AI & Generative AI (incl. Prompt Engineering)
Master modern AI — LLMs, prompt engineering, RAG, and multi-agent systems — and build real GenAI applications.
Who This Course Is For
- Developers/data professionals wanting GenAI specialization
- Product/business professionals wanting to build with AI tools
- Freshers with Python basics targeting AI Engineer roles
Prerequisites
- Basic Python knowledge
- No prior AI/ML experience required
Full Curriculum
7 modules · 80 hours of live instruction
1AI & LLM Foundations~8 hrs
- How large language models work (conceptually)
- Tokens, context windows, and limitations
- Overview of major model providers/APIs
2Prompt Engineering~12 hrs
- Zero-shot, few-shot, and chain-of-thought prompting
- Structured output and function calling
- Evaluating and iterating on prompts
3Working with LLM APIs~10 hrs
- Calling LLM APIs programmatically
- Handling streaming responses
- Cost and latency optimization
4Retrieval-Augmented Generation (RAG)~16 hrs
- Embeddings and vector databases
- Building a RAG pipeline end-to-end
- Chunking and retrieval quality tuning
5AI Agents & Orchestration~14 hrs
- LangChain/LangGraph fundamentals
- Tool use and multi-step agents
- Multi-agent system design patterns
6Responsible & Applied AI~6 hrs
- Hallucination, bias, and safety considerations
- Data privacy in AI applications
- Choosing the right model for a use case
7Capstone Projects~14 hrs
- RAG-based knowledge assistant
- AI agent automating a business workflow
- Portfolio and interview preparation
Tools & Technologies Covered
Hands-On Projects
RAG-Based Document Assistant
Question-answering app that retrieves from a private document set and generates grounded answers.
Multi-Agent Research Workflow
Agents that plan, research, and summarize a topic collaboratively using LangGraph.
AI Customer Support Bot
Prompt-engineered support assistant with function calling to look up order/ticket data.
What You'll Be Able to Do
Frequently Asked Questions
Do I need a machine learning background for this course?
No — this course is designed to be accessible with just basic Python; it focuses on building with existing LLMs rather than training models from scratch.
Which LLM providers does the course use?
We work with widely available commercial and open APIs so skills transfer regardless of which provider you use on the job.
What is the batch schedule?
Weekday batches run 7-9 PM IST; weekend batches run Saturday-Sunday 10 AM-1 PM IST, recorded for lifetime access.
Is this different from the Machine Learning course?
Yes — Machine Learning covers classical algorithms and deep learning from the ground up; this course focuses specifically on building applications on top of existing large language models.
Is placement support included?
Yes — resume building, mock interviews, and referrals to our hiring partner network are included.
Is Generative AI hiring really growing in India?
Yes — GenAI-related hiring has been one of the fastest-growing segments in Indian IT/product hiring, per NASSCOM and Naukri JobSpeak industry reports.
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Ready to Start AI & Generative AI (incl. Prompt Engineering)?
Next batch enrolling now — live online, with placement support included.