
Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression, Image Analysis, Data Preprocessing, Applied Machine Learning, Model Deployment
Intermediate · Professional Certificate · 3 - 6 Months
DeepLearning.AI
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Computer Vision, Model Evaluation, Transfer Learning, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Time Series Analysis and Forecasting, Deep Learning, Embeddings, Artificial Neural Networks, Generative AI, Applied Machine Learning, Classification Algorithms, Predictive Modeling, Data Preprocessing, Forecasting, Machine Learning
Intermediate · Professional Certificate · 3 - 6 Months

Imperial College London
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution
Intermediate · Specialization · 3 - 6 Months

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

Johns Hopkins University
Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Diagnostic Radiology, Anatomy, Image Analysis, Data Analysis, X-Ray Computed Tomography, Data Manipulation, Radiology, Analytical Skills, Experimentation, Statistical Analysis, Biomedical Technology, Advanced Analytics, Network Analysis, R Programming, Data Processing, Research Design, Statistics
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Autoencoders, Unsupervised Learning, Tensorflow, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transfer Learning, Computer Vision, Model Evaluation, Performance Tuning
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Supervised Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Markov Model, Embeddings, Text Mining, Dimensionality Reduction, Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Feature Engineering, Applied Machine Learning, Algorithms, Keras (Neural Network Library)
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Computer Vision, Applied Machine Learning, Classification Algorithms, Model Deployment, Data Preprocessing, Network Architecture, Model Evaluation
Mixed · Course · 1 - 4 Weeks
DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture
Intermediate · Specialization · 3 - 6 Months

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

Skills you'll gain: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Convolutional Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Model Evaluation, Image Analysis, Artificial Neural Networks, Text Mining, Computer Vision, Data Preprocessing, Tensorflow, Deep Learning, Model Deployment, Applied Machine Learning, Google Cloud Platform, Jupyter, Matplotlib
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Convolutional Neural Networks, Deep Learning, Amazon Elastic Compute Cloud, Transfer Learning, Image Analysis, Amazon Web Services, Artificial Neural Networks, Keras (Neural Network Library), Model Deployment, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Data Preprocessing, Classification Algorithms, Application Development, Python Programming, Network Architecture
Beginner · Specialization · 1 - 3 Months