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.

Universidad Nacional Autónoma de México
Skills you'll gain: Bayesian Network, Computational Logic, Program Development, Artificial Intelligence, Markov Model, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Computational Thinking, Creativity, Theoretical Computer Science, Logical Reasoning, Software Development, Generative AI, Deductive Reasoning, Applied Machine Learning, Responsible AI, Data Ethics, Social Sciences, Bioinformatics, Machine Learning
Intermediate · Specialization · 3 - 6 Months

Microsoft
Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Azure DevOps, Generative AI, Microsoft Azure, Model Deployment, AI Workflows, CI/CD, Version Control, Data Ethics, Artificial Intelligence, Model Evaluation, Git (Version Control System), Automation, System Monitoring, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Unified Modeling Language, JSON, Object Oriented Programming (OOP), File I/O, Software Design, Debugging, Object Oriented Design, Data Processing, Web Scraping, Unit Testing, Programming Principles, Program Development, Python Programming, Data Import/Export, Restful API, Image Analysis, Data Manipulation, Jupyter, Computer Programming, Data Structures
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Engineering, Data Manipulation, Data Warehousing, Cloud Development, SQL, Data Pipelines, Extract, Transform, Load, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC), Stored Procedure, Data Storage, Database Management, Generative AI, Data Science, Data Import/Export, Machine Learning
Beginner · Course · 1 - 4 Weeks

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

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

Skills you'll gain: Anomaly Detection, MLOps (Machine Learning Operations), AI Security, Software Engineering, DevOps, CI/CD, Model Deployment, Performance Tuning, Model Evaluation, Secure Coding, Continuous Monitoring, Integration Testing, Data Validation, Sampling (Statistics), Statistical Methods, Python Programming
Intermediate · Course · 1 - 3 Months

Skills you'll gain: MySQL, Database Management, Database Administration, Data Warehousing, Linux Commands, Data Integrity, Unit Testing, Algorithms, Software Versioning, Command-Line Interface, Software Visualization, Linux, Pseudocode, Query Languages, Collaborative Software, Django (Web Framework), Database Architecture and Administration, Programming Principles, Computational Thinking, Test Driven Development (TDD)
Beginner · Professional Certificate · 3 - 6 Months

University of Minnesota
Skills you'll gain: Performance Management, Performance Appraisal, Performance Review, Compensation Management, Compensation Strategy, Compensation and Benefits, Constructive Feedback, Workforce Planning, Human Resource Strategy, Human Resources, Employee Onboarding, Recruitment, Employee Performance Management, Recruitment Strategies, Human Capital, Full Cycle Recruitment, Talent Acquisition, Human Resources Management and Planning, Compensation Analysis, People Management
Beginner · Specialization · 3 - 6 Months

Pragmatic AI Labs
Skills you'll gain: Databricks, Role-Based Access Control (RBAC), MLOps (Machine Learning Operations), Data Lakes, Data Governance, GitHub, Model Deployment, Data Management, CI/CD, Data Quality, Git (Version Control System), Continuous Integration, Data Engineering, Continuous Monitoring, Python Programming, Command-Line Interface
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Data Pipelines, Apache Airflow, MLOps (Machine Learning Operations), Data Preprocessing, Service Level, Model Evaluation, Real Time Data, Data Store, Data Transformation, Data Validation, Key Performance Indicators (KPIs)
Intermediate · Course · 1 - 4 Weeks

University of London
Skills you'll gain: Applied Mathematics, Trigonometry, Mathematics and Mathematical Modeling, Graphing, Calculus, Computer Science, Mathematical Theory & Analysis, Geometry, Mechanics, Computer Graphics, Graph Theory, Mathematical Modeling, Functional Requirement, Physics, Graphic Design, Derivatives
Beginner · Course · 1 - 4 Weeks