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Claude Code for FDE

By Steve Elson Categories: Claude Code
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About Course

A Full Stack Forward Deployed Engineer (FDE) works side by side with a client’s team to design, build, launch and improve AI applications that run in production. The role mixes full-stack development, AI engineering, solution design and technical consulting. An FDE solves real business problems with the client, speeds up AI adoption, and turns successful client work into reusable solutions.

Areas of Expertise

  • Claude API: building apps with conversations, streaming, tools and structured output
  • Claude Code: planning, steering and automating real engineering work
  • Claude on Amazon Bedrock (AWS): running Claude inside a company’s AWS setup
  • Model Context Protocol (MCP): connecting Claude to external tools and data, advanced topics
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What Will You Learn?

  • Claude Code fundamentals
  • Exploring and understanding codebases
  • Effective prompting for coding
  • Plan Mode and long-session management
  • Compact and checkpoint recovery
  • Creating effective CLAUDE.md files
  • Permissions, hooks, and verification skills
  • Autonomous coding workflows
  • Headless runs and completion goals
  • Git worktrees and parallel development
  • GitHub Actions code review
  • Claude API development
  • Conversations, streaming, and structured output
  • AI tool use
  • RAG fundamentals
  • Amazon Bedrock
  • MCP connections
  • Claude plugins
  • Connecting Claude to external tools and data
  • Verifying unsupervised AI work
  • Building a client-style AI project

Course Content

Getting Started with Claude Code
Installing Claude Code, first session, exploring a codebase, good prompting habits

Planning and Steering Long Sessions
Plan mode, guided /compact, rewinding to checkpoints when work goes off track

Configuring Claude
Writing an effective CLAUDE.md, permission modes, hooks, verification skills

Autonomous and Parallel Work
Completion goals, loops, headless runs, git worktrees, GitHub Actions code review

Claude API and Amazon Bedrock
API calls, tool use, RAG basics, and deploying Claude through AWS Bedrock

MCP, Plugins and Capstone
Building MCP connections, plugins, checking unsupervised work, final client-style project

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