Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.

University of Illinois Urbana-Champaign
Skills you'll gain: Education Software and Technology, Digital pedagogy, Instructional Strategies, Computer Science, Interactive Design, Emerging Technologies, Collaborative Software, Artificial Intelligence, Innovation
Mixed · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Course Development, Instructional Design, Learning Theory, Brainstorming, Design, Needs Assessment, Motivational Skills, Prototyping, Creative Thinking, Student-Centred Learning, Analysis, Communication
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Education Software and Technology, Digital pedagogy
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Education Software and Technology, Digital pedagogy, Content Management
Beginner · Guided Project · Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Self-Awareness, Teaching, Empathy & Emotional Intelligence, Growth Mindedness, Persistence, Relationship Building
Advanced · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Data Preprocessing, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Feature Engineering, Property and Real Estate, Predictive Modeling, Data Cleansing, Data Manipulation, Machine Learning, Real Estate, Regression Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Data Processing, Network Architecture, Feature Engineering, Model Evaluation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Convolutional Neural Networks, Deep Learning, Amazon Elastic Compute Cloud, Transfer Learning, Image Analysis, Amazon Web Services, Artificial Neural Networks, Keras (Neural Network Library), Model Deployment, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Data Preprocessing, Classification Algorithms, Application Development, Python Programming, Network Architecture
Beginner · Specialization · 1 - 3 Months

University of Michigan
Skills you'll gain: Generative AI, Prompt Engineering, Instructional Design, Design Strategies, Content Creation, Creative Design, Emerging Technologies, Professional Development
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Wireless Networks, Control Systems, Interactive Design, Software Installation, Electronics, Display Devices, Embedded Systems, Electronic Components, Computer Programming Tools, Development Environment, Electrical Wiring, Programming Principles, Debugging
Beginner · Course · 1 - 3 Months

Skills you'll gain: Transfer Learning, Tensorflow, Natural Language Processing, Keras (Neural Network Library), Embeddings, Deep Learning, Classification Algorithms, Model Evaluation, Machine Learning, Software Visualization
Intermediate · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Google Gemini, Gemini, AI Security, Cloud Deployment, Customer Insights, Customer Analysis, Kubernetes, Generative AI, Customer Data Management, Big Data, Google Cloud Platform, Test Script Development, Software Development Life Cycle, Cloud Security, Development Testing, Virtual Networking, Application Deployment, DevOps, Application Development, Security Engineering
Intermediate · Specialization · 1 - 3 Months