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  • Foundations Of Teaching For Learning Planning For Teaching And Learning

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


  • C

    Coursera

    Preparation for Job Interviews

    Skills you'll gain: Interviewing Skills, Recruitment, Oral Expression, Follow Through, Communication, Business Writing

    4.3
    Rating, 4.3 out of 5 stars
    ·
    939 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    U

    University of Virginia

    Foundations of Diversity and Inclusion at Work TeachOut

    Skills you'll gain: Diversity Equity and Inclusion Initiatives, Workplace inclusivity, Diversity and Inclusion, Diversity Awareness, Organizational Change, Emotional Intelligence, Culture Transformation, Social Justice, Empathy, Conflict Management, Leadership, Business Strategy

    4.4
    Rating, 4.4 out of 5 stars
    ·
    153 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Production Machine Learning Systems - Français

    Skills you'll gain: Model Deployment, Tensorflow, MLOps (Machine Learning Operations), Dependency Analysis, Google Cloud Platform, Applied Machine Learning, Model Evaluation, Machine Learning, Performance Tuning, Data Validation, Distributed Computing, Scalability, Data Pipelines, Debugging

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    I

    IE Business School

    Basics of Accounting for Assets

    Skills you'll gain: Revenue Recognition, Inventory Accounting, Accrual Accounting, Generally Accepted Accounting Principles (GAAP), Accounting, Accounts Receivable, Financial Accounting, Financial Statement Analysis, Financial Statements, Finance, Estimation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    Foundations of Agile Project Management

    Skills you'll gain: Agile Project Management, Agile Methodology, Scaled Agile Framework, Kanban Principles, Waterfall Methodology, Lean Methodologies

    4.9
    Rating, 4.9 out of 5 stars
    ·
    31 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Foundations of Coding Back-End

    Skills you'll gain: Back-End Web Development, Program Development, Algorithms, Integrated Development Environments, Programming Principles, Pseudocode, Debugging, Computational Thinking, Engineering Software, Diagram Design, C# (Programming Language), Version Control, Data Flow Diagrams (DFDs), Software Engineering, GitHub, Git (Version Control System), Data Structures, Microsoft Copilot

    4.6
    Rating, 4.6 out of 5 stars
    ·
    106 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Deep Learning with PyTorch : Siamese Network

    Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision

    4.7
    Rating, 4.7 out of 5 stars
    ·
    49 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Machine Learning, Data Science and Generative AI with Python

    Skills you'll gain: Apache Spark, PySpark, Retrieval-Augmented Generation, OpenAI API, Generative AI, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Transfer Learning, Deep Learning, ChatGPT, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Data Preprocessing, Data Analysis, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Exploratory Data Analysis, Machine Learning, Classification Algorithms, Random Forest Algorithm, Responsible AI

    4.8
    Rating, 4.8 out of 5 stars
    ·
    16 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Random Forest Algorithm, Decision Tree Learning, Supervised Learning, Logistic Regression, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started

    Skills you'll gain: MLOps (Machine Learning Operations), Kubernetes, Model Deployment, Google Cloud Platform, CI/CD, AI Workflows, Docker (Software), Containerization, Cloud Deployment, Devops Tools, Tensorflow

    4
    Rating, 4 out of 5 stars
    ·
    481 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SkillUp

    Foundations of AI in Healthcare

    Skills you'll gain: Clinical Informatics, Clinical Research, Artificial Intelligence, MLOps (Machine Learning Operations), Health Informatics, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

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

  • Preparation for Job Interviews: Coursera
  • Foundations of Diversity and Inclusion at Work TeachOut: University of Virginia
  • Production Machine Learning Systems - Français: Google Cloud
  • Basics of Accounting for Assets: IE Business School
  • Foundations of Agile Project Management: Google
  • Foundations of Coding Back-End: Microsoft
  • Deep Learning with PyTorch : Siamese Network: Coursera
  • Machine Learning, Data Science and Generative AI with Python: Packt
  • Interpretable Machine Learning Applications: Part 4: Coursera
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University

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