Unit 1: Introduction to AI Agents
Unit 2: Agent Architectures
Unit 3: Types of AI Agents
AI Agents: A 7-Hour Introduction
A comprehensive introduction to AI Agents, covering their architecture, implementation, and ethical considerations, designed for adult learners with a background in deep learning and NLP.
Unit 1: Introduction to Memory in AI Agents
Unit 2: Episodic Memory Implementation
Unit 3: Semantic Memory
Unit 4: Working Memory
Unit 5: Memory Integration and Advanced Topics
Unit 1: RL Fundamentals
Unit 2: Q-Learning
Unit 3: SARSA & DQNs
Unit 1: LLMs and AI Agents: An Introduction
Unit 2: Dialogue Management with LLMs
Unit 3: Evaluating LLM-Integrated Agents
Unit 1: Introduction to Tool Use and Planning
Unit 2: Designing Agents for Tool Use
Unit 3: Planning Algorithms
Unit 4: Hybrid Reasoning
Unit 5: Evaluation and Metrics
Unit 1: Introduction to AI Agent Frameworks
Unit 2: Langchain Deep Dive
Unit 3: AutoGen Deep Dive
Unit 4: MetaGPT Deep Dive
Unit 1: Advanced Agent Architectures
Unit 2: Multi-Agent Systems (MAS) Fundamentals
Unit 3: MAS Simulation and Emergent Behavior
Unit 1: Introduction to AI Agent Ethics
Unit 2: Bias in AI Agents
Unit 3: Fairness-Aware AI Agent Design
Unit 4: Transparency and Accountability
Unit 5: Privacy and Data Governance
Unit 1: Fundamentals of AI Agent Evaluation
Unit 2: Testing Methodologies
Unit 3: Simulation and Stress Testing
Unit 4: Metrics and Interpretation
Unit 1: AI Agents in Action: Current Applications
Unit 2: Future Trends and Emerging Challenges
Unit 3: Societal Impact and Case Studies