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.

Illinois Tech
Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Convolutional Neural Networks, Transfer Learning, Model Optimization, Image Analysis, Artificial Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Fine-tuning, Computer Vision, Natural Language Processing
★ 4.5 (37) · Beginner · Course · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Convolutional Neural Networks, Image Analysis, Model Training, Deep Learning, Python Programming
★ 4.4 (234) · Intermediate · Guided Project · Less Than 2 Hours

MathWorks
Skills you'll gain: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Model Training, Matlab, Deep Learning, Model Optimization, Data Preprocessing, Classification Algorithms, Data Cleansing, Performance Tuning, Data Analysis
★ 4.9 (38) · Beginner · Specialization · 1 - 3 Months

University of Pennsylvania
Skills you'll gain: Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Model Optimization, Artificial Neural Networks, Model Training, Machine Learning
★ 4.8 (10) · Intermediate · Course · 1 - 4 Weeks

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, Model Training, Transfer Learning, Convolutional Neural Networks, Computer Programming, Supervised Learning, Natural Language Processing, Data Processing, Artificial Neural Networks, Model Optimization, Probability Distribution, Embeddings, Application Programming Interface (API)
★ 4.8 (722) · Intermediate · Specialization · 3 - 6 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Deep Learning, Convolutional Neural Networks, Autoencoders, Recurrent Neural Networks (RNNs), Image Analysis, Machine Learning Methods, Embeddings, Generative Model Architectures, Machine Learning, Health Care, Model Deployment, Artificial Neural Networks, Applied Machine Learning, Supervised Learning, Model Evaluation, Unsupervised Learning, Predictive Modeling, Big Data, Data Synthesis
★ 3.3 (52) · Advanced · Specialization · 1 - 3 Months

Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Autoencoders, Model Optimization, Vision Transformer (ViT), Artificial Neural Networks, Model Deployment, Model Training, Deep Learning, Recurrent Neural Networks (RNNs), Embeddings, Machine Learning Methods, PyTorch (Machine Learning Library), AI Enablement, Artificial Intelligence
Advanced · Specialization · 1 - 3 Months

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

Simplilearn
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Machine Learning Methods, Deep Learning, Machine Learning, Applied Machine Learning, Supervised Learning, Responsible AI, Unsupervised Learning
★ 4.2 (12) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Deep Learning, Cloud Infrastructure, Microsoft Azure, MLOps (Machine Learning Operations), Model Training, AI Workflows, Scalability, Hugging Face, Performance Tuning, Artificial Neural Networks, Development Environment, Computer Vision
Advanced · 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

Illinois Tech
Skills you'll gain: NoSQL, Machine Learning Algorithms, Big Data, Model Evaluation, Apache Hadoop, Recurrent Neural Networks (RNNs), Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Apache Spark, Statistical Methods, Data Presentation, Convolutional Neural Networks, Transfer Learning, Probability & Statistics, Data Infrastructure, Model Optimization, Machine Learning
★ 4.4 (45) · Intermediate · Specialization · 3 - 6 Months