Mapping Out Claude Courses
AI, Claude, EdTech, InfoGraphics
Curious about Claude’s offerings, I asked it to lay out the courses for me as an educator. Here’s what it came up with.
Wait, Before You Explore That
Take a quick look at these curated lists of Gen AI learning opportunities, mostly free.
- Free Gen AI Training Opportunities: This is a collection of Gen AI self-paced, free (as far as I know) courses.
- TCEA Online Courses: You’ll want to check out the TCEA AI Courses and Knowledge Boosters.
I am also looking forward to a new “Think with Claude” knowledge booster that launches next week. It’s a great intro to Claude available via your browser, and features a technical overview. Of course, Claude Cowork and Code will probably be their own boosters given how much you can do with them.
A near perfect infographic via Nano Banana 2. Can you spot the error?
Claude’s Recommendation for Its Free Courses
After putting together the Think with Claude knowledge booster, I realized I wanted to go a little deeper. One way to do that is to take these Claude courses, even though some of it may be review.
Version 2 via NB2
The review would start with Round 1, then move to Round 2 to learn more stuff, depending on how much I can stretch my brain. I really have to space my learning out just to give myself time to process new ideas and concepts.
Round
Priority
Course
Modules
Est. Time*
Why for You
Prereqs
Round 1
1
AI Fluency: Framework & Foundations
~20
2–3 hrs
Required prerequisite for both educator courses; covers the 4D Framework you’ll be teaching
None
Round 1
2
~8
1–1.5 hrs
Applies the framework to course design, outcomes, and assignments — take this as a learner before leading others through it
Course above
Round 1
3
~11
1.5–2 hrs
Teaches you to deliver and assess AI Fluency in instructor-led settings; covers assignment design and disciplinary application
Course #1
Round 1 Total
~5–6.5 hrs
Round 2
4
~16
1.5–2 hrs
Practical product fluency — Projects, Artifacts, Cowork, Research mode. Good baseline before going deeper technically
None
Round 2
5
~20
2–3 hrs
Intro to AI-assisted coding workflows; accessible with basic CLI/Git knowledge — no Python required
CLI/Git basics
Round 2
6
Intro to Model Context Protocol
~17
2–2.5 hrs
Understand how Claude connects to external tools and services — critical context for evaluating AI integrations in education
Python basics
Round 2
7
~80+
8–12 hrs
Comprehensive developer course — RAG, agents, tool use, MCP, prompt engineering. Heavy lift but makes you conversant with everything your tech team is building
Python + JSON
Round 2 Total
~14–20 hrs
Full Program Total
~19–26 hrs
*Time estimates based on module counts; no official durations published. Building with the Claude API is the clear outlier in scope — it’s a full developer bootcamp, not a survey course.