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: Natural Language Processing, Microsoft Azure, Computer Vision, No-Code Development, Machine Learning, AI Workflows, Predictive Modeling, Artificial Intelligence, Responsible AI, Model Deployment
Skills you'll gain: Program Development, Debugging
Arizona State University
Skills you'll gain: English Language, Business Writing, Product Planning, Marketing Budgets, Business Communication, Project Documentation, Presentations, Management Reporting, Business Planning, New Product Development, Budgeting, Project Coordination, Market Analysis
Vanderbilt University
Skills you'll gain: Claude Code, Prompt Engineering, Model Context Protocol, ChatGPT, Prompt Patterns, Anthropic Claude, AI Workflows, Ideation, Verification And Validation, Prompt Engineering Tools, LLM Application, Generative AI Agents, Multimodal Prompts, Agentic Workflows, AI Orchestration, AI Enablement, Generative AI, Agentic systems, AI Security, Artificial Intelligence and Machine Learning (AI/ML)
Coursera
Skills you'll gain: Image Quality, Data Preprocessing, Data Quality, Generative AI, Data Validation, Data Collection, Data Transformation, PyTorch (Machine Learning Library), Data Ethics, Data Management, Metadata Management
AI CERTs
Skills you'll gain: AI Personalization, AI Product Strategy, Customer Service, Customer Insights, Customer Analysis, AI Enablement, Customer Data Management, Customer experience strategy (CX), Customer and Client Support, Data Ethics, Customer Relationship Building, Customer Engagement, Customer Retention, Artificial Intelligence and Machine Learning (AI/ML), Customer Success Management, Generative AI Agents, Generative AI, Emerging Technologies
Skills you'll gain: Risk Modeling, Financial Systems, Responsible AI, Safety Culture, FinTech
Hebrew University of Jerusalem
Skills you'll gain: Computer Architecture, Computer Hardware, Computer Engineering, Computer Science, Computational Logic, Programming Principles, Computer Programming, System Design and Implementation, Program Development, Data Storage
Skills you'll gain: Algorithms, Systems Analysis, Resource Utilization, Scalability
Coursera
Skills you'll gain: Stakeholder Communications, Stakeholder Analysis, Data Presentation, Data Analysis, Exploratory Data Analysis, Business Communication, Model Evaluation, Responsible AI, Statistical Methods
DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Model Evaluation, Responsible AI, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning
Searches related to applied machine learning
In summary, here are 10 of our most popular applied machine learning courses
- Preparing for AI-900: Microsoft Azure AI Fundamentals exam:Â Microsoft
- Implement Hand Gesture Recognition with OpenCV:Â EDUCBA
- 总计划案 Final Project: Arizona State University
- AI Agents with Model Context Protocol & Typescript:Â Vanderbilt University
- Preparing Images for AI Models:Â Coursera
- Customer Service with AI:Â AI CERTs
- Automate and Evaluate ML Pipeline Tests:Â Coursera
- Analyze Financial Risk Using AI, Markets, and Governance:Â EDUCBA
- Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course):Â Hebrew University of Jerusalem
- Analyze and Optimize Fusion Algorithms:Â Coursera
