Deep learning courses can help you learn neural networks, convolutional networks, and recurrent networks, along with their applications in image recognition and natural language processing. You can build skills in model training, hyperparameter tuning, and performance evaluation, which are crucial for developing effective AI solutions. Many courses introduce tools like TensorFlow and PyTorch, allowing you to implement algorithms and optimize models, making your learning experience hands-on and relevant to current industry practices.

MathWorks
Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Deep Learning, Matlab, Data Preprocessing, Data Visualization, Transfer Learning, Applied Machine Learning, Data Analysis
Beginner · Course · 1 - 4 Weeks

Illinois Tech
Skills you'll gain: NoSQL, Big Data, Model Evaluation, Apache Hadoop, Recurrent Neural Networks (RNNs), Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Apache Spark, Generative AI, Convolutional Neural Networks, Transfer Learning, Data Infrastructure, Data Cleansing, Real Time Data, Apache Kafka, Data Management, Machine Learning
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Classification Algorithms, Feature Engineering
Intermediate · Course · 1 - 3 Months

Simplilearn
Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis
Beginner · Specialization · 1 - 3 Months

University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Model Evaluation, Artificial Neural Networks, Performance Testing, Performance Tuning, Pseudocode, Linear Algebra, Probability Distribution
Intermediate · Specialization · 3 - 6 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Deep Learning, Convolutional Neural Networks, Health Informatics, Autoencoders, Recurrent Neural Networks (RNNs), Image Analysis, Embeddings, Health Information Management, Machine Learning, Applied Machine Learning, Health Care, Model Deployment, Generative Adversarial Networks (GANs), Artificial Neural Networks, Healthcare Project Management, Supervised Learning, Model Evaluation, Machine Learning Methods, Graph Theory, Big Data
Advanced · 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

Skills you'll gain: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Performance Tuning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Generative Adversarial Networks (GANs), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Artificial Intelligence, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Image Analysis, Machine Learning, Data Science
Intermediate · Specialization · 3 - 6 Months
University of Glasgow
Skills you'll gain: Deep Learning, Model Evaluation, Data Ethics, Health Informatics, ICD Coding (ICD-9/ICD-10), Clinical Data Management, Medical Records, Clinical Informatics, Descriptive Analytics, Database Design, AI Security, Electronic Medical Record, Responsible AI, Data Mining, Precision Medicine, Analytics, Recurrent Neural Networks (RNNs), Data Preprocessing, Machine Learning, Autoencoders
Intermediate · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Autoencoders, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Applied Machine Learning, Model Deployment, Unsupervised Learning, Artificial Intelligence, Classification Algorithms
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Large Language Modeling, Recurrent Neural Networks (RNNs), Natural Language Processing, Prompt Engineering, Artificial Neural Networks, Transfer Learning, Deep Learning, PyTorch (Machine Learning Library), Embeddings, Model Evaluation, Network Architecture
Build toward a degree
Intermediate · Course · 1 - 4 Weeks