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.

New York Institute of Finance
Skills you'll gain: Reinforcement Learning, Recurrent Neural Networks (RNNs), Financial Trading, Deep Learning, Portfolio Management, Machine Learning Methods, Model Training, Artificial Neural Networks, Machine Learning Software, Applied Machine Learning, Markov Model, Model Evaluation
Intermediate · Course · 1 - 4 Weeks
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
Beginner · Course · 1 - 3 Months

University of Toronto
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Deep Learning, Robotics, Model Training, Machine Learning Algorithms, Model Evaluation, Linear Algebra
Advanced · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Model Training, Convolutional Neural Networks, Computer Programming, Model Optimization, Data Validation, Applied Machine Learning, Supervised Learning, Computer Vision, Artificial Neural Networks, Data Persistence
Intermediate · Course · 1 - 3 Months

University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Deep Learning, Feature Engineering, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Model Training, Algorithms, Pseudocode, Linear Algebra, Network Architecture, Probability Distribution
Intermediate · 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, Model Training, Recurrent Neural Networks (RNNs)
Intermediate · Course · 1 - 4 Weeks

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

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
Intermediate · Specialization · 3 - 6 Months

Edge Impulse
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Embedded Systems, Deep Learning, Model Deployment, Data Ethics, Responsible AI, Model Training, Machine Learning, Computer Programming, Classification Algorithms, Model Evaluation, Python Programming
Intermediate · Course · 1 - 4 Weeks

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
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Data Analysis, Applied Machine Learning, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Model Training, Fine-tuning, Model Deployment, Generative AI, Text Mining, Prompt Engineering, Deep Learning, Random Forest Algorithm, Machine Learning, MLOps (Machine Learning Operations)
Intermediate · Course · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Image Analysis, Tensorflow, Transfer Learning, Convolutional Neural Networks, Computer Vision, Fine-tuning, JavaScript Frameworks, JSON, Model Deployment, Browser Compatibility, Javascript, Model Training, Data Processing, Real Time Data, Web Applications, Data Capture, Machine Learning
Intermediate · Course · 1 - 4 Weeks