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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


  • C

    Coursera

    Evaluate & Swap Models in Java ML

    Skills you'll gain: Model Evaluation, Data Preprocessing, MLOps (Machine Learning Operations), Classification Algorithms, Applied Machine Learning, Maintainability, Machine Learning Algorithms, Java, Software Architecture, Software Design Patterns, Logistic Regression, Business Metrics, Benchmarking, Decision Tree Learning, Matrix Management, Business

    Intermediate · Course · 1 - 4 Weeks

  • C

    Codio

    Java Basics: Selection and Iteration

    Skills you'll gain: Debugging, Java Programming, Java, Programming Principles, Computer Programming, Integrated Development Environments, Computer Science, Data Structures

    4.5
    Rating, 4.5 out of 5 stars
    ·
    118 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Building AI Agents – Fundamentals to Advanced

    Skills you'll gain: Email Automation, Agentic Workflows, AI Workflows, Multimodal Prompts, Tool Calling, Calendar Management, Machine Learning Methods, Scheduling, AI Security, Text Mining, Classification Algorithms, JSON

    Intermediate · Course · 1 - 3 Months

  • E

    Edureka

    Generative AI for Software Engineers & Developers

    Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Gemini, Model Deployment, Generative AI Agents, Generative Adversarial Networks (GANs), Google Gemini, Responsible AI, Performance Tuning, Large Language Modeling, Software Development Tools, Code Review, Software Engineering, Artificial Intelligence, AI Personalization, Software Development, Software Quality Assurance, Debugging, Automation

    4.1
    Rating, 4.1 out of 5 stars
    ·
    11 reviews

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    Architecture and Virtualization

    Skills you'll gain: Network Architecture, Virtual Networking, Virtualization, Network Planning And Design, Software-Defined Networking, Virtual Private Networks (VPN), Network Protocols, Cloud Infrastructure, Local Area Networks, Wireless Networks, Wide Area Networks, Virtual Machines

    4.9
    Rating, 4.9 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Georgia Institute of Technology

    Software Defined Networking

    Skills you'll gain: Software-Defined Networking, Network Performance Management, Network Monitoring, Data Centers, Network Architecture, Computer Networking, Cloud Computing, Network Routing, Microsoft Azure, Test Tools, Debugging, Scalability

    4.1
    Rating, 4.1 out of 5 stars
    ·
    49 reviews

    Mixed · Course · 1 - 3 Months

  • R

    Rice University

    Physics of Geometrical and Physical Optics

    Skills you'll gain: Physics, Applied Mathematics, Geometry, Engineering Analysis, Advanced Mathematics, Physical Science, Mathematical Modeling, Trigonometry, Calculus, Algebra, Mathematical Theory & Analysis, Problem Solving

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Introduction to Python for Scientific Computing

    Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Jupyter, Data Analysis, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    16 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Politecnico di Milano

    Developing FPGA-accelerated cloud applications with SDAccel: Theory

    Skills you'll gain: Application Specific Integrated Circuits, Amazon Elastic Compute Cloud, Cloud Infrastructure, Cloud Development, Amazon Web Services, Hardware Architecture, Cloud Applications, Performance Tuning, Computer Architecture, Development Environment, System Design and Implementation, Programming Principles

    4.7
    Rating, 4.7 out of 5 stars
    ·
    77 reviews

    Intermediate · Course · 1 - 3 Months

  • M

    Microsoft

    Core generative models and techniques

    Skills you'll gain: Generative AI, Generative Model Architectures, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Model Deployment, Model Evaluation, Microsoft Azure, PyTorch (Machine Learning Library), Deep Learning, Time Series Analysis and Forecasting, Cloud Deployment, Tensorflow, Image Analysis, Data Preprocessing, Forecasting, Prototyping

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Programming for Designers

    Skills you'll gain: Object Oriented Programming (OOP), Animation and Game Design, Interactive Data Visualization, Software Design, Program Development, Data Structures, Visualization (Computer Graphics), Interactive Design, Programming Principles, Graphic and Visual Design, Python Programming, Generative AI, Simulations, Computer Graphics, Design, Computational Logic, Creative Design, Computer Programming, Computational Thinking, File I/O

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Beginner · Specialization · 3 - 6 Months

  • E

    Edureka

    Go Programming Language

    Skills you'll gain: Cloud-Native Computing, Grafana, Web Services, Web Applications, Software Architecture, Development Environment, Object Oriented Design, CI/CD, Programming Principles, Computer Programming, Program Development, Network Security, Other Programming Languages, Software Development Tools, Data Structures, Data Sharing

    2.9
    Rating, 2.9 out of 5 stars
    ·
    42 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Evaluate & Swap Models in Java ML: Coursera
  • Java Basics: Selection and Iteration: Codio
  • Building AI Agents – Fundamentals to Advanced: Packt
  • Generative AI for Software Engineers & Developers: Edureka
  • Architecture and Virtualization: Packt
  • Software Defined Networking: Georgia Institute of Technology
  • Physics of Geometrical and Physical Optics: Rice University
  • Introduction to Python for Scientific Computing: University of Colorado Boulder
  • Developing FPGA-accelerated cloud applications with SDAccel: Theory: Politecnico di Milano
  • Core generative models and techniques: Microsoft

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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