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.
Stanford University
Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking
Advanced · Course · 1 - 3 Months

University of Pennsylvania
Skills you'll gain: Machine Learning Methods, Generative AI, Data Management, Big Data, Applied Machine Learning, Generative Adversarial Networks (GANs), Machine Learning, AI Product Strategy, Artificial Intelligence and Machine Learning (AI/ML), Autoencoders, Deep Learning, Model Evaluation, Algorithms, Data Analysis, Process Improvement and Optimization, Artificial Neural Networks
Mixed · Course · 1 - 3 Months

Real Madrid Graduate School Universidad Europea
Skills you'll gain: Large Language Modeling, Image Analysis, Real Time Data, Computer Vision, Advanced Analytics, AI Enablement, Reinforcement Learning, Data Analysis, Data-Driven Decision-Making, Artificial Intelligence, Analysis, Machine Learning, Automation, Data Presentation, Natural Language Processing, Supervised Learning, Innovation
Beginner · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Health Informatics, Deep Learning, Health Information Management, Machine Learning, Health Care, Artificial Neural Networks, Applied Machine Learning, Supervised Learning, Model Evaluation, Unsupervised Learning, Convolutional Neural Networks, Program Development, Predictive Modeling
Advanced · Course · 1 - 4 Weeks
DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, AI Personalization, Responsible AI, Data Ethics, Education Software and Technology, AI Enablement, Digital pedagogy, Learning Management Systems, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Workflows, Deep Learning, Ethical Standards And Conduct, Information Privacy, Machine Learning, Context Management
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: R Programming, Predictive Analytics, Applied Machine Learning, Data-Driven Decision-Making, Analytics, Data Science, Feature Engineering, Data Preprocessing, Machine Learning, Telemarketing, Model Deployment
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Python Programming, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Convolutional Neural Networks, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Applied Machine Learning, Model Evaluation, Artificial Neural Networks, Deep Learning, Google Cloud Platform, Data Preprocessing, Feature Engineering, Classification Algorithms, Small Data, Cloud API
Advanced · Course · 1 - 3 Months

LearnQuest
Skills you'll gain: AI Workflows, Technical Communication, AI Enablement, Model Deployment, Generative AI Agents, Data Integration, AI Orchestration, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Agentic systems, Responsible AI, Artificial Intelligence, Cloud Computing, Deep Learning, Data Visualization, Python Programming, Machine Learning, Data Engineering, Anomaly Detection, Statistical Analysis
Beginner · Specialization · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability
Mixed · Course · 1 - 3 Months

Duke University
Skills you'll gain: Cloud Deployment, Technical Communication, Cloud Infrastructure, MLOps (Machine Learning Operations), Cloud-Native Computing, Cloud Applications, CI/CD, Cloud Platforms, Cloud Computing, Agile Software Development, DevOps, Technical Documentation, Software Engineering, Distributed Computing, Continuous Delivery, Applied Machine Learning, Cloud Storage, Cloud API, Google Cloud Platform, Machine Learning
Intermediate · Specialization · 3 - 6 Months