Generative AI · Live online

Generative AI Course Online — Build LLM Applications That Survive Real Users

Calling a model API takes an afternoon to learn. Building something a company trusts takes much longer: it has to answer from the right documents, admit when it doesn't know, stay within budget and not break when the model version changes. This course teaches that part, live, from anywhere in India.

Get course details on WhatsAppTopics covered
Duration
6 months
Live online classes
336 hrs
Deployed projects
5
Total fee, paid monthly
₹34,994

Short answer: AIKranti's Generative AI training is part of a 6-month live online AI Engineer course. It covers LLM fundamentals, prompt engineering, embeddings, vector databases, retrieval-augmented generation (RAG), fine-tuning, evaluation and deployment on AWS Bedrock, after Python, ML and NLP foundations. Total fee ₹34,994, paid monthly after each month of teaching.

What the Generative AI modules cover

How LLMs actually work

Tokens, embeddings, attention and context windows, so model behaviour stops feeling like magic and starts being debuggable.

Prompting as engineering

System prompts, few-shot examples, structured JSON output, and version-controlled prompts you can test.

Embeddings & vector databases

Chunking strategies, metadata filters, hybrid keyword + semantic search, and why retrieval quality decides answer quality.

RAG end to end

Ingest private documents, retrieve, rerank, generate with citations, and handle "I don't know" gracefully.

Fine-tuning, when it's worth it

When fine-tuning beats RAG and when it doesn't, plus parameter-efficient methods on a domain dataset.

Evaluation, cost & deployment

Faithfulness and relevance metrics, regression test sets, token-cost control, and shipping on AWS Bedrock.

Who this suits

Developers adding LLM features to existing products, testers moving into AI quality, analysts who want to build rather than report, and non-tech professionals who are prepared to learn Python first. If you want a weekend overview of ChatGPT tools, this is not that course. It is engineering training.

Coming from a specific role? See the roadmaps for testers, chartered accountants or freshers.

Where Generative AI fits in the 6 months

  1. Months 1–2

    Python & software foundations

    • Python from zero (OOP, files, generators)
    • Linux, Bash & Git
    • FastAPI & REST APIs
    • Pydantic & Postman
    • 500+ graded coding exercises
  2. Month 3

    Machine learning, deep learning & NLP

    • Core ML algorithms & evaluation
    • Neural networks
    • NLP pipeline, Word2Vec
    • Transformers & attention
  3. Months 3–4

    Generative AI & LLMs

    • Prompt engineering
    • OpenAI & Hugging Face models
    • Embeddings & vector databases
    • RAG over private documents
    • Fine-tuning & evaluation
  4. Months 4–5

    Agentic AI

    • LangChain & LangGraph
    • ReAct & tool calling
    • Multi-agent systems
    • Agentic RAG
    • Model Context Protocol (MCP)
  5. Months 5–6

    MLOps, AWS & getting hired

    • Docker, Kubernetes, CI/CD
    • AWS: EC2, Lambda, S3, Bedrock, SageMaker
    • Monitoring & cost control
    • Resume, LinkedIn & GitHub portfolio
    • Weekly mock interviews

Full module-by-module breakdown: AI Engineer course syllabus.

Pay after you learn

No big upfront fee: pay after every 30 days of classes

  1. Start₹1,999
  2. Day 30₹6,999
  3. Day 60₹6,999
  4. Day 90₹6,999
  5. Day 120₹6,999
  6. Day 150₹4,999
  7. Day 180₹0
  • ₹1,999 to reserve your seat
  • No loan, EMI or interest
  • Stop at any month end

Total ₹34,994See when you pay →

Generative AI course: FAQs

What is the difference between a Generative AI course and a prompt engineering course?

A prompt engineering course teaches you to write better inputs to existing AI tools. A Generative AI engineering course teaches you to build applications around language models: retrieval, evaluation, fine-tuning, APIs and deployment. Prompting is one small module in the latter.

Can I learn Generative AI online without a coding background?

Yes, with this programme's structure. Months 1–2 teach Python from scratch and month 3 covers ML and NLP. Generative AI starts once you can actually debug what you build.

Which tools and models are covered?

OpenAI and open models via Hugging Face, LangChain, vector databases, LangSmith-style tracing and evaluation, and AWS Bedrock for deployment. The focus is on concepts that survive when specific tools change.

Is Generative AI a good career option in India?

GenAI application engineering is one of the fastest-growing technical roles in India. Candidates stand out through production experience: deployed, evaluated, cost-aware systems rather than notebook demos.

Is there a standalone short Generative AI course?

No. Generative AI is taught within the 6-month AI Engineer course, because GenAI without Python, ML and deployment skills rarely leads to a job.

Reserve a seat in the October 2026 batch

Register for ₹1,999. Every other instalment is paid only after that month has been taught.

Get course details on WhatsApp