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: Fraud detection, Generative AI, Regulatory Compliance, Generative Model Architectures, Responsible AI, Law, Regulation, and Compliance, Compliance Management, Governance, Business Risk Management, Risk Management, Data Ethics, Financial Regulation, Anomaly Detection, AI Security, Generative Adversarial Networks (GANs), Risk Mitigation, Model Training
★ 4.3 (46) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative Adversarial Networks (GANs), Vision Transformer (ViT), Deep Learning, Generative Model Architectures, Graph Theory, Dimensionality Reduction, Network Model, Unsupervised Learning, Model Optimization, Embeddings, Artificial Neural Networks, Machine Learning Methods, Supervised Learning, Model Evaluation, Model Training, Model Deployment, Flask (Web Framework)
★ 4.5 (33) · Intermediate · Course · 1 - 3 Months

University of the Arts London
Skills you'll gain: AI powered creativity, PyTorch (Machine Learning Library), Artificial Intelligence, Model Training, Artificial Intelligence and Machine Learning (AI/ML), AI literacy, Creative Thinking, Generative AI, Artificial Neural Networks, Responsible AI, Creative Problem-Solving, Generative Model Architectures, Creative Design, Data Ethics, Critical Thinking
★ 4.4 (9) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Probability & Statistics, Transfer Learning, NumPy, Matplotlib, Model Training, Model Optimization, Convolutional Neural Networks, Deep Learning, Applied Machine Learning, Statistics, Data Visualization, Keras (Neural Network Library), Statistical Hypothesis Testing, Fine-tuning, Machine Learning Methods, Python Programming
Intermediate · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Model Deployment, Federated Learning, Tensorflow, Transfer Learning, Model Training, MLOps (Machine Learning Operations), Model Evaluation, Fine-tuning, Machine Learning, Information Privacy, Embeddings
★ 4.8 (512) · Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Generative AI, Financial Trading, Market Data, Portfolio Management, Market Trend, Trend Analysis, Real Time Data, Automation, Python Programming, Predictive Modeling, Research Reports, Recurrent Neural Networks (RNNs), Risk Management
★ 4.4 (16) · Beginner · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Artificial Neural Networks, Generative Model Architectures, OpenAI, Artificial Intelligence, ChatGPT, AI literacy, Large Language Modeling, Deep Learning, Machine Learning, Responsible AI
★ 4.7 (10) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Tensorflow, Natural Language Processing, Python Programming, Applied Machine Learning, Machine Learning Methods, Model Training, Recurrent Neural Networks (RNNs), Generative Model Architectures, Machine Learning, Deep Learning
★ 4.7 (38) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Convolutional Neural Networks, Model Optimization, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Computer Vision, Model Training, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Performance Tuning, Artificial Intelligence, Bayesian Statistics
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Vision Transformer (ViT), Generative Model Architectures, Recurrent Neural Networks (RNNs), Embeddings, Large Language Modeling, Artificial Neural Networks, Software Architecture, Model Optimization, Deep Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Artificial Intelligence, Distributed Computing, Scalability, Unsupervised Learning, Computer Vision, Memory Management
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Data Preprocessing, Transfer Learning, Fine-tuning, Model Training, Convolutional Neural Networks, Medical Imaging, Radiology, Image Analysis, Deep Learning, Python Programming
★ 4.4 (11) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting, Natural Language Processing, Deep Learning, Model Training, Artificial Neural Networks, Forecasting, Applied Machine Learning
★ 2.3 (7) · Beginner · Course · 1 - 4 Weeks