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 Washington
Skills you'll gain: AI Orchestration, Agentic Workflows, Organizational Skills, Process Design, Artificial Intelligence, Agentic systems, Functional Design, Goal Setting, Verification And Validation, Reinforcement Learning, Knowledge Transfer, Software Architecture, Machine Learning Methods, Interviewing Skills, Software Design Patterns, Decision Making
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Tensorflow, Generative AI Agents, Recurrent Neural Networks (RNNs), BeeAI, Transfer Learning, Deep Learning, Convolutional Neural Networks, AI Orchestration, Application Deployment, Artificial Neural Networks, Responsible AI, Agentic Workflows, Agentic systems, Data Ethics, Model Training, Scalability, Model Optimization, Applied Machine Learning, Machine Learning
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Image Analysis, Convolutional Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Model Training, Model Optimization, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Data Preprocessing, Data Processing, Network Architecture
Beginner · Course · 1 - 4 Weeks

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

Skills you'll gain: Large Language Modeling, LLM Application, Fine-tuning, Model Deployment, Model Training, Transfer Learning, Generative Model Architectures, Prompt Engineering, Model Optimization, Generative AI, Model Evaluation, Deep Learning, Natural Language Processing, Recurrent Neural Networks (RNNs), AI Security, Responsible AI, Scalability, Machine Learning
Advanced · Course · 3 - 6 Months

SkillUp
Skills you'll gain: Model Training, Decision Intelligence, Clinical Documentation, Health Informatics, Predictive Modeling, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), LLM Application, Medical Privacy, Large Language Modeling, Logistic Regression, Computer Vision, Embeddings
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Image Analysis, Cloud Deployment, Tensorflow, Amazon Web Services, Convolutional Neural Networks, Model Deployment, Application Development, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Design, Computer Vision, Model Training, Front-End Web Development, Data Preprocessing, Python Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Statistical Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Forecasting, Data Mining, Data Preprocessing, Model Optimization, Model Evaluation, Exploratory Data Analysis
Mixed · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Recurrent Neural Networks (RNNs), Large Language Modeling, Natural Language Processing, Hugging Face, PyTorch (Machine Learning Library), Transfer Learning, Artificial Neural Networks, Machine Learning Methods, Generative Model Architectures, Data Preprocessing, Deep Learning, Markov Model, Model Optimization, Model Training
Mixed · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Generative AI, Responsible AI, Generative Model Architectures, Data Ethics, Large Language Modeling, Artificial Intelligence, AI literacy, Machine Learning, Artificial Neural Networks, Deep Learning, Model Training
Beginner · Course · 1 - 3 Months

Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Model Optimization, Model Training, Fine-tuning, Computer Vision, Deep Learning, Data Preprocessing, Jupyter
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Convolutional Neural Networks, Keras (Neural Network Library), Image Analysis, Computer Vision, Data Preprocessing, Deep Learning, Artificial Neural Networks, Embeddings, Model Deployment, Application Deployment, Model Training, Classification Algorithms, Supervised Learning, Model Evaluation
Mixed · Course · 1 - 4 Weeks