
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
★ 4.9 (8.7K) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, Generative Model Architectures, Model Deployment, Azure DevOps Pipelines, Large Language Modeling, Model Training, Cloud Deployment, CI/CD, Fine-tuning
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Machine Learning Algorithms, Machine Learning Methods, Data Management, Model Training, Data Import/Export, Data Pipelines, Development Environment, Statistical Modeling
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Optimization, Microsoft Azure, Prompt Engineering, Model Training, Cloud Deployment, Retrieval-Augmented Generation, Prompt Patterns, Prompt Engineering Tools, Model Evaluation, AI Workflows, Data Pipelines, Fine-tuning, Continuous Monitoring, Data Preprocessing
Intermediate · Course · 1 - 4 Weeks

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, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Science, Machine Learning, Python Programming
★ 4.6 (3.6K) · Intermediate · Professional Certificate · 3 - 6 Months

University of Washington
Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning Methods, Machine Learning, Image Analysis, Machine Learning Algorithms, AI Personalization, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Supervised Learning, Bayesian Statistics, Statistical Machine Learning, Model Training, Logistic Regression, Statistical Modeling, Data Mining
★ 4.6 (16K) · Intermediate · Specialization · 3 - 6 Months

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
★ 4.6 (3.4K) · Intermediate · Specialization · 3 - 6 Months

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, Data Wrangling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting
★ 4.5 (15) · Intermediate · Course · 1 - 4 Weeks

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
★ 4.7 (3.8K) · Intermediate · Course · 1 - 3 Months

Dartmouth College
Skills you'll gain: Supervised Learning, Predictive Modeling, Logistic Regression, Statistical Modeling, Model Evaluation, Statistical Machine Learning, Machine Learning Methods, Applied Machine Learning, Machine Learning, Generative Model Architectures, Machine Learning Algorithms, Classification Algorithms, Model Optimization, Regression Analysis, Probability & Statistics
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
★ 4.6 (8.8K) · Intermediate · 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, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Model Optimization, Predictive Analytics, Classification Algorithms
★ 4.7 (18K) · Intermediate · Course · 1 - 3 Months