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Blended Learning Courses

Blended learning courses can help you learn instructional design, effective assessment strategies, and techniques for integrating online and face-to-face teaching. You can build skills in creating engaging learning experiences, utilizing multimedia resources, and fostering collaboration among students. Many courses introduce tools like Learning Management Systems (LMS), video conferencing software, and interactive platforms, demonstrating how these technologies enhance the blended learning environment and support diverse learning needs.

Popular Blended Learning Courses and Certifications


  • M

    Maven Analytics

    Complete Visual Guide to Machine Learning

    Skills you'll gain: Unsupervised Learning, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Model Training, Applied Machine Learning, Time Series Analysis and Forecasting, Data Analysis, Model Optimization, Classification Algorithms, Statistical Analysis, Data Science, Machine Learning Methods, Forecasting, Statistical Methods, Data Preprocessing, Data Mining, Machine Learning, Supervised Learning, Business Intelligence

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Production Machine Learning Systems - Français

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

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Vector Databases for Machine Learning: A Comprehensive Guide

    Skills you'll gain: Vector Databases, Retrieval-Augmented Generation, Embeddings, Performance Tuning, Applied Machine Learning, LangChain, Document Management, Docker (Software), Agentic systems, Generative AI, Generative Model Architectures, Model Deployment, LLM Application, Technical Communication, Multimodal Prompts, Search Engine Optimization, Metadata Management, Data Pipelines, Machine Learning, Data Migration

    Intermediate · Specialization · 3 - 6 Months

  • B

    Board Infinity

    Deep Learning: Advanced Backbones and Efficient GPU Training

    Skills you'll gain: PyTorch (Machine Learning Library), Fine-tuning, Deep Learning, Vision Transformer (ViT), Transfer Learning, Convolutional Neural Networks, Model Optimization, Model Training, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Distributed Computing, Data Preprocessing, Embeddings, Memory Management

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Getting Started with BigQuery Machine Learning

    Skills you'll gain: Model Evaluation, Google Cloud Platform, Big Data, Applied Machine Learning, Predictive Modeling, Model Training, Analytics, Cloud Computing, Predictive Analytics, Machine Learning, SQL

    Beginner · Project · Less Than 2 Hours

  • J

    Johns Hopkins University

    Reliability, Cloud Computing and Machine Learning

    Skills you'll gain: Data Warehousing, Apache Hadoop, Transaction Processing, Distributed Computing, Database Systems, Applied Machine Learning, Database Management Systems, Data Architecture, Database Architecture and Administration, Cloud Computing, Big Data, Data Processing, Data Access, Machine Learning, Scalability, Data Integrity, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning with ChatGPT: Image Classification Model

    Skills you'll gain: Model Evaluation, ChatGPT, Generative AI, Fine-tuning, Keras (Neural Network Library), Large Language Modeling, Model Training, Model Optimization, Applied Machine Learning, Data Preprocessing, Image Analysis, Data Import/Export, Test Data, Machine Learning, Python Programming, Artificial Neural Networks

    ★ 4.4 (35) · Intermediate · Guided Project · Less Than 2 Hours

  • B

    Board Infinity

    DevOps for Machine Learning: CI/CD, APIs & Deployment

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, DevOps, CI/CD, Containerization, Application Deployment, Devops Tools, Cloud Deployment, Continuous Integration, Continuous Deployment, Docker (Software), Model Training, Model Evaluation, Restful API, Version Control, Git (Version Control System), Application Programming Interface (API), GitHub, API Design, Automation

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Auto Machine Learning (AutoML) Using AutoGluon

    Skills you'll gain: Applied Machine Learning, Machine Learning Methods, Classification Algorithms, Machine Learning Software, Model Evaluation, Model Training, Model Optimization, Machine Learning, Predictive Modeling, Python Programming

    Beginner · Guided Project · Less Than 2 Hours

  • 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, Machine Learning Methods, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Model Optimization, Logistic Regression, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

  • U

    University of Michigan

    Generative AI as a Learning Design Partner

    Skills you'll gain: Generative AI, AI Personalization, Responsible AI, AI powered creativity, Education Software and Technology, ChatGPT, Instructional Design, AI literacy, Ideation, AI Integrations, Brainstorming, Data Ethics, Design Strategies, Content Creation, Emerging Technologies, Persona Development, Professional Development

    ★ 4.7 (87) · Beginner · Specialization · 1 - 3 Months

  • E

    EDUCBA

    Octave Machine Learning: Apply, Analyze & Build

    Skills you'll gain: Scalability, Time Series Analysis and Forecasting, File I/O, Predictive Modeling, Code Reusability, Programming Principles, Data Import/Export, Matlab, Scripting, Data Analysis, Data Processing, Computational Logic, Data Manipulation, Applied Machine Learning, File Management, Functional Design

    Mixed · Course · 1 - 4 Weeks

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

  • Complete Visual Guide to Machine Learning: Maven Analytics
  • Production Machine Learning Systems - Français: Google Cloud
  • Vector Databases for Machine Learning: A Comprehensive Guide: Coursera
  • Deep Learning: Advanced Backbones and Efficient GPU Training: Board Infinity
  • Getting Started with BigQuery Machine Learning: Google Cloud
  • Reliability, Cloud Computing and Machine Learning: Johns Hopkins University
  • Machine Learning with ChatGPT: Image Classification Model: Coursera
  • DevOps for Machine Learning: CI/CD, APIs & Deployment: Board Infinity
  • Auto Machine Learning (AutoML) Using AutoGluon : Coursera
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University

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