AI Agents Foundations (AI-AGF)

What You'll Learn

Module 1: Introduction to AI Agents (1 hour)

​

• Understanding the AI Agent Revolution

• Core Components and Architecture

• Agent Types and Use Cases

• Development Environment Setup

​

Hands-on: Creating Your First Simple Agent

 

Module 2: Foundation Frameworks (1.5 hours)

​

• LangChain Fundamentals

  • Chain of Thought Implementation

  • Memory Systems

  • Tool Integration Basics

 

• LangGraph Essentials

  • Graph-based Agent Design

  • State Management

  • Communication Flows

​

Hands-on: Building a Task-Specific Agent

 

Module 3: Advanced Agent Development (2 hours)

​

• CrewAI Deep Dive

  • Role-based Agent Teams

  • Task Planning and Execution

  • Inter-agent Communication

 

• AutoGen Mastery

  • Multi-agent Orchestration

  • Custom Agent Behaviors

  • Advanced Interaction Patterns

Hands-on: Developing a Multi-Agent System

​

Module 4: Agent Capabilities (1.5 hours)

​

• Advanced Memory Systems

  • Context Management

  • Long-term Memory Integration

 

• Tool Use and Integration

  • API Integration

  • Custom Tool Development

 

• Planning and Reasoning

  • Decision Making Algorithms

  • Goal-oriented Behavior

Hands-on: Implementing Advanced Capabilities

 

Module 5: Real-world Applications (1 hour)

​

• Industry Case Studies

  • Customer Service Agents

  • Research Assistants

  • Code Generation Agents

 

• Integration Patterns

• Performance Optimization​

​

Hands-on: Building a Production-Ready Agent

 

Module 6: Future of AI Agents (1 hour)

​

• 2025 Market Outlook

• Emerging Technologies and Trends

• Career Opportunities

• Building Your Portfolio

• Final Project: Design Your Agent System

Prerequisites

​

• Basic Python programming experience

• Familiarity with AI/ML concepts

• Understanding of REST APIs

• Basic knowledge of software development principles

​

What You'll Get

✓ 8 hours of structured content
✓ Hands-on projects with each module
✓ Real-world case studies
✓ Code templates and examples
✓ Best practices and patterns
✓ Career guidance and resources
✓ Certificate of completion

​

Tools & Frameworks Covered

• LangChain

• LangGraph

• CrewAI

• AutoGen

• Supporting libraries and tools

​

Who Should Take This Course

• Software Developers

• AI/ML Engineers

• Technical Product Managers

• Automation Specialists

• Anyone interested in AI agent development