Overview
Learn to build successful AI applications with insights from Google and startup experience. This comprehensive course combines practical knowledge from both startup and big tech environments, designed specifically for product leaders looking to master AI product development in under 60 minutes.
Why This Course?
- Industry Experience: Real insights from Google Cloud’s Gemini and Archie AI
- Time-Efficient: Complete core content in under 60 minutes
- Practical Focus: Hands-on exercises with real-world applications
- Comprehensive Resources: Video lessons, slides, handbook, and open-source code
Course Content
1. AI Opportunity Landscape
- Understanding the $100B+ AI market opportunity
- Key differences in AI product development
- Success stories and case studies (GitHub Copilot, Glean, MidJourney)
- Data-centric approach to product development
2. Role for Product Leaders
- Identifying viable AI opportunities
- Analyzing use cases and unit economics
- Experience design principles for AI applications
- Managing user expectations and trust
3. Technical Foundation
- LLM basics and capabilities
- Prompt engineering techniques
- Vector databases and embeddings
- Advanced concepts (Agentic workflows, RAG)
4. Hands-on Development
- Building a Streamlit AI application
- Working with OpenAI and other APIs
- FastAPI implementation
- Deployment and scaling strategies
5. Product Readiness & Success Metrics
- Content safety and moderation
- Testing practices and quality assurance
- Performance monitoring and optimization
- Success metrics and KPI definition
Prerequisites
- Product or engineering management experience
- No coding experience required
- Basic understanding of product development lifecycle
- Python 3.11+ (for hands-on exercises)
Course Options
- Live Class: Interactive sessions with direct guidance
- Recorded Class: Self-paced learning (Coming Soon)
Support
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