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: Responsible AI, Machine Learning Methods, Generative AI Agents, Generative AI, Prompt Patterns, Generative Model Architectures, Prompt Engineering Tools, AI literacy, Risking, Retrieval-Augmented Generation, LLM Application, Agentic systems, Machine Learning Algorithms, Natural Language Processing
★ 4.7 (23K) · Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Model Evaluation, Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Data Preprocessing, Classification And Regression Tree (CART), Risk Modeling, Statistical Methods, Treatment Planning, Data Analysis, Diagnostic Tests, Precision Medicine, Convolutional Neural Networks, Decision Tree Learning, Predictive Modeling, Image Analysis, Statistical Machine Learning, Diagnostic Radiology, Machine Learning
★ 4.7 (2.5K) · Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Transfer Learning, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Model Training, Logistic Regression, Image Analysis, Applied Machine Learning, Model Evaluation, Computer Vision, Classification Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistical Methods
★ 4.5 (106) · Intermediate · Course · 1 - 3 Months

Edge Impulse
Skills you'll gain: Model Evaluation, Applied Machine Learning, Model Training, Data Preprocessing, Embedded Systems, Machine Learning Software, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Responsible AI, Model Deployment, Convolutional Neural Networks, Predictive Modeling, Feature Engineering, Computer Programming
★ 4.8 (766) · Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Model Optimization, Machine Learning Methods, Applied Mathematics, Calculus, Applied Machine Learning, Numerical Analysis, Machine Learning Algorithms, Software Visualization, Machine Learning, Python Programming, Advanced Mathematics, Artificial Neural Networks, Deep Learning, Computer Programming, Derivatives
★ 4.8 (970) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Responsible AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Multimodal Prompts, LLM Application, Embeddings, AI literacy, Artificial Neural Networks, AI powered creativity, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Ethics, Model Training
Beginner · 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: Image Analysis, Tensorflow, Transfer Learning, Convolutional Neural Networks, Computer Vision, Fine-tuning, Keras (Neural Network Library), JavaScript Frameworks, JSON, Model Deployment, Applied Machine Learning, Javascript, Machine Learning Methods, Model Training, Artificial Neural Networks, Data Processing, Real Time Data, Web Applications, Data Capture, Machine Learning
★ 4.8 (1K) · Intermediate · Course · 1 - 4 Weeks

Taipei Medical University
Skills you'll gain: Bioinformatics, Informatics, Model Training, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Technical Communication, Machine Learning Methods, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Applied Machine Learning, AI Workflows, Random Forest Algorithm, Artificial Intelligence, Predictive Modeling, Molecular Biology, Natural Language Processing, Biology, Data Analysis
Beginner · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Regression Analysis, Calculus, Model Optimization, Mathematical Software, Machine Learning Methods, Numerical Analysis, Applied Machine Learning, Applied Mathematics, Linear Algebra, Artificial Neural Networks, Deep Learning, Mathematical Theory & Analysis, Derivatives
★ 4.7 (5.8K) · Beginner · Course · 1 - 3 Months

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 (105) · Intermediate · Course · 1 - 4 Weeks

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
★ 4.7 (587) · Advanced · Course · 1 - 3 Months