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: Apache, Web Servers, Authentications, Application Servers, Server Side, Secure Coding, Web Applications, Application Security, Restful API, Servers, Back-End Web Development, Javascript
Status: Free TrialSkills you'll gain: Microsoft Teams, Data Loss Prevention, Data Governance, Compliance Management, Role-Based Access Control (RBAC), Collaborative Software, Windows PowerShell, Security Management, Identity and Access Management, System Configuration, System Monitoring, Event Monitoring, Legal Technology
Status: Free TrialCoursera
Skills you'll gain: Canva (Software), Logo Design, Branding, Brand Strategy, Style Guides, Typography, Brand Management, Creative Design, Marketing Design, Graphic Design, Color Theory, Graphic and Visual Design, Digital Design, Governance, Asset Management, Layout Design, Scalability
Status: NewStatus: Free TrialSkills you'll gain: Scientific Visualization, Data Storytelling, Heat Maps, Data Mapping
Skills you'll gain: Google Gemini, Marketing Strategies, Customer Analysis, Big Data, Forecasting, Customer Insights, Predictive Analytics, Analytics, Target Audience, Data Analysis, Marketing Analytics, Artificial Intelligence, Google Cloud Platform, Generative AI
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: PreviewGoogle Cloud
Skills you'll gain: Model Deployment, Recurrent Neural Networks (RNNs), Tensorflow, Keras (Neural Network Library), Generative Model Architectures, Machine Learning Methods
Google Cloud
Skills you'll gain: Google Gemini, Generative AI, Customer Relationship Management, Workflow Management, Big Data, Jupyter, Artificial Intelligence and Machine Learning (AI/ML), SQL, Predictive Modeling, Model Evaluation
Status: NewSkills you'll gain: Computational Logic, Object Oriented Programming (OOP)
Status: NewStatus: Free TrialSkills you'll gain: Unreal Engine, 3D Assets, Virtual Environment, Data Import/Export, Computer Graphics, Image Quality, Performance Tuning
Status: NewStatus: Free TrialSkills you'll gain: Usability, Hypertext Markup Language (HTML), Front-End Web Development, User Experience Design, Browser Compatibility, User Interface (UI), User Interface (UI) Design, Semantic Web, Javascript, Debugging, Web Applications, Web Development, Development Testing
Google Cloud
Skills you'll gain: Google Gemini, Google Cloud Platform, Big Data, Generative AI, Customer Relationship Management, Predictive Modeling, Advanced Analytics, Artificial Intelligence and Machine Learning (AI/ML), SQL, Prompt Engineering, Data Analysis, Python Programming
In summary, here are 10 of our most popular applied machine learning courses
- AJAX Authentication and Cross-Origin Requests: Packt
- MS Teams – Security, Compliance, and Advanced Administration: Packt
- Advanced Branding in Canva: Coursera
- Data Visualization and Storytelling with Python: Packt
- Gemini for Data Scientists and Analysts-Português Brasileiro: Google Cloud
- MLOps with Vertex AI: Manage Features - 한국어: Google Cloud
- Encoder-Decoder Architecture - 日本語版: Google Cloud
- Work with Gemini Models in BigQuery - 한국어: Google Cloud
- JavaScript essentials for Node-RED: Packt
- Exporting and Integrating Assets into Unreal Engine 5: Packt
