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.

University of Michigan
Skills you'll gain: Debugging, Programming Principles, Python Programming, Computer Programming, Data Structures, Computer Graphics, Visualization (Computer Graphics)
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Regulatory Requirements, Lending and Underwriting, Compliance Management, Mortgage Loans, Commercial Lending, Credit Risk, Risk Management, Consumer Lending, Quality Control, AI Enablement, Decision Making, Predictive Analytics, Machine Learning, Artificial Intelligence
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Microsoft Power Platform, Microsoft Copilot, Prompt Engineering, Microsoft Power Automate/Flow, Power BI, Microsoft 365, Multimedia, Microsoft PowerPoint, Dashboard, Microsoft Excel, Excel Formulas, Data Visualization, No-Code Development, Spreadsheet Software, Microsoft Office, Power Apps Component Framework, Microsoft Outlook, Microsoft Word, Presentations, Data Analysis
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Programmable Logic Controllers, Electrical Wiring, Computational Logic, Control Systems, Automation, Simulation and Simulation Software, Human Machine Interfaces, Communication Systems, Applied Mathematics
Beginner · Course · 1 - 3 Months

Rice University
Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Probability, Bioinformatics, Interactive Design, Program Development, Big Data, Python Programming, Data Analysis, User Interface (UI), Machine Learning Algorithms, Theoretical Computer Science, Computer Programming
Beginner · Specialization · 3 - 6 Months
Skills you'll gain: Electronic Systems, Basic Electrical Systems, Electrical Engineering, Applied Mathematics, Hardware Design, Electronics, Electronic Components, Mathematical Modeling, Simulation and Simulation Software, Engineering Analysis, Analysis, High Voltage, Grant Applications
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Embeddings, Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Data Cleansing, Anomaly Detection, Vector Databases, LLM Application, System Monitoring, Verification And Validation, Data Quality, Legal Technology, Semantic Web, E-Commerce, Large Language Modeling, Data Validation, Benchmarking, Dimensionality Reduction, Performance Metric, Cost Reduction
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Generative AI, Generative Model Architectures, LLM Application, Prompt Engineering, ChatGPT, AI Enablement, AI Security, Cloud Development, AI Workflows, Data Ethics, Real Time Data, Large Language Modeling, Model Deployment, Cloud Computing Architecture, Artificial Intelligence, MLOps (Machine Learning Operations), Deep Learning, Scalability, System Monitoring
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Storytelling, Data Ethics, Data Analysis, Data-Driven Decision-Making, Analytics, Workflow Management, Business Analytics, Data Science, Advanced Analytics, Business Workflow Analysis, Project Management, Communication, Stakeholder Communications, Data Management, Professional Networking
Advanced · Course · 1 - 3 Months

Skills you'll gain: LangChain, LLM Application, Retrieval-Augmented Generation, OpenAI API, LangGraph, AI Workflows, Large Language Modeling, AI Orchestration, Responsible AI, Generative AI, Agentic systems, Prompt Engineering, Generative AI Agents, Natural Language Processing, Cloud Development, Application Programming Interface (API), Python Programming, Application Deployment, Data Processing, Pandas (Python Package)
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Convolutional Neural Networks, Responsible AI, Artificial Neural Networks, Data Ethics, Unsupervised Learning
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Goal Setting, Self-Awareness, Stress Management, Personal Development, Lifelong Learning, Empowerment, Optimism, Mindfulness, Mental Health
Beginner · Course · 1 - 4 Weeks