Anthropic’s Free Courses: Which One Fits You, What Order to Take Them In, and Eight Prompts That Turn Every Lesson Into a Skill and a Project

This is the list of free Anthropic Academy courses I am considering:
[paste course names from the catalogue]

About me:
- Background: [student/employee/developer... and programming level]
- Goal within 3 months: [e.g. use Claude at work / build an app with the API]
- Time per week: [hours]

1. Pick 3-4 courses for me, in order, with a reason for each.
2. Which courses should I postpone, and why?
3. Suggest one final project that combines what I will learn.
Rely only on the course names in the list, and if you need details about a course’s content, tell me to check it.

I will take these courses in order: [list]. I have [number] hours a week across [days].
Create a plan for [number] weeks:
- For each week: the lessons, the hands-on practice, and a tangible output at the end.
- Spend at least 40% of the time practising, not watching.
- Add a review day every two weeks.
- A fallback if I miss a week, without the schedule collapsing.

I finished a lesson called [lesson title] in [course name]. These are my notes:
[paste notes]

1. Correct my understanding: what is accurate and what is missing? (Tell me if you are unsure about the course’s actual content.)
2. Give me 3 graded exercises applying the idea to [my field: work / a course / a project].
3. What criterion would prove I have mastered this idea?
4. What mistake do beginners usually make on this topic?

Quiz me on [module topic] from [course name], based on these notes:
[paste notes]

- 6 questions, one at a time, waiting for my answer.
- Two on concepts, two on application, two "what would you do if...".
- After each answer: a brief correction.
- At the end: what should I redo before moving on?

I have done parts of Building with the Claude API and want to build my first real app.
Language: [Python/TypeScript]. App idea: [e.g. a tool that summarises meeting notes and extracts tasks].

Be a mentor, not a code writer:
1. Split the project into 5 small stages, each testable.
2. For each stage: what is needed, which concepts from the course I will use, and how to test it.
3. I will write the code myself and paste it; review it and point out mistakes without rewriting it all.
4. Warn me about security practices: keep the API key in environment variables, never push it to GitHub, and control cost.
Start with stage one only.

I am [my programming level] and about to start Introduction to Model Context Protocol.
1. Explain MCP with a simple analogy, then with the correct terms (client, server, tools, resources).
2. What problem does it solve, and when do I not need it?
3. Suggest 3 ideas for a small MCP server that fits my level and serves [my field], ordered from easiest.
4. Which parts should I verify in the official docs because they may change?
Do not invent function or package names; if you are unsure, say so.

I finished [course name]. Key things I learned: [list].
My field or interest: [...]. Time available: [number] hours.

1. Suggest 3 small projects that prove what I learned, each with: the problem, the output, and why it fits the course.
2. For the one I choose: clear acceptance criteria (when it counts as done) and a build plan in hours.
3. What to show on GitHub or my portfolio: README, screenshots, a short description.

I finished [course name] from Anthropic Academy and built [project description].
3 things I really learned: [...]
A challenge I hit and how I solved it: [...]
Project link: [...]

Write a 120-180 word first-person LinkedIn post:
- Open with what I built or learned, not "I am thrilled to announce".
- Mention the course as the source of learning without overstating the certificate.
- End with a question for readers.
Write two versions: calm and professional, and more enthusiastic. Do not add any achievement I did not mention.