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: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Fine-tuning, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Tensorflow, Predictive Modeling, Model Optimization, Model Training, Interactive Data Visualization, Time Series Analysis and Forecasting, Model Evaluation
Advanced · 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

Yonsei University
Skills you'll gain: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Machine Learning Methods, Recurrent Neural Networks (RNNs), Technology Strategies, Business Strategy, Machine Learning Software, Business Modeling, Business Strategies, Natural Language Processing, Artificial Intelligence, Machine Learning, Company, Product, and Service Knowledge, Unsupervised Learning
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Generative Model Architectures, Model Training, Image Analysis, Transfer Learning, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Data Synthesis
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Machine Learning, Model Training, Model Optimization, Machine Learning Algorithms, Unsupervised Learning, Python Programming, Classification Algorithms, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Fine-tuning, Model Optimization, Model Training, Computer Vision, Applied Machine Learning, Classification Algorithms, Network Architecture, Data Processing
Mixed · Course · 1 - 4 Weeks

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: Recurrent Neural Networks (RNNs), Model Deployment, Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Application Frameworks, Model Training, Artificial Intelligence, Data Preprocessing
Beginner · 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: 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

Skills you'll gain: Apache Spark, Model Evaluation, Data Preprocessing, Keras (Neural Network Library), Transfer Learning, Deep Learning, Model Training, Tensorflow, A/B Testing, Responsible AI, Data Processing, Convolutional Neural Networks, Machine Learning Software, Artificial Neural Networks, Machine Learning Algorithms, Data Cleansing, Model Deployment, Machine Learning, Recurrent Neural Networks (RNNs), Dimensionality Reduction
Advanced · Course · 1 - 3 Months

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, AI literacy, Deep Learning, AI Integrations, Applied Machine Learning, Machine Learning, Responsible AI, Data Ethics
Beginner · Course · 1 - 3 Months