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I Took All 18 Anthropic Courses in One Weekend (Honest Review)

by Matt Penny | Applied AI

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📚 Main Topics

  1. Overview of Claude Training Courses

    • Anthropic offers 18 free training courses on Claude.
    • The speaker reviews each course based on personal experience.
  2. Course Evaluations

    • Claude 101Good introduction for beginners, but better to learn by using Claude directly.
    • Claude Code 101Contains useful information but has a lot of fluff; certifications are easy to obtain and not very meaningful.
    • Introduction to Claude Co-workLacks important content on connections; outdated information.
    • Claude Code in ActionMostly a rehash of Claude Code 101 with some technical details.
    • AI Fluency CourseConsidered a waste of time; lacks practical application.
    • Building with the Claude APIIn-depth but may be unnecessary as Claude can generate its own API calls.
    • Model Context Protocol (MCP)Useful but best learned through practical application.
    • AI Fluency for Educators/StudentsBoth courses deemed unhelpful and non-actionable.
    • MCP Advanced TopicsInteresting but not essential for those already knowledgeable.
    • Claude with Amazon Bedrock/Google Cloud Vertex APIOverlapping content; choose one based on interest.
    • AI Capabilities and LimitationsBest learned through hands-on experience.
    • AI Fluency for Small BusinessesToo short and not comprehensive; lacks actionable content.
  3. Learning Recommendations

    • Emphasis on practical application over theoretical learning.
    • Suggests identifying specific problems to solve using Claude.
    • Recommends joining the Applied AI Mastermind for up-to-date resources and support.

✨ Key Takeaways

  • Practical Experience is CrucialThe best way to learn Claude is through hands-on use rather than just taking courses.
  • Course Quality VariesSome courses are useful for beginners, while many are outdated or lack practical application.
  • Certifications are Not Indicative of SkillEarning certifications from these courses does not reflect true understanding or capability.
  • Focus on Real-World ApplicationsIdentify business processes that can be automated with AI for effective learning and implementation.

🧠 Lessons Learned

  • Engagement with AIActively using Claude to solve real problems is more beneficial than passive learning through courses.
  • Continuous LearningStaying updated with the latest developments in AI is essential for effective application.
  • Community SupportLearning from others and sharing experiences can significantly enhance the learning curve.

This summary encapsulates the speaker's insights on the Claude training courses, emphasizing the importance of practical application and continuous learning in mastering AI tools.

Transcript excerpt

0:00 Most people are completely unaware that Anthropic have 18 full-length training courses all about Claude and they're completely free. But are they actually any good? Well, this weekend I went through every single one of them. I passed all of their certifications just so that I could tell you if they're any good or not. Yes, this is really how I spend my weekends. So, let me break it down for you and tell you exactly which ones are worth your time and which ones are a complete waste of your time. Let's get into it. So, let's start with the first one on the list, Claude 101. Now, this is quite

0:30 a good introduction. It takes you through talking to AI, the desktop app, which is certainly the best way to use Claude if you're new to Claude. It takes you through the basic features like projects and artifacts and skills and it talks about tools and different modes and they don't actually get you to use Claude. They're just telling you about the different features and how it all works. But with that being said, it's still pretty good. If you're new to Claude, it's pretty decent. However, a better approach is simply to download Claude, ask it what its key features are, ask it to explain those key features, ask uh Claude questions about

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