |
| 2. | Certificate in Generative AI | IIT Bombay | Applied GenAI Development | Online, 5 Months | Mid-career software and data professionals |
| 3. | Generative AI for Business with Microsoft Azure OpenAI | Great Learning | Business AI with Azure | Online, 16 Weeks | Business analysts and product managers |
| 4. | AI Engineer Path for JavaScript Developers | Scrimba | Code-first GenAI | Online, 8-9 Hours | Frontend developers adding AI to their stack |
| 5. | Generative AI Foundations | CloudThat | Conceptual and Applied GenAI | Online, Self Paced | Tech professionals starting their GenAI path |
Best Programs for IIT Bombay Gen AI Course and Microsoft Generative AI Course in 2026
1. Generative AI for Everyone — Coursera
Overview
You spend most of this course understanding how LLMs work, where they fail, and how to write prompts that get usable results. Andrew Ng keeps things conversational—no code required.
Unlike the IIT Bombay program below, there are no hands-on build projects here. That’s the real tradeoff. It’s a solid starting point, but professionals who want to deploy AI tools will hit a ceiling fast.
- Delivery and Duration: Online, self paced, approximately 6 hours
- Credentials: Coursera completion certificate
- Instructional Quality and Design: Video lectures with real-world scenario walkthroughs and short quizzes
- Support: Coursera discussion forums and peer review
Key Outcomes
- Prompt writing for business tasks like summarization and drafting
- Understanding LLM limitations and when not to use AI
Why Choose This
Pick this if you need a fast, no-code introduction before committing to a longer paid program.
Who Should Avoid
Skip it if you already work in tech and want to build real AI features — this one won’t get you there.
2. Certificate in Generative AI — IIT Bombay
Overview
The iit bombay gen ai course is a 5-month online program built and taught by IIT Bombay faculty through the Technocraft Centre for Applied AI. You work through prompts, RAG pipelines, fine-tuning, AI agents, and LLMOps — in that order, which matters.
Weekly live sessions make the schedule real, not flexible. Longer than the Microsoft Azure program at 16 weeks, but covers significantly more ground on the engineering side.
- Delivery and Duration: Online, 5 months, weekly live sessions
- Credentials: IIT Bombay certificate
- Instructional Quality and Design: Faculty-led live sessions paired with hands-on projects using real GenAI tools
- Support: Live interactive sessions plus expert helpline
Key Outcomes
- Build RAG-based applications and LLM-powered workflows
- Deploy and manage GenAI features using LLMOps practices
- Design AI agents from scratch
Why Choose This
The IIT Bombay name carries weight in Indian hiring, and the engineering depth here is real—not surface-level.
Who Should Avoid
If you’re not in a technical role and can’t commit to a live weekly schedule, this will be hard to keep up with.
3. Generative AI for Business with Microsoft Azure OpenAI — Great Learning
Overview
Unlike the IIT Bombay program, this microsoft generative ai course targets business output, not engineering depth. At 16 weeks, you work inside OpenAI Studio, Azure AI Studio, and Promptflow — tools you’d actually use in a corporate Azure setup.
You earn dual certificates from Microsoft and Great Lakes, which is the main draw. I expected more case study variety here, but what’s included is tightly scoped to business use.
- Delivery and Duration: Online, 16 weeks
- Credentials: Dual certificates from Microsoft and Great Lakes
- Instructional Quality and Design: Real-world case studies with live mentorship from industry professionals
- Support: Live mentorship sessions throughout the program
Key Outcomes
- Hands-on work in Azure AI Studio and Promptflow
- Prompt engineering applied to business problem-solving
Why Choose This
The Microsoft certificate is a credible credential for business-facing roles. Choose this if your company runs on Azure.
Who Should Avoid
Developers who want to build AI products from code up will find this program too light on technical depth.
4. AI Engineer Path for JavaScript Developers — Scrimba
Overview
Eight to nine hours. That’s it. Scrimba’s path is short by design — it gets JavaScript developers writing AI-powered features fast, using their existing skills. You build small projects using LLM APIs, not theory modules.
Nothing here covers RAG or agents at the level the IIT Bombay program does. But for a frontend developer who wants one working AI feature in their portfolio by next week, this is the right call.
- Delivery and Duration: Online, self paced, 8-9 hours
- Credentials: Scrimba completion certificate
- Instructional Quality and Design: Interactive coding environment where you write and run code directly in the browser
- Support: Scrimba community Discord and course forums
Key Outcomes
- Integrate LLM APIs into JavaScript projects
- Build a working AI-powered web feature
Why Choose This
Best for JavaScript developers who want something deployable fast, not a six-month commitment.
Who Should Avoid
Anyone without a coding background should look elsewhere — this one assumes you already write JavaScript regularly.
5. Generative AI Foundations — CloudThat
Overview
CloudThat’s foundations program covers transformers, large language models, training methods, and real-world use cases.
Good for a tech consultant or analyst who needs enough knowledge to speak credibly about GenAI in client meetings — but not enough to build production systems alone.
- Delivery and Duration: Online, self paced
- Credentials: CloudThat completion credential
- Instructional Quality and Design: Industry use case walkthroughs paired with hands-on labs
- Support: CloudThat learner support team
Key Outcomes
- Understand how LLMs and transformer models work internally
- Apply GenAI concepts to product and workflow planning tasks
- Identify practical limits of generative systems in production
Why Choose This
A solid bridge between zero knowledge and a more technical program like the IIT Bombay gen AI course.
Who Should Avoid
Skip this if you already have ML or data science experience — the foundations level will feel slow.
Final Thoughts
Generative AI skills are now a real filter in Indian tech hiring, not a bonus. If you are serious about building with AI, gen ai courses like the IIT Bombay Gen AI course offer some of the strongest engineering depth among the options listed here.
If your work sits closer to business and product, gen ai courses such as the Microsoft Generative AI course, with its Azure-specific tools and dual credentials, can be a more direct path. Pick based on what your next role actually needs.