In conjunction with the University of Washington, Kence Anderson, CEO & Founder of Composabl, and Sarah Cohen, Head of Learning for Composabl, developed the on-demand Coursera course, Machine Teaching for Autonomous AI.
Learn how to break down complex business challenges into structured AI solutions. Just as a coach teaches a child to hit a baseball step by step, a subject matter expert (SME) guides AI by breaking processes into trainable skills. This course teaches you how to design an autonomous AI system without needing to implement neural networks or machine learning algorithms.
What You'll Learn:
- Extract SME knowledge to guide AI design
- Combine reinforcement learning, expert rules, and optimization techniques
- Build a modular AI brain to structure learning tasks
- Validate AI designs against existing problem-solving techniques
- Create detailed AI specifications for development
Course Breakdown:
- Defining Your AI – Establish the AI’s goals and rules, like setting up a game.
- Teaching Skills to AI – Identify key skills and extract them from SMEs.
- Organizing AI Skills – Structure skills using design patterns and orchestration frameworks.
- Putting It All Together – Integrate AI skills, avoid pitfalls, and refine designs through real-world case studies.
By the end of this course, you'll have a structured AI design plan, ready for development.
Take the next step in mastering autonomous AI with our individual courses:
