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.

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

DeepLearning.AI
Skills you'll gain: Extract, Transform, Load, Data Pipelines, Data Import/Export, Tensorflow, Data Preprocessing, Data Processing, Feature Engineering, Data Transformation, Data Sharing, Model Training, Data Management, Performance Tuning, Applied Machine Learning
★ 4.5 (536) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Machine Learning Methods, Matlab, Transfer Learning, Traffic Flow Optimization
★ 4.7 (36) · Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Optimization, Feature Engineering, Model Training, Applied Machine Learning, Machine Learning Methods, Fine-tuning, Machine Learning Algorithms, Deep Learning, Supervised Learning, Transfer Learning, Model Evaluation, Data Structures, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Machine Learning, Artificial Neural Networks, Convolutional Neural Networks, Unsupervised Learning, Network Architecture
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Text Mining, Classification Algorithms, Model Training
Intermediate · Course · 1 - 3 Months

Packt
Skills you'll gain: Model Deployment, Model Evaluation, Unsupervised Learning, Transfer Learning, Tensorflow, Generative AI Agents, Keras (Neural Network Library), Fine-tuning, Model Training, Machine Learning Methods, Dimensionality Reduction, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, BeeAI, Data Preprocessing, Convolutional Neural Networks, AI Orchestration, PyTorch (Machine Learning Library), Feature Engineering
★ 4.7 (6) · Intermediate · Specialization · 1 - 3 Months

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

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

Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Fine-tuning, Transfer Learning, Model Training, Deep Learning, Real Time Data, Python Programming, Applied Machine Learning, Development Environment, Machine Learning Algorithms, Data Preprocessing, Model Evaluation, Data Collection, Software Installation
★ 3.1 (9) · Beginner · Course · 3 - 6 Months

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Training, Model Optimization, Configuration Management, Image Analysis, Debugging, Data Presentation, Experimentation, Computer Vision, Data Visualization, Deep Learning, Algorithms, Performance Tuning, Tensorflow, Failure Mode And Effects Analysis, Root Cause Analysis, Cost Management, Machine Learning, Performance Analysis
Intermediate · Specialization · 3 - 6 Months

Pearson
Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Fine-tuning, Image Analysis, Model Evaluation, Autoencoders, Hugging Face, Embeddings, Computer Vision, Convolutional Neural Networks, Artificial Neural Networks, LLM Application, Natural Language Processing, Deep Learning, Prompt Engineering, Model Training, Image Quality
Intermediate · Specialization · 1 - 4 Weeks

University of Maryland, College Park
Skills you'll gain: Model Evaluation, Apache Hadoop, Machine Learning Methods, AI Personalization, Digital Marketing Tools, Data-Driven Marketing, Customer Analysis, Marketing Automation, Marketing Analytics, Digital Marketing, Marketing Strategies, Applied Machine Learning, Big Data, Marketing, Customer Insights, Personalized Campaigns, Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Deep Learning
Beginner · Course · 1 - 4 Weeks