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Duration 14 hours
Course Outline
Introduction
- Distinguishing between workflows and agents
- High-level architecture overview and common use cases
Claude API Fundamentals
- The Messages API, available models, and key parameters
- Crafting system prompts and managing structured output
- Handling streaming responses and errors
- Lab: Integrating the API for the first time
Tool Utilisation
- Defining tools and their schemas
- The tool-use loop and strategies for error recovery
- 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 basic custom one
- Implementing Agent Skills for reusable expertise
- Lab: Connecting an agent to an external data source
Claude Agent SDK
- The agent loop, session management, and context handling
- Managing permissions, hooks, and subagents
- Lab: Building a research and reporting agent
Cost, Quality, and Safety
- Implementing prompt caching and token budgeting
- Establishing guardrails and human approval workflows
- Conducting evaluations with a small test set
- Implementing logging and monitoring practices
From Prototype to Production
- Deployment strategies and secure secret management
- Ongoing maintenance and version control
- Developing a roadmap for your specific use case
Requirements
- Proficiency in Python or TypeScript
- Practical experience with REST APIs and JSON 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 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
