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.

DeepLearning.AI
Skills you'll gain: Model Training, Machine Learning Algorithms, Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Model Optimization, Artificial Neural Networks, Logistic Regression, Regression Analysis
★ 4.9 (8.7K) · Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Model Training, Applied Machine Learning, Artificial Intelligence, Data Preprocessing, Machine Learning
★ 4.8 (20K) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, Generative Model Architectures, IBM Cloud, AI Workflows, LLM Application, Workflow Management, AI literacy, No-Code Development, Machine Learning Software, Natural Language Processing, Business Workflow Analysis, Artificial Intelligence, Self Service Technologies, Machine Learning, Deep Learning, Data Science
★ 4.7 (36K) · Beginner · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Model Optimization, Feature Engineering, Model Training, Applied Machine Learning, Machine Learning Methods, Machine Learning Algorithms, Fine-tuning, Deep Learning, Supervised Learning, Transfer Learning, Model Evaluation, Data Structures, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Machine Learning, Artificial Neural Networks, Convolutional Neural Networks, Network Architecture, Performance Testing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Vision Transformer (ViT), Generative Model Architectures, Recurrent Neural Networks (RNNs), Embeddings, Large Language Modeling, Artificial Neural Networks, Software Architecture, Model Optimization, Deep Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Artificial Intelligence, Distributed Computing, Scalability, Unsupervised Learning, Computer Vision, Memory Management
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Retrieval-Augmented Generation, Transfer Learning, Model Evaluation, Computer Vision, PyTorch (Machine Learning Library), Unsupervised Learning, Generative Model Architectures, Generative AI, PySpark, Prompt Engineering Tools, Vision Transformer (ViT), Keras (Neural Network Library), Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science
★ 4.6 (22K) · Intermediate · Professional Certificate · 3 - 6 Months

Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging
★ 4.7 (3.8K) · Intermediate · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Regression Analysis, Calculus, Model Optimization, Mathematical Software, Numerical Analysis, Applied Mathematics, Applied Machine Learning, Linear Algebra, Artificial Neural Networks, Derivatives
★ 4.7 (5.8K) · Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, Model Training, NumPy, Machine Learning Algorithms, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Model Optimization, Regression Analysis, Algorithms
★ 4.9 (32K) · Beginner · Course · 1 - 4 Weeks

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

DeepLearning.AI
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting, Applied Machine Learning, Convolutional Neural Networks, Deep Learning, Predictive Modeling, Data Preprocessing, Artificial Neural Networks, Forecasting, Machine Learning
★ 4.7 (5.2K) · Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Generative AI, Artificial Neural Networks, Text Mining, Model Training, Applied Machine Learning, Data Preprocessing, Machine Learning, Data Processing
★ 4.6 (6.5K) · Intermediate · Course · 1 - 4 Weeks