Agentic AI Certification Program
Generative AI has moved from chatbots to autonomous agents that plan, use tools and get work done. This program is built around the frameworks and patterns real AI-employee and agent products are shipping with today.
You'll go from LLM fundamentals to building and deploying a genuinely autonomous agent — one that can retrieve knowledge, call tools, collaborate with other agents, and hand off to a human when it should.
What You’ll Learn?
Design and deploy autonomous AI agents using LangChain, LangGraph and CrewAI- Build RAG pipelines with vector databases (pgvector, Pinecone) and embeddings
- Master prompt engineering, function/tool calling and multi-agent orchestration
- Ship a capstone AI agent product end-to-end, including monitoring and cost control
Full Curriculum
AI & ML Foundations
- Python for AI, Linear Algebra & Probability Essentials
- Intro to Machine Learning & Deep Learning
LLM Fundamentals
- Transformer Architecture & Tokenization Basics
- Prompt Engineering, Context Windows & Evaluation
Retrieval-Augmented Generation
- Embeddings, Chunking Strategies & Vector Databases
- Building Production RAG Pipelines
Agent Frameworks
- LangChain, LangGraph, CrewAI & AutoGen
- Tool Calling, Function Calling & Structured Outputs
Multi-Agent Systems
- Agent Orchestration, Memory & Planning
- Human-in-the-Loop Workflows & Collaboration Requests
Model Deployment & MLOps
- Fine-Tuning Basics & Provider-Agnostic LLM APIs
- Cost/Latency Optimization & Monitoring
Capstone: Build an Autonomous AI Agent
- End-to-End Agent Product with Knowledge Vault & Skills
- Deployment, Guardrails & Usage Metering
Career Services & Placement Support
- Portfolio & GitHub Review, Resume & LinkedIn
- Mock Interviews & Placement Assistance
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