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.

Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Model Optimization, Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Fine-tuning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Image Analysis, Model Training, Machine Learning Methods, Applied Machine Learning, Natural Language Processing
Intermediate · Course · 1 - 3 Months

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

Skills you'll gain: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Jupyter, Model Optimization, Predictive Modeling, Model Training, Machine Learning, Model Evaluation, Data Transformation
Mixed · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Generative AI, Tensorflow, Autoencoders, Generative Model Architectures, Bayesian Network, Deep Learning, Image Analysis, Bayesian Statistics, Model Optimization, Probability Distribution, Model Training, Sampling (Statistics), Data Transformation
Advanced · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Model Optimization, Statistical Modeling, Probability, Probability & Statistics, Machine Learning Methods, Statistical Methods, Machine Learning Algorithms, Bayesian Statistics, Probability Distribution, Machine Learning, Applied Mathematics, Statistical Inference, Verification And Validation, Dimensionality Reduction, Algebra
Mixed · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Deep Learning, Generative AI, Generative Model Architectures, Applied Machine Learning, Machine Learning Methods, Graph Theory, Network Analysis, Artificial Neural Networks, Network Model, Health Informatics, Laboratory Experience, Autoencoders, Predictive Modeling, Unsupervised Learning, Data Synthesis
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Transfer Learning, Model Optimization, Recurrent Neural Networks (RNNs), Fine-tuning, Image Analysis, Generative Adversarial Networks (GANs), Model Training, Computer Vision, Natural Language Processing, Scalability, Reinforcement Learning, Distributed Computing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Transfer Learning, Keras (Neural Network Library), Fine-tuning, Deep Learning, Applied Machine Learning, Tensorflow, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Machine Learning Methods, Model Optimization, Model Training
Advanced · Course · 1 - 4 Weeks

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

University of Michigan
Skills you'll gain: AI Personalization, Generative AI, AI powered creativity, Education Software and Technology, Instructional Design, AI Integrations, Design Strategies, Content Creation, Emerging Technologies, Professional Development
Beginner · Course · 1 - 4 Weeks
University of Glasgow
Skills you'll gain: Model Evaluation, Deep Learning, Descriptive Analytics, Data Ethics, Data Preprocessing, ICD Coding (ICD-9/ICD-10), Federated Learning, Autoencoders, Health Informatics, Medical Records, Data Mining, Medical Coding, Responsible AI, AI Security, Electronic Medical Record, Predictive Modeling, Patient Flow, Predictive Analytics, Medical Privacy, Machine Learning
Intermediate · Specialization · 3 - 6 Months

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