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: Power BI, Azure Synapse Analytics, Microsoft Azure, Governance, Real Time Data, Enterprise Architecture, Application Deployment, Data Architecture, DevOps, Database Architecture and Administration, Data Integration, Data Security, Microsoft 365, Role-Based Access Control (RBAC), Scalability, Collaborative Software, Version Control
University of Colorado Boulder
Skills you'll gain: Computer Vision, Power Electronics, Convolutional Neural Networks, Display Devices, Control Systems, Image Analysis, Computer Displays, Tensorflow, Electronic Systems, Deep Learning, Systems Design, Debugging, Artificial Neural Networks, Electrical Engineering, USB, Semiconductors, Technical Design, electromagnetics, Electrical Power, Electrical Systems
University of North Texas
Skills you'll gain: Operations Management, Mediation, Model Evaluation, Compensation and Benefits, Organizational Change, Event Management, Grammar, Sales Process, Data Visualization, Marketing Planning, Design Thinking, Public Policies, Global Marketing, Probability & Statistics, Social Studies, Cultural Diversity, Digital Media Strategy, Organizational Leadership, Music History, Sociology
In summary, here are 3 of our most popular applied machine learning courses
- Enterprise Power BI: Deployment, Security, and Integration:Â Microsoft
- Power Electronics Graduate Certificate:Â University of Colorado Boulder
- Bachelor of Science in General Business:Â University of North Texas
