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Duration 14 hours
Course Outline
Introduction
- Distinguishing between workflows and agents
- Overview of architecture and common use cases
Claude API Basics
- Exploring the Messages API, available models, and parameters
- Implementing system prompts and structured outputs
- Handling streaming responses and errors
- Lab: Initial API integration
Tool Utilization
- Specifying tools and defining schemas
- Managing the tool-use loop and error recovery mechanisms
- Lab: Creating an agent that interacts with internal company APIs
MCP and Agent Skills
- Understanding MCP servers and clients
- Leveraging existing servers and developing a simple custom server
- Implementing Agent Skills for reusable expertise
- Lab: Linking an agent to an external data source
Claude Agent SDK
- Managing the agent loop, sessions, and context
- Configuring permissions, hooks, and sub-agents
- Lab: Constructing a research and reporting agent
Cost, Quality, and Safety
- Implementing prompt caching and managing token budgets
- Establishing guardrails and human approval workflows
- Running evaluations using a small test set
- Setting up logging and monitoring systems
Transitioning from Prototype to Production
- Reviewing deployment options and managing secrets securely
- Managing maintenance and version control
- Creating a roadmap for the participant's specific use case
Requirements
- Programming proficiency in either Python or TypeScript
- Experience with REST API calls and JSON data handling
- Familiarity with the fundamentals of large language models
Target Audience
- Software developers and data engineers integrating AI features into products or internal tools
- Solution architects assessing various agent architectures
- Technical teams aiming to transition from prototype stages 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
