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  • Applied Machine Learning

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


  • E

    EDUCBA

    Analyze Financial Risk Using AI, Markets, and Governance

    Skills you'll gain: Risk Modeling, Financial Systems, Responsible AI, Safety Culture, FinTech

    Intermediate · Course · 1 - 3 Months

  • Status: Hands-On Projects
    Hands-On Projects
    I

    IBM

    IBM Product Manager

    Skills you'll gain: AI Product Strategy, User Story, Usability Testing, New Product Development, Product Management, Product Lifecycle Management, Product Development, Innovation, Agile Software Development, Scrum (Software Development), Product Roadmaps, Agile Methodology, Kanban Principles, Responsible AI, Generative AI, Backlogs, ChatGPT, Test Planning, Registration, Leadership

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.4K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • C

    Coursera

    Linear Regression with Python

    Skills you'll gain: Regression Analysis, NumPy, Supervised Learning, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Deep Learning, Data Science, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    438 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Michigan

    Introduction to HTML5

    Skills you'll gain: Hypertext Markup Language (HTML), Web Design, Web Content Accessibility Guidelines, Web Design and Development, Web Development Tools, Web Servers, Cascading Style Sheets (CSS), Verification And Validation, Integrated Development Environments

    4.7
    Rating, 4.7 out of 5 stars
    ·
    28K reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Testing and Refining LLM Applications

    Skills you'll gain: MLOps (Machine Learning Operations), LLM Application, AI Security, Test Automation, Test Driven Development (TDD), Code Coverage, Unit Testing, CI/CD, Continuous Integration, Testability, Large Language Modeling, Model Deployment, Responsible AI, Maintainability, AI Workflows, Scripting, Software Engineering, Python Programming, Statistical Analysis, SQL

    Intermediate · Course · 1 - 3 Months

  • U

    University of Michigan

    Good with Words: Writing and Editing

    Skills you'll gain: Writing and Editing, Editing, Constructive Feedback, Concision, Writing, Organizational Skills, Proofreading, Storytelling, Productivity, Planning, Detail Oriented, Time Management, Brainstorming, Content Creation, Overcoming Obstacles, Resourcefulness, Lifelong Learning, Decision Making, Critical Thinking, Creativity

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • R

    Rice University

    Fundamentals of Computing

    Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Probability, Bioinformatics, Interactive Design, Program Development, Big Data, Python Programming, Data Analysis, User Interface (UI), Machine Learning Algorithms, Theoretical Computer Science, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • P

    Packt

    Getting Started with Vector Databases and AI Embeddings

    Skills you'll gain: Vector Databases, Embeddings, Generative AI, Artificial Intelligence, Database Management Systems, Data Storage, Databases, Retrieval-Augmented Generation, Scalability, Information Architecture, Anomaly Detection, Unstructured Data

    Beginner · Course · 1 - 3 Months

  • M

    MathWorks

    MathWorks Computer Vision Engineer

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Transfer Learning, Deep Learning, Machine Learning Methods, Image Quality, Data Preprocessing, Artificial Neural Networks, Matlab, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Traffic Flow Optimization, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    359 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • D

    Duke University

    Python Essentials for MLOps

    Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Model Deployment, Data Manipulation, Software Testing, Data Import/Export, Test Automation, Python Programming, Debugging, Data Structures, Machine Learning, Object Oriented Programming (OOP), Scripting, Numerical Analysis, Application Programming Interface (API), Command-Line Interface

    4.2
    Rating, 4.2 out of 5 stars
    ·
    354 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Portfolio and Industry Readiness for Agentic AI Architects

    Skills you'll gain: Agentic Workflows, Technical Communication, Agentic systems, AI Orchestration, Artificial Intelligence and Machine Learning (AI/ML), AI Security, Data Presentation, Professional Development, MLOps (Machine Learning Operations), Technical Documentation, Coaching, Technical Writing, Portfolio Management, Verbal Communication Skills, Project Documentation, Communication Strategies, GitHub

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    AI Agent Development Fundamentals

    Skills you'll gain: Generative AI Agents, Agentic systems, Prompt Engineering, AI Workflows, LLM Application, Systems Architecture, Tool Calling, Natural Language Processing, Context Management, Debugging, Verification And Validation

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular applied machine learning courses

  • Analyze Financial Risk Using AI, Markets, and Governance: EDUCBA
  • IBM Product Manager: IBM
  • Linear Regression with Python: Coursera
  • Introduction to HTML5: University of Michigan
  • Testing and Refining LLM Applications: Coursera
  • Good with Words: Writing and Editing: University of Michigan
  • Fundamentals of Computing: Rice University
  • Getting Started with Vector Databases and AI Embeddings: Packt
  • MathWorks Computer Vision Engineer: MathWorks
  • Python Essentials for MLOps: Duke University

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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