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Welcome Aboard - Start Here - Introduce Yourself
Hey there, And a warm welcome to our vibrant community. This is where you start the journey towards making your dreams a reality. This community is not just about product management. Instead, it is about sharing your aspirations, your ambitions, your goals. And then learning the things that will help you achieve the same goals. And the best way to give back to those who helped you along the way is to pass it forward. Help others who are in similar situations as you were by guiding them and sharing the lessons that you learned in your journey So without further ado, let's do this. Let's do it together. Let's meet our professional goals and help others meet theirs. A short intro to this community: You will find three major sections: Community: where you can post and read all the posts on all topics (or choose to filter the ones that are of most interest) Classroom: this is where you will find all the courses and challenges. You will automatically have access to all the FREE resources and the paid courses that you've already bought. Events: this is where you can find a calendar of all the upcoming (and past events) you can RSVP, get access to sign up links and recordings. With that said, enough about the community, let's know you a little bit more. Tell us: - Where you’re from - What you do - What you’re looking to learn or achieve here - A fun fact about yourself Excited to grow and learn with you!
AIPMA | Week 4 | Coh 002
This is where you submit your work for the three Module 4 activities. Reply to this post with your submissions. What to submit: Activity 1 — The PM Decision Audit Your 4-section diagnosis memo (300–500 words). Include all four sections: what the user expected, what the system did, root cause, and recommended fix. Activity 2 — Design the Invisible Decisions Your answers to all 5 PM decisions for the Spotify "Why This Song?" feature. Be specific — "it should be smart" doesn't count. Activity 3 — The Trade-off Debate Your synthesis paragraph(s). Complete the sentence for each dimension: "Notion AI's approach is better when ___. Gemini's approach is better when ___." How to submit: Make a copy of the google doc in the original post. Add your answers to it. Reply to this post, and include a link to your doc. Peer review (Activity 1 only): After you submit your diagnosis memo, read two other students' submissions and reply to their comment with your peer review. Do you agree with their root cause? Would their fix work? Did they catch something you missed? Drop your submissions below 👇
AIPMA | Week 3 Activity | Coh 002
Before you build AI, you define what "right" looks like. That's a golden set. Your task: - Create 10 test cases for a travel itinerary chatbot. Define the user, their message, and exactly what the AI should (and shouldn't) do. - Full brief with product context and template linked in the above post. - Drop your submission link in the comments 👇
AIPMA | Week 2 Activity | Coh 002
This week we have got 5 activities that put everything from Module 2 into practice: 1. Fix the Prompt — Take broken prompts and rewrite them using the 5 Elements framework 2. Diagnose the Failure — Figure out why an AI product is giving bad output (hint: it's almost never the model) 3. Design the Context — Map out all 6 context components for a real product scenario 4. Classify the Approach — Decide whether a feature needs a simple prompt, RAG, an agent, or fine-tuning 5. Write a System Prompt — Write a production-quality system prompt from a product brief, then test it live This doc has all 5 activities. Here's what to do: → Make a copy of the doc → Work through the activities → Link your completed copy as a comment on this post
AI PMA | Activity | Week 1
Please share a document with the LLM's name, prompt, and the learning summary of session. Please include a visual as part of the learning summary. (I recommend using Google Nano Banana for it) Finally, please share: - How would you define "good quality" in this case - How would you measure success of the "Online classes learning summariser" feature
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