You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
1.3 KiB
1.3 KiB
[Lesson Topic]
Add a sketchnote if possible/appropriate
Pre-lecture quiz
In this lesson, you will learn about some real-world applications in the field of Machine Learning that are of interest for their innovation. These topics include:
- Democratization of ML and AI
- Work in ensuring ethical management of model creation, maintenance and curation
- No-Code or Low-Code tooling improvements
- Advances in MLOps
- Concerns around Security
- Interesting Applications:
- Voice applications with NLP
- Chatbots
- IoT+ML and Edge Computing with ML
- Quantum AI
- Facial recognition applications
- Next-generation AI/ML: GPT-3
Preparation
Preparatory steps to start this lesson
[Step through content in blocks]
[Topic 1]
Task:
Work together to progressively enhance your codebase to build the project with shared code:
code blocks
✅ Knowledge Check - use this moment to stretch students' knowledge with open questions
[Topic 2]
[Topic 3]
🚀 Challenge: Add a challenge for students to work on collaboratively in class to enhance the project
Optional: add a screenshot of the completed lesson's UI if appropriate
Post-lecture quiz
Review & Self Study
Assignment: Assignment Name