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.

Coursera
Skills you'll gain: Generative Model Architectures, Generative AI, Generative Adversarial Networks (GANs), AI literacy, AI Integrations, Machine Learning Methods, Strategic Decision-Making, Autoencoders, Innovation
Intermediate · Course · 1 - 4 Weeks

Dartmouth College
Skills you'll gain: Predictive Modeling, Analytics, Predictive Analytics, Advanced Analytics, Scikit Learn (Machine Learning Library), Model Evaluation, Digital Transformation, Business Analytics, Model Training, Ethical Standards And Conduct, Data Ethics, Data-Driven Decision-Making, Feature Engineering, Applied Machine Learning, Statistical Machine Learning, Statistical Modeling, Data Strategy, Regression Analysis, Supervised Learning, Model Optimization
Intermediate · Course · 1 - 3 Months

Skills you'll gain: LLM Application, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Fine-tuning, Model Training
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Applied Machine Learning, Feature Engineering, Deep Learning, Machine Learning Algorithms, Matplotlib, Jupyter, Python Programming, Data Wrangling, Data Processing, NumPy, Data Cleansing, Model Training, Data Manipulation, Data Transformation, Artificial Neural Networks, Seaborn
Mixed · Course · 1 - 3 Months

John Wiley & Sons
Skills you'll gain: Supervised Learning, Statistical Methods, Exploratory Data Analysis, Data Preprocessing, Model Evaluation, Data Processing, Data Quality, Model Deployment, Data Transformation, Machine Learning Methods, Image Analysis, Statistics, Statistical Machine Learning, Data Science, Data Analysis, MLOps (Machine Learning Operations), Applied Machine Learning, Unsupervised Learning, Computer Vision, Machine Learning Algorithms
Beginner · Specialization · 1 - 3 Months

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: Salesforce Development, Salesforce, Data Ethics, AI Enablement, Artificial Intelligence, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, AI literacy, AI Security, Data Quality, AI Integrations, Predictive Modeling, Predictive Analytics, Data Management, Customer Relationship Management, Data Capture, Personalized Service
Intermediate · Course · 1 - 3 Months

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

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

University of Minnesota
Skills you'll gain: Predictive Modeling, Predictive Analytics, Business Analytics, Customer Analysis, Project Design, Advanced Analytics, Analytics, Machine Learning Methods, Applied Machine Learning, Business Analysis, Solution Design, Machine Learning, Brainstorming, Design Thinking, Analysis, Ideation, Deep Learning, Classification Algorithms
Beginner · Course · 1 - 3 Months

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