AI Agent Development for Expert Programmers
Master the art of building, deploying, and optimizing AI agents using cutting-edge techniques and best practices.
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Fundamentals of AI Agents and Architectures
Unit 1: AI Agent Foundations
What is an AI Agent?
Agent Components
Agent Environments
Rationality
Agent Architectures
Unit 2: Advanced Architectures
Transformers 101
Memory Networks
RAG Architecture
RAG vs Fine-tuning
Hybrid Architectures
Unit 3: Architecture Selection
Problem Domain Analysis
Task Decomposition
Trade-off Analysis
Metrics for Evaluation
Iterative Refinement
Building and Integrating AI Agents
Unit 1: Agent Design and Implementation
Agent Design Principles
Selecting Agent Types
Coding Agent Logic
Handling Agent State
Testing Agent Behavior
Unit 2: Integrating with Environments
API Integration Basics
Environment Interaction
Data Transformation
Error Handling
Rate Limiting
Unit 3: Custom Tools and Environments
Defining Tool Requirements
Building Custom Tools
Environment Design
Simulation Frameworks
Toolchain Integration
Training and Optimization Techniques
Unit 1: Reinforcement Learning Fundamentals
RL Intro: Key Concepts
Markov Decision Process
Value Functions
Policy Iteration
Value Iteration
Unit 2: Deep Reinforcement Learning
Deep RL Introduction
Q-Learning
Policy Gradients
Actor-Critic Methods
Proximal Policy Opt.
Unit 3: Optimization for Production
Profiling and Bottlenecks
Latency Optimization
Throughput Optimization
Resource Management
Hardware Acceleration
Unit 4: Data Collection and Labeling
Data Collection Strat.
Labeling Techniques
Active Learning
Synthetic Data
Data Augmentation
Deployment, Security, and Ethical Considerations
Unit 1: Error Handling, Logging, and Monitoring
Deployment Checklist
Robust Error Handling
Effective Logging
Monitoring Metrics
Monitoring Tools
Unit 2: Security Best Practices
Input Sanitization
Secure API Keys
Data Poisoning
Access Control
Secure Communication
Unit 3: Ethical Considerations and Fairness
Bias Detection
Fairness Metrics
Transparency
Accountability
Ethical Frameworks
Unit 4: Evaluation and Benchmarking
Performance Metrics
Testing Methodologies
Benchmark Datasets
Human Evaluation
Reporting Results