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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
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    K

    KodeKloud

    Hands-On MLOps Fundamentals for ML Engineers

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Architecture, Model Training, Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Data Governance, Machine Learning, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Unsupervised Learning, Automation

    Beginner · Specialization · 1 - 3 Months

  • Status: New
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    Coursera

    Validate, Analyze, and Monitor ML Models

    Skills you'll gain: Decision Intelligence, Verification And Validation, Release Management, Maintainability, Machine Learning, Experimentation, Performance Testing, Benchmarking, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Coursera

    Harden AI: Secure Your ML Pipelines

    Skills you'll gain: AI Security, Vulnerability Scanning, Hardening, DevSecOps, Vulnerability Assessments, Responsible AI, Identity and Access Management, MLOps (Machine Learning Operations), Cyber Governance, Infrastructure Security, Security Controls, CI/CD, Continuous Monitoring, AI Personalization, Resilience, Compliance Management, Anomaly Detection, Data Integrity, Containerization, Engineering

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Arduino Bootcamp - Learning Through Projects

    Skills you'll gain: Wireless Networks, Control Systems, Interactive Design, Software Installation, Electronics, Electronic Hardware, Telecommunications, Hardware Design, Program Development, Communication Systems, Display Devices, Embedded Software, Integrated Development Environments, Electronic Systems, Embedded Systems, Electronic Components, Development Environment, Electrical Wiring, Programming Principles, Open Source Technology

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Coursera

    Automate and Evaluate ML Pipeline Tests

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Regression Testing, Unit Testing, Test Case, System Testing, Test Automation, Software Testing, Integration Testing, Test Planning, Verification And Validation, Data Integrity, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Debug ML Code: Fix, Trace & Evaluate

    Skills you'll gain: Regression Testing, Debugging, Unit Testing, Test Case, Code Review, Root Cause Analysis, Data Integrity

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    G

    Google Cloud

    ML Pipelines on Google Cloud - 한국어

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

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Michigan

    Learning Experience Design: Development and Evaluation

    Skills you'll gain: Program Evaluation, Web Content Accessibility Guidelines, Educational Materials, Multimedia, Instructional Design, Professional Development, Content Creation, Design Strategies, Communication

    4.7
    Rating, 4.7 out of 5 stars
    ·
    43 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    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
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    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
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    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
    U

    University of Glasgow

    6G Vision: ML, Intelligent Surfaces & Optical Networks

    Skills you'll gain: Wireless Networks, Emerging Technologies, Digital Communications, Communication Systems, Internet Of Things, Software-Defined Networking, Network Planning And Design, Distributed Computing, Artificial Intelligence and Machine Learning (AI/ML), Electrical Engineering, Electronics Engineering, Zero Trust Network Access, AI Integrations, Information Technology, Machine Learning, Trustworthiness

    4.8
    Rating, 4.8 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Hands-On MLOps Fundamentals for ML Engineers: KodeKloud
  • Validate, Analyze, and Monitor ML Models: Coursera
  • Harden AI: Secure Your ML Pipelines: Coursera
  • Arduino Bootcamp - Learning Through Projects: Packt
  • Automate and Evaluate ML Pipeline Tests: Coursera
  • Debug ML Code: Fix, Trace & Evaluate: Coursera
  • ML Pipelines on Google Cloud - 한국어: Google Cloud
  • Learning Experience Design: Development and Evaluation: University of Michigan
  • Exploring Generative AI for Learning Design: University of Michigan
  • Evaluate and Create ML Workflows Visually: 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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