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Duration 14 hours
Course Outline
Introduction
- Distinctions between workflows and agents
- Architectural overview and common application scenarios
Claude API Essentials
- Details on the Messages API, available models, and parameters
- Crafting system prompts and defining structured outputs
- Implementing streaming and robust error handling
- Lab: Initial API integration
Tool Integration
- Specifying tools and their schemas
- Understanding the tool-use loop and error recovery mechanisms
- Lab: Creating an agent that interacts with internal company APIs
MCP and Agent Skills
- Overview of MCP servers and clients
- Leveraging existing servers and developing a basic custom server
- Implementing Agent Skills for reusable specialized knowledge
- Lab: Connecting an agent to a specific 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 with prompt caching and managing token budgets
- Implementing guardrails and human-in-the-loop approval steps
- Conducting evaluations using a small, focused test set
- Setting up logging and monitoring systems
Transitioning to Production
- Deployment strategies and secure secrets management
- Best practices for maintenance and version control
- Creating a roadmap for participants' specific use cases
Requirements
- Proficiency in programming with Python or TypeScript
- Experience with REST API calls and JSON data handling
- A foundational grasp of large language models
Intended Audience
- Software developers and data engineers integrating AI features into products and internal tools
- Solution architects assessing agent-based architectures
- Technical teams looking to transition from prototypes to production environments
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
