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 Illinois Urbana-Champaign
Skills you'll gain: Health Informatics, Machine Learning Methods, Deep Learning, Machine Learning, Machine Learning Algorithms, Health Care, Artificial Neural Networks, Supervised Learning, Applied Machine Learning, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Healthcare Project Management, Medical Science and Research, Unsupervised Learning, Program Development
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Artificial Intelligence and Machine Learning (AI/ML), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Model Training, Ggplot2, Plot (Graphics), Data Manipulation, Convolutional Neural Networks, Applied Machine Learning, Machine Learning Algorithms
Beginner · Specialization · 3 - 6 Months

Imperial College London
Skills you'll gain: Generative AI, Tensorflow, Autoencoders, Generative Model Architectures, Bayesian Network, Deep Learning, Image Analysis, Bayesian Statistics, Model Optimization, Probability Distribution, Model Training, Sampling (Statistics), Data Transformation
Advanced · Course · 1 - 3 Months

Skills you'll gain: Keras (Neural Network Library), Model Optimization, Artificial Neural Networks, Applied Machine Learning, Model Training, Deep Learning, Python Programming, Performance Tuning, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Deep Learning, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Artificial Intelligence, Model Optimization, Data Preprocessing, Regression Analysis, Software Installation, System Configuration
Intermediate · Course · 1 - 3 Months

L&T EduTech
Skills you'll gain: Machine Learning Algorithms, Internet Of Things, Artificial Intelligence, Unsupervised Learning, Python Programming, Embedded Software, Computer Vision, Peripheral Devices, Integrated Development Environments, Deep Learning, Applied Machine Learning, Image Analysis, Machine Learning, Embedded Systems, Civil Engineering, Classification Algorithms, Security Controls, Wireless Networks, Automation, Digital Transformation
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Tensorflow, Model Training, Supervised Learning, Model Optimization, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, AI Workflows, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Data Science, Python Programming
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Artificial Intelligence, Agentic systems, Machine Learning Algorithms, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Decision Intelligence, Markov Model, Algorithms, Programming Principles, Data-Driven Decision-Making, Probability & Statistics
Mixed · 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, Application Deployment, Feature Engineering
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Hugging Face, Deep Learning, Large Language Modeling, Convolutional Neural Networks, Artificial Neural Networks, Encryption, Python Programming, Cryptography, Fine-tuning, Machine Learning Methods, Text Mining, Classification Algorithms, Applied Machine Learning, Model Training, Probability Distribution, Machine Learning Algorithms, Algorithms
Intermediate · Specialization · 3 - 6 Months

University of California, Davis
Skills you'll gain: Prompt Engineering, Responsible AI, AI literacy, AI powered creativity, Anthropic Claude, Generative AI, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, OpenAI, LLM Application, Emerging Technologies, Deep Learning, Machine Learning
Beginner · Course · 1 - 4 Weeks

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
Intermediate · Course · 1 - 4 Weeks