Prototype to Production: The AI PM Playbook

Perfect for: Product Managers with foundational AI knowledge (LLMs, RAG, etc.) who want to transition from understanding concepts to shipping successful AI products\n> \n> Key outcome: Master the complete AI product lifecycle from prototype to production, build functional AI agents, and develop robust evaluation frameworks within 4 weeks\n> \n> Prerequisites: Familiarity with AI terms and concepts required. Some coding/debugging experience helpful (ability to read Python code). Tools: Cursor, Replit account needed\n\n## What Sets This Course Apart\nThis isn't theoretical AI education—it's a hands-on practitioner's playbook taught by Aman Khan, Director of Product at Arize AI, who actively works with companies like Uber, Instacart, and Reddit. The course reveals the "hidden lever" behind exceptional AI products: evaluations, not just better prompts.\n\n## Course Journey\n1. AI Agent Development (Week 1)\n - Build functional AI agents using low-code tools\n - Code generation with Cursor/Replit + LangGraph/Crew\n - Understanding inner workings of AI product components\n\n2. Evaluation Mastery (Week 2)\n - Design and implement robust AI evaluation frameworks\n - Move beyond simple accuracy and toxicity metrics\n - Run evals on prototypes and iterate systematically\n\n3. Production Implementation (Week 3)\n - Best practices for scaling AI products\n - Managing cost, latency, and performance constraints\n - Working effectively with AI engineering teams\n\n4. Strategic AI Leadership (Week 4)\n - Define H1/H2 AI roadmaps with confidence\n - Create "AI strategy documents" for stakeholder communication\n - Identify and hire exceptional AI PMs\n\n## Learning Experience\n- Format: 8 interactive live sessions with vibe-coding labs, eval workshops, and peer feedback\n- Tools: Cursor, Replit, Bolt, LangGraph, Crew for agent development\n- Projects: Build AI agents for personal/team workflows, create evaluation systems, develop production implementation plans\n- Support: Dedicated Slack community, lifetime access to recordings, direct instructor feedback\n\n## Is This Course Right For You?\n✅ Consider this course if:\n- You understand AI concepts but struggle with practical implementation\n- You're transitioning to AI-focused PM roles as career differentiator\n- You're a product leader responsible for AI strategy and need practical frameworks\n- You want to master evaluation frameworks that top AI companies consider essential\n- You're ready for hands-on building vs. theoretical learning\n\n⚠️ This might not be for you if:\n- You're seeking theoretical knowledge without practical application\n- You're a complete AI beginner without basic concept familiarity\n- You want quick fixes without committing to structured evaluation processes\n- You prefer traditional coursework over intensive building sessions\n\n## Time & Commitment\n- Weekly commitment: 3-4 hours per week (2 hours live sessions + 1-2 hours projects)\n- Flexibility: Fixed schedule - Mondays and Wednesdays at 5PM PT\n- Total duration: 4 weeks intensive (7 total sessions)\n- Access: Lifetime access to recordings and materials\n\n## Investment & Returns\n- Cost structure: $1,899 with Maven Guarantee (full refund until halfway point)\n- Career impact: Portfolio of functional AI products, advanced evaluation frameworks, strategic AI leadership capabilities\n- ROI factors: Master the skills that CPOs at OpenAI and Anthropic identify as essential for AI product success\n- Network value: Connect with AI-focused PMs and build valuable professional relationships\n\n## Professional Recognition\n- Certificate of completion for LinkedIn and employer sharing\n- Portfolio of working AI agents and evaluation systems\n- Practical frameworks used by companies like Uber, Instacart, Discord, Reddit\n- Access to practitioner network in cutting-edge AI product development