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
University of Michigan
Skills you'll gain: Health Policy, Health Equity, Policty Analysis, Research, and Development, Policy Development, Health Care Procedure and Regulation, Policy Analysis, Advocacy, Health Care, Medical Science and Research, Public Health, Research, Systems Thinking
Board Infinity
Skills you'll gain: DeepSeek API, Deepseek, Retrieval-Augmented Generation, Model Deployment, AI Enablement, Make.com, Generative Model Architectures, LLM Application, Cloud Deployment, Embeddings, Software Documentation, Unit Testing, Key Management
Skills you'll gain: Prototyping, User Interface (UI) Design, Figma (Design Software), Mobile Development, Mockups, Wireframing, Collaborative Software
Skills you'll gain: Multimodal Prompts, OpenAI API, ChatGPT, JSON, Large Language Modeling, Python Programming, Text Mining, Data Validation, Unstructured Data
Northeastern University
Skills you'll gain: Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Text Mining, Data Manipulation, Statistical Analysis, Data Preprocessing, Data Structures, Data Cleansing, Python Programming
Skills you'll gain: Legal Technology, Legal Writing, Design Thinking, Client Services, Design, User Experience Design, Human Centered Design, Graphic and Visual Design, Cross-Functional Collaboration, Qualitative Research
Skills you'll gain: Google Cloud Platform, Unstructured Data, Data Processing, Cloud API, Jupyter, Real Time Data, Python Programming
Fractal Analytics
Skills you'll gain: Prompt Engineering, Generative AI, Code Review, Debugging, Responsible AI, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Maintainability, Data Cleansing
Logical Operations
Skills you'll gain: Seaborn, NumPy, Matplotlib, Data Transformation, Data Manipulation, Data Visualization Software, Pandas (Python Package), Plot (Graphics), Data Visualization, Jupyter, Scatter Plots, Data Science, Data Processing, Data Analysis, Box Plots, Python Programming, Graphing, Computer Programming, Computer Programming Tools, Software Development
University of California San Diego
Skills you'll gain: Java, Pedagogy, Debugging, Object Oriented Programming (OOP), Computer Programming, Computational Thinking, Cultural Responsiveness, Digital pedagogy
Skills you'll gain: Competitive Analysis, Market Research, Market Analysis, Responsible AI, Generative AI, Customer Insights, Market Trend, Persona Development, Trend Analysis, Analytics, Data Analysis, Data-Driven Decision-Making, Business Ethics
Scrimba
Skills you'll gain: Cascading Style Sheets (CSS), Responsive Web Design, HTML and CSS, Web Design and Development, Front-End Web Development, Web Design, Computer Programming
In summary, here are 10 of our most popular applied machine learning courses
- Translating Research to Healthcare Policy :Â University of Michigan
- Mastering DeepSeek: From Architecture to Application:Â Board Infinity
- Create a High-Fidelity Prototype with Figma:Â Coursera
- Prompt Engineering in Python, with GPT, and the OpenAI API:Â Packt
- Data Analytics Engineering: Probability & Techniques:Â Northeastern University
- Legal Design: Crafting User-Centric Legal Solutions:Â Coursera
- Process Documents with Python Using the Document AI API:Â Google Cloud
- Generative AI - Your Personal Code Reviewer:Â Fractal Analytics
- Using Data Science Tools in Python:Â Logical Operations
- Learn to Teach Java: Inheritance and Recursion:Â University of California San Diego
