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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: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Optimize and Manage Your ML Codebase

    Skills you'll gain: MLOps (Machine Learning Operations), Model Optimization, Version Control, Model Deployment, CI/CD, Git (Version Control System), Continuous Deployment, Performance Tuning, Continuous Integration, Software Versioning, Release Management, Continuous Delivery, Performance Testing, PyTorch (Machine Learning Library), Test Automation, Performance Improvement

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    AI for Lawyers: Learning and Leading

    Skills you'll gain: AI literacy, Critical Thinking, Legal Technology, Advocacy, Artificial Intelligence, AI Integrations, Communication, Leadership Development, Lifelong Learning, Professional Development, Constructive Feedback, Leadership, Adaptability, Communication Strategies, Creativity, Generative AI

    4.4
    Rating, 4.4 out of 5 stars
    ·
    32 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Deep Learning for Natural Language Processing

    Skills you'll gain: Large Language Modeling, Model Optimization, Recurrent Neural Networks (RNNs), Natural Language Processing, Prompt Engineering, Model Training, LLM Application, Artificial Neural Networks, Transfer Learning, Deep Learning, Embeddings, Fine-tuning, Generative Model Architectures

    Build toward a degree

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Keras Deep Learning & Generative Adversarial Networks (GAN)

    Skills you'll gain: Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Model Deployment, Generative AI, Keras (Neural Network Library), NumPy, Model Optimization, Applied Machine Learning, Data Processing, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Generative Model Architectures, Deep Learning, Transfer Learning, Artificial Intelligence, Machine Learning, Data Science

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Optimize Deep Learning: Tune PyTorch Models

    Skills you'll gain: Fine-tuning, Model Optimization, Model Deployment, Model Training, PyTorch (Machine Learning Library), Transfer Learning, Performance Tuning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Scalability, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Sentiment Analysis with Deep Learning using BERT

    Skills you'll gain: Model Optimization, Model Evaluation, Large Language Modeling, Data Preprocessing, Model Training, Fine-tuning, Data Cleansing, PyTorch (Machine Learning Library), Transfer Learning, Deep Learning, Natural Language Processing, Exploratory Data Analysis, Test Data, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    398 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

    Coursera

    Develop Production-Ready ML APIs with MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Applied Machine Learning, API Design, CI/CD, Software Quality Assurance, Code Review, Maintainability

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Automate, Analyze, and Evaluate ML Experiments

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Apache Airflow, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Verification And Validation, Content Performance Analysis, Statistical Methods, Quality Assessment, Statistical Hypothesis Testing, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Launch an auto-scaling AWS EC2 virtual machine

    Skills you'll gain: Amazon Elastic Compute Cloud, Amazon Web Services, Virtual Machines, Cloud Hosting, Cloud Infrastructure, Scalability, Verification And Validation, Cloud Deployment, Capacity Management, Application Deployment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    57 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    E

    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    ML Pipelines on Google Cloud - Français

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, CI/CD, Apache Airflow, Tensorflow, Data Pipelines, Continuous Deployment, Model Deployment, AI Orchestration, Model Training, Metadata Management, Model Evaluation, Data Validation

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    New Learning: Principles and Patterns of Pedagogy

    Skills you'll gain: Pedagogy, Formal Learning, Digital pedagogy, Education and Training, Teaching, Human Learning, Adult Education, Higher Education, Instructional Strategies, Diversity Awareness, Cultural Diversity, Lifelong Learning, Curriculum Development, Student-Centred Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    424 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Optimize and Manage Your ML Codebase: Coursera
  • AI for Lawyers: Learning and Leading: University of Michigan
  • Deep Learning for Natural Language Processing: University of Colorado Boulder
  • Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
  • Optimize Deep Learning: Tune PyTorch Models: Coursera
  • Sentiment Analysis with Deep Learning using BERT: Coursera
  • Develop Production-Ready ML APIs with MLOps: Coursera
  • Automate, Analyze, and Evaluate ML Experiments: Coursera
  • Launch an auto-scaling AWS EC2 virtual machine: Coursera
  • Python: Implement & Evaluate Random Forests for ML: EDUCBA

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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