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
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Feature Engineering, Data Modeling, Data Storage Technologies, Data Storage, Data Processing, Data Quality
Status: NewSkills you'll gain: MITRE ATT&CK Framework, Cyber Threat Hunting, Incident Response, Cyber Threat Intelligence, Digital Forensics, Threat Detection, Endpoint Detection and Response, Computer Security Incident Management, Microsoft Windows, Exploitation techniques, Threat Management, Endpoint Security, Cyber Security Strategy, Event Monitoring, Cyber Attacks, Cybersecurity, Cyber Security Policies, Network Security, Cyber Risk, Information Technology
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
Status: NewStatus: Free TrialSkills you'll gain: ASP.NET, JavaScript Frameworks, Application Programming Interface (API), Web Applications, Full-Stack Web Development, Restful API, .NET Framework, UI Components, Back-End Web Development, Object-Relational Mapping, Application Frameworks, Model View Controller, User Interface (UI), Data Modeling, Data Validation
Skills you'll gain: Experimentation, Workflow Management, Analysis, Development Environment, Software Versioning
Status: Free TrialSkills you'll gain: Star Schema, Snowflake Schema, Data Warehousing, CI/CD, Database Design, Transact-SQL, Data Pipelines, Extract, Transform, Load, Data Architecture, Data Modeling, Data Transformation, Data Integration, Microsoft Azure, Dataflow, Git (Version Control System), Performance Tuning
Status: NewGoogle Cloud
Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Data Preprocessing, Development Environment
Status: NewStatus: Free TrialSkills you'll gain: Technical Design
Status: NewStatus: Free TrialSkills you'll gain: Query Languages, Business Logic, Web Development Tools, Software Architecture
Status: NewSkills you'll gain: 3D Modeling, Debugging, Scripting, Object Oriented Programming (OOP), Computer Graphics, Programming Principles, Animation and Game Design, Development Environment, Python Programming
Status: NewStatus: Free TrialSkills you'll gain: Motion Graphics, Performance Tuning, Virtual Environment, Layout Design
Status: NewSkills you'll gain: ASP.NET, Cloud Deployment, Application Deployment, Microsoft Azure, Multi-Tenant Cloud Environments, Cloud Applications, Full-Stack Web Development, User Interface (UI) Design, PostgreSQL, Web Applications, User Interface (UI), Object-Relational Mapping, Database Development, Cloud Services, Database Management, Development Environment, Authentications
In summary, here are 10 of our most popular applied machine learning courses
- MLOps with Vertex AI: Manage Features - 한국어: Google Cloud
- Incident Response for Windows: Packt
- Work with Gemini Models in BigQuery - 繁體中文: Google Cloud
- Building Applications with Blazor Server & WASM: Packt
- Reproduce and Evaluate AI Research Workflows: Coursera
- Data Warehousing & Pipeline Development in Microsoft Fabric: Microsoft
- Vertex AI でノートブックを使用する: Google Cloud
- Advanced Machinery Details & Shading Techniques: Packt
- API Integration and Extending Strapi: Packt
- Blender & Python Scripting – Step-by-Step Guide: Packt
