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Alex Wang — Free Claude Learning Videos from Anthropic

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Free Claude Learning Videos from Anthropic

A LinkedIn post by Alex Wang (LinkedIn Influencer).

Claude Code is much more than a coding assistant. The real value starts when you turn it into a repeatable workflow system:

  • CLAUDE.md for rules and context
  • Skills for reusable expertise
  • Hooks for guardrails
  • Subagents for delegated work

He frames it as a dependency chain: rules → expertise → quality → delegation → distribution. The flashy layers (skills, hooks, subagents) only hold up if the memory (CLAUDE.md) and knowledge layers beneath them are solid.

Anthropic’s free short learning videos

  1. Claude Code fundamentals
  2. Build Apps With the Claude API — build real apps with Claude
  3. MCP: Connect Claude to Anything — build MCP servers and clients
  4. MCP: Level Up for Production — scale MCP to production systems
  5. Agent Skills: Automate With Claude Code — create reusable skills
  6. Claude on AWS: Bedrock — run Claude on AWS
  7. Claude on Google Cloud: Vertex AI — run Claude on Google Cloud

(Plus a paid live workshop with an early-bird discount per cohort.)

Discussion

  • Franck Parienti: “The layer most teams underrate is memory. They write CLAUDE.md once at setup and never touch it again. The real compounding starts when it becomes a living feedback loop, updated after every correction.”
  • Muhammad Zaryab: “AI productivity isn’t about generating more code — it’s about creating repeatable systems that reduce cognitive load while maintaining quality.”
  • Jakub Piorkowski: “Rules → expertise → quality → delegation → distribution. That’s a dependency chain, not a menu.” Subagents with no context delegate confidently in the wrong direction.

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