Generative AI & Agentic AI Internship
Learn how Large Language Models, RAG and AI agents are being used to build intelligent applications and automate business processes.

Generative AI & Agentic AI
8 weeks · Live Online / Hybrid · Hands-on Projects
Price
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350+
Learners Trained
4.8
Avg. Rating
80+
Verified Reviews
8 Weeks
Duration
8 Weeks
Duration
Live Online / Hybrid
Mode
Hands-on Projects
& Labs
Certificate
Provided
Turn ideas into intelligent applications
A structured path from Python fundamentals to production-grade AI applications — with real LLMs, RAG pipelines, and agentic workflows.
- Live instructor-led sessions
- Real LLM API integrations
- RAG pipeline hands-on build
- AI agent workflows
- Capstone AI application
- Internship completion certificate

What You'll Learn
A structured path from AI fundamentals to production-ready applications.
01
FoundationCore Topics
- Python fundamentals
- AI & ML learning basics
- Generative AI concepts
- Large Language Models (LLMs)
- Prompt engineering
- AI pipelines
- Embeddings & vector databases
- RAG (Retrieval-Augmented Generation)
- AI agents & tool calling
- Automation & workflows
- Ethics & safety of AI
- Deploying AI applications
02
PracticeHands-on Labs
- Python AI projects
- LLM API integrations
- Prompt engineering labs
- RAG pipeline build
- AI agent workflows
- ChromaDB / vector DB setup
- Fine-tuning experiments
- LLM evaluation & testing
03
Real-worldCapstone Project
- Build & deploy a complete AI application
- Design a RAG system over real data
- Implement AI agents with tools
- Integrate with external APIs & services
- Evaluate quality, cost & latency
- Documentation & demo video
- Production-ready architecture
Key Learning Areas
Master the stack used by real AI engineering teams today.
What You'll Master
- Python, APIs & async workflows
- OpenAI, Anthropic & open-source LLMs
- LangChain & LlamaIndex
- Vector databases (Chroma, Pinecone)
- Retrieval-Augmented Generation
- Agentic frameworks (LangGraph, CrewAI)
- Deployment, cost & evaluation
Real-World Scenarios
- Customer support chatbot
- Document Q&A over your own data
- Resume & JD matching
- Content generation workflow
- Data extraction from PDFs
- Code generation assistant
- Multilingual summarisation
Explore our AI for Cybersecurity track
Learn how AI is being applied to threat detection, log analysis, and security automation. Ideal for those who want to specialise in the intersection of AI and cybersecurity.
Explore Track
Who Can Join?
Designed for anyone serious about building a career in AI engineering.
BCA Students
Start an AI engineering career
BSc / B.E / B.Tech
Add AI skills to your degree
MCA Students
Specialize in applied AI
Recent Graduates
Build an AI-ready portfolio
Take the next step
Turn Ideas into Intelligent Applications
Learn, build and ship with Generative AI. From fundamentals to a complete capstone application.
350+
Learners
4.8
Rating
8 Weeks
Duration