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

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

Skills you'll gain: Model Evaluation, Model Training, Forecasting, Financial Data, Financial Forecasting, Performance Metric, Financial Analysis, Credit Risk, AI Integrations, Applied Machine Learning, AI Workflows, Data Pipelines, Artificial Neural Networks, Automation
Intermediate · Course · 1 - 4 Weeks

University of Glasgow
Skills you'll gain: Model Training, Model Evaluation, Data Preprocessing, Machine Learning Methods, Statistical Methods, Machine Learning Software, Statistical Machine Learning, Data Validation, Data Processing, Data Quality, Mathematical Software, Classification Algorithms, Machine Learning Algorithms
★ 4.9 (51) · Beginner · Course · 1 - 3 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

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

University of California San Diego
Skills you'll gain: Data Ethics, Big Data, Cybersecurity, Data Security, Cryptography, Education Software and Technology, Information Privacy, Encryption, Digital pedagogy, Data Sharing, AI Personalization, Computer Science, Information Technology, Web Applications, Web Servers, Machine Learning, Machine Learning Methods, Supervised Learning
★ 4.6 (10) · Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Fine-tuning, Model Deployment, MLOps (Machine Learning Operations), AWS SageMaker, Software Documentation, Data Pipelines, AI Integrations, Tensorflow, Solution Architecture, Model Evaluation, Apache Airflow, Model Optimization, Systems Design, Transfer Learning, Unit Testing, PyTorch (Machine Learning Library), API Design, Cloud Computing, Network Architecture, Deep Learning
Intermediate · Specialization · 1 - 3 Months

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

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: 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

Skills you'll gain: Amazon Bedrock, Prompt Engineering, Prompt Engineering Tools, Responsible AI, Prompt Patterns, Generative Model Architectures, AI Security, Generative AI, Generative AI Agents, MLOps (Machine Learning Operations), Multimodal Prompts, AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Artificial Intelligence, Machine Learning Methods, Large Language Modeling, AI Workflows, Retrieval-Augmented Generation, Machine Learning
★ 4.3 (16) · Beginner · Course · 1 - 3 Months