Course curriculum

  • 1

    Module 1 : AI Agents - Introduction

    • Definition of AI Agents

    • Importance of AI Agents in Modern AI

    • Real-World Applications

    • How AI Agents Work

    • Types of Environments for AI Agents

    • Evolution of AI Agents
  • 2

    Module 2 : Agentic AI Paradigm

    • Introduction to the Agentic AI Paradigm

    • Key Characteristics of Agentic AI

    • Core Components of Agentic AI Systems

    • Comparison with Other AI Paradigms

    • Architectures and Frameworks in Agentic AI

    • Challenges in Developing Agentic AI Systems

    • Economic Impact
  • 3

    Module 3 : Agent Capabilities

    • Perception and Recognition Capibility

    • Decision-Making and Problem Solving Capibility

    • Learning and Adaptation Capibility

    • Action and Interaction Capibility

    • Multimodal Functionality in AI Agents

    • Tools and Frameworks for AI Agents

    • Data Processing Capabilities

    • Retrieval-Augmented Generation (RAGs)

    • Database Integration for AI Agents (Examples: Supabase, Firebase, MongoDB, and PostgreSQL)

    • Advanced Agent Capabilities (Adaptive and Self-Learning Agents, Collaboration in Multi-Agent Systems (MAS), Long-Term Memory and Context Awareness)
  • 4

    Module 4 : Automation and Workflow Optimization

    • Introduction to AI Automation and Workflow Optimization

    • Core Components of AI-Driven Workflow Optimization

    • Types of Workflows Optimized by AI Agents and use case applications

    • Automation Techniques Leveraged by AI Agents

    • Tools and Platforms for AI Workflow Automation (e.g., Zapier, UiPath, Blue Prism, n8n, Langgraph, pydantic)

    • Advanced Capabilities in AI Automation (Dynamic Task Scheduling and Context-Aware Automation, Proactive Agents, Adaptive Workflows)
  • 5

    Module 5 : Frameworks

    • Introduction

    • HuggingFace

    • Ollama+DeepSeekV3

    • AutoGen

    • LangChain

    • CrewAI

    • LangGraph

    • Pydantic AI

    • Comparison of frameworks
  • 6

    Module 6 : Post Deployment

    • Monitoring, Evaluation, and Debugging

    • AgentBench

    • AgentOps

    • LangSmith

    • Langfuse

    • Logfire in Pydantic AI

    • Metrics

    • Monitoring Demo
  • 7

    Module 7 : AI Agents Security

    • Introduction to AI Agents Security

    • Vulnerabilities & Mitigation

    • Guardrails

    • Tools
  • 8

    Module 8 : Ethical Design of AI Agents

    • Ethical Design of AI Agents

    • Addressing Challenges
  • 9

    Module 9 : Technology Stack

    • Technology Stack for Building Agentic AI Systems & Architecture
  • 10

    Capstone Project

    • Smart Supply Chain Management System

  • 11

    Study Material

    • Study Material