Mastering the Agent SDK

Übersicht

Master Python and TypeScript SDKs to build production AI agents using Claude, covering custom tools, safety hooks, deployment workflows, and GitHub Actions integration.

Lehrplan

• Introduction to SDKs
Overview of Software Development Kits (SDKs)
Importance of SDKs in AI Development
• Python SDK
Setting Up the Python SDK Environment
Core Concepts and Components
Building AI Agents with Python SDK
Implementing Custom Tools in Python
Managing Resources and Dependencies
• TypeScript SDK
Introduction to JavaScript and TypeScript
Setting Up the TypeScript SDK Environment
Core Concepts and Components
Building AI Agents with TypeScript SDK
Implementing Custom Tools in TypeScript
Managing Resources and Dependencies
• Custom Tools
Identifying Necessary Custom Tools for AI Agents
Designing and Building Custom Tools
Integrating Custom Tools into AI Agents
• Safety Hooks
Understanding the Importance of Safety in AI
Implementing Safety Hooks in AI Agents
Monitoring and Managing Safety Concerns
• Deployment Workflows
Building an Efficient Deployment Pipeline
Best Practices for Deploying AI Agents
Continuous Integration and Continuous Deployment (CI/CD) Concepts
• GitHub Actions Integration
Introduction to GitHub Actions
Setting Up Automated Workflows with GitHub Actions
Integrating Deployment Pipelines with GitHub Actions
Monitoring AI Agents Post-Deployment
• Course Project
Instructions for the Capstone Project
Guidelines for Building a Production-Grade AI Agent
Presentations and Feedback Sessions
• Conclusion
Recap of Key Concepts
Future Directions in AI Agent Development
Resources for Continued Learning

---

Fachgebiete

Artificial Intelligence