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.

Imperial College London
Skills you'll gain: Health Systems, Health Policy, Health Assessment, Public Health, Health Care, Health Disparities, Health Promotion, Social Determinants Of Health, Health Care Administration, Primary Care
Beginner · Course · 1 - 4 Weeks

Fractal Analytics
Skills you'll gain: Vector Databases, Responsible AI, Data Strategy, Data Ethics, Data Management, Data Architecture, Data Security, Generative AI, AI Security, Generative AI Agents, Data Governance, Retrieval-Augmented Generation, Interoperability, Data Store, AI Workflows, Enterprise Architecture, AI Enablement, Metadata Management, Data Pipelines, Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Specialization · 1 - 3 Months

Dassault Systèmes
Skills you'll gain: Computer-Aided Design, Technical Design, 3D Modeling, Design Elements And Principles, Mechanical Engineering
Beginner · Course · 1 - 4 Weeks

University of California, Davis
Skills you'll gain: Digital Transformation, Innovation, Responsible AI, Digital Communications, Machine Learning, Data Ethics, Business Transformation, Blockchain, Emerging Technologies, Social Impact, Technology Strategies, Data Storage, AI Enablement, Artificial Intelligence, Digital Assets, Fundraising and Crowdsourcing, Technology Solutions, Business Ethics, Artificial Neural Networks, Generative AI
Beginner · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Generative AI, Large Language Modeling, Responsible AI, Unstructured Data, Artificial Intelligence and Machine Learning (AI/ML), AI Security, Deep Learning, Data Ethics, Machine Learning, Business Solutions, Data Access, Data Quality
Beginner · Course · 1 - 4 Weeks

Microsoft
Skills you'll gain: Microsoft Azure, Virtual Machines, Scalability, Cloud Computing, Cloud Services, Infrastructure As A Service (IaaS), Cloud Infrastructure, Virtual Networking, Kubernetes, Cloud Security, Network Security, Network Routing, Load Balancing, Application Deployment, Operating System Administration, Identity and Access Management, Security Information and Event Management (SIEM)
Beginner · Course · 1 - 4 Weeks
McMaster University
Skills you'll gain: Peer Review, Project Documentation, Finance, Stakeholder Engagement, Portfolio Management, Constructive Feedback, Financial Analysis, Financial Planning, Project Implementation, Presentations, Action Oriented
Mixed · Course · 1 - 3 Months

Harvard Business Review
Skills you'll gain: Presentations, Conflict Management, Delegation Skills, Influencing, Constructive Feedback, Data Storytelling, Emotional Intelligence, Trustworthiness, Diversity and Inclusion, Team Leadership, Team Building, Verbal Communication Skills, Professional Networking, Negotiation, Persuasive Communication, Overcoming Objections, Public Speaking, Leadership Development, Leadership, Communication Strategies
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Model Evaluation, Applied Machine Learning, Google Cloud Platform, Image Analysis, Cloud Computing, Cloud Storage, Predictive Modeling, Data Import/Export
Intermediate · Project · Less Than 2 Hours
Codio
Skills you'll gain: Infrastructure as Code (IaC), Terraform, Docker (Software), Kubernetes, Ansible, Containerization, Ubuntu, Cloud Infrastructure, Cloud Management, Cloud-Native Computing, Cloud Computing Architecture, Systems Development, Application Deployment, Firewall, Infrastructure As A Service (IaaS), Security Controls, Unix, Bash (Scripting Language), Amazon Web Services, Amazon Elastic Compute Cloud
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Electronics, Electronics Engineering, Hardware Design, Electrical Engineering, Schematic Diagrams, Electronic Components, Electronic Systems, Computer-Aided Design, Design Software, Engineering Documentation, Open Source Technology, electromagnetics, Software Installation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Descriptive Statistics, Model Evaluation, Feature Engineering, Probability & Statistics, Supervised Learning, Statistical Hypothesis Testing, Exploratory Data Analysis, Box Plots, Regression Analysis, Statistics, Predictive Modeling, Time Series Analysis and Forecasting, Data Science, Histogram, Data Visualization, Statistical Analysis, Integrated Development Environments, Computer Networking, Python Programming, Server Side
Beginner · Specialization · 3 - 6 Months