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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.


More to explore:

Popular Applied Machine Learning Courses and Certifications


  • Status: New
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    Coursera

    GPU Clusters & Containers

    Skills you'll gain: Model Deployment, Containerization, Application Deployment, MLOps (Machine Learning Operations), AI Orchestration, Docker (Software), Kubernetes, AI Workflows, Distributed Computing, Cloud Computing, Scalability, Cloud Infrastructure

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    AWS Serverless & AI/ML Project-Based Cloud Specialization

    Skills you'll gain: Serverless Computing, API Gateway, Image Analysis, Amazon CloudWatch, Extensible Markup Language (XML), JSON, Computer Vision, Cloud Deployment, API Design, Amazon Web Services, Event-Driven Programming, Amazon S3, Microservices, Cloud Development, AWS CloudFormation, Application Programming Interface (API), AI Enablement, Cloud Applications, Authentications, Artificial Intelligence and Machine Learning (AI/ML)

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    Google

    Automate Cybersecurity Tasks with Python

    Skills you'll gain: Debugging, Python Programming, Cybersecurity, Scripting, Programming Principles, IT Automation, Algorithms, Automation, Computer Programming, File Management, Data Structures

    4.8
    Rating, 4.8 out of 5 stars
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    3.5K reviews

    Beginner · Course · 1 - 4 Weeks

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    Snowflake

    Intro to Snowflake for Devs, Data Scientists, Data Engineers

    Skills you'll gain: Data Engineering, Data Manipulation, Data Warehousing, Cloud Development, SQL, Data Pipelines, Extract, Transform, Load, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC), Stored Procedure, Data Storage, Database Management, Generative AI, Data Science, Data Import/Export, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
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    216 reviews

    Beginner · Course · 1 - 4 Weeks

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    LearnQuest

    Ethics in the Age of AI

    Skills you'll gain: Data Ethics, Responsible AI, Model Evaluation, Predictive Modeling, AI Security, OpenAI, Algorithms, Data Collection, Machine Learning, Predictive Analytics, Information Privacy, Artificial Intelligence, Game Theory, Large Language Modeling, Ethical Standards And Conduct, Data Preprocessing, Personally Identifiable Information, Machine Learning Algorithms, Analytical Skills, AI Enablement

    4.6
    Rating, 4.6 out of 5 stars
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    919 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    KodeKloud

    Deploy ML Models to Production

    Skills you'll gain: AWS SageMaker, Model Deployment, MLOps (Machine Learning Operations), Data Governance, Data Management, Data Security, Application Deployment, Personally Identifiable Information, Cloud Deployment, General Data Protection Regulation (GDPR), Continuous Deployment, Model Evaluation, Application Programming Interface (API)

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Minnesota

    Software Development Lifecycle

    Skills you'll gain: User Story, Agile Software Development, Software Design Patterns, Design Thinking, Software Development Methodologies, Software Design, Agile Methodology, Agile Project Management, Process Mapping, Software Engineering, Kanban Principles, Software Development Life Cycle, Software Quality Assurance, Program Development, Application Security, Scrum (Software Development), Object Oriented Design, Software Architecture, User Experience Design, Software Quality (SQA/SQC)

    4.7
    Rating, 4.7 out of 5 stars
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    9.8K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Packt

    Mastering Python for Data Science

    Skills you'll gain: Data Science, Statistical Inference, Data Visualization, Pandas (Python Package), Probability & Statistics, Statistics, Regression Analysis, Apache Hadoop, Big Data, Machine Learning, Data Manipulation, Data Preprocessing, Data Analysis, Analytics, Random Forest Algorithm, Python Programming, Data Mapping, Object Oriented Programming (OOP), JavaScript Frameworks, HTML and CSS

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    EDUCBA

    Apply Generative AI Strategies for Effective Leadership

    Skills you'll gain: AI Enablement, Strategic Leadership, Leadership, Strategic Thinking, Data Ethics, Business Transformation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Duke University

    Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, AI Security, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, AI Product Strategy, Statistical Modeling, Python Programming, Machine Learning, Model Evaluation, Applied Machine Learning, Logistic Regression, Machine Learning Methods, Deep Learning, Visualization (Computer Graphics), Data Literacy

    4.6
    Rating, 4.6 out of 5 stars
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    81 reviews

    Intermediate · Specialization · 1 - 3 Months

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    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
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    Pragmatic AI Labs

    Enterprise AI and Data Engineering with Databricks

    Skills you'll gain: Prompt Engineering, MLOps (Machine Learning Operations), Data Pipelines, Databricks, Generative AI, Data Lakes, Generative AI Agents, Data Governance, Data Architecture, AI Enablement, Data Modeling, Data Management, Data Processing, Data Strategy, Data Quality, Scala Programming, SQL, Python Programming, Data Visualization, Data Literacy

    Beginner · Specialization · 3 - 6 Months

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

  • GPU Clusters & Containers: Coursera
  • AWS Serverless & AI/ML Project-Based Cloud Specialization: EDUCBA
  • Automate Cybersecurity Tasks with Python: Google
  • Intro to Snowflake for Devs, Data Scientists, Data Engineers: Snowflake
  • Ethics in the Age of AI: LearnQuest
  • Deploy ML Models to Production: KodeKloud
  • Software Development Lifecycle: University of Minnesota
  • Mastering Python for Data Science: Packt
  • Apply Generative AI Strategies for Effective Leadership: EDUCBA
  • Explainable AI (XAI): Duke University

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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