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Duration 14 hours
Course Outline
Introduction
- Differentiating between workflows and autonomous agents
- Architectural overview and common use cases
Claude API Basics
- Overview of the Messages API, available models, and key parameters
- Crafting system prompts and defining structured outputs
- Implementing streaming and robust error handling
- Lab: Implementing the initial API integration
Tool Utilization
- Specifying tools and their corresponding schemas
- Understanding the tool-use loop and mechanisms for error recovery
- Lab: Creating an agent that interacts with internal company APIs
MCP and Agent Skills
- Role of MCP servers and clients in the ecosystem
- Integrating existing MCP servers and developing a custom one
- Leveraging Agent Skills to encapsulate reusable expertise
- Lab: Connecting an agent to an external data source
Claude Agent SDK
- Managing the agent loop, sessions, and context
- Configuring permissions, hooks, and subagents
- Lab: Developing a research and reporting agent
Cost, Quality, and Safety
- Optimizing performance with prompt caching and token budgeting
- Implementing guardrails and human approval workflows
- Conducting evaluations using a curated test set
- Setting up logging and continuous monitoring
Transitioning to Production
- Deployment strategies and secure handling of secrets
- Strategies for maintenance and version control
- Developing a roadmap for participants' specific use cases
Requirements
- Programming proficiency in Python or TypeScript
- Experience with REST API calls and JSON data handling
- A foundational understanding of large language models
Target Audience
- Software developers and data engineers integrating AI features into products and internal tools
- Solution architects assessing agent-based architectures
- Technical teams seeking to transition projects from prototype to production
Testimonials (3)
The trainer is patient and very helpful. He knows the topic well.
CLIFFORD TABARES - Universal Leaf Philippines, Inc.
Course - Agentic AI for Business Automation: Use Cases & Integration
Good mixvof knowledge and practice
Ion Mironescu - Facultatea S.A.I.A.P.M.
Course - Agentic AI for Enterprise Applications
The mix of theory and practice and of high level and low level perspectives
