
University of Colorado Boulder
Skills you'll gain: Recurrent Neural Networks (RNNs), Generative AI, Fine-tuning, Vision Transformer (ViT), Machine Learning Methods, Model Optimization, Model Training, Large Language Modeling, Embeddings, Network Architecture
★ 4.8 (6) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Fine-tuning, Tensorflow, Natural Language Processing, Network Architecture, Model Training
Advanced · Course · 1 - 3 Months

Skills you'll gain: Artificial Neural Networks, Deep Learning, Convolutional Neural Networks, Image Analysis, Keras (Neural Network Library), Model Training, Tensorflow, Network Architecture, Artificial Intelligence, Model Optimization, Machine Learning, Linear Algebra
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Time Series Analysis and Forecasting, Tensorflow, Natural Language Processing, Forecasting, Image Analysis, Deep Learning, Text Mining, Artificial Neural Networks, Predictive Analytics, Predictive Modeling, Data Preprocessing, Supervised Learning, Model Training, Data Science, Machine Learning, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Autoencoders, Model Deployment, Deep Learning, Model Optimization, PyTorch (Machine Learning Library), Model Evaluation, Artificial Neural Networks, Model Training, Convolutional Neural Networks, Performance Tuning, Artificial Intelligence, Scalability, Python Programming, Machine Learning, Memory Management, Image Quality, Performance Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Model Training, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Model Optimization, Image Analysis, Model Evaluation, Classification Algorithms
★ 4.5 (95) · Intermediate · Course · 1 - 3 Months

Illinois Tech
Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Generative AI, Convolutional Neural Networks, Transfer Learning, Model Optimization, Image Analysis, Artificial Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Fine-tuning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Network Architecture, Computer Vision, Network Model, Natural Language Processing, Model Training
★ 4.5 (34) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Model Deployment, Generative AI, Keras (Neural Network Library), NumPy, Model Optimization, Applied Machine Learning, Data Processing, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Generative Model Architectures, Deep Learning, Transfer Learning, Artificial Intelligence, Machine Learning, Data Science
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Model Training, Fine-tuning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Predictive Modeling, Performance Tuning
★ 4.9 (19) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Plot (Graphics), Data Visualization, NumPy, Scientific Visualization, Machine Learning Algorithms, Keras (Neural Network Library), Statistical Visualization, Pandas (Python Package), Model Training, Applied Machine Learning, Data Science, Artificial Intelligence, Machine Learning
★ 4.3 (7) · Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Model Optimization, Autoencoders, Generative AI, Unsupervised Learning, Tensorflow, Generative Adversarial Networks (GANs), Generative Model Architectures, Transfer Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Time Series Analysis and Forecasting
★ 4.4 (1K) · Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Recurrent Neural Networks (RNNs), Model Optimization, Convolutional Neural Networks, Transfer Learning, Model Training, Model Evaluation
Intermediate · Course · 1 - 4 Weeks