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 Deployment, Federated Learning, Tensorflow, Transfer Learning, Model Training, Model Evaluation, Machine Learning, Information Privacy, Data Visualization
Intermediate · Course · 1 - 4 Weeks

O.P. Jindal Global University
Skills you'll gain: Model Evaluation, Supervised Learning, Model Training, Scikit Learn (Machine Learning Library), Tensorflow, Model Deployment, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Machine Learning Algorithms, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Model Optimization, Embeddings, Pandas (Python Package), Natural Language Processing
Build toward a degree
Beginner · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Natural Language Processing, Deep Learning, Autoencoders, Time Series Analysis and Forecasting, Artificial Neural Networks, Machine Learning, Embeddings, Data Preprocessing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Training, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Deep Learning, Generative AI, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Model Optimization, Machine Learning, Artificial Neural Networks, Natural Language Processing, Feature Engineering
Intermediate · Course · 3 - 6 Months

Board Infinity
Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Artificial Neural Networks, Generative Model Architectures, OpenAI, Artificial Intelligence, ChatGPT, AI literacy, Large Language Modeling, Deep Learning, Machine Learning, Responsible AI
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Embedded Systems, Tensorflow, Applied Machine Learning, Data Processing, Embedded Software, Data Preprocessing, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Machine Learning Methods, Artificial Neural Networks, Machine Learning Algorithms, Model Training, Convolutional Neural Networks, Feature Engineering, Computer Vision, Deep Learning, Image Analysis, Machine Learning, Model Deployment
Intermediate · Course · 1 - 3 Months

Packt
Skills you'll gain: Model Deployment, Model Evaluation, Unsupervised Learning, Transfer Learning, Tensorflow, Generative AI Agents, Keras (Neural Network Library), Fine-tuning, Model Training, Machine Learning Methods, Dimensionality Reduction, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, BeeAI, Data Preprocessing, Convolutional Neural Networks, AI Orchestration, Application Deployment, Feature Engineering
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Large Language Modeling, LLM Application, Trend Analysis, Real Time Data, Analytics, Business Marketing, Program Development, Business Strategy, Generative AI, Technology Roadmaps, Market Trend, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Artificial Intelligence, Case Studies
Beginner · Course · 1 - 4 Weeks
Duke University
Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, AI literacy, Decision Intelligence, Applied Machine Learning, Generative Model Architectures, Statistical Modeling, Python Programming, Machine Learning, Model Evaluation, Embeddings, Image Analysis, Machine Learning Methods, Scientific Visualization, Deep Learning
Intermediate · Specialization · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Model Optimization, Model Deployment, iOS Development, Apple iOS, Android Development, Tensorflow, Swift Programming, Model Training, Mobile Development, Embedded Systems, Computer Vision, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Artificial Intelligence and Machine Learning (AI/ML), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Machine Learning Methods, Model Training, Ggplot2, Plot (Graphics), Data Manipulation, Convolutional Neural Networks, Machine Learning Algorithms
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Robotics, Artificial Intelligence, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Convolutional Neural Networks, AI Integrations, Natural Language Processing, Artificial Neural Networks, Reinforcement Learning, Model Training, Machine Learning, Python Programming, Automation, Algorithms
Intermediate · Course · 1 - 3 Months