What you’ll learn
- Understand Python fundamentals to collaborate effectively with AI and engineering teams.
- Learn how machine learning models work and how to frame ML use cases for product strategy.
- Evaluate model performance using practical metrics like accuracy
- precision
- and recall.
- Explore the architecture
- use cases
- and ethics of AI agents across industries.
- Gain hands-on experience with AI agent tools like AutoGPT
- LangGraph
- and CrewAI.
- Build and publish your own GPT-powered applications to the ᑕᕼᗩTGᑭT Store.
Requirements
- Curiosity about AI
- product strategy
- and emerging technologies
- Basic familiarity with how digital products are built or managed
- Comfort using a computer and navigating web tools
- Willingness to experiment with Python code (we guide you step-by-step!)
- A modern computer with internet access for running notebooks and trying out tools
- Optional: Experience working on product teams or collaborating with developers (but not required)
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