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: Free TrialSkills you'll gain: Power BI, Dashboard, Interactive Data Visualization, Data Analysis Expressions (DAX), Business Reporting, Data Governance, Data Modeling, Data Transformation, Data Management, Data Manipulation, Role-Based Access Control (RBAC), Data Security, Data Cleansing
Status: Free TrialSkills you'll gain: GitHub, Jenkins, Git (Version Control System), Version Control, Selenium (Software), CI/CD, Test Automation, JUnit, Test Data, Unit Testing, Test Case, Software Testing, Regression Testing, Debugging
Coursera
Skills you'll gain: Jupyter, Microsoft Excel, Spreadsheet Software, Project Schedules, Data Import/Export, Data Visualization Software, Python Programming, Email Automation, Data Literacy, Data Structures, Data Manipulation
Status: PreviewSimplilearn
Skills you'll gain: Microsoft Excel, Data Validation, Excel Formulas, Spreadsheet Software, Data Quality, Pivot Tables And Charts, Data Cleansing, Project Management, Data Visualization, Timelines, Data Presentation, Graphing
Status: Free TrialSkills you'll gain: Event-Driven Programming, Javascript, Web Development Tools, Application Programming Interface (API), Game Design, Restful API, Software Development
Status: Free TrialSkills you'll gain: Object Oriented Programming (OOP), Object Oriented Design, Python Programming, Computer Programming, Programming Principles, Debugging, Software Design Patterns, Functional Design, Computational Thinking, Algorithms, Data Structures
Skills you'll gain: Ideation, Prompt Engineering, Storytelling, Brainstorming, ChatGPT, Creativity, Learning Strategies, Generative AI, Responsible AI, Game Design, Storyboarding, Artificial Intelligence, Content Creation, Writing
Status: Free TrialSkills you'll gain: Mathematical Software, Software Installation, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Trigonometry, Programming Principles, Data Manipulation, Engineering Calculations, Linear Algebra, Data Management
Status: PreviewBoard Infinity
Skills you'll gain: DeepSeek API, Deepseek, Retrieval-Augmented Generation, Model Deployment, AI Enablement, Make.com, Generative Model Architectures, LLM Application, Cloud Deployment, Embeddings, Software Documentation, Unit Testing, Key Management
Skills you'll gain: Cloud Storage, File Management, Cloud Computing, Data Storage, Google Cloud Platform, Public Cloud, Python Programming
Status: Free TrialSkills you'll gain: Looker (Software), Pivot Tables And Charts, Dashboard, Data Modeling, Exploratory Data Analysis, Data Analysis, Query Languages
Status: NewStatus: Free TrialSkills you'll gain: Debugging, Program Development, Data Structures, Python Programming, Scripting, Programming Principles, Computer Programming, Scripting Languages
Searches related to applied machine learning
In summary, here are 10 of our most popular applied machine learning courses
- Power BI: Data Secure, Governance, and Workspace Management:Â Whizlabs
- Advanced Automation Frameworks and Continuous Integration:Â Packt
- Use Python for Non-Data Role:Â Coursera
- Data Validation in Excel for Beginners:Â Simplilearn
- API Basics 3: Build a Game (Async JS, Callbacks & Promises):Â Scrimba
- Mastering Python Programming: Apply, Analyze, and Build:Â EDUCBA
- ChatGPT for Creatives:Â Packt
- GNU Octave: Apply, Implement & Design Functions:Â EDUCBA
- Mastering DeepSeek: From Architecture to Application:Â Board Infinity
- Using gsutil to Perform Operations on Buckets and Objects:Â Google Cloud
