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.

Coursera
Skills you'll gain: Model Deployment, Fine-tuning, PyTorch (Machine Learning Library), Model Evaluation, Model Training, Vision Transformer (ViT), Model Optimization, Transfer Learning, MLOps (Machine Learning Operations), Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), Distributed Computing, Performance Tuning, Tensorflow, Deep Learning, Cloud Computing, Data Pipelines
Advanced · Specialization · 1 - 3 Months

Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Data-Driven Decision-Making, Model Training, Applied Machine Learning, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Development Environment
Beginner · Project · Less Than 2 Hours

Microsoft
Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, Machine Learning Software, Model Training, Regression Analysis, Predictive Modeling, Machine Learning, No-Code Development, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Intelligence, Classification Algorithms, Supervised Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Applied Machine Learning, Model Training, Predictive Modeling, Machine Learning Algorithms, Statistical Methods, Machine Learning, Dimensionality Reduction, Python Programming, Logistic Regression, Model Optimization, Classification Algorithms
Intermediate · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Machine Learning, Model Training, Model Optimization, Machine Learning Algorithms, Unsupervised Learning, Python Programming, Classification Algorithms, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Model Training, Machine Learning Methods, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Machine Learning Software, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Forecasting, Data Processing, Anomaly Detection
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Feature Engineering, Dimensionality Reduction, Supervised Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Machine Learning Methods, Statistical Hypothesis Testing, Model Training, Data Processing, Machine Learning
Intermediate · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: PyTorch (Machine Learning Library), Model Deployment, Hugging Face, Model Optimization, Fine-tuning, Convolutional Neural Networks, Transfer Learning, Data Quality, Generative AI, Data Manipulation, Deep Learning, Generative Model Architectures, Model Training, Image Analysis, MLOps (Machine Learning Operations), Large Language Modeling, Data Pipelines, Artificial Neural Networks, Computer Vision, Natural Language Processing
Intermediate · Professional Certificate · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Transfer Learning, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Model Training, Logistic Regression, Image Analysis, Applied Machine Learning, Model Evaluation, Computer Vision, Classification Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistical Methods
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Predictive Modeling, Model Training, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Model Training, Continuous Deployment, Model Evaluation, Data Preprocessing, Model Optimization, Machine Learning, Applied Machine Learning, Data Validation, Data Integrity, Data Maintenance, Data Quality, Data Synthesis, Data Collection, System Monitoring, Continuous Monitoring, Unstructured Data
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, Model Training, NumPy, Machine Learning Algorithms, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Model Optimization, Regression Analysis, Algorithms
Beginner · Course · 1 - 4 Weeks