Course – AI Engineering
Claude for Developers — Claude Code & the Anthropic API
2 Days / 14 Hrs Intermediate Classroom / Live Virtual
Duration
2 Days / 14 hrs
Level
Intermediate
Format
Classroom / Live Virtual
Domain
AI · Developer Tools
Training Methodology
Learning by Doing
Every session in this program is built around hands-on execution, not passive slides — you leave having built something, not just watched a demo.
01
Explore
Hands-on labs from Day 1 — real or sandboxed environments, not slide decks.
02
Experiment
Work against scenarios that mirror your actual stack.
03
Engage
Solve real business problems in every session, not toy examples.
04
Apply
Capstone exercises tied to your team’s actual workflows.
Who This Is For
What You’ll Be Able to Do
- Hands-on experience with Claude Code for real coding tasks
- Working knowledge of the Anthropic API — messages, tools, streaming
- Practical use of MCP servers for connecting external tools
- Faster, more confident workflows using an AI coding partner
Prerequisites
- Working knowledge of at least one programming language
- Basic familiarity with command-line tools and Git
Curriculum
Module 1
Claude Code Fundamentals
- Installing and configuring Claude Code
- Working in the terminal, VS Code, and JetBrains
- Reading, writing, and refactoring code with Claude Code
Module 2
Agentic Coding Workflows
- Multi-file edits and codebase navigation
- Test generation, debugging, and troubleshooting
- Code review and pull request workflows
Module 3
Anthropic API Fundamentals
- Messages API — requests, responses, streaming
- Model selection and parameters
- Handling errors and rate limits
Module 4
Tool Use & Function Calling
- Defining and calling custom tools
- Structured outputs (JSON) for downstream systems
- Building a simple agent loop
Module 5
MCP & Integrations
- What is MCP and why it matters
- Connecting Claude to external services (Drive, Gmail, internal tools)
- Building a simple MCP server
Module 6
Production Considerations
- Prompt versioning and testing
- Cost, latency, and reliability tradeoffs
- Security and data-handling basics
Delivery Details
- Delivered as classroom or live virtual instructor-led — scheduled around your team
- Labs are illustrative and may vary by trainer approach, participant profile, and Claude/Anthropic API access
- Code-first, hands-on delivery throughout