• Build Your First Brain
    • You'll begin this course by implementing a monolithic (one concept) brain.
      This week you'll setup your Bonsai workplace and train a brain. By the end of this week you'll be familiar with the Bonsai user interface, and learn how to read the assessment graphs that tell you how the brain is performing.
  • Industrial Strength Brains!
    • This week you're going to train a much more complex brain, something more like the kind of brains that you train for real industrial processes. These brains require decomposition of the task into skills, training or programming multiple skills, and experimentation to get the orchestration and the training right. Juan Vergera and John Alexander will guide you through the steps. You'll practice, and then you'll take a quiz that helps you determine whether you have a good understanding of the steps that you completed so you can do it again on other projects. 
  • Machine Teaching experimentation
    • Brain designs are like lesson plans that guide students, AI students, in their learning. Just like any teacher, after developing a Lesson plan and teaching it to a variety of students, will track how well different types of students learned different skills and concepts under different conditions and then modify that Lesson plan for the next set of students.
      Machine teachers design AI brains based on subject matter expertise that will guide your students’ learning. This is your original Lesson plan. But then based on how the brain learns, you'll modify that Lesson plan. You'll modify the brain design, so that it can learn even better next time. We call this machine teaching experimentation and that's the primary focus of this week. 
      Learning in autonomous AI brains takes place in layers. There's a teaching layer and a learning layer.  The teaching layer sets the structure of which skills the brain needs to learn. That's your brain design.  The learning layer is algorithms that learn by practice, neural networks, programming and math. Through this trial and error, the brain is built.
  • Simulations: Creating the Classroom for your brain
    • This week we're going to discuss the ins and outs of simulators. Why do we use simulators for autonomous AI to practice? What kinds of simulators do you need to understand and be familiar with in order to train autonomous AI and you will actually practice connecting a simulator to the project bonsai platform for training. 
  • Graduating to the Real World
    • This week you'll practice mining training logs, learning what's working in your training, what's not working in your training, and you're gonna use that information to update your training plans. 
      Your assessments will get more complex, too, from the automatic assessments in the platform to custom assessments that will analyze specific scenarios, even rare scenarios that are keeping your brain from succeeding well under all conditions.