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Hey,
Today we’re breaking the usual format and focusing on one thing only: how to use Anthropic Academy to seriously level up your AI skills this week – without spending a cent.
Most of you are developers, creators, or small business owners. The question isn’t if you’ll use AI in your work, but how quickly you can build real, practical skills that go beyond “just prompting a chatbot.” That’s exactly what these free Anthropic courses are designed to do.
Anthropic Academy is a catalog of short, structured AI courses: most are 1–2 hours, fully self‑paced, with videos, quizzes, and an official certificate when you’re done. Everything runs on Skilljar, so you just create a free account, enroll, and start learning.
You don’t need a paid Claude plan to study; you only need an Anthropic account later if you want to use Claude in production or connect APIs. For devs, this is basically a free “AI engineering curriculum” from the team that actually builds Claude.
Full catalog:
👉 https://anthropic.skilljar.com
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🛠️ THE COURSES
Claude 101 is the core onboarding to how Claude works, how to talk to it, and how to organize your work.
Covers: “Your first conversation with Claude,” “Getting better results,” “Organizing your work and knowledge,” “Connecting your tools,” and “Enterprise search.”
Includes an official certificate from Anthropic when you complete the course.
Direct link:
👉 https://anthropic.skilljar.com/claude-101
AI Fluency: Framework & Foundations is a short course on collaborating with AI safely, effectively, and responsibly.
Focuses on core AI concepts, limits, best practices, and real‑world use patterns.
Great for aligning dev, product, marketing, and leadership on what modern AI can and can’t do.
If you’re the “AI person” in your company, this is a solid resource to share so everyone stops treating AI like magic.
For developers, Claude Code in Action is the heavy hitter.
You’ll actually learn how to:
Use Claude Code inside your dev workflow, not just in a browser tab.
Work with the CLI, manage large codebases and context, and control what the model can see.
Create custom commands and automations for repetitive tasks like refactors, tests, and documentation.
Integrate with GitHub and use the Claude Code SDK to plug into your CI and tooling.
Direct link:
👉 https://anthropic.skilljar.com/claude-code-in-action
Introduction to Model Context Protocol teaches MCP, the protocol Anthropic uses to connect Claude to external tools, data, and services.
In this course, you’ll:
Learn MCP’s three core primitives: tools, resources, and prompts.
Build MCP servers in Python and connect them to a client, exposing tools and resources to Claude.
See practical patterns like autocomplete and context injection into conversations.
If you want to be “the agent person” on your team – the one who actually understands what’s behind all the “AI agent” marketing – start here.
Once you’ve taken the intro, Model Context Protocol: Advanced Topics pushes further.
Covers more advanced patterns for server–client communication in MCP.
Dives into more complex orchestration scenarios across multiple tools and resources.
This is the kind of detail that’s going to show up on future job descriptions as “strong plus: experience with MCP and agents.”
Anthropic’s learning tracks also include a course on building with the Claude API / Anthropic API, focusing on the programmatic side of Claude.
You’ll learn how to:
Call the Claude API, work with streaming responses, and use structured outputs.
Set up evaluation workflows (evals) to systematically test prompts and behaviors.
Combine multi‑turn conversations with tools and external data sources.
You can find this via:
👉 Anthropic Learn hub: https://www.anthropic.com/learn
👉 Full Skilljar catalog (includes API‑related tracks): https://anthropic.skilljar.com
If you’ve been hacking together random API calls, this pushes you toward real product architecture with AI features, not just experiments.
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Are the certificates “real enough” to matter?
Yes. These certificates come from Anthropic, the lab behind Claude, and are issued via Skilljar for each course. In practice, that means you can honestly say you’ve completed:
“Claude 101,” “AI Fluency,” “Claude Code in Action,” “Introduction to MCP,” “MCP: Advanced Topics,” and cloud/API tracks.
And you have concrete course names and topics to list on LinkedIn, your resume, or your portfolio.
For hiring managers and clients, that’s a much stronger signal than “I’m good at prompting.”
That’s it for today, PLEASE SHARE THIS WITH A FRIEND OR A FRIEND OF A FRIEND AND lets all learn some more.