Applied Machine Learning Courses
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.
Popular Applied Machine Learning Courses and Certifications
Status: PreviewÉcole Polytechnique Fédérale de Lausanne
Skills you'll gain: Numerical Analysis, Engineering Analysis, Engineering Calculations, Differential Equations, Matlab, Applied Mathematics, Calculus, Linear Algebra, Mathematical Modeling, Integral Calculus, Mathematical Theory & Analysis, Advanced Mathematics, Estimation, Algorithms, Derivatives
Status: Free TrialUniversity of California San Diego
Skills you'll gain: Bioinformatics, Molecular Biology, Microbiology, Infectious Diseases, Biotechnology, Computational Thinking, Algorithms, Python Programming
Status: Free TrialGoogle Cloud
Skills you'll gain: Google Gemini, Google Workspace, Gemini, Responsible AI, Generative AI
Status: Free TrialUniversity of California, Irvine
Skills you'll gain: Education Software and Technology, Learning Management Systems, Collaborative Software, Digital pedagogy, Teaching, Augmented Reality, Game Design, Virtual Environment, Emerging Technologies, Technology Strategies, Information Privacy, Social Media
Status: Free TrialSkills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Autoencoders, Deep Learning, Convolutional Neural Networks, Tensorflow, Unsupervised Learning, Dimensionality Reduction, Model Evaluation
Status: Free TrialCalifornia Institute of the Arts
Skills you'll gain: Graphic Design, Graphic and Visual Design, Art History, Design, Logo Design, Design Strategies, Visual Design, Typography, Branding, Design Elements And Principles, Advertising, Aesthetics, Brand Marketing, Creativity, Culture
Status: Free TrialSkills you'll gain: Productivity Software, Presentations, Microsoft PowerPoint, Collaborative Software, Microsoft 365, Editing, File Management
Status: Free TrialSkills you'll gain: Serverless Computing, Digital Transformation, Application Programming Interface (API), Business Transformation, Hybrid Cloud Computing, Cloud Infrastructure, Google Cloud Platform, Containerization, Multi-Cloud, Cloud Computing, Cloud Deployment, Kubernetes, Application Development, Virtual Machines
Status: Free TrialSkills you'll gain: Probability, Linear Algebra, Probability & Statistics, Statistics, Mathematical Theory & Analysis, Computational Logic, Applied Mathematics, Advanced Mathematics, Computer Science, Algebra, Physics
Status: Free TrialUniversity of Pennsylvania
Skills you'll gain: Feature Engineering, Unsupervised Learning, Model Evaluation, Predictive Modeling, Predictive Analytics, Decision Tree Learning, Classification And Regression Tree (CART), Supervised Learning, Forecasting, Machine Learning Methods, Random Forest Algorithm, Analytics, Statistical Modeling, Regression Analysis, Machine Learning, Logistic Regression, Python Programming
Status: Free TrialKennesaw State University
Skills you'll gain: Six Sigma Methodology, Process Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Lean Six Sigma, Kaizen Methodology, Quality Improvement, Regression Analysis, Statistical Process Controls, Continuous Improvement Process, Process Capability, Project Management, Quality Management, Cost Benefit Analysis, Statistical Inference, Document Control
Status: Free TrialTecnológico de Monterrey
Skills you'll gain: Problem Solving, Digital pedagogy, Instructional Design, digital literacy, Educational Materials, Emerging Technologies, Innovation, Resourcefulness, Learning Strategies, Creative Thinking
In summary, here are 10 of our most popular applied machine learning courses
- Analyse numérique pour ingénieurs: École Polytechnique Fédérale de Lausanne
- Genome Sequencing (Bioinformatics II): University of California San Diego
- Introduction to Google Workspace with Gemini: Google Cloud
- Emerging Trends & Technologies in the Virtual K-12 Classroom: University of California, Irvine
- Introduction Course to Autoencoders, VAEs, and GANs: Simplilearn
- Ideas from the History of Graphic Design: California Institute of the Arts
- Get Started with Presentation Applications: PowerPoint: SkillUp
- Modernize Infrastructure and Applications with Google Cloud: Google Cloud
- Mathematical Foundations and Quantum Mechanics Essentials: Packt
- Intro to Predictive Analytics Using Python: University of Pennsylvania
