Harvard University - 5 FREE AI Courses!

1. CS50’s Introduction to Artificial Intelligence with Python | edX
   • graph search algorithms
   • adversarial search
   • knowledge representation
   • logical inference
   • probability theory
   • Bayesian networks
   • Markov models
   • constraint satisfaction
   • machine learning
   • reinforcement learning
   • neural networks
   • natural language processing
2. Fundamentals of TinyML | edX
   • Fundamentals of Machine Learning (ML)
   • Fundamentals of Deep Learning
   • How to gather data for ML
   • How to train and deploy ML models
   • Understanding embedded ML
   • Responsible AI Design
3. Applications of TinyML | edX
   • The code behind some of the most widely used applications of TinyML
   • Real-word industry applications of TinyML
   • Principles of Keyword Spotting
   • Principles of Visual Wake Words
   • Concept of Anomaly Detection
   • Principles of Dataset Engineering
   • Responsible AI Development
4. Deploying TinyML | edX
   • An understanding of the hardware of a microcontroller-based device
   • A review of the software behind a microcontroller-based device
   • How to program your own TinyML device
   • How to write your code for a microcontroller-based device
   • How to deploy your code to a microcontroller-based device
   • How to train a microcontroller-based device
   • Responsible AI Deployment
5. Data Science: Machine Learning | edX
   • The basics of machine learning
   • How to perform cross-validation to avoid overtraining
   • Several popular machine-learning algorithms
   • How to build a recommendation system
   • What is regularization and why it is useful?

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