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: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, PyTorch (Machine Learning Library), Prompt Patterns, Generative AI Agents, Fine-tuning, Vector Databases, LLM Application, Generative Model Architectures, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Tool Calling, Hugging Face, Model Optimization, Reinforcement Learning, Transfer Learning, Data Pipelines
★ 4.6 (1.1K) · Intermediate · Specialization · 3 - 6 Months

John Wiley & Sons
Skills you'll gain: Data Literacy, Model Evaluation, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Responsible AI, Data Ethics, Machine Learning Algorithms, Machine Learning Methods, Machine Learning, Model Training, Applied Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Deep Learning, Convolutional Neural Networks, Machine Learning Software, Python Programming, Data Preprocessing, Feature Engineering
Beginner · Specialization · 3 - 6 Months

University of Alberta
Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Algorithms, Linear Algebra
★ 4.8 (851) · Intermediate · Course · 1 - 3 Months
Saïd Business School, University of Oxford
Skills you'll gain: Responsible AI, AI Enablement, Artificial Neural Networks, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), AI Product Strategy, AI literacy, Generative AI, Generative AI Agents, Machine Learning Methods, Deep Learning, Machine Learning, LLM Application, Convolutional Neural Networks, Supervised Learning, Fraud detection, Reinforcement Learning, Ethical Standards And Conduct, Unsupervised Learning
★ 4.8 (225) · Beginner · Course · 1 - 3 Months

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

Skills you'll gain: PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Evaluation, Convolutional Neural Networks, Natural Language Processing, Deep Learning, Generative Adversarial Networks (GANs), Classification Algorithms, Transfer Learning, Model Training, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Fine-tuning, Artificial Neural Networks, Machine Learning, Computer Vision, Generative Model Architectures, Graph Theory, Machine Learning Algorithms
★ 4.5 (96) · Intermediate · Specialization · 3 - 6 Months

University of Michigan
Skills you'll gain: Investment Management, Wealth Management, Asset Management, Investments, FinTech, Financial Trading, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Big Data, Artificial Neural Networks, Machine Learning
★ 4.7 (425) · Beginner · Course · 1 - 4 Weeks

John Wiley & Sons
Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Machine Learning Algorithms, Model Training, Applied Machine Learning, Deep Learning, Machine Learning Methods, Machine Learning Software, Statistical Modeling, Predictive Modeling, Supervised Learning, Machine Learning, Python Programming, Unsupervised Learning, Data Science, Predictive Analytics, Data Preprocessing, Algorithms, Data Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Model Training, Tensorflow, Image Analysis, Artificial Neural Networks, Applied Machine Learning, Network Model, Deep Learning, Computer Vision, Machine Learning, Network Architecture
★ 4.6 (848) · Beginner · Guided Project · Less Than 2 Hours

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Data Quality, Data Manipulation, Image Analysis, Data Pipelines, Dataflow, Applied Machine Learning, Data Preprocessing, Model Training, Model Optimization, AI Workflows, Model Evaluation, Machine Learning
★ 4.8 (101) · Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Natural Language Processing, Large Language Modeling, Transfer Learning, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, AI Workflows, Artificial Neural Networks, Cloud API, Feature Engineering, Model Training
★ 4.4 (540) · Advanced · Course · 1 - 3 Months

Skills you'll gain: Large Language Modeling, Generative AI, Generative Model Architectures, LLM Application, Generative Adversarial Networks (GANs), Hugging Face, Data Pipelines, PyTorch (Machine Learning Library), Natural Language Processing, Data Preprocessing, Artificial Intelligence, Model Training, Recurrent Neural Networks (RNNs), Responsible AI
★ 4.7 (452) · Intermediate · Course · 1 - 4 Weeks