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.

Pearson
Skills you'll gain: Large Language Modeling, Prompt Engineering, Image Analysis, Model Deployment, PyTorch (Machine Learning Library), Model Optimization, Deep Learning, Tensorflow, Convolutional Neural Networks, LLM Application, Computer Vision, Fine-tuning, Responsible AI, Generative Model Architectures, Model Training, Generative AI, Multimodal Prompts, Artificial Intelligence
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Training, Application Development, Predictive Modeling, Model Optimization
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Model Optimization, Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Fine-tuning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Image Analysis, Model Training, Machine Learning Methods, Applied Machine Learning, Natural Language Processing
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, Model Training, NumPy, Machine Learning Algorithms, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Model Optimization, Regression Analysis, Algorithms
★ 4.9 (32K) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Model Training, Data Preprocessing, Model Optimization, Model Evaluation, Data Processing, Development Environment, Predictive Analytics, Software Installation
★ 4.6 (17) · Mixed · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Deep Learning, Convolutional Neural Networks, Autoencoders, Recurrent Neural Networks (RNNs), Image Analysis, Embeddings, Model Deployment, Applied Machine Learning, Artificial Neural Networks, Health Informatics, Medical Science and Research, Unsupervised Learning, Medical Imaging, Dimensionality Reduction, Network Architecture
★ 3.9 (15) · Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Natural Language Processing, Model Optimization, Deep Learning, PyTorch (Machine Learning Library), Large Language Modeling, Fine-tuning, Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Tensorflow, Artificial Intelligence, Machine Learning Methods, Computer Vision, Model Training
Advanced · Course · 1 - 3 Months

Skills you'll gain: Deep Learning, Tensorflow, Keras (Neural Network Library), Matplotlib, NumPy, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Pandas (Python Package), Machine Learning Methods, Data Science, Artificial Intelligence, Model Optimization, Data Preprocessing, Model Training, Machine Learning, Network Model, Data Manipulation, Model Evaluation
Beginner · Course · 3 - 6 Months

Coursera
Skills you'll gain: Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Model Optimization, Model Training, Artificial Neural Networks
Intermediate · Guided Project · Less Than 2 Hours

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: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Model Optimization, Data Processing, Transfer Learning, Data Analysis, Model Training, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Artificial Neural Networks, Computer Vision, Predictive Modeling, Model Evaluation, Machine Learning
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Convolutional Neural Networks, Model Optimization, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Computer Vision, Model Training, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Performance Tuning, Artificial Intelligence, Bayesian Statistics
Intermediate · Course · 1 - 4 Weeks