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Agentic AI - Skill Up
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This course is designed to take you from foundations to advanced applications of Agentic AI. Starting with Python basics, youll gradually explore how AI agents differ from traditional models, how they can store memory, communicate with each other, and use external tools to solve real-world problems.
Youll gain hands-on experience with vector databases, LangChain, Langraph, CrewAI, RAG systems, LlamaIndex, and workflow automation with n8n.
Course Overview
This course introduces learners to Agentic AI, a new wave of AI systems that go beyond static responses and can reason, plan, and act in dynamic environments. Youll start with Python fundamentals (to build a solid base), then dive into Agent Architectures, Vector Databases, LangChain, CrewAI, RAG systems, LlamaIndex, and automation tools like n8n. By the end, youll be able to design, build, and deploy your own Agentic AI applications.
Highlights
- Beginner-friendly start with Python basics.
- Hands-on experience with Vector Databases, MCP, LangChain, and Langraph.
- Deep dive into CrewAI for multi-agent workflows.
- Learn Retrieval-Augmented Generation (RAG) and LlamaIndex integration.
- Final projects to deploy real-world agentic systems with modern tools.
Course Content
- Installation, Input/Output in Python
- Variables, Keywords, Data Types
- Operators & Conditional Statements
- Loops and Functions
- Strings, Lists, Dictionaries, Tuples, Sets
- Collections, Comprehensions, OOP Concepts
- Exception Handling, Generators, Decorators, Context Managers
- Introduction to NumPy & Pandas
- What is Agentic AI? (Definitions, Agent vs Classic AI Models)
- Types of Agents
- Agentic AI vs Traditional AI
- Agentic AI Architectures
- Using Hugging Face, Ollama, and LM Studio locally
- Embeddings & Vector Databases (Chroma, FAISS, Qdrant)
- Building a Simple Rule-Based Agent
- Model Context Protocol (MCP)
- MCP for Agent Memory & Context Sharing
- Context-Sharing Agent System using MCP
- Simple Chatbot using Vector Embeddings
- Introduction to LangChain
- LangChain Architecture & Workflows
- Introduction to Langraph
- Introduction to CrewAI & Parameters
- CrewAI Tools, Collaboration & Memory
- CrewAI Knowledge, Process & Planning
- CrewAI CLI & AgentOps
- CrewAI Flows
- CrewAI Training & Testing
- Project: Build an Agent System with CrewAI
Pricing