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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
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    Multiple educators

    IBM and ISC2 Cybersecurity Specialist

    Skills you'll gain: Incident Response, Digital Forensics, Network Security, Computer Security Incident Management, Cloud Computing Architecture, Penetration Testing, Cloud Services, Business Continuity, Cloud Deployment, Disaster Recovery, Security Controls, Generative AI, Configuration Management, Governance, Cybersecurity, Data Storage, Peripheral Devices, Application Security, Information Technology, Cryptography

    4.7
    Rating, 4.7 out of 5 stars
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    14K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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    Coursera

    Advanced Multi-Agent AI System

    Skills you'll gain: LangGraph, AI Orchestration, System Monitoring, CrewAI, Agentic Workflows, Continuous Monitoring, Agentic systems, Enterprise Application Management, Event Monitoring, Artificial Intelligence and Machine Learning (AI/ML), Site Reliability Engineering, AI Enablement, Model Deployment, Generative AI Agents, Generative Model Architectures, AI Security, Systems Architecture, Software Architecture, Application Deployment, Middleware

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Northwestern University

    Modern Robotics: Mechanics, Planning, and Control

    Skills you'll gain: Robotics, Machine Controls, Control Systems, Automation Engineering, Mathematical Modeling, Mathematical Software, Simulation and Simulation Software, Engineering Calculations, Engineering, Mechanics, Mechanical Engineering, Artificial Intelligence, Vibrations, Applied Mathematics, Engineering Analysis, Automation, Virtual Environment, Torque (Physics), Graph Theory, Matlab

    4.7
    Rating, 4.7 out of 5 stars
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    1.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free
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    Infosec

    AI Security

    Skills you'll gain: Responsible AI, AI Security, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Governance, Law, Regulation, and Compliance, Information Privacy, Data Governance, Data Security, Machine Learning, Computer Security, Risk Management Framework

    4.6
    Rating, 4.6 out of 5 stars
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    178 reviews

    Beginner · Course · 1 - 3 Months

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    Coursera

    Github CoPilot for Beginners: Write Software With AI

    Skills you'll gain: Responsive Web Design, HTML and CSS, Web Design and Development, UI Components, Prompt Engineering, Web Development Tools, Web Development, Generative AI, Javascript, Software Engineering, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
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    73 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    Google Cloud

    Data Engineering, Big Data and ML on Google Cloud en Español

    Skills you'll gain: Model Deployment, Google Cloud Platform, Data Pipelines, Data Lakes, Dataflow, Big Data, Data Processing, Tensorflow, Apache Spark, Unstructured Data, Apache Hadoop, Data Warehousing, Applied Machine Learning, Data Infrastructure, Real Time Data, Cloud Storage, PySpark, Extract, Transform, Load, Feature Engineering, Cloud Computing

    4.7
    Rating, 4.7 out of 5 stars
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    814 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Saïd Business School, University of Oxford

    AI Foundations for Business Professionals

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, Responsible AI, OpenAI, Artificial Neural Networks, AI Security, Data Ethics, Governance, Artificial Intelligence, ChatGPT, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Agentic systems, Compliance Management, AI Product Strategy, Business Ethics, Risk Management, Machine Learning, Project Management

    4.8
    Rating, 4.8 out of 5 stars
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    205 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    Coursera

    Secure AI Model Deployments & Lifecycles

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), AI Security, Cloud Deployment, DevOps, CI/CD, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making

    Intermediate · Course · 1 - 4 Weeks

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    DeepLearning.AI

    Améliorez les réseaux neuronaux profonds

    Skills you'll gain: Deep Learning, Tensorflow, Model Evaluation, Applied Machine Learning, Artificial Neural Networks, Machine Learning Methods, Performance Tuning, Machine Learning, Data Validation, Debugging, Algorithms

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    Ludwig-Maximilians-Universität München (LMU)

    Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python

    Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Engineering Calculations, Differential Equations, Applied Mathematics, Mathematical Modeling, Distributed Computing, Python Programming, Mechanics, Vibrations, Simulations

    4.8
    Rating, 4.8 out of 5 stars
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    389 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Johns Hopkins University

    AI for Cybersecurity

    Skills you'll gain: Generative Adversarial Networks (GANs), Anomaly Detection, AI Security, Generative AI, Fraud detection, Intrusion Detection and Prevention, Model Evaluation, Malware Protection, Cyber Threat Hunting, Cybersecurity, Threat Detection, Cyber Threat Intelligence, Feature Engineering, Network Analysis, Cyber Attacks, Cyber Security Strategy, Applied Machine Learning, Email Security, Network Security, Jupyter

    4.3
    Rating, 4.3 out of 5 stars
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    100 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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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, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
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    1.4K reviews

    Advanced · Course · 1 - 3 Months

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

  • IBM and ISC2 Cybersecurity Specialist: ISC2
  • Advanced Multi-Agent AI System: Coursera
  • Modern Robotics: Mechanics, Planning, and Control: Northwestern University
  • AI Security: Infosec
  • Github CoPilot for Beginners: Write Software With AI: Coursera
  • Data Engineering, Big Data and ML on Google Cloud en Español: Google Cloud
  • AI Foundations for Business Professionals: Saïd Business School, University of Oxford
  • Secure AI Model Deployments & Lifecycles: Coursera
  • Améliorez les réseaux neuronaux profonds: DeepLearning.AI
  • Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)

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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