Neural networks courses can help you learn the basics of architecture design, backpropagation, activation functions, and optimization techniques. You can build skills in training models, tuning hyperparameters, and evaluating performance metrics. Many courses introduce tools like TensorFlow and PyTorch, that support implementing neural networks in practical applications such as image recognition, natural language processing, and predictive analytics.

Skills you'll gain: Model Training, Model Optimization, Analysis, Performance Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Mathematics, Model Training, Artificial Neural Networks, Machine Learning, Deep Learning, Model Optimization, Fine-tuning, Convolutional Neural Networks, Python Programming, Calculus, Derivatives
Intermediate · Course · 1 - 4 Weeks

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

DeepLearning.AI
Skills you'll gain: Model Optimization, Tensorflow, Model Training, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Artificial Neural Networks, Model Evaluation, Applied Machine Learning
★ 4.9 (64K) · Intermediate · Course · 1 - 4 Weeks

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

Skills you'll gain: Network Architecture, Model Optimization, Artificial Neural Networks, Performance Testing, Deep Learning
Intermediate · Course · 1 - 4 Weeks

John Wiley & Sons
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Methods, Generative AI, ChatGPT, Machine Learning Algorithms, Machine Learning, Natural Language Processing, Artificial Neural Networks, Applied Machine Learning, Large Language Modeling, Supervised Learning, Computer Vision, Unsupervised Learning, Deep Learning, Responsible AI, Automation, Reinforcement Learning, Robotics, Predictive Modeling
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Generative Model Architectures, Model Training, Convolutional Neural Networks, Deep Learning, Data Preprocessing, Natural Language Processing, Network Model, Artificial Neural Networks, Model Evaluation, Data Processing, Model Optimization, Computer Vision, AI Workflows, Network Architecture, Data Transformation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Time Series Analysis and Forecasting, Tensorflow, Natural Language Processing, Forecasting, Deep Learning, Artificial Neural Networks, Predictive Modeling, Data Preprocessing, Data Science, Machine Learning, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, Data Preprocessing, Model Evaluation, Data Transformation, Predictive Modeling, Applied Machine Learning, Regression Analysis, Model Training, Model Optimization, Artificial Neural Networks
Beginner · Course · 1 - 4 Weeks

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

Skills you'll gain: Generative Model Architectures, Recurrent Neural Networks (RNNs), Fine-tuning, Generative AI, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Vision Transformer (ViT), PyTorch (Machine Learning Library), Artificial Neural Networks, Convolutional Neural Networks, AI Workflows, Hugging Face, Deep Learning, Autoencoders, Transfer Learning, Databricks, Machine Learning, Computer Science, Algorithms, Data Science
Advanced · Course · 1 - 3 Months