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Anthropic Academy: 13 Free Courses Covering Claude, MCP, and Cloud Deployment

Forum topic · 小凯 · 2026-03-02

Summary

Anthropic Academy offers a completely free catalog of 13 courses hosted on Skilljar, covering everything from beginner AI literacy to production-grade AI development. The catalog spans three areas: AI Fluency courses for students, educators, professors, and nonprofits; product training including Claude 101 (13 lessons) and Claude Code in practice (21 lessons); and developer deep-dives such as Building with the Anthropic API (96 lessons), MCP: Introduction (14 lessons), MCP: Advanced Topics (15 lessons), Claude on Google Vertex AI (93 lessons), and Claude on Amazon Bedrock (83 lessons). The AI literacy curriculum was developed with an academic advisory board chaired by former Yale president Rick Levin, with contributions from Ringling College and University College Cork, and is released under Creative Commons so institutions can freely adopt and adapt it. Learners need only an email to register, and courses issue certificates. Anthropic also maintains an open-source GitHub course repository with hands-on Jupyter notebooks on API fundamentals, prompt engineering, prompt evaluation, and tool use. MCP is positioned as a USB-like standard protocol connecting AI models to external tools, and Anthropic Academy provides the only systematic MCP course path from basics to production patterns. Links: https://anthropic.skilljar.com, https://anthropic.com/learn, https://github.com/anthropics/courses.

Anthropic Academy: 13 Free Courses Covering Claude, MCP, and Cloud Deployment

Anthropic, the company behind Claude, has opened its complete training catalog — Anthropic Academy — to the public at no cost. The 13-course program ranges from "What is Claude" to deploying production workloads on AWS and Google Cloud.

Why Free?

The post frames this as a classic tech-industry "seeding" strategy (like GitHub's student programs or free JetBrains IDEs): let the next generation of developers grow up on your platform. But it goes beyond marketing:

  • A Higher Education Advisory Board is chaired by former Yale president Rick Levin, with members including Matthew Rascoff (Stanford) and David Leebron (Rice).
  • Courses are co-developed with professors from Ringling College of Art & Design and University College Cork.
  • The AI literacy curriculum is open-sourced under a Creative Commons license — any school can adopt, modify, and distribute it.
  • The Complete Course Map

    Group 1: AI Fluency (for everyone)

    1. AI Fluency: Frameworks & Fundamentals (15 lessons) — effective, ethical collaboration with AI; prompt design; recognizing hallucinations. 2. AI Fluency for Students (6 lessons) — using AI for learning and career planning while avoiding academic misconduct. 3. AI Fluency for Educators (10 lessons) — integrating AI into teaching, assessment, and academic integrity. 4. AI Fluency for Professors (8 lessons) — curriculum design and training other instructors. 5. AI Fluency for Nonprofits (10 lessons) — boosting efficiency with limited resources.

    Group 2: Product Training

    6. Claude 101 (13 lessons) — core features, prompting, everyday workflows. 7. Claude Code in Action (21 lessons) — command-line AI coding assistant: natural-language code edits, project-wide context, GitHub integration, custom commands and automation.

    Group 3: Developer Deep-Dives

    8. Building with the Anthropic API (96 lessons) — SDK setup, model parameters (temperature, max_tokens, top_p), multimodal prompting, streaming, error handling, production best practices. 9. Agent Skills: Introduction (6 lessons) — reusable Markdown instruction files for Claude Code. 10. Model Context Protocol (MCP): Introduction (14 lessons) — the three core primitives (Tools, Resources, Prompts); building MCP servers and clients in Python. MCP is described as the "USB port" of the AI world; Cursor, Claude Code, and Windsurf all support it. 11. MCP: Advanced Topics (15 lessons) — production patterns, sampling, notifications, filesystem access, transports. 12. Claude with Google Vertex AI (93 lessons) — Vertex AI setup, cloud-native workflows, production deployment. 13. Claude with Amazon Bedrock (83 lessons) — the official training used for AWS staff, now open to everyone; enterprise management, security, cost optimization.

    What Makes It Special

  • Genuinely free — not a trial or freemium tier. A Skilljar account (email only) unlocks all 13 courses, with certificates that can be added to LinkedIn.
  • Academic credibility — real university partnerships rather than pure vendor marketing.
  • The only systematic MCP curriculum — from intro to production-grade topics.
  • Full spectrum — tracks for casual users, developers, architects, and educators.
  • Suggested Learning Paths

  • Complete beginner: Claude 101 → AI Fluency Fundamentals → Claude Code (if developer)
  • Developer integrating Claude: API course → MCP Intro → MCP Advanced
  • Enterprise engineer: Bedrock course (AWS) or Vertex AI course (Google Cloud)
  • Educator: AI Fluency Fundamentals → Educator Fluency → Professor Fluency
  • Open-Source Courses on GitHub

    Beyond Skilljar, Anthropic maintains a GitHub repository with 5 hands-on Jupyter notebooks:

    1. Anthropic API fundamentals 2. Interactive prompt engineering tutorial 3. Real-world prompt engineering 4. Prompt evaluations 5. Tool use

    Resources

  • Anthropic Academy (Skilljar): https://anthropic.skilljar.com
  • Course overview: https://anthropic.com/learn
  • GitHub open courses: https://github.com/anthropics/courses
  • Chinese community course collection: https://github.com/tanweai/Anthropic-Academy
The post closes with the Yeats quote: "Education is not the filling of a pail, but the lighting of a fire" — arguing that in the AI era, learning AI should not be a privilege of the wealthy, and that all you need to start is an email address.

Tags

#anthropic-academy#free-courses#claude#mcp#claude-code#ai-literacy#amazon-bedrock#google-vertex-ai

This page is an English static mirror generated for search and AI citation. It may be a full translation or structured summary of the Chinese original. Canonical interactive discussion lives on the Chinese page: https://zhichai.net/topic/177168667