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.

SkillUp
Skills you'll gain: Decision Intelligence, Clinical Documentation, Health Informatics, AI Security, Predictive Modeling, LLM Application, Medical Privacy, Large Language Modeling, Logistic Regression, Computer Vision, Embeddings
Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Generative AI, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Large Language Modeling, Artificial Neural Networks, Deep Learning, Model Optimization, Bayesian Network, Machine Learning Methods, Natural Language Processing, Model Training, Probability & Statistics, Probability Distribution
Intermediate · Course · 1 - 3 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)
Beginner · Specialization · 3 - 6 Months

Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Autoencoders, Model Optimization
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Model Evaluation, Cyber Threat Intelligence, Intrusion Detection and Prevention, Threat Detection, Computer Security Incident Management, Cybersecurity, Model Training, Incident Response, Machine Learning Methods, Anomaly Detection, Applied Machine Learning, Continuous Monitoring, AI Security, Cryptographic Protocols, Network Security, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Routing Protocols, Network Architecture
Intermediate · 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 Analysis, Data Science, MLOps (Machine Learning Operations), Applied Machine Learning, Unsupervised Learning, Computer Vision, Machine Learning Algorithms
Beginner · Specialization · 1 - 3 Months

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

Simplilearn
Skills you'll gain: Autoencoders, Multimodal Prompts, Generative AI, Embeddings, Generative Model Architectures, Prompt Engineering, Image Quality, Unsupervised Learning, Model Training, Computer Vision, Deep Learning
Beginner · 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: 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

Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, Image Analysis, Autoencoders, Hugging Face, Embeddings, Computer Vision, Convolutional Neural Networks, PyTorch (Machine Learning Library), LLM Application, Natural Language Processing, Image Quality, Model Training
Intermediate · Course · 1 - 4 Weeks

University of Minnesota
Skills you'll gain: Predictive Modeling, Predictive Analytics, Business Analytics, Business Planning, Customer Analysis, Project Design, Advanced Analytics, Machine Learning Methods, Applied Machine Learning, Business Analysis, Solution Design, Data-Driven Decision-Making, Sprint Planning, Machine Learning, Brainstorming, Trend Analysis, Design Thinking, Ideation, Decision Tree Learning, Deep Learning
Beginner · Course · 1 - 3 Months