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Track A
Technical
16 weeks

Applied AI with Python, Generative AI & Agentic Systems

Master deep learning, LLMs, RAG pipelines, and build autonomous AI agents

  • 96 hours (6 hrs/week)
  • Software engineers, data scientists, technical leads
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Download Syllabus

₹1,50,000

Course Fee

16 weeks

Duration

9

Modules

Live

Instructor-Led

What You'll Be Able to Do

  • Build and train deep learning models from scratch
  • Work with Transformers, BERT, and GPT architectures
  • Design and implement RAG pipelines with vector databases
  • Create AI agents using LangChain and LangGraph
  • Deploy ML models with MLOps best practices

Course Highlights

  • Complete GenAI & Agentic AI coverage
  • RAG with FAISS, Pinecone, ChromaDB
  • LangChain, LangGraph, CrewAI
  • Model Context Protocol (MCP)
  • MLOps foundations with cloud platforms

Detailed Syllabus

  • Neural networks from first principles
  • Backpropagation & optimization
  • Activation functions
  • Regularization technique
  • RNNs, LSTMs, GRUs
  • Time series processing
  • Text processing pipelines
  • Sequence-to-sequence models
  • Attention mechanisms
  • BERT architecture deep dive
  • GPT models & fine-tuning
  • Tokenization & embeddings
  • Autoencoders & VAEs
  • GAN fundamentals
  • Diffusion models overview
  • Intro to Large Language Models
  • Zero-shot, few-shot prompting
  • Chain-of-thought reasoning
  • Multi-turn context management
  • OpenAI, Azure AI, Hugging Face APIs
  • Fine-tuning open-source LLMs
  • RAG pipelines (FAISS, Pinecone, ChromaDB)
  • Building AI agents with LangChain
  • CrewAI & AutoGen workflows
  • MCP fundamentals
  • Agent workflow design
  • State management in multi-agent systems
  • Agent-to-agent (A2A) communication
  • Bias detection & mitigation
  • Hallucination handling
  • Privacy considerations
  • Human-in-the-loop systems
  • AWS SageMaker, Azure ML, GCP Vertex
  • MLflow & DVC for versioning
  • Airflow orchestration
  • Docker, Kubernetes basics

Tools & Technologies

TensorFlow
PyTorch
Hugging Face
LangChain
LangGraph
OpenAI API
FAISS
Pinecone
AWS/Azure/GCP
Docker

Capstone Project

AI Assistant or Autonomous Agent

Build a fully functional AI Assistant or Autonomous Agent using generative AI + RAG + MCP + automation. Examples: enterprise document chatbot, productivity assistant for notes & tasks.

Frequently Asked Questions

Python proficiency and basic ML understanding (our Python & ML Foundations level). If unsure, talk to our advisors.

We go beyond tutorials—you build production-ready systems with proper architecture, error handling, and deployment.

Yes! Our curriculum is continuously updated. We cover the latest in LLMs, agents, and MLOps tools.

We provide mock interviews, resume reviews, and career guidance. Placement depends on your effort and market conditions.

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₹1,50,000

EMI options available

What's Included

  • Live instructor-led sessions (weekend batch)
  • Hands-on labs with industry dataset
  • LMS access with lifetime materials
  • Capstone project with mentorship
  • Certificate of completion
  • Mock interview sessions
  • 1:1 mentorship option
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Interview Preparation

All learners get priority access to mock interviews and career support.

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