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.

Skills you'll gain: Regression Analysis, Predictive Modeling, Exploratory Data Analysis, Model Evaluation, Model Training, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Methods, Statistical Methods, Applied Machine Learning, Machine Learning, Data Preprocessing, Decision Tree Learning, Deep Learning, Data Analysis, Test Data, Artificial Neural Networks, Data Import/Export, Python Programming
★ 4.8 (69) · Beginner · Guided Project · Less Than 2 Hours

Pearson
Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Transfer Learning, Natural Language Processing, Embeddings, Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Model Training, Time Series Analysis and Forecasting, Generative Model Architectures, Network Architecture
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Model Training, Model Evaluation, Data Preprocessing, Regression Analysis, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Analysis, Plot (Graphics), Machine Learning, Data Visualization, Decision Tree Learning, Predictive Analytics, Machine Learning Algorithms, Data Visualization Software, Artificial Neural Networks, Deep Learning, Statistical Methods, Python Programming
★ 4.9 (7) · Beginner · 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

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

DeepLearning.AI
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), AI Product Strategy, Artificial Intelligence, AI Enablement, Artificial Neural Networks, Digital Transformation, Machine Learning Methods, AI literacy, Deep Learning, AI Integrations, Technical Management, Machine Learning, Responsible AI, Data Ethics, Data Science
★ 4.7 (306) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Transfer Learning, Keras (Neural Network Library), Fine-tuning, Embeddings, Deep Learning, Image Analysis, Artificial Neural Networks, Computer Vision, Natural Language Processing, Data Preprocessing, Model Optimization, Model Training
Intermediate · Course · 1 - 4 Weeks

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: Model Evaluation, Deep Learning, Data Preprocessing, Data Wrangling, Data Processing, AI Personalization, Machine Learning Methods, Model Training, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Neural Networks, Embeddings
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, Tensorflow, Artificial Neural Networks, Applied Machine Learning, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Model Training, Machine Learning, NumPy, Regression Analysis, Network Architecture
Intermediate · Course · 1 - 3 Months

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
University of Glasgow
Skills you'll gain: Autoencoders, Model Evaluation, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, Machine Learning, Convolutional Neural Networks, Electocardiography, Artificial Neural Networks
★ 4.6 (15) · Intermediate · Course · 1 - 4 Weeks