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: NewStatus: Free TrialSkills you'll gain: Technical Design
Skills you'll gain: Workflow Management
Skills you'll gain: Responsible AI, Open Source Technology, Data Ethics, Google Cloud Platform, Artificial Intelligence, Machine Learning, Model Evaluation, Data Validation
Status: NewSkills you'll gain: Red Hat Enterprise Linux, Package and Software Management, Network Administration, Cloud Deployment
Status: NewStatus: Free TrialSkills you'll gain: Autodesk Maya, Cinematography, Post-Production, Virtual Environment, 3D Modeling, Computer Graphics, Visualization (Computer Graphics), Adobe Photoshop
Status: NewSkills you'll gain: 3D Modeling, Visualization (Computer Graphics), Animation and Game Design, Design Elements And Principles, Creative Design
Status: NewPearson
Skills you'll gain: Java Programming, Test Script Development, Program Development, Application Frameworks, Performance Tuning
Status: NewStatus: Free TrialSkills you'll gain: Video Game Development, Game Design, Animation and Game Design, C# (Programming Language), Object Oriented Programming (OOP), User Interface (UI), Prototyping, Debugging
Google Cloud
Skills you'll gain: Google Gemini, Marketing Analytics, Generative AI, Customer Analysis, Customer Insights, Big Data, Forecasting, Predictive Analytics, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML)
Google Cloud
Skills you'll gain: Google Gemini, Generative AI, Big Data, Customer Relationship Management, SQL, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Data Analysis
Clemson University
Skills you'll gain: Human Computer Interaction, MySQL, Large Language Modeling, Data Ethics, Generative AI, Graph Theory, Database Design, Software Development Methodologies, Databases, Usability, Relational Databases, Database Management Systems, Reinforcement Learning, Data Preprocessing, Data Science, Data Structures, Data Mining, Responsible AI, Engineering Software, Human Machine Interfaces
Status: NewStatus: PreviewSkills you'll gain: Predictive Modeling, Model Evaluation, Data Preprocessing, Predictive Analytics, Logistic Regression, Risk Modeling, Statistical Modeling, Feature Engineering, Regression Analysis, Correlation Analysis, Classification Algorithms, Data Manipulation, Scikit Learn (Machine Learning Library), Data Transformation, Pandas (Python Package), NumPy
In summary, here are 10 of our most popular applied machine learning courses
- Advanced Machinery Details & Shading Techniques: Packt
- UiPath Automation Explorer: UiPath
- Responsible AI for Developers: Fairness & Bias - 한국어: Google Cloud
- AlmaLinux Mastery – Free Path to Enterprise Linux: Packt
- Cinematic Lighting in Maya: Advanced Scenes & Projects: Skillshare
- Material Fundamentals - Procedural Textures in Blender 4.4: Packt
- Learn Reflection with Java: Pearson
- Brick Breaker Game Development with MonoGame: EDUCBA
- Gemini for Data Scientists and Analysts - 日本語版: Google Cloud
- Work with Gemini Models in BigQuery - 繁體中文: Google Cloud
