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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
    Free
    C

    Coursera

    Azure: Create a Virtual Machine and Deploy a Web Server

    Skills you'll gain: Virtual Machines, Microsoft Azure, Infrastructure As A Service (IaaS), Cloud Infrastructure, Cloud Computing Architecture, Virtualization and Virtual Machines, Cloud Deployment, Firewall, Cloud Computing, Network Security, Virtual Networking, Web Servers, Network Administration, Remote Access Systems, Application Deployment

    4.5
    Rating, 4.5 out of 5 stars
    ·
    225 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google Cloud

    Orchestrate ML Workflows with Vertex AI Pipelines

    Skills you'll gain: MLOps (Machine Learning Operations), AI Orchestration, AI Workflows, Data Pipelines, Model Deployment, Agentic Workflows, Generative AI Agents, Google Cloud Platform, Forecasting, Model Training, Agentic systems, Prompt Engineering, Automation

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    W

    Whizlabs

    Fundamentals of AWS AI and ML Solutions

    Skills you'll gain: Model Deployment, AWS SageMaker, MLOps (Machine Learning Operations), Image Analysis, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Model Training, Deep Learning, AI Personalization, Cloud Solutions, Artificial Intelligence, Model Evaluation, Applied Machine Learning, AI Integrations, Computer Vision, Machine Learning, Feature Engineering, Text Mining, Data Wrangling

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Deep Learning with ANN in Python: Build & Optimize

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Model Training, Data Preprocessing, Model Optimization, Model Evaluation, Predictive Modeling, Data Processing, Development Environment, Predictive Analytics, Project Performance, Design, Software Installation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning with Keras and Practical Applications

    Skills you'll gain: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Model Optimization, Data Processing, Transfer Learning, Data Analysis, Model Training, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Artificial Neural Networks, Application Deployment, Applied Machine Learning, Fine-tuning, Computer Vision, Predictive Modeling, Model Evaluation, Machine Learning

    Intermediate · Course · 3 - 6 Months

  • C

    Coursera

    Snowflake for Data Science: Intro to Snowpark ML for Python

    Skills you'll gain: Model Deployment, Snowflake Schema, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Model Training, MLOps (Machine Learning Operations), Machine Learning, Predictive Modeling, Data Pipelines, Data Transformation, Data Science, Python Programming, Regression Analysis

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of Colorado Boulder

    Description Design for Interactive Learning Resources

    Skills you'll gain: Web Content Accessibility Guidelines, Education Software and Technology, Design Reviews, Interactive Design, User Interface (UI), Interaction Design, Usability, Software Design Patterns, Usability Testing, Technical Documentation, Design Strategies, Technical Writing, Simulations, Writing

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Using Generative AI for Learning Design Activities

    Skills you'll gain: Generative AI, Prompt Engineering, Course Development, AI literacy, Curriculum Planning, Instructional Design, Brainstorming, Design Strategies, Content Creation, Professional Development

    4.9
    Rating, 4.9 out of 5 stars
    ·
    27 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Foundations for Active Learning in STEM Courses

    Skills you'll gain: Cooperation, Interactive Learning, Education Software and Technology, Student Engagement, Pedagogy, Education and Training, Instructional Strategies, Learning Theory, Student-Centred Learning, Collaboration, Teamwork, Mathematics Education, Digital pedagogy, Professional Development, Problem Solving, Project Design, Critical Thinking, Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Utilizing Engaging Assessment with Boom Learning

    Skills you'll gain: Education Software and Technology, Digital pedagogy

    4.3
    Rating, 4.3 out of 5 stars
    ·
    12 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Optimize ML Dev: Version, Reproduce, and Save

    Skills you'll gain: Git (Version Control System), Model Training, Version Control, AI Workflows, Software Configuration Management, Jupyter, Memory Management, Package and Software Management, Resource Utilization, Virtual Environment

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    ML Data Pipelines and Communicating AI Insights

    Skills you'll gain: Feature Engineering, Extract, Transform, Load, Data Pipelines, Data Transformation, Model Evaluation, Pandas (Python Package), Data Storytelling, Data Presentation, Data Preprocessing, Data Processing, PySpark, Data Quality, Apache Spark, Data-Driven Decision-Making, A/B Testing, Data Analysis, Model Training, Data Visualization, Data Governance, Machine Learning

    Intermediate · Course · 1 - 3 Months

1…656667…834

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

  • Azure: Create a Virtual Machine and Deploy a Web Server: Coursera
  • Orchestrate ML Workflows with Vertex AI Pipelines: Google Cloud
  • Fundamentals of AWS AI and ML Solutions: Whizlabs
  • Deep Learning with ANN in Python: Build & Optimize: EDUCBA
  • Deep Learning with Keras and Practical Applications: Packt
  • Snowflake for Data Science: Intro to Snowpark ML for Python: Coursera
  • Description Design for Interactive Learning Resources: University of Colorado Boulder
  • Using Generative AI for Learning Design Activities: University of Michigan
  • Foundations for Active Learning in STEM Courses: Johns Hopkins University
  • Utilizing Engaging Assessment with Boom Learning: Coursera

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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