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: 3D Modeling, Animations, 3D Assets, Computer Graphics, User Interface (UI), Scripting
Status: NewStatus: PreviewSkills you'll gain: Financial Modeling, Business Valuation, Revenue Forecasting, Working Capital, Cash Flows, Financial Statement Analysis, Financial Analysis, Financial Data, Financial Forecasting, Business Modeling, Balance Sheet, Capital Expenditure, Corporate Finance, Cash Flow Forecasting, Income Statement
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: Technical Documentation, Brute-force attacks, Information Systems Security, Cybersecurity, Virtual Machines, Virtual Environment, Network Analysis
Status: Free TrialSkills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics
Status: NewStatus: Free TrialSkills you'll gain: Data Governance, General Data Protection Regulation (GDPR), Data Management, Data Strategy, Metadata Management, Data Architecture, Compliance Management, Data Storage Technologies, Data Integration, Cost Reduction, Data Maintenance, Data Processing, Information Privacy, Data Storage, MLOps (Machine Learning Operations), Data Quality, AI Enablement, Analytics, Extract, Transform, Load, Expense Management
Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Google Cloud Platform, Governance, AI Product Strategy, Business Ethics, Ethical Standards And Conduct, Data Governance
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Feature Engineering, Model Deployment, Data Modeling, Data Storage, Data Processing, Data Management
Status: Free TrialSkills you'll gain: Apache, Web Servers, Authentications, Application Servers, Server Side, Secure Coding, Web Applications, Application Security, Restful API, Servers, Back-End Web Development, Javascript
Status: NewStatus: Free TrialCoursera
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
Status: Free TrialSkills you'll gain: Oracle Databases, Performance Tuning, Database Architecture and Administration, Database Administration, Cloud Storage, Cloud Services, Disaster Recovery, Debugging, Encryption
Status: NewStatus: Free TrialSkills you'll gain: Cascading Style Sheets (CSS), HTML and CSS, Responsive Web Design, Web Design, User Interface (UI), Animations, Browser Compatibility, Maintainability, Typography
In summary, here are 10 of our most popular applied machine learning courses
- Houdini FX: Model, Animate & Optimize 3D Workflows:Â EDUCBA
- Build & Analyze Financial Models: Twitter Case Study:Â EDUCBA
- Responsible AI for Developers: Fairness & Bias - í•œêµì–´: Google Cloud
- Ethical Hacking - Capture the Flag Walkthroughs - v2:Â Packt
- Data Science Fundamentals Part 2: Unit 2:Â Pearson
- Automate Data Onboarding, Validate, and Govern:Â Coursera
- Responsible AI: Applying AI Principles with GC - Italiano:Â Google Cloud
- MLOps with Vertex AI: Manage Features - Español: Google Cloud
- AJAX Authentication and Cross-Origin Requests:Â Packt
- Test & Debug Java ML Pipelines:Â Coursera
