Live Online · Weekend Batches · Batch Size 10
Generative AI Course — Build With LLMs, Not Just Learn About Them
A live generative AI course for people who want to ship GenAI applications: GPT-5, Claude and Gemini APIs, prompt engineering, RAG with vector databases, LangChain, LoRA fine-tuning, and real production deployment. ₹35,000 with 100% placement support. Next batch: July 12, 2026.
₹12–40 LPA
GenAI engineer salary range in India (by experience)
4 projects
Deployed GenAI apps on your GitHub portfolio
16 weeks
Weekend live program for working professionals
10 students
Maximum batch size — direct instructor time
Why a dedicated generative AI course in 2026?
Most AI hiring in 2026 is not for training models from scratch — it is for engineers who can build reliable applications on top of foundation models: retrieval systems that do not hallucinate, LLM apps with proper tool calling, fine-tuned domain models, and deployments that manage cost and latency. That is exactly what this generative AI training teaches, hands-on.
New to the topic? Start with our free explainer What is Generative AI? — then come back here for the practitioner track. If you want the complete AI engineer path including ML, deep learning and computer vision, see the full AI Course.
Generative AI course syllabus — 8 modules
MODULE 1
Python & ML Foundations for GenAI
The practical Python, APIs, and ML concepts you actually need before touching LLMs — no unnecessary theory.
MODULE 2
How LLMs Work — GPT-5, Claude, Gemini
Transformers, tokens, context windows, model strengths and pricing — how to choose the right model for a task.
MODULE 3
Prompt Engineering
Structured prompting, few-shot examples, chain-of-thought, evaluation — techniques that survive model updates.
MODULE 4
RAG & Vector Databases
Build document Q&A systems: embeddings, chunking strategies, retrieval, and grounding to reduce hallucination.
MODULE 5
LLM Apps with LangChain
Chains, memory, tool calling, structured output — build real applications, not notebook demos.
MODULE 6
Fine-Tuning with LoRA
When (and when not) to fine-tune; adapt open-source models to your domain on affordable hardware.
MODULE 7
Intro to AI Agents
What agents add beyond chat — tool use and multi-step workflows. (Want to go deeper? See the dedicated Agentic AI course.)
MODULE 8
Deploy GenAI to Production
FastAPI services, Docker containers, AWS deployment, cost and latency management — the part interviews test hardest.
Want to specialise further in autonomous agents (LangGraph, CrewAI, multi-agent systems)? See the Agentic AI Course.
Generative AI course fees — honest and transparent
₹35,000complete program
- ✓ 16 weeks of live weekend classes (not recorded lectures)
- ✓ 4 deployed GenAI projects for your portfolio
- ✓ Lifetime access to session recordings
- ✓ 100% placement support — resume, mock interviews, referrals
- ✓ 1-week money-back guarantee
- ✓ Early-bird price ₹32,000 for advance registration
Compare: GenAI/AI programs at upGrad, Simplilearn, and Great Learning run ₹1.5–4.25 lakh. See the full AI course fees comparison.
Generative AI course — questions answered
What is covered in this generative AI course?+
The generative AI course covers how large language models work (GPT-5, Claude, Gemini), prompt engineering, Retrieval-Augmented Generation (RAG) with vector databases, building LLM applications with LangChain, fine-tuning open models with LoRA, an introduction to AI agents, and deploying GenAI applications to production with FastAPI, Docker, and AWS.
What is the generative AI course fee?+
The course fee is ₹35,000 for the complete live program — 16 weeks, weekend live classes, hands-on GenAI projects, lifetime access to recordings, and placement support. An early-bird price of ₹32,000 is available for advance registrations. There is a 1-week money-back guarantee.
Do I need machine learning experience to learn generative AI?+
No. The program starts with Python and the ML foundations you actually need, then moves into LLMs and GenAI application building. Most GenAI engineering work in 2026 is about using and adapting foundation models well — not training models from scratch — so application skills matter more than deep ML theory.
Is generative AI a good career in India in 2026?+
Yes — GenAI roles (GenAI engineer, LLM engineer, AI application developer) are among the fastest-growing and highest-paying in Indian tech, with typical packages of ₹12–40 LPA depending on experience. Companies across BFSI, e-commerce, healthcare, and IT services are actively building GenAI products and hiring for these skills.
Does this generative AI course include placement support?+
Yes — 100% placement support is included: resume and LinkedIn optimisation, portfolio review of your deployed GenAI projects, mock interviews, and referrals to hiring partners. Average packages for our placed students are ₹15–25 LPA. We provide dedicated placement assistance, not a vague "guarantee".
What projects will I build in this GenAI course?+
You build deployable projects: a RAG-based document Q&A system with a vector database, an LLM-powered application built with LangChain, a fine-tuned open-source model using LoRA, and a production-deployed GenAI app (FastAPI + Docker + AWS). Each one goes on your GitHub portfolio as proof of skill.
Generative AI course vs a general AI course — which should I take?+
If you want the complete AI engineer path (ML, deep learning, NLP, computer vision AND GenAI), take the full AI course. If your goal is specifically to build with LLMs — RAG systems, GenAI apps, fine-tuning — this generative AI track is the focused route. Both are live programs at ₹35,000 with placement support.
Is this generative AI training online or classroom?+
100% live online — weekend batches designed for working professionals, with recordings available for life. You interact directly with the instructor in small batches capped at 10 students.
Which tools and models does the course use?+
You work with the current 2026 stack: GPT-5 (OpenAI), Claude (Anthropic), and Gemini (Google) via APIs; LangChain for application development; vector databases for RAG; Hugging Face and LoRA for fine-tuning open models; and FastAPI, Docker, and AWS for deployment.
When does the next generative AI batch start?+
The next batch starts July 12, 2026. Batches are capped at 10 students. Book a free counselling call to check seat availability and discuss whether the GenAI track fits your background.
Free GenAI learning resources
Pre-Register Now & Save ₹3,000!
Limited Seats — Next Batch July 12, 2026
Join 100+ students already on the learning journey