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    Learn Advanced Machine Learning Skills

    Gain expertise in machine learning with advanced algorithms, model tuning, and real-world applications.

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    Explore Advanced Machine Learning Courses

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps | Machine Learning Operations

      Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Data Ethics, Application Deployment, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      480 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      The Nuts and Bolts of Machine Learning

      Skills you'll gain: Feature Engineering, Advanced Analytics, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Workflow Management, Data Ethics, Supervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning, Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      538 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Advanced Machine Learning on Google Cloud

      Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Tensorflow, Large Language Modeling, Reinforcement Learning, Computer Vision, Google Cloud Platform, Keras (Neural Network Library), Systems Design, Image Analysis, Hybrid Cloud Computing, Applied Machine Learning, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Distributed Computing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Michigan

      More Applied Data Science with Python

      Skills you'll gain: Unsupervised Learning, Data Mining, ChatGPT, Applied Machine Learning, Anomaly Detection, Data Science, Supervised Learning, Machine Learning, Data Analysis, Data Manipulation, Data Pipelines, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Jupyter

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Google Advanced Data Analytics

      Skills you'll gain: Data Storytelling, Data Visualization, Data Ethics, Exploratory Data Analysis, Sampling (Statistics), Data Presentation, Data Visualization Software, Feature Engineering, Regression Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Advanced Analytics, Data Analysis, Tableau Software, Data Science, Statistical Analysis, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.1K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Mobile App Developers

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, Large Language Modeling, AI Personalization, Mobile Development, Data Ethics, OpenAI, Artificial Intelligence, Software Development Tools, Software Testing, Apple iOS, Test Automation, Software Development, Machine Learning Methods, DevSecOps, Application Development, Application Security, CI/CD, IBM Cloud

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.6K reviews

      Advanced · Specialization · 1 - 3 Months

    What brings you to Coursera today?

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      IBM RAG and Agentic AI

      Skills you'll gain: Prompt Engineering, Generative AI, Generative AI Agents, Agentic systems, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Software Design, Data Governance, Large Language Modeling, Application Development, Database Systems, Data Storage Technologies, Databases, Artificial Intelligence, NoSQL, Full-Stack Web Development, Flask (Web Framework), Database Management, Software Development

      4.5
      Rating, 4.5 out of 5 stars
      ·
      63 reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Google IT Automation with Python

      Skills you'll gain: Git (Version Control System), GitHub, Version Control, Cloud Services, Debugging, Puppet (Configuration Management Tool), Infrastructure as Code (IaC), Bash (Scripting Language), CI/CD, Cloud Computing, Technical Communication, Unit Testing, Web Services, Configuration Management, Scripting, Automation, Python Programming, Interviewing Skills, Applicant Tracking Systems, Programming Principles

      4.8
      Rating, 4.8 out of 5 stars
      ·
      49K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • G

      Google Cloud

      Attention Mechanism

      Skills you'll gain: Artificial Neural Networks, Machine Learning Methods, Deep Learning, Applied Machine Learning, Performance Tuning, Natural Language Processing

      4.2
      Rating, 4.2 out of 5 stars
      ·
      48 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Deep Learning for Healthcare

      Skills you'll gain: Deep Learning, Health Informatics, Generative AI, Image Analysis, Machine Learning, Keras (Neural Network Library), Applied Machine Learning, Health Care, Artificial Neural Networks, Supervised Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, PyTorch (Machine Learning Library), Graph Theory, Computer Vision, Network Analysis, Machine Learning Software, Unsupervised Learning, Big Data

      3.2
      Rating, 3.2 out of 5 stars
      ·
      46 reviews

      Advanced · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Statistical Modeling, Bayesian Statistics, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Enterprise Workflow

      Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Dashboard, Unit Testing, Artificial Neural Networks, Data Science, Machine Learning, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      326 reviews

      Advanced · Specialization · 3 - 6 Months

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

    • MLOps | Machine Learning Operations: Duke University
    • The Nuts and Bolts of Machine Learning: Google
    • Advanced Machine Learning on Google Cloud: Google Cloud
    • More Applied Data Science with Python: University of Michigan
    • Google Advanced Data Analytics: Google
    • Generative AI for Mobile App Developers: IBM
    • IBM RAG and Agentic AI: IBM
    • Google IT Automation with Python: Google
    • Attention Mechanism: Google Cloud
    • Deep Learning for Healthcare: University of Illinois Urbana-Champaign

    Frequently Asked Questions about Advanced Machine Learning

    It depends on your learning style and whether you want to focus more on theory or hands-on skills using Python:

    • The original Supervised Machine Learning: Regression and Classification course is great if you want a deep, math-focused understanding of ML algorithms and don’t mind using Octave/MATLAB.
    • The Machine Learning Specialization is better if you want modern, Python-based training that’s more applied and modular.
    • If you’re not a developer or want to understand what machine learning is and how it impacts work and society, start with AI For Everyone—Andrew Ng’s non-technical introduction to AI concepts, business use cases, and ethical considerations.
    • Interested in building real-world applications with language models like ChatGPT? Consider ChatGPT Prompt Engineering for Developers (Guided Project) by DeepLearning.AI and OpenAI—it’s a fast, practical way to understand LLM behavior and prompt design. ‎

    Try Andrew Ng's Machine Learning Specialization for learners who want to use practical tools right away. ‎

    A course teaches one focused topic—offering concise, standalone learning experiences.

    • Machine Learning (Octave/MATLAB; foundational algorithms and math)
    • AI For Everyone (non-technical intro to AI impacts and strategy)
    • Neural Networks and Deep Learning (part of a larger specialization)

    A Specialization is a curated series of courses—designed to build expertise through a structured progression.

    • Machine Learning Specialization (3 courses; Python-based, covering supervised & unsupervised methods)
    • Deep Learning Specialization (5 courses; focused on neural networks, CNNs, RNNs, and project structure)

    A Professional Certificate is a career-ready program—often including hands-on projects and aligned with industry roles.

    • DeepLearning.AI TensorFlow Developer Professional Certificate (covers TensorFlow, model building, deployment workflows) ‎

    You'll want to make sure you have a strong foundation of machine learning fundamentals before moving onto advanced concepts and classes. It's helpful to know the fundamentals of scalable data science and mathematics, including linear algebra and multivariate calculus. Programming, especially in Python, is also recommended, as is basic knowledge of SQL. ‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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