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: Free TrialSkills you'll gain: Microsoft Azure, Event-Driven Programming, Cloud Computing Architecture, Application Design, Application Programming Interface (API), Cloud Deployment, Solution Architecture, Microservices, Cloud Computing, Software Architecture, Virtual Machines, Cloud Infrastructure, Enterprise Architecture, Serverless Computing, Network Architecture, Hybrid Cloud Computing, Virtual Networking, Data Migration, Containerization
Status: NewGoogle Cloud
Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, Machine Learning, Development Environment, Collaborative Software, Exploratory Data Analysis
Google Cloud
Skills you'll gain: Containerization, Docker (Software), Cloud Infrastructure, Microsoft SQL Servers, Cloud Computing, Remote Access Systems, Windows Servers, Virtual Machines, Microsoft Windows
Status: NewSkills you'll gain: Adobe Premiere, Video Editing, Post-Production, Photo/Video Production and Technology, Video Production, Color Theory, File Management, Motion Graphics, Timelines, Performance Tuning
Skills you'll gain: Ideation, Diagram Design, Brainstorming, Team Building, Productivity Software, Data Visualization, Organizational Skills
Status: PreviewKoç University
Skills you'll gain: Numerical Analysis, Calculus, Applied Mathematics, Integral Calculus, Mathematical Software, Mathematics Education, Advanced Mathematics, Mathematical Theory & Analysis, Derivatives
Skills you'll gain: Python Programming, Scripting, Data Processing, Data Analysis, Programming Principles, Object Oriented Programming (OOP)
Status: PreviewSkills you'll gain: Gemini, Google Gemini, Generative AI, Prompt Engineering, AI Product Strategy, Multimodal Prompts, AI Enablement, MLOps (Machine Learning Operations), Model Deployment, LLM Application, Google Cloud Platform, Performance Tuning
Status: Free TrialSkills you'll gain: Devops Tools, Containerization, Docker (Software), Kubernetes, Prometheus (Software), Continuous Integration, DevOps, CI/CD, Jenkins, Application Deployment, Grafana, Application Performance Management, Continuous Deployment, Continuous Delivery, Configuration Management, Microservices, Infrastructure as Code (IaC), YAML, System Monitoring
Status: PreviewGoogle Cloud
Skills you'll gain: Natural Language Processing, Generative Model Architectures, Large Language Modeling, Transfer Learning, Classification Algorithms
Status: NewSkills you'll gain: Project Management Software, Release Management, Administration, User Interface (UI), System Configuration
Status: NewStatus: Free TrialSkills you'll gain: Mobile Security, Wireless Networks, Network Security, Application Security, Internet Of Things, Cybersecurity, Infrastructure Security, Android (Operating System), Exploitation techniques, Vulnerability Assessments, Encryption
In summary, here are 10 of our most popular applied machine learning courses
- Advanced Azure Architecture and Migration Strategies: Packt
- Vertex AI에서 노트북 작업하기: Google Cloud
- Running Windows Containers on Compute Engine: Google Cloud
- The Complete Guide to Adobe Premiere Pro 2025: Packt
- Create an Affinity Diagram Using Creately: Coursera
- KALKÜLÜS III: UYGULAMALAR / CALCULUS III: APPLICATIONS: Koç University
- Cómo usar funciones, métodos y bucles en Python desde cero: Coursera
- Introduction to Vertex AI Studio - Português Brasileiro: Google Cloud
- Advanced DevOps Tools and Practices: Packt
- Transformer Models and BERT Model - Español: Google Cloud
