Applied Machine Learning

Applied Machine Learning is a multidisciplinary approach to constructing algorithms that can learn from and predict future data. Coursera's Applied Machine Learning catalogue provides you with the necessary knowledge and skills to effectively use machine learning in a range of practical applications. You'll learn how to process and analyze large-scale data, build predictive models using supervised and unsupervised learning techniques, and apply these models to real-world problems such as image and speech recognition, autonomous driving, and predictive analytics. Enhance your problem-solving abilities and gain a competitive edge in fields like data science, artificial intelligence, and software engineering by mastering machine learning techniques such as decision trees, neural networks, regression, and clustering.
120credentials
1online degree
438courses

Explore the Applied Machine Learning Course Catalog

  • Google Cloud

    Skills you'll gain: Data Ethics, Responsible AI, Data Analysis, Data Visualization Software, Artificial Intelligence, Machine Learning, Applied Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview

    Google Cloud

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Generative Model Architectures, Generative AI, Applied Machine Learning, Deep Learning, Natural Language Processing, Artificial Neural Networks

    Advanced · Course · 1 - 4 Weeks

  • Google Cloud

    Skills you'll gain: Predictive Analytics, Big Data, Predictive Modeling, Advanced Analytics, Analytics, Applied Machine Learning, Google Cloud Platform, MLOps (Machine Learning Operations), Data Analysis, Machine Learning Methods, Data Modeling

    Beginner · Course · 1 - 4 Weeks

  • Google Cloud

    Skills you'll gain: Google Gemini, Customer Relationship Management, Generative AI, Applied Machine Learning, Big Data, Predictive Modeling, Artificial Intelligence, Query Languages, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Data Processing, Google Cloud Platform, Data Modeling, Data Management, Data Storage, Data Import/Export, Applied Machine Learning, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Google Cloud

    Skills you'll gain: Google Gemini, Generative AI, Google Cloud Platform, Big Data, Customer Relationship Management, Applied Machine Learning, SQL, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • University of Colorado Boulder

    Skills you'll gain: Unsupervised Learning, Data Mining, Statistical Modeling, Supervised Learning, Deep Learning, Service Level, Probability, Machine Learning Algorithms, Applied Machine Learning, Statistical Inference, Statistical Hypothesis Testing, Dimensionality Reduction, Data Warehousing, Statistical Machine Learning, Data Pipelines, Data Processing, Performance Testing, Bash (Scripting Language), Data Science, Statistical Methods

    Credit offered

    Graduate Certificate · 6 - 12 Months

  • University of Pittsburgh

    Skills you'll gain: LLM Application, Tool Calling, Database Systems, Data Visualization, Database Design, Apache Spark, Predictive Modeling, Large Language Modeling, Database Management, Unsupervised Learning, Data Ethics, Bayesian Statistics, Data Visualization Software, Cloud Computing, Linear Algebra, Data Governance, Regression Analysis, Exploratory Data Analysis, Applied Machine Learning, Data Analysis

    Earn a degree

    Degree · 1 - 4 Years