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  • Foundations Of Teaching For Learning Learners And Learning

Results for "foundations of teaching for learning: learners and learning"


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    Packt

    Foundations of IT Fundamentals

    Skills you'll gain: Programming Principles, Information Technology, Operating Systems, Web Applications, Collaborative Software, Computer Literacy, Python Programming, Application Development, Microsoft Office, Linux, Microsoft Windows, Mac OS

    4.2
    Rating, 4.2 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Foundations of Coding Full-Stack

    Skills you'll gain: Microsoft Copilot, Programming Principles, Full-Stack Web Development, GitHub, Version Control, Program Development, Debugging, Computational Thinking, Pseudocode, Git (Version Control System), Web Design and Development, Computer Programming, Algorithms, Web Development, C# (Programming Language), Data Structures, Back-End Web Development

    4.8
    Rating, 4.8 out of 5 stars
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    155 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Deep Teaching Solutions

    Uncommon Sense Teaching: Teaching Online

    Skills you'll gain: Student Engagement, Instructional Strategies, Learning Theory, Education Software and Technology, Discussion Facilitation, Learning Management Systems, Innovation, Digital Communications

    5
    Rating, 5 out of 5 stars
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    64 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    P

    Packt

    Foundations of Deep Learning and Neural Networks

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

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Machine Learning Algorithms, Jupyter, Data Science, Advanced Mathematics, Statistics, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
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    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
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    P

    Pearson

    Learning Deep Learning

    Skills you'll gain: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, LLM Application, Computer Vision, Responsible AI, Natural Language Processing, Generative AI, Artificial Neural Networks, Data Ethics, Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Methods, Artificial Intelligence, Application Deployment, Time Series Analysis and Forecasting

    Intermediate · Specialization · 1 - 4 Weeks

  • Status: Free Trial
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    DeepLearning.AI

    Unsupervised Learning, Recommenders, Reinforcement Learning

    Skills you'll gain: Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    5.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Generative Model Architectures, Deep Learning, Unsupervised Learning, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning Algorithms, Machine Learning, Artificial Intelligence, Computer Vision, Applied Machine Learning, Dimensionality Reduction, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
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    276 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Data Transformation, Data Manipulation, Data Science, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    2.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    GenAI for Learning and Development

    Skills you'll gain: Responsible AI, Microsoft Copilot, Generative AI, Training and Development, Instructional Design, ChatGPT, Productivity Software, Training Programs, Prompt Engineering, Developing Training Materials, Learning Management Systems, Employee Training, Innovation, Ethical Standards And Conduct, Case Studies, Automation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age

    Skills you'll gain: Differentiated Instruction, Collaborative Software, Education Software and Technology, Learning Management Systems, Digital Transformation, Emerging Technologies, Innovation, Multimedia, Digital Communications

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.6K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.1K reviews

    Intermediate · Specialization · 1 - 3 Months

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In summary, here are 10 of our most popular foundations of teaching for learning: learners and learning courses

  • Foundations of IT Fundamentals: Packt
  • Foundations of Coding Full-Stack: Microsoft
  • Uncommon Sense Teaching: Teaching Online: Deep Teaching Solutions
  • Foundations of Deep Learning and Neural Networks: Packt
  • Mathematics for Machine Learning: Imperial College London
  • Learning Deep Learning: Pearson
  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
  • Deep Learning and Reinforcement Learning: IBM
  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • GenAI for Learning and Development: Coursera

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