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.

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

Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Python Programming, Logistic Regression, Model Optimization
★ 4.7 (19K) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Computer Vision, Machine Learning, Python Programming
★ 4.5 (713) · Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Deep Learning, Unsupervised Learning, Transfer Learning, Model Optimization, Artificial Neural Networks, Machine Learning, Dimensionality Reduction, Model Training
★ 4.6 (307) · Intermediate · Course · 1 - 3 Months

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

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Transfer Learning, Deep Learning, Fine-tuning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Data Preprocessing, Network Architecture
★ 4.9 (43K) · Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Large Language Modeling, Model Optimization, Recurrent Neural Networks (RNNs), Natural Language Processing, Prompt Engineering, Model Training, Artificial Neural Networks, Transfer Learning, Deep Learning, Embeddings, Fine-tuning
★ 4.9 (9) · Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Model Training, Machine Learning Algorithms, Transfer Learning, Machine Learning, Machine Learning Methods, Applied Machine Learning, Decision Tree Learning, Model Evaluation, Tensorflow, Responsible AI, Artificial Intelligence, Supervised Learning, Classification Algorithms, Random Forest Algorithm, Model Optimization, Artificial Neural Networks, Logistic Regression, Regression Analysis
★ 4.9 (8.8K) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Fine-tuning, Generative Model Architectures, Deep Learning, Autoencoders, Generative AI, Model Optimization, Artificial Neural Networks, Generative Adversarial Networks (GANs), Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Network Architecture, Model Evaluation, Anomaly Detection, Computer Vision
Advanced · Course · 1 - 4 Weeks

University of Washington
Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Machine Learning, Image Analysis, Machine Learning Algorithms, Unsupervised Learning, Predictive Modeling, Bayesian Statistics, Model Training, Logistic Regression, Deep Learning, Decision Tree Learning, Statistical Machine Learning, Transfer Learning, Application Development, Statistical Inference, Model Optimization
★ 4.6 (16K) · Intermediate · Specialization · 3 - 6 Months

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

Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Convolutional Neural Networks, Exploratory Data Analysis, Feature Engineering, Tensorflow, Model Training, Predictive Modeling, Transfer Learning, Applied Machine Learning, Machine Learning Methods, Application Development, Predictive Analytics, Model Evaluation, Machine Learning, Network Model, Analytics, Network Architecture, Design
Beginner · Specialization · 1 - 3 Months