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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


  • Status: Free Trial
    Free Trial
    G

    Google

    Discover the Art of Prompting

    Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, Model Evaluation, Content Creation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Orthogonality and Diagonalization

    Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Numerical Analysis, Geometry, Applied Mathematics, Algebra, Mathematical Modeling

    4.9
    Rating, 4.9 out of 5 stars
    ·
    45 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    B

    Birla Institute of Technology & Science, Pilani

    Graphs and Networks

    Skills you'll gain: Graph Theory, Network Analysis, Social Network Analysis, Combinatorics, Network Model, Mathematical Modeling, Data Structures, Transportation Operations, Image Analysis, Algorithms, Theoretical Computer Science, Artificial Intelligence and Machine Learning (AI/ML), Computational Thinking, Problem Solving

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Introduction to Generative AI

    Skills you'll gain: Prompt Engineering, Generative AI, Retrieval-Augmented Generation, ChatGPT, OpenAI, Large Language Modeling, OpenAI API, Hugging Face, Microsoft Copilot, Responsible AI, Python Programming, Machine Learning, Application Programming Interface (API)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    184 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Network Engr

    Skills you'll gain: Application Performance Management, Distributed Denial-Of-Service (DDoS) Attacks, Google Cloud Platform, Cloud Infrastructure, Load Balancing, System Monitoring, Prompt Engineering, Kubernetes, Network Performance Management, Network Monitoring, Firewall, Cloud Computing Architecture, Containerization, Virtual Networking, Network Architecture, Network Planning And Design, Network Security, Cloud Storage, Network Routing, Virtual Private Networks (VPN)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    50K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • H

    H2O.ai

    H2O Gen AI Ecosystem Overview - Level 2

    Skills you'll gain: Model Deployment, Generative AI, Cloud Deployment, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, MLOps (Machine Learning Operations), AI Workflows, System Monitoring, Feature Engineering, Continuous Monitoring, Applied Machine Learning, Data Preprocessing, Advanced Analytics, Artificial Intelligence, Deep Learning, Data Processing, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Getting started with TensorFlow 2

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Convolutional Neural Networks, Transfer Learning, Supervised Learning, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    580 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Mathematical Foundations for Data Science and Analytics

    Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

    Build toward a degree

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Front-End Developer

    Skills you'll gain: User Research, Cascading Style Sheets (CSS), User Experience Design, User Experience, Design Research, Linux Commands, Usability, Debugging, User Interface (UI), Software Versioning, Software Visualization, Web Content Accessibility Guidelines, Pseudocode, JavaScript Frameworks, User Interface and User Experience (UI/UX) Design, Javascript, Web Applications, Event-Driven Programming, Unit Testing, Application Programming Interface (API)

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    24K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft AI Agents: From Foundations to Applications

    Skills you'll gain: Responsible AI, Containerization, Prompt Engineering, AI Orchestration, Scalability, AI Workflows, Application Deployment, Kubernetes, Agentic Workflows, Azure Active Directory, System Monitoring, LangChain, Generative AI Agents, Microservices, Microsoft Azure, Artificial Intelligence, Distributed Computing, Serverless Computing, Natural Language Processing, Reinforcement Learning

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    Instructional Design Foundations and Applications

    Skills you'll gain: Instructional and Curriculum Design, Needs Assessment, Instructional Design, Learning Theory, Diversity and Inclusion, Training and Development, Education and Training, Curriculum Development, Analysis

    4.1
    Rating, 4.1 out of 5 stars
    ·
    843 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Simple Linear Regression for the Absolute Beginner

    Skills you'll gain: Regression Analysis, Visualization (Computer Graphics), Scikit Learn (Machine Learning Library), Feature Engineering, Data Cleansing, Predictive Modeling, Data Analysis, Statistical Modeling, Supervised Learning, Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    67 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Discover the Art of Prompting: Google
  • Linear Algebra: Orthogonality and Diagonalization: Johns Hopkins University
  • Graphs and Networks: Birla Institute of Technology & Science, Pilani
  • Introduction to Generative AI: Duke University
  • Preparing for Google Cloud Certification: Cloud Network Engr: Google Cloud
  • H2O Gen AI Ecosystem Overview - Level 2: H2O.ai
  • Getting started with TensorFlow 2: Imperial College London
  • Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
  • Meta Front-End Developer: Meta
  • Microsoft AI Agents: From Foundations to Applications: 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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