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
Coursera
Skills you'll gain: Marketing Analytics, Web Analytics, Google Gemini, Marketing Strategies, AI Enablement, Data Storytelling, Data Analysis, User Flows, ChatGPT, Digital Media Strategy, Analytics, Data-Driven Decision-Making, Customer Analysis, Process Analysis, Performance Metric
Logical Operations
Skills you'll gain: Package and Software Management, Program Development, Python Programming, Integrated Development Environments, Software Development, Debugging, Computer Programming, Programming Principles
Skills you'll gain: Architectural Drawing, AutoCAD, Technical Drawing, Drafting and Engineering Design, Computer-Aided Design, Commercial Construction, Building Design, Architectural Design, Functional Design
Skills you'll gain: Responsible AI, Data Analysis, Data Preprocessing, Artificial Intelligence, Exploratory Data Analysis, Model Evaluation, Machine Learning, Technical Documentation, Data Validation
Google Cloud
Skills you'll gain: Google Cloud Platform, Apache, Cloud Management, System Monitoring, Virtual Machines, Event Monitoring, Web Servers, Cloud Infrastructure
Skills you'll gain: Unreal Engine, Virtual Environment, Post-Production, Game Design, 3D Assets, Adobe Photoshop, Conceptual Design, Design Elements And Principles, Creativity
Coursera
Skills you'll gain: JUnit, MLOps (Machine Learning Operations), CI/CD, Continuous Integration, Jenkins, Test Automation, Unit Testing, DevOps, Test Case, Debugging, Code Coverage, Model Evaluation, Data Pipelines, Test Data
Skills you'll gain: Matplotlib, Scientific Visualization, Visualization (Computer Graphics), Plot (Graphics), Statistical Visualization, Data Visualization Software, Scatter Plots, NumPy, Python Programming
Skills you'll gain: Data-Driven Decision-Making, Regression Analysis, Logistic Regression, Scatter Plots, Data Analysis, Predictive Analytics, Analytics, Business Analytics, Predictive Modeling, Minitab, Advanced Analytics, Statistical Modeling, Statistical Analysis, Statistical Hypothesis Testing, Correlation Analysis, Microsoft Excel, Model Evaluation
Skills you'll gain: Bootstrap (Front-End Framework), Web Applications, Web Development Tools, Microsoft Azure, Authentications, Authorization (Computing)
Skills you'll gain: Threat Modeling, Vulnerability Assessments, Blockchain, Application Security, Security Testing, Network Security, Data Security, Cryptography, Transaction Processing, Malware Protection, Command-Line Interface, Encryption, Key Management, Scripting, Network Protocols
Skills you'll gain: Usability, Hypertext Markup Language (HTML), Front-End Web Development, User Experience Design, Browser Compatibility, User Interface (UI), User Interface (UI) Design, Semantic Web, Javascript, Debugging, Web Applications, Web Development, Development Testing
In summary, here are 10 of our most popular applied machine learning courses
- Track & Optimize AI Traffic Flow:Â Coursera
- PCAP: Modules, Packages, and Exception Handling:Â Logical Operations
- Master Supermarket Layouts: Design & Draft in AutoCAD:Â EDUCBA
- Responsible AI for Developers: Interpretability & Transparency - Polski:Â Google Cloud
- Monitor an Apache Web Server using Ops Agent:Â Google Cloud
- Unreal Engine 5 - Sci-Fi Environment Design:Â Packt
- Test & Debug Java ML Pipelines:Â Coursera
- Advanced Data Visualization with Matplotlib Mastery:Â EDUCBA
- Regression & Logistic Models in Excel & Minitab:Â EDUCBA
- Redux, State Management, and Advanced React Concepts:Â Packt
