Curious PM: AI Product Strategy & Build Lab Series

Stop Nodding Along When Engineers Talk About AI

Build deep technical understanding without becoming an engineer.
Speak AI fluently. Make confident decisions. Lead technical discussions.
Small cohort. PM-focused depth. Real technical confidence.

100% Technical Confidence

0% Engineering Required

3 AI Systems Built

Build Confidence See Technical Path

🎯 Confidence Guarantee - You'll speak AI as fluently as engineers, but with product perspective

Tired of Feeling Technical Inadequate?

The Nodding Problem

"Engineers talk about transformers, embeddings, and context windows. I smile and nod, but I have no idea what they mean or how it affects my product."

The Decision Paralysis

"The team presents 3 AI approaches and I can't evaluate which is best. I feel like I need to trust their judgment without understanding the tradeoffs."

The Credibility Crisis

"When I suggest AI features, engineers give me 'the look' - like I don't understand what's technically possible. How can I lead if I lack technical credibility?"

Technical Depth Without Engineering Degree

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PM-Focused Technical Learning

Learn AI technology from a product perspective. Understand what matters for decisions, costs, and user experience - skip the irrelevant details.

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Speak the Language

Master AI vocabulary and concepts engineers use. Ask intelligent questions, challenge technical assumptions, and contribute meaningfully to architecture discussions.

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Evaluate Technical Tradeoffs

Confidently assess different AI approaches. Understand performance vs cost, complexity vs maintainability, and make informed product decisions.

Perfect for PMs Who Want Technical Credibility

You Feel Technically Left Out

Engineers talk over your head about AI
You nod along but don't understand
Feel excluded from technical discussions
Want to contribute meaningfully to AI decisions

You Want to Lead, Not Follow

Tired of just trusting engineering estimates
Want to challenge technical assumptions
Need to evaluate AI vendor claims
Want credibility when proposing AI features

You're Smart but Not Technical

Strong product intuition and business sense
Can learn complex concepts when explained well
Want depth without becoming an engineer
Need practical, applicable knowledge

Your Technical Confidence Journey

Week 1-2

Decode the Jargon

Learn what engineers really mean when they say "LLM," "context window," or "embedding." Translate technical concepts into product implications.

Week 3-4

Ask Smart Questions

Build your first AI product while learning to ask the right technical questions. Stop nodding along - start probing and understanding.

Week 5-8

Evaluate Approaches

Compare different AI architectures. Understand when to use RAG vs fine-tuning, GPT-4 vs smaller models, cloud vs on-premise.

Week 9-12

Lead Technical Discussions

Confidently challenge engineering decisions. Propose technical solutions. Lead AI architecture discussions from a product perspective.

Technical Skills You'll Master

AI Architecture Understanding

How LLMs process and generate text
When to use different model sizes
API vs fine-tuned model decisions
Cost implications of different approaches

Performance Evaluation

Measuring AI accuracy and reliability
Understanding latency and throughput
Evaluating hallucination risks
Setting realistic performance expectations

Technical Decision Making

Choosing between AI solutions
Evaluating vendor claims and demos
Understanding technical feasibility
Balancing complexity vs capability

Engineering Collaboration

Speaking fluent AI technical language
Challenging technical assumptions respectfully
Contributing to architecture discussions
Bridging business and technical requirements

Your Transformation: Before vs After

Before: Technically Intimidated

❌ "I don't understand what the engineers are saying"
❌ "I just trust their technical judgment"
❌ "I feel stupid asking basic questions"
❌ "I can't evaluate if AI solutions are good"
❌ "Engineers dismiss my AI suggestions"

After: Technically Confident

✅ "I understand the technical tradeoffs involved"
✅ "I can challenge technical assumptions confidently"
✅ "I ask smart questions that engineers respect"
✅ "I evaluate AI approaches based on product needs"
✅ "Engineers value my technical input on AI features"

Handle Real Technical Scenarios

Scenario: Engineering Cost Estimate

Engineer says: "This AI feature will cost $50/month in API calls"

You confidently respond: "Based on our user volume and the token usage I calculated, that seems high. Are we optimizing for prompt length? Could we cache common responses?"

Scenario: AI Solution Proposal

Vendor claims: "Our AI has 99% accuracy on your use case"

You confidently evaluate: "What's your evaluation dataset? How do you handle edge cases? Can we test with our specific data patterns before committing?"

Scenario: Architecture Decision

Team debate: "Should we use RAG or fine-tune for this feature?"

You confidently contribute: "Given our data update frequency and cost constraints, RAG makes more sense. Fine-tuning would be overkill and harder to maintain."

Learn from a PM Who Gained Technical Confidence

Ankit Aggarwal

PM Who Speaks Engineering's Language

I wasn't born with technical confidence. I remember feeling intimidated in engineering discussions, nodding along without really understanding.

What changed? I learned to ask the right questions and understand the underlying concepts without trying to become an engineer myself.

Now I regularly challenge technical teams, evaluate AI architectures, and lead technical discussions - all while staying focused on product outcomes.

90% Students Gain Confidence

5 Years Building Confidence

0 Engineering Degree Needed

Ready to Build Technical Confidence?

Join PMs who speak AI fluently with their engineering teams

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Want to discuss specific technical challenges you're facing? Let's talk about building your confidence.

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Quick call to assess your current technical confidence level and create a personalized learning plan.

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🎯 Confidence Guarantee

If you don't feel confident in AI technical discussions after 12 weeks, we'll work together until you do.