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Duration 14 hours
Course Outline
Introduction
- Distinguishing between workflows and autonomous agents
- Architectural overview and common application scenarios
Claude API Essentials
- Exploring the Messages API, available models, and key parameters
- Implementing system prompts and structured output formats
- Managing streaming responses and error handling
- Practical Lab: Initial API integration exercise
Tool Integration
- Defining tool specifications and schemas
- Understanding the tool-use loop and implementing error recovery mechanisms
- Practical Lab: Creating an agent that interacts with corporate APIs
MCP and Agent Skills
- Overview of MCP servers and client interactions
- Leveraging existing servers and developing a basic custom server
- Utilizing Agent Skills to encapsulate reusable expertise
- Practical Lab: Linking an agent to an external data source
Claude Agent SDK
- Mastering the agent loop, session management, and context control
- Configuring permissions, hooks, and subagent structures
- Practical Lab: Constructing an agent capable of research and reporting
Cost, Quality, and Security
- Implementing prompt caching and managing token budgets
- Establishing guardrails and human-in-the-loop approval steps
- Conducting evaluations using a focused test set
- Setting up comprehensive logging and monitoring systems
Transitioning to Production
- Exploring deployment strategies and secure secrets management
- Addressing maintenance requirements and version control
- Developing a roadmap for participants' specific use cases
Requirements
- Programming proficiency in either Python or TypeScript
- Practical experience with REST APIs and JSON data handling
- A foundational understanding of large language models
Target Audience
- Software developers and data engineers integrating AI capabilities into products and internal tools
- Solution architects assessing agent-based architectures
- Technical teams aiming to transition from prototyping to production-ready solutions
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
