Claude AI / Claude Code for Developers

Overview

Claude AI / Claude Code for Developers focuses on getting dependable results from Claude and Claude Code across the development lifecycle. You will work through…

What you will learn

  • Use Claude for code review, explanation, and design with structured prompts (Module 1).
  • Run Claude Code from terminal and IDE to explore, modify, and test a codebase (Module 2).
  • Write project memory, custom commands, hooks, and permission settings (Module 3).
  • Plan and deliver multi-file features with tests using plan mode and review cycles (Module 4).

Prerequisites

  • Required: Programming experience, command line and Git basics. Machine with Node.js, an IDE, and Claude Code installed. Claude and API access [confirm whether provided].
  • Helpful: Pull-request workflows and CI familiarity. If you are new to programming, this course is not the right starting point.

Curriculum

  1. Module 1: Claude for Developers: Foundations

    • Topics: Model family and strengths; context windows and long documents; projects, artifacts, and files; clear instructions and XML-structured prompts; examples and system prompts; iterating on code.
    • Deliverable: Prompt set. Completion check: Module 1 assessment.

    Hands-on:

    • Practice: Technical Prompt Set. Review, explanation, and design prompts compared.

  2. Module 2: Getting Started with Claude Code

    • Topics: Terminal and IDE setup; sessions, permissions, and modes; navigating a codebase; explaining and modifying code; running tests and commands; Git operations.
    • Deliverable: Merged change. Completion check: Module 2 assessment.

    Hands-on:

    • Practice: Codebase Onboarding. Explore an unfamiliar repository and ship a small change with tests.

  3. Module 3: Project Context and Customization

    • Topics: Project memory files; conventions and architecture notes; managing context size; slash commands and reusable workflows; hooks and automation; settings and permissions.
    • Deliverable: Project configuration. Completion check: Module 3 assessment.

    Hands-on:

    • Practice: Project Memory and Commands. Memory, commands, and permissions for a repository.

  4. Module 4: Agentic Development Workflows

    • Topics: Plan mode and task breakdown; multi-file refactors; subagents and parallel work; test-driven development with agents; review and iteration; long tasks.
    • Deliverable: Feature with tests. Completion check: Module 4 assessment.

    Hands-on:

    • Practice: Feature Delivery. Multi-file feature with tests via plan mode.

  5. Module 5: MCP and Tool Integration

    • Topics: Adding MCP servers; databases, browsers, and issue trackers; security and scopes; headless and scripted runs; GitHub integration; pull request workflows.
    • Deliverable: Automated workflow. Completion check: Module 5 assessment.

    Hands-on:

    • Practice: Connected Workflow. MCP server plus automated issue-to-PR flow.

  6. Module 6: Building on the Claude API

    • Topics: Messages, system prompts, and streaming; tool use and structured outputs; vision and documents; RAG with Claude; prompt caching and batching; Agent SDK basics.
    • Deliverable: API application. Completion check: Module 6 assessment.

    Hands-on:

    • Practice: Tool-Using Assistant. API app with tools, structured outputs, caching.

  7. Module 7: Testing, Debugging, and Code Quality with Claude

    • Topics: Test generation; root-cause analysis; log and error interpretation; refactoring and modernization; architecture documentation; code review assistance.
    • Deliverable: Improved module. Completion check: Module 7 assessment.

    Hands-on:

    • Practice: Quality Sweep. Test, refactor, and documentation pass on a legacy module.

  8. Module 8: Safety, Governance, and Team Practices

    • Topics: Permission models and sandboxing; secrets and data handling; reviewing generated code; shared configuration; metrics and cost; training and standards.
    • Deliverable: Team standards pack. Completion check: Module 8 assessment.
    • Capstone (independent work, [CAPSTONE_HOURS] hours): A feature delivered end to end with Claude Code: project memory, planned implementation, tests, MCP integration, an automated pull request, and a Claude API component with tool use.

    Hands-on:

    • Practice: Team Standards. Shared configuration, review rules, and a usage policy.

Course fee

$699 $399

What's included

  • Live cohort + recordings: Attend every session live and revisit the recordings for one year.
  • Real lab environment: Practise on a hands-on environment that mirrors real projects.
  • Live doubt-clearing support: Ask questions and get answers in real time during every session.
  • Assessments and lab activities: Apply what you learn through graded assessments and guided labs.
  • Learning assets: Keep the slides, notes, and reference material for good.
  • Role-readiness guidance: Mentor guidance to get you ready for the role you are targeting.
  • Verifiable certificate: Earn a shareable certificate on completing the hands-on capstone.
  • Global peer community: Learn with a global cohort and stay connected after the program.

In short

Claude AI / Claude Code for Developers is a 24-hour instructor-led course covering Module 1: Claude for Developers: Foundations, Module 2: Getting Started with Claude Code, Module 3: Project Context and Customization. It includes guided practical labs.

Key facts

  • Course: Claude AI / Claude Code for Developers
  • Duration: 24 hours
  • Modules: 8
  • Format: instructor-led live training

Frequently asked questions

What is the difference between Claude and Claude Code?

Claude is the assistant for chat, documents, and design work. Claude Code is an agentic tool that works inside your repository from the terminal or IDE. Both are covered.

Do I need a paid Claude subscription?

[Confirm]. Claude Code labs require access through a subscription or API credits.

Which programming language is used?

Labs are language-agnostic with starter projects in [confirm languages]. You can follow in your own stack.

How is this different from GitHub Copilot for Developers?

Copilot is IDE-centric and GitHub-specific. This course covers agentic terminal workflows, project-level configuration, MCP, and building on the Claude API.

Is this related to the SAP Claude course?

AI for SAP Consultants with Claude & MCP applies Claude to SAP delivery artifacts. This course is for general software development.

How is safety handled?

Permission modes, sandboxing, and secrets handling are covered in Modules 2 and 8, and every agentic lab includes a review step.

What do I keep?

Project configuration, a delivered feature, an automated workflow, an API application, a refactored module, and a team standards pack.

Is a corporate version available?

Yes, with labs on your codebase and security requirements.

Topics covered

Claude AI / Claude Code for Developers, Artificial intelligence, Corporate training