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.

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

SkillUp
Skills you'll gain: Clinical Informatics, Clinical Research, Artificial Intelligence, MLOps (Machine Learning Operations), Health Informatics, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Data Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control
Intermediate · Course · 1 - 4 Weeks

University of London
Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Storytelling, Data Presentation, Customer Analysis, Customer Retention, Marketing Analytics, Customer Insights, Strategic Decision-Making, Product Strategy, Data Analysis, Product Management, Data-Driven Decision-Making, Advanced Analytics, Unsupervised Learning, Applied Machine Learning, Technical Documentation, Performance Measurement, Data Preprocessing, Machine Learning Algorithms
Intermediate · Course · 1 - 4 Weeks

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
Alberta Machine Intelligence Institute
Skills you'll gain: Generative AI Agents, Generative AI, Generative Model Architectures, LangChain, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Prompt Engineering, Google Cloud Platform, PyTorch (Machine Learning Library), System Monitoring, Embeddings, Deep Learning, Transfer Learning, Model Evaluation, Development Environment, Natural Language Processing, Vector Databases
Intermediate · Course · 1 - 4 Weeks

LearnQuest
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Microsoft Azure, Python Programming, Machine Learning, Machine Learning Algorithms, Data Science, Image Analysis, Computer Vision, Natural Language Processing, Application Programming Interface (API)
Advanced · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Generative AI, Artificial Intelligence, Technical Design, Machine Learning, Data-Driven Decision-Making, Deep Learning, Applied Machine Learning, Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Artificial Intelligence, Image Analysis, AWS SageMaker, Responsible AI, Natural Language Processing, Generative AI, Machine Learning, Prompt Engineering, Amazon Web Services, Model Deployment, OpenAI, Amazon Bedrock, Robotic Process Automation, Cloud Deployment, Customer experience improvement, ChatGPT, Data Science, Machine Learning Methods
Beginner · Specialization · 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
University of Maryland, College Park
Skills you'll gain: AI Personalization, Responsible AI, Deep Learning, Forecasting, Business Leadership, Risk Management, Business Analytics, Machine Learning, Analytics, Artificial Intelligence, Marketing Analytics, Applied Machine Learning, Customer Analysis, Supply Chain Management, Data-Driven Decision-Making, Big Data, People Analytics
Intermediate · Course · 1 - 3 Months