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
₹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
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Complete GenAI & Agentic AI coverage
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RAG with FAISS, Pinecone, ChromaDB
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LangChain, LangGraph, CrewAI
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Model Context Protocol (MCP)
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MLOps foundations with cloud platforms
Detailed Syllabus
Module 1: Deep Learning Principles
- Neural networks from first principles
- Backpropagation & optimization
- Activation functions
- Regularization technique
Module 2: RNNs & Sequence Models
- 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
Module 5: Prompt Engineering & LLM Apps
- Zero-shot, few-shot prompting
- Chain-of-thought reasoning
- Multi-turn context management
- OpenAI, Azure AI, Hugging Face APIs
Module 6: Applied GenAI & Agentic Systems
- Fine-tuning open-source LLMs
- RAG pipelines (FAISS, Pinecone, ChromaDB)
- Building AI agents with LangChain
- CrewAI & AutoGen workflows
Module 7: Model Context Protocol (MCP)
- MCP fundamentals
- Agent workflow design
- State management in multi-agent systems
- Agent-to-agent (A2A) communication
Module 8: Responsible & Safe AI
- 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.
How is the GenAI content different from free resources?
We go beyond tutorials—you build production-ready systems with proper architecture, error handling, and deployment.
Do you cover the latest models and tools?
Yes! Our curriculum is continuously updated. We cover the latest in LLMs, agents, and MLOps tools.
Is job placement support included?
We provide mock interviews, resume reviews, and career guidance. Placement depends on your effort and market conditions.
Enroll Now
₹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
Interview Preparation
All learners get priority access to mock interviews and career support.