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.

Politecnico di Milano
Skills you'll gain: Augmented and Virtual Reality (AR/VR), Digital pedagogy, Education Software and Technology, Augmented Reality, Virtual Environment, Virtual Reality, Innovation, Design Strategies, Emerging Technologies
Beginner · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Differentiated Instruction, Digital pedagogy, Collaborative Software, Education Software and Technology, digital literacy, Emerging Technologies, Innovation, Digital Communications
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Interactive Learning, Education Software and Technology, End User Training and Support
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Model Training, Predictive Modeling, Supervised Learning, Statistical Modeling, Data Analysis, Correlation Analysis, Predictive Analytics, Applied Machine Learning, Machine Learning Methods, Statistical Analysis, Data Preprocessing, Verification And Validation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Lifelong Learning, Curiosity, Willingness To Learn, Education Software and Technology, Adaptability, Growth Mindedness, Open Mindset, Professional Development, Constructive Feedback, Mental Concentration, Interactive Learning, Personal Development, Teaching, Self-Motivation, Psychology, Learning Strategies, AI Integrations
Beginner · Course · 1 - 3 Months

Commonwealth Education Trust
Skills you'll gain: Creative Thinking, Classroom Management, Teaching, Adaptability, Creativity, Education and Training, Pedagogy, Instructional Strategies, Professionalism, Instructing, Student Engagement, Rapport Building, Professional Development, Learning Theory, Collaboration, Planning
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Deep Learning, Tensorflow, Keras (Neural Network Library), Matplotlib, NumPy, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Pandas (Python Package), Machine Learning Methods, Data Science, Artificial Intelligence, Model Optimization, Data Preprocessing, Model Training, Machine Learning, Network Model, Data Manipulation, Model Evaluation
Beginner · Course · 3 - 6 Months

Politecnico di Milano
Skills you'll gain: Blended Learning, Pedagogy, Large Language Modeling, Teaching, Digital pedagogy, LLM Application, Instructional Design, Instructional and Curriculum Design, Student Engagement, Learning Strategies, Education Software and Technology, Interactive Learning, Lesson Planning, Educational Materials, AI Personalization, Innovation, Student-Centred Learning, Curriculum Planning, Differentiated Instruction, Artificial Intelligence
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Reinforcement Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Model Optimization, Fine-tuning, Agentic systems, Artificial Neural Networks, Machine Learning, Model Training, Machine Learning Algorithms, Data Analysis
Advanced · Course · 1 - 3 Months

H2O.ai
Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Generative AI Agents, Agentic Workflows, Document Management, Generative AI, Web Applications, Artificial Intelligence, Data Processing, Agentic systems, Application Programming Interface (API), Process Optimization, Automation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Apache Spark, PyTorch (Machine Learning Library), Large Language Modeling, Retrieval-Augmented Generation, Computer Vision, Unsupervised Learning, Generative Model Architectures, Prompt Patterns, Generative AI, PySpark, Keras (Neural Network Library), Supervised Learning, LLM Application, Generative AI Agents, Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months
University of Glasgow
Skills you'll gain: Autoencoders, Deep Learning, Model Evaluation, Recurrent Neural Networks (RNNs), Machine Learning, Applied Machine Learning, Responsible AI, Convolutional Neural Networks, Software Visualization, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks