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.

Northeastern University
Skills you'll gain: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Artificial Neural Networks, Trend Analysis, Unstructured Data, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Predictive Modeling, Forecasting, Deep Learning, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Transfer Learning, Keras (Neural Network Library), Fine-tuning, Deep Learning, Applied Machine Learning, Tensorflow, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Machine Learning Methods, Model Optimization, Model Training
Advanced · Course · 1 - 4 Weeks

Packt
Skills you'll gain: Prompt Engineering, OpenAI API, Token Optimization, LangChain, ChatGPT, Multimodal Prompts, OpenAI, Prompt Patterns, Generative AI, No-Code Development, LLM Application, AI powered creativity, Generative Model Architectures, Microsoft Power Platform, Application Programming Interface (API), Large Language Modeling, AI Workflows, Email Automation, Application Development, JSON
★ 3.6 (7) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Machine Learning Algorithms, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, Plot (Graphics), Probability & Statistics, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Python Programming, Data Preprocessing, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
★ 4.7 (35) · Beginner · 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, AI Integrations, Model Evaluation, Deep Learning, Natural Language Processing, Recurrent Neural Networks (RNNs), AI Security, Responsible AI, Scalability, Machine Learning
Advanced · Course · 3 - 6 Months

Skills you'll gain: AWS SageMaker, Image Analysis, Deep Learning, Model Evaluation, Model Training, Computer Vision, Applied Machine Learning, Model Optimization, Plot (Graphics), Machine Learning, Python Programming, Data Science
Intermediate · Guided Project · Less Than 2 Hours

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, Project Implementation, Model Training, Classification Algorithms, Supervised Learning, Model Evaluation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Hugging Face, Large Language Modeling, Recurrent Neural Networks (RNNs), Embeddings, Python Programming, Fine-tuning, Applied Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Unsupervised Learning, Model Training, Machine Learning Methods, Dimensionality Reduction, Data Preprocessing, Statistical Machine Learning, Python Programming, Model Optimization, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Generative AI, Model Optimization, Deep Learning, Generative Model Architectures, Computer Vision, Artificial Neural Networks, Generative Adversarial Networks (GANs), Model Training, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Autoencoders, Network Architecture, Model Evaluation, Debugging
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Feature Engineering, Model Evaluation
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Convolutional Neural Networks, Image Analysis, Transfer Learning, Fine-tuning, Deep Learning, Computer Vision, Data Storytelling, Applied Machine Learning, Technical Communication, Model Optimization, Geospatial Information and Technology, Model Training, Machine Learning, Model Deployment, Heat Maps, Data Pipelines, Machine Learning Algorithms, Augmented Reality
Beginner · Course · 1 - 4 Weeks