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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.

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Trending4.8(80+)

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+

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8 Weeks

Duration

8 Weeks

Duration

Live Online / Hybrid

Mode

Hands-on Projects

& Labs

Certificate

Provided

What's included

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
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Generative AI training
Featured Track
Curriculum

What You'll Learn

A structured path from AI fundamentals to production-ready applications.

01

Foundation

Core 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

Practice

Hands-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-world

Capstone 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 Areas

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
Where AI meets security

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
SOCLabs AI security platform
Eligibility

Who Can Join?

Designed for anyone serious about building a career in AI engineering.

Popular

BCA Students

Start an AI engineering career

BSc / B.E / B.Tech

Add AI skills to your degree

Popular

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

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