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: PreviewSkills you'll gain: Natural Language Processing, Large Language Modeling, Transfer Learning, Embeddings, Classification Algorithms
Status: Free TrialSkills you'll gain: Stakeholder Management, Stakeholder Engagement, Project Risk Management, Project Management, Agile Methodology, Project Management Life Cycle, Compliance Management, Agile Project Management, Scope Management, Business Process, Requirements Management, Project Planning, Project Management Institute (PMI) Methodology, Project Schedules, Governance, Change Management, Procurement
Status: NewStatus: Free TrialSkills you'll gain: Computer Graphics, Application Development, Visualization (Computer Graphics), Software Design, C++ (Programming Language), Microsoft Windows, Software Architecture, Application Lifecycle Management, Context Management, System Configuration, Debugging
Status: Free TrialSkills you'll gain: Event-Driven Programming, Javascript, Web Development Tools, Application Programming Interface (API), Game Design, Restful API, Software Development
Status: NewStatus: Free TrialSkills you'll gain: Agile Methodology, Agile Software Development, Agile Project Management, Kanban Principles, Agile Product Development, Scrum (Software Development), Lean Methodologies, Sprint Retrospectives, Backlogs, Sprint Planning, Continuous Improvement Process, Stakeholder Engagement, Prioritization
Status: Free TrialSkills you'll gain: File I/O, Software Design Patterns, Software Documentation, Testability, Development Testing, Package and Software Management
Status: Free TrialSkills you'll gain: Cloud Deployment, Application Deployment, ASP.NET, Microsoft Azure, Software Architecture, Authentications, Application Design, User Interface (UI), Application Development, Database Development, Maintainability, Web Servers, Debugging, Data Validation
Skills you'll gain: Google Gemini, Google Cloud Platform, Generative AI, Marketing Analytics, Customer Insights, Analytics, Business Intelligence, AI Enablement, Predictive Analytics, Query Languages
Status: PreviewGoogle Cloud
Skills you'll gain: Natural Language Processing, Large Language Modeling, Transfer Learning, Generative Model Architectures, Text Mining
Status: NewStatus: Free TrialSkills you'll gain: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Databases, Data Processing, SQL, Data Persistence, Data Analysis
Coursera
Skills you'll gain: Flask (Web Framework), Model View Controller, Back-End Web Development, Hypertext Markup Language (HTML), Python Programming
Skills you'll gain: Data Migration, PostgreSQL, Database Management, Google Cloud Platform, Data Validation, Data Import/Export, Public Cloud
In summary, here are 10 of our most popular applied machine learning courses
- Transformer Models and BERT Model - Português Brasileiro: Google Cloud
- Process, Business Environment, and Exam Preparation: Packt
- DirectX 11: Design, Implement & Optimize: EDUCBA
- API Basics 3: Build a Game (Async JS, Callbacks & Promises): Scrimba
- Mastering Agile: Apply & Adapt Principles for Value Delivery: EDUCBA
- Advanced Ruby Programming and Object-Oriented Design: Packt
- Advanced Development, Deployment, and Cloud Integration: Packt
- Gemini for Data Scientists and Analysts - Bahasa Indonesia: Google Cloud
- Transformer Models and BERT Model - 한국어: Google Cloud
- Data Science Fundamentals Part 1: Unit 3: Pearson
