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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 Cloud

    Gemini for Google Cloud Learning Path

    Skills you'll gain: Google Gemini, Gemini, AI Security, Cloud Deployment, Google Cloud Platform, Kubernetes, Big Data, Software Development Life Cycle, Systems Development Life Cycle, Devops Tools, Cloud Development, Cloud Security, Development Testing, Virtual Networking, Application Deployment, Marketing Analytics, DevOps, Generative AI, Application Development, Security Engineering

    4.3
    Rating, 4.3 out of 5 stars
    ·
    41 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Transfer Learning for NLP with TensorFlow Hub

    Skills you'll gain: Transfer Learning, Fine-tuning, Tensorflow, Natural Language Processing, Keras (Neural Network Library), Embeddings, Model Training, Deep Learning, Classification Algorithms, Model Evaluation, Machine Learning, Software Visualization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    182 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

    Coursera

    Engineer, Validate, and Govern ML Data

    Skills you'll gain: Apache Airflow, Data Governance, Data Management, Apache Spark, PySpark, Databricks, Record Keeping

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Choose Cost-Effective ML Algorithms Fast

    Skills you'll gain: Model Training, Benchmarking, Decision Intelligence, Resource Utilization, Cost Estimation, Resource Consumption Accounting, Memory Management, Run Chart, Analysis, Cost Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Exploring Generative AI for Learning Design

    Skills you'll gain: AI Personalization, Generative AI, AI powered creativity, Education Software and Technology, AI literacy, Instructional Design, AI Integrations, Design Strategies, Content Creation, Emerging Technologies, Professional Development

    4.5
    Rating, 4.5 out of 5 stars
    ·
    53 reviews

    Beginner · Course · 1 - 4 Weeks

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

    Coursera

    Evaluate and Create ML Workflows Visually

    Skills you'll gain: Model Training, MLOps (Machine Learning Operations), Software Visualization, Dashboard Creation, Grafana, Code Reusability, Performance Metric, Data Pipelines, Performance Analysis, Collaborative Software

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Data Engineering and Spark Foundations for AI and ML

    Skills you'll gain: Databricks, PySpark, Apache Spark, Data Lakes, Data Pipelines, Data Processing, Data Warehousing, Distributed Computing, Data Architecture, JSON, Data Import/Export, Applied Machine Learning, Data Management, Data Entry, Database Architecture and Administration, Data Collection, SQL, Python Programming, Machine Learning, Artificial Intelligence

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Building, Evaluating, and Operationalizing ML Models

    Skills you'll gain: Model Evaluation, Model Training, Model Optimization, Model Deployment, Fine-tuning, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Optimize Java Memory for ML Performance

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Containerization, Model Optimization, Performance Tuning, Memory Management, Docker (Software), Java, Java Programming, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Data Structures

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Orchestrate, Analyze, and Evaluate ML Pipelines

    Skills you'll gain: Feature Engineering, Data Pipelines, Apache Airflow, MLOps (Machine Learning Operations), Service Level, AI Orchestration, Data Store, Data Transformation, Change Control, Key Performance Indicators (KPIs)

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    ML Pipelines on Google Cloud - Português

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

    Advanced · Course · 1 - 3 Months

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

  • Gemini for Google Cloud Learning Path: Google Cloud
  • Transfer Learning for NLP with TensorFlow Hub: Coursera
  • Engineer, Validate, and Govern ML Data: Coursera
  • Choose Cost-Effective ML Algorithms Fast: Coursera
  • Exploring Generative AI for Learning Design: University of Michigan
  • Evaluate and Create ML Workflows Visually: Coursera
  • Data Engineering and Spark Foundations for AI and ML: Edureka
  • Building, Evaluating, and Operationalizing ML Models: Packt
  • Optimize Java Memory for ML Performance: 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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