Inquiry-based learning courses can help you learn critical thinking, problem-solving techniques, research methodologies, and effective questioning strategies. You can build skills in designing experiments, analyzing data, and facilitating discussions that encourage student engagement. Many courses introduce tools like digital platforms for collaborative projects, data visualization software, and assessment frameworks that enhance the inquiry process and support active learning.

Coursera
Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Data Visualization, Pandas (Python Package), Plot (Graphics), Statistical Visualization, Data Visualization Software, Analysis, Data Analysis, Statistical Analysis, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Pearson
Skills you'll gain: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Model Optimization, Tensorflow, LLM Application, Transfer Learning, Computer Vision, Responsible AI, Generative Model Architectures, Model Training, Natural Language Processing, Embeddings, Generative AI, Artificial Neural Networks
Intermediate · Specialization · 1 - 4 Weeks

Skills you'll gain: Autoencoders, Generative AI, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Model Optimization, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Fine-tuning, Machine Learning, Artificial Intelligence, Computer Vision
Intermediate · Course · 1 - 3 Months

University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Sampling (Statistics), Machine Learning Algorithms, Simulations, Machine Learning, Algorithms, Applied Machine Learning, Statistical Methods, Probability Distribution
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Autoencoders, Feature Engineering, Dimensionality Reduction, Supervised Learning, Generative AI, Classification Algorithms, Regression Analysis, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Scikit Learn (Machine Learning Library), Deep Learning, Data Science, Machine Learning, Python Programming
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months

MathWorks
Skills you'll gain: Reinforcement Learning, Agentic systems, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Control Systems
Beginner · Course · 1 - 4 Weeks
University of London
Skills you'll gain: Model Training, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Feature Engineering, Machine Learning, Artificial Intelligence, Statistical Machine Learning, Model Evaluation, Data Literacy, Machine Learning Algorithms, AI literacy, Responsible AI, Data Collection
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Training, Applied Machine Learning, Machine Learning Algorithms, Transfer Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning
Beginner · Specialization · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Model Training, Machine Learning Algorithms, Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Model Optimization, Artificial Neural Networks, Logistic Regression, Regression Analysis
Beginner · Course · 1 - 4 Weeks

University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Agentic systems, Markov Model, Decision Intelligence, Algorithms
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging
Intermediate · Course · 1 - 3 Months

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