Build AI Agents with Memory - Complete Guide

Übersicht

Unlock the power of AI agents with memory in this hands-on course designed for developers and AI enthusiasts!

Lehrplan

• Introduction to AI Agents with Memory
Overview of AI Agents
Importance and Applications of Memory in AI
• Basics of Memory in AI
Types of Memory Systems
Short-term vs Long-term Memory in AI
• Understanding Reinforcement Learning
Basics of Reinforcement Learning
Incorporating Memory in RL Models
• Memory-Augmented Neural Networks
Introduction to Memory-Augmented Networks
Differentiable Neural Computers
Neural Turing Machines
• Implementing Memory Models
Setting Up Your Development Environment
Libraries and Tools for Building Memory-Enhanced AI
• Designing AI Agents with Episodic Memory
Fundamentals of Episodic Memory
Building Models with Episodic Memory Applications
• Building a Memory-Enhanced Chatbot
Designing Dialog Systems with Memory
Implementing Contextual Understanding
• AI Agents with Semantic Memory
Overview of Semantic Memory Techniques
Knowledge Representation and Retrieval
• Advanced Long-term Memory Networks
Hierarchical Memory Systems
Memory Consolidation Techniques
• Case Studies and Applications
Real-world Applications of Memory-Enhanced AI
Case Studies of Successful AI Implementations
• Hands-on Projects
Project 1: Creating an AI with Short-term Memory
Project 2: Implementing Long-term Memory in AI Agents
Project 3: Developing a Memory-Enhanced Decision Making System
• Future Trends in AI Memory
Innovations in Memory Architectures
Research Directions and Opportunities
• Course Review and Conclusion
Recap of Key Learnings
Evaluating AI Agent Performance with Memory

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Unterrichtet von

Paulo Dichone | Software Engineer, AWS Cloud Practitioner & Instructor

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Fachgebiete

Computer Science