Hands-on training from trainers who are still building AI systems for a living. Real projects, a recognised certification, and placement support that continues until you're hired.
Open any job portal and search "AI" in Chennai. Roles now ask for prompt engineering, LLM integration, RAG pipelines, and generative model fine-tuning — skills that weren't even job titles two years back.
Most computer science degrees don't cover this. Neither do the general coding bootcamps built around web development. So people end up piecing it together from scattered YouTube playlists, half-finished online courses, and documentation that assumes you already know what a transformer model is.
That gap is exactly why we built this Generative AI course in Chennai — a program that starts from where you actually are, and gets you to where the job market already is.
We see the same pattern in almost every interview: candidates who can define "transformer" but freeze the moment they're asked to fix a broken prompt chain or explain why a RAG pipeline returned the wrong answer. Interviews in 2026 test judgment, not definitions. This course is built around that reality.
This Generative AI course in Chennai works whether you're starting fresh or switching direction. Here's who tends to do well in it.
You have the fundamentals but no project to show for it yet. This course gives you three or four you can actually explain in an interview.
You write code daily but haven't touched LLMs or RAG. Evening and weekend batches let you learn without quitting your job.
You know Python and statistics. This course adds the generative AI layer that's now showing up in analytics job descriptions.
Coming from a non-tech background? The early modules are built to bring you up to speed before the AI content starts.
This isn't a slide-deck course you sit through once and forget. Here's what makes it different.
Every trainer has 8+ years of real, hands-on AI and data experience — and they're still working on live projects outside the classroom.
You leave with a certification backed by real project work you can walk an interviewer through, not just a quiz score. It covers everything from prompt engineering to deployment, so it reads as a skill record, not a completion badge.
Resume reviews, mock interviews, and introductions to our hiring partners — support that doesn't stop the day the course ends.
A custom chatbot, an image-generation tool, a fine-tuned model for a specific task — real work for your portfolio, not toy examples.
The syllabus moves from the foundations to the exact tools Chennai's AI teams are using right now. Every module ends with something you build yourself, and your trainer reviews it before you move on.
None of these modules sit in isolation. Module 6 (RAG) uses the LangChain skills from module 5. The capstone project pulls from everything before it — prompt design, retrieval, fine-tuning, and deployment — so by the end, you're not just familiar with generative AI, you've built with it end to end.
Chennai has always had a strong IT services base — TCS, Cognizant, HCL, and dozens of smaller product companies all run engineering teams out of the city. What's changed recently is how much of that hiring now touches generative AI, even in roles that don't have "AI" in the title.
A backend developer job posting might now ask for "experience integrating LLM APIs." A data analyst role might list "familiarity with RAG-based reporting tools" as preferred. These aren't AI-specialist jobs. They're regular tech jobs that quietly started expecting AI fluency, and most candidates aren't ready for that shift yet.
That's the gap this Generative AI course in Chennai is built to close — not by chasing hype, but by teaching the specific skills showing up in real job descriptions across the city right now.
Sit in on a live class, ask your questions directly, and get an honest read on where you're starting from — no pressure to enrol on the spot.
Work through the curriculum with weekly projects. Your trainer checks each one personally before you move to the next module.
Resume prep, mock interviews, and introductions to our hiring partners start before you've even finished your capstone project.
A lot of AI courses in Chennai are taught by people who learned the material just to teach it. Ours isn't like that.
Every trainer at Cloud Data Technologies has spent 8 or more years working in AI, machine learning, and data roles before stepping into a classroom. They've shipped models to production, debugged them late at night, and explained to a client why an AI feature didn't behave the way the demo promised.
That experience shows up in how they teach. Questions get answered with "here's what actually happens when you try this" — not a definition copied off a slide.
Batches stay small on purpose. A trainer reviewing forty projects a week can't give any of them real attention, so we cap group sizes and build in one-on-one time for project feedback. It slows down how many students we take per batch. It's also the reason students finish with something they actually built, not something they copied from a tutorial.
A certification means little without a job on the other side of it. We've built relationships with hiring partners across Chennai — IT services companies, product startups, and analytics teams that need people who can actually work with generative AI, not just describe it in an interview.
We won't promise a job on day one of the course. What we will do is keep working with you, past the last class, until you're placed.
Our hiring partners span IT services companies that need AI-literate developers, product teams building on top of LLMs, and analytics groups adding generative AI to their existing work. That range matters — it means the placement team isn't trying to fit every student into one narrow job type.
"I came in with only basic Python. The pace was honest — hard when it needed to be, never rushed. I built my first RAG project in week six."
"What stood out was how the trainer explained why something failed, not just how to fix it. That's the part other courses skip."
"The placement team followed up for weeks after my batch ended. That mattered more than I expected going in."
Basic Python helps, but you don't need to be an expert. The first few weeks cover exactly what you need before the AI-specific modules start.
Both. Join live online classes if you're working full-time, or train in person at our Chennai center if you prefer face-to-face sessions.
Most students finish in 8 to 12 weeks, depending on the batch schedule and how much time you can commit each week.
Placement support means resume help, mock interviews, and introductions to our hiring partners. We don't guarantee a job — no honest course can promise that — but we stay involved until you're placed.
That's exactly who this course is built for. We start with the fundamentals and build up to advanced generative AI tools step by step.
A playlist doesn't review your code, doesn't tell you when your prompt logic is wrong, and doesn't call a hiring partner on your behalf. The trainer time and placement support are the actual product here — the videos are just a supplement.
Yes. Sessions are recorded, and you can join a later batch's version of a missed module. We'd rather you catch up properly than fall behind silently.
Seats in each batch are limited, because trainers review every project personally. Book a free demo class and decide for yourself — no pressure, no obligation.
Sit through one live class, ask the trainer anything, and see the batch schedule before you commit to a single rupee.