AI Agents

Master the development of autonomous AI Agents that can reason, plan, and take actions using frameworks like LangChain, AutoGPT, and BabyAGI.

Course Details

Course Highlights

Comprehensive Agent Development

From basic agents to complex autonomous systems with memory and tools.

Hands-on Projects

Build agents for real-world applications like research, customer service, and automation.

Industry Frameworks

Master LangChain, AutoGPT, BabyAGI, and other cutting-edge tools.

Capstone Project

Develop and deploy a fully functional AI Agent with specific capabilities.

Learning Outcomes

By the end of this course, you will be able to:

  • Design and implement autonomous AI Agents
  • Integrate agents with tools and APIs
  • Implement memory and context management
  • Develop multi-agent systems
  • Evaluate agent performance
  • Deploy agents in production environments

Course Curriculum

Module 1: Foundations of AI Agents
  • Introduction to Agentic AI
  • Agent Architectures
  • ReAct Framework
  • Planning and Reasoning
  • Evaluation Metrics
Module 2: Building Basic Agents
  • LangChain Fundamentals
  • Tools and Toolkits
  • Memory Systems
  • Chaining Operations
  • Simple Task Automation
Module 3: Advanced Agent Architectures
  • AutoGPT Systems
  • BabyAGI Implementations
  • Hierarchical Agents
  • Multi-Agent Systems
  • Agent Communication
Module 4: Specialized Agents
  • Research Agents
  • Customer Service Agents
  • Coding Assistants
  • Data Analysis Agents
  • Creative Agents
Module 5: Deployment & Optimization
  • Performance Optimization
  • Cost Management
  • Monitoring and Logging
  • Security Considerations
  • Ethical Implications

Who Should Attend?

AI Developers

Builders creating autonomous systems and agentic workflows.

Product Managers

Leaders implementing AI Agents in products and services.

Researchers

Those exploring autonomous agent capabilities and limitations.

Automation Specialists

Professionals building intelligent automation solutions.