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: Responsible AI, Anomaly Detection, Microsoft Azure, Data Ethics, AI Workflows, Artificial Intelligence, Image Analysis, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, AI literacy, Machine Learning
★ 4.5 (1.1K) · Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Prompt Engineering, Prompt Patterns, Large Language Modeling, AI literacy, LLM Application, Content Creation
★ 4.8 (2.5K) · Beginner · Course · 1 - 4 Weeks

Arizona State University
Skills you'll gain: Oral Comprehension, English Language, Vocabulary, Language Learning, Grammar
Beginner · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Text Mining, Data Mining, Unstructured Data, Statistical Analysis, Natural Language Processing, Data-Driven Decision-Making, Analytics, Data Analysis, Statistical Machine Learning, Statistical Methods, Unsupervised Learning, Probability & Statistics, Correlation Analysis, Applied Machine Learning, Probability Distribution, Classification Algorithms, Model Optimization, Generative Model Architectures
★ 4.5 (741) · Mixed · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Model Training, Tensorflow, Image Analysis, Artificial Neural Networks, Applied Machine Learning, Network Model, Deep Learning, Computer Vision, Machine Learning, Network Architecture
★ 4.6 (848) · Beginner · Guided Project · Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Reinforcement Learning, Computational Logic, Responsible AI, AI Workflows, Machine Learning Methods, Model Optimization, Agentic systems, Machine Learning, Theoretical Computer Science, Model Evaluation, Continuous Monitoring, Functional Specification, Markov Model, Verification And Validation, Safety and Security
Intermediate · Course · 1 - 3 Months

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

Skills you'll gain: Dashboard Creation, Dashboard, Web Scraping, Data Analysis, Data Presentation, Analytical Skills, Data Visualization Software, Graphing, Pandas (Python Package), Data Science, Jupyter, Python Programming, Data Collection
★ 4.5 (4.9K) · Intermediate · Course · 1 - 4 Weeks

Northwestern University
Skills you'll gain: Robotics, Machine Controls, Control Systems, Mathematical Modeling, Mathematical Software, Simulation and Simulation Software, Engineering, Mechanics, Mechanical Engineering, Applied Mathematics, Numerical Analysis, Simulations, Process Control, Virtual Environment, Torque (Physics), Graph Theory, Matlab, Algorithms, Engineering Calculations, Physics
★ 4.7 (1.3K) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Presentation, Interactive Data Visualization, Analytics, Business Analytics, Data Wrangling, AI Personalization, Artificial Intelligence, Model Evaluation, Performance Analysis, AI literacy, Generative AI, Simulation and Simulation Software, Productivity Software, Google Workspace
★ 4.7 (773) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Agentic Workflows, AI Orchestration, Model Context Protocol, Generative AI Agents, Agentic systems, Context Engineering, Prompt Engineering, LLM Application, LangChain, ChatGPT, Tool Calling, AI Integrations, Retrieval-Augmented Generation, Context Management, Software Architecture, Deep Learning, Interoperability, Software Design Patterns
Intermediate · Course · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Data Quality, Data Manipulation, Image Analysis, Data Pipelines, Dataflow, Applied Machine Learning, Data Preprocessing, Model Training, Model Optimization, AI Workflows, Model Evaluation, Machine Learning
★ 4.8 (104) · Intermediate · Course · 1 - 4 Weeks