Key Concepts: Explain the key concepts in AI and ML that were employed in the case study.
Instructor will present an Architectural Roadmap of the AI Application
Live Coding Session: We will build a scale scale prototype of Deep Brew to see it in action.
Group Activity: Divide students into small groups and assign each group a different problem statement. Allow them some time to brainstorm and come up with possible AI/ML solutions. This not only promotes teamwork but also encourages them to think critically about how to apply the concepts they've learned.
Hands-On Lab: Provide a hands-on lab exercise that complements your live coding session. For instance, the students could improve the model you built, or they could try implementing it in a different context. Make sure to have a shared environment like Google Colab or Jupyter notebook for this.
Quick Quiz/Challenge: Towards the end, you could conduct a quick quiz or challenge related to the day's topic. This will test the students' understanding and also make the session more engaging.
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