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Course

Anthropic Claude and Claude Code for Technical Specialists

Master the full Anthropic toolchain: from the claude.ai web app to building enterprise MCP servers.

Enroll in the course
3–4 days
Duration
24 academic hours
Volume
15–20 people
Group
✓
Certificate

Who this course is for

Frontend developersBackend developersQA engineersDevelopment and delivery project leads

Course program

  1. 1
    Day 1

    The claude.ai web app, the Claude API, and prompt engineering

    We master the web interface, Projects, and Artifacts, then move to the API and advanced prompting techniques.

    • Getting to know the Claude.ai web app: interface, the Sonnet and Opus models, working with files and Projects, Artifacts
    • Advanced work with claude.ai: effective usage patterns, collaboration features, and workflow integration
    • From the web interface to the API: when the API becomes necessary, the relationship between the interface and the API
    • Introduction to the Anthropic API: the Messages API, models, core parameters, your first API calls
    • Prompt engineering for Claude: few-shot learning, chain-of-thought, working with code through prompts
  2. 2
    Day 2

    Tool use, the Artifacts API, and Claude Code

    Function calling, agentic programming, and your first steps with Claude Code.

    • Tool use and function calling: the concept, multi-turn conversations with tools
    • Artifacts and practical patterns: Artifacts in the API vs. the web interface, structured outputs
    • Introduction to Claude Code: from copilot to agent, architecture, installing the CLI and the IDE extension
    • Core Claude Code workflows: building a feature from scratch, debugging and bug fixing, multi-file operations
  3. 3
    Day 3

    Claude Code Advanced and the Model Context Protocol

    Advanced Claude Code capabilities, security, and building MCP servers.

    • Advanced Claude Code capabilities: composability, CI/CD automation, custom workflows
    • Security and best practices: architectural safety, data privacy, quality assurance
    • Introduction to the Model Context Protocol: the N×M integration problem, the Tools/Resources/Prompts architecture, the ecosystem of existing servers
    • Building MCP servers: the Python and TypeScript SDKs, implementing Tools/Resources/Prompts, local testing and debugging
  4. 4
    Day 4 (optional)

    Enterprise rollout and case studies

    Production deployment, real-world cases, and final project defense.

    • Enterprise integration: deployment strategies, security, monitoring and scalability, deploying an MCP server for a team
    • The future of AI development: from engineer to AI manager, autonomous workflows, the Anthropic roadmap, final project defense

What you get

Work effectively with the claude.ai web app: Projects, Artifacts, working with files

Work professionally with the Claude API: integration, prompt engineering, tool use

Use Claude Code to automate development and delegate tasks to an AI agent

Build and roll out MCP servers for enterprise integrations

Understand the Anthropic ecosystem: when to use the web interface, the API, or Claude Code

Enroll in the course

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xpertnet.ai is not affiliated with or endorsed by Anthropic PBC. Claude and Claude Code are trademarks of Anthropic PBC.

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