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    • Blended Learning

    Blended Learning Courses Online

    Explore blended learning techniques for combining online and face-to-face education. Learn to design and deliver effective blended learning experiences.

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    Explore the Blended Learning Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Fundamentals of Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Supervised Learning, Markov Model, Algorithms, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Developer

      Skills you'll gain: Prompt Engineering, Generative AI, Software Development Life Cycle, Software Architecture, ChatGPT, Web Development Tools, Responsive Web Design, Development Environment, Generative AI Agents, Software Design, Large Language Modeling, Software Engineering, Flask (Web Framework), Software Development Methodologies, Web Development, Professional Networking, Web Scraping, Python Programming, Machine Learning, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      73K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      N
      G
      N
      G

      Multiple educators

      Machine Learning for Trading

      Skills you'll gain: Tensorflow, Supervised Learning, Reinforcement Learning, Keras (Neural Network Library), Time Series Analysis and Forecasting, Financial Trading, Machine Learning, Google Cloud Platform, Statistical Machine Learning, Portfolio Management, Securities Trading, Data Pipelines, Deep Learning, Regression Analysis, Artificial Neural Networks, Market Trend, Technical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Financial Market

      3.9
      Rating, 3.9 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Probability & Statistics for Machine Learning & Data Science

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Bayesian Statistics, Probability Distribution, Probability & Statistics, Sampling (Statistics), Probability, A/B Testing, Statistics, Data Science, Statistical Analysis, Statistical Inference

      4.6
      Rating, 4.6 out of 5 stars
      ·
      586 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      University of London

      Machine Learning for All

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Artificial Intelligence, Data Ethics, Predictive Modeling, Feature Engineering, Machine Learning Algorithms, Supervised Learning, Data Collection, Software Testing, Development Testing

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Engineering Foundations

      Skills you'll gain: SQL, Web Scraping, Extract, Transform, Load, Database Design, MySQL, Relational Databases, Database Systems, Data Transformation, Big Data, IBM DB2, Stored Procedure, Databases, Data Architecture, Database Management, Data Pipelines, Data Storage Technologies, PostgreSQL, Object Oriented Programming (OOP), Data Analysis, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      57K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Artificial Intelligence, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      20K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      I

      IBM

      Machine Learning Introduction for Everyone

      Skills you'll gain: Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Deep Learning, Supervised Learning, Applied Machine Learning, Data Analysis, Computer Science, Artificial Intelligence, Unsupervised Learning, Classification And Regression Tree (CART), Predictive Modeling, Reinforcement Learning, Regression Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      288 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Machine Learning Algorithms, Dimensionality Reduction, Mathematical Modeling, Python Programming, Machine Learning, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      UNSW Sydney (The University of New South Wales)

      Learning to Teach Online

      Skills you'll gain: Learning Management Systems, Teaching, Education Software and Technology, Planning, Technology Strategies, End User Training and Support, Digital Communications, Innovation, Emerging Technologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Foundations for Everyone

      Skills you'll gain: Prompt Engineering, Generative AI Agents, Generative AI, OpenAI, ChatGPT, Process Design, IBM Cloud, Machine Learning, Self Service Technologies, Business Process Automation, Artificial Intelligence, Deep Learning, Application Deployment, Automation, Large Language Modeling, Natural Language Processing, Technical Writing, Customer Service, Image Analysis, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      29K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: SQL, Statistical Hypothesis Testing, Relational Databases, Statistical Analysis, Dashboard, Descriptive Statistics, Jupyter, Data Visualization, Stored Procedure, Statistical Methods, Web Scraping, Probability Distribution, Probability & Statistics, Statistics, Data Analysis Software, Data Visualization Software, Data Science, Object Oriented Programming (OOP), Data Analysis, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      73K reviews

      Beginner · Specialization · 3 - 6 Months

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

    • Fundamentals of Reinforcement Learning: University of Alberta
    • IBM AI Developer: IBM
    • Machine Learning for Trading: New York Institute of Finance
    • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
    • Machine Learning for All: University of London
    • Data Engineering Foundations: IBM
    • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
    • Machine Learning Introduction for Everyone: IBM
    • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
    • Learning to Teach Online: UNSW Sydney (The University of New South Wales)

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