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
Skills you'll gain: Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Model Deployment, Data Pipelines, Cloud Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Data Cleansing, Data Transformation, Deep Learning, Scalability, Artificial Neural Networks, Machine Learning
Skills you'll gain: Computer Graphics, Visualization (Computer Graphics), Computer Graphic Techniques, C++ (Programming Language), Mathematical Theory & Analysis, Applied Mathematics, Algebra
O.P. Jindal Global University
Skills you'll gain: Political Sciences, Policy Development, Policy Analysis, Public Policies, Governance, Community Development, Public Administration, Social Sciences, Discussion Facilitation, Economics, Coordination, Sociology
Skills you'll gain: React.js, Web Components, UI Components, User Interface (UI), Game Design, Web Development
Skills you'll gain: Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), Color Theory, Javascript, Front-End Web Development, User Interface (UI) Design, Web Development, Data Validation
Skills you'll gain: Zero Trust Network Access, Cloud Computing Architecture, Serverless Computing, Data Governance, Cloud Management, Virtual Networking, Identity and Access Management, Role-Based Access Control (RBAC)
Edureka
Skills you'll gain: Systems Development, Database Application, Web Applications, Scrum (Software Development)
Skills you'll gain: Kubernetes, Docker (Software), Containerization, DevOps, Application Deployment, Scalability, Load Balancing, YAML, Capacity Management, Disaster Recovery, System Monitoring, Maintainability, Command-Line Interface
Skills you'll gain: Amazon Bedrock, Cloud Computing Architecture, AI Workflows, Generative AI, Cloud Engineering, Amazon Web Services, Cloud Computing, Cloud Deployment, Model Deployment, AWS Identity and Access Management (IAM), Performance Tuning, Scalability
Skills you'll gain: Security Information and Event Management (SIEM), Threat Detection, Microsoft Azure, Anomaly Detection, Cyber Threat Intelligence, Security Management, Cloud Management, Application Deployment, Role-Based Access Control (RBAC), Incident Response, Identity and Access Management, Automation, Query Languages
Skills you'll gain: Model Deployment, Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, Cloud Deployment, Deep Learning, Data Preprocessing, Machine Learning Methods, Artificial Neural Networks, Data Transformation, Application Programming Interface (API)
Skills you'll gain: Ansible, Infrastructure as Code (IaC), DevOps, Kubernetes, YAML, Docker (Software), Automation, Debugging, Security Controls, Microsoft Windows, Configuration Management
In summary, here are 10 of our most popular applied machine learning courses
- Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano:Â Google Cloud
- DirectX: Implement & Optimize 3D Rendering:Â EDUCBA
- Democratic Governance and Policymaking:Â O.P. Jindal Global University
- Learn React Hooks: Build a Tic Tac Toe Game:Â Scrimba
- React Beginner Project: Build a Color Picker Tool:Â Scrimba
- AZ-900 Microsoft Azure Fundamentals Exam Quick Prep:Â Packt
- Building with Retool AI:Â Edureka
- Scaling E-Commerce with Kubernetes: Deploy Web Apps:Â Coursera
- GenAI for AWS: AI-Driven Cloud Automation & Scaling:Â Coursera
- Microsoft Sentinel Skills:Â Packt
