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
Skills you'll gain: Test Driven Development (TDD), Unit Testing, Testability, Functional Testing, Test Case, Software Testing, Python Programming, File I/O, File Systems
Status: PreviewGoogle Cloud
Skills you'll gain: Image Analysis, Deep Learning, Convolutional Neural Networks, Model Evaluation, Recurrent Neural Networks (RNNs)
Skills you'll gain: Tensorflow, Data Preprocessing, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Data Pipelines, Data Transformation, Deep Learning, Artificial Neural Networks, Model Evaluation, Supervised Learning
Status: Free TrialSkills you'll gain: Unit Testing, Test Case, Test Driven Development (TDD), Debugging, Software Testing, Development Testing, Test Automation, Test Tools, Quality Assurance
Status: NewStatus: PreviewSkills you'll gain: Object Oriented Programming (OOP), Java Programming, File I/O, Application Development, Computer Programming, User Interface (UI), Programming Principles, Databases, System Design and Implementation, Integrated Development Environments, SQL, Data Validation
Status: NewStatus: Free TrialSkillshare
Skills you'll gain: Typography, Graphic Design, Layout Design, Visual Design, Design Elements And Principles, Design Strategies
Status: NewStatus: PreviewBoard Infinity
Skills you'll gain: Deepseek, DeepSeek API, LangChain, LLM Application, Generative AI Agents, Model Evaluation, Application Programming Interface (API), Text Mining
Status: Free TrialSkills you'll gain: IT Security Architecture, Network Security, Infrastructure Security, Software-Defined Networking, Application Security, Zero Trust Network Access, Network Architecture, Threat Modeling, Cybersecurity, Enterprise Architecture, Secure Coding, Cloud Security, Scenario Testing, Cryptography, Vulnerability Assessments
Status: Free TrialUniversity of Michigan
Skills you'll gain: Data Manipulation, Data Preprocessing, Data Analysis, Python Programming
Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, Data Presentation, Exploratory Data Analysis, Vector Databases, Data Mapping, Data Access
Status: PreviewSkills you'll gain: React.js, UI Components, JavaScript Frameworks, Web Development Tools, Maintainability, Javascript, Programming Principles
Status: Free TrialL&T EduTech
Skills you'll gain: Construction, Hydrology, Hydraulics, Water Resource Management, Civil Engineering, Water Quality, Environmental Engineering, Electrical Power, Structural Engineering, Geospatial Information and Technology, Engineering Analysis, Sustainable Technologies
In summary, here are 10 of our most popular applied machine learning courses
- Use Python Unit Test to Demonstrate TDD: Coursera
- Create Image Captioning Models - בעברית: Google Cloud
- Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano: Google Cloud
- Beginner's Guide to Unit Testing: Scrimba
- Java Programming Masterclass: EDUCBA
- Graphic Design Theory - Hierarchy: Skillshare
- AI Development with DeepSeek for Developers: Board Infinity
- Advanced Security Architecture: Packt
- Python Debugging Capstone Project: Fixing and Extending Code: University of Michigan
- ArcGIS Desktop for Spatial Analysis: Go from Basic to Pro: Packt
