Course curriculum

    1. Segment 00: Welcome to the Course: Course Overview

    2. Segment 01: Introduction to the Course & Meet Your Instructor

    3. Segment 02: Fundamentals of AI Agent Architecture

    4. Segment 03: Architecting Your AI Agent's Blueprint

    5. Segment 04: Designing Your Agent's Decision-Making Core

    6. Segment 05: Mapping Your Agent's Interaction Flow

    7. Segment 06: Hands-On-Learning: Designing Your Own AI Agent Architecture

    8. Segment 07: Structuring Your Agent's Knowledge Base

    9. Segment 08: AI Agent Architectures: From Theory to Practice

    1. Segment 09: Constructing Your AI Development Lab

    2. Segment 10: Integrating AI Frameworks and Libraries

    3. Segment 11: Implementing Your Agent with LangChain/AutoGen

    4. Segment 12: Coding Core Agent Functionalities

    5. Segment 13: Hands-On-Learning: Implementing Core AI Agent Functionalities

    6. Segment 14: Reading - Best Practices in AI Development Environments and Framework Selection

    1. Segment 15: Evaluating Your AI Agent's Performance

    2. Segment 16: Enhancing Your Agent with Memory Capabilities

    3. Segment 17: Optimizing Your Agent with Advanced Tools

    4. Segment 18: Reading - Cutting-Edge Techniques in AI Agent Optimization

    5. Segment 19: Hands-On-Learning: Optimizing and Evaluating Your AI Research Assistant

    6. Segment 20: Project: GenAI-Empowered Personal Assistant Development: Quick-Fire Simulation Practice Assignment

    7. Segment 21: Quiz: Implementation of GenAI Agents

About this course

  • Free
  • 22 lessons
  • 1 hour of video content

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