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.

Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Python Programming, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours
Duke University
Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Artificial Intelligence, Model Evaluation, Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Embedded Systems, Tensorflow, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Algorithms, Convolutional Neural Networks, Computer Vision, Deep Learning, Image Analysis, Machine Learning, Model Deployment, Model Evaluation, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Transfer Learning, Image Analysis, Deep Learning, Model Evaluation, Medical Imaging, Computer Vision, Machine Learning, Data Preprocessing
Intermediate · Guided Project · Less Than 2 Hours

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

Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Convolutional Neural Networks, Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Classification Algorithms, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Science, MLOps (Machine Learning Operations), Transfer Learning, Machine Learning, Tensorflow
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Artificial Neural Networks, Deep Learning, Large Language Modeling, Tensorflow, Convolutional Neural Networks
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Model Deployment, Data Preprocessing, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Large Language Modeling, LLM Application, OpenAI API, Trend Analysis, Real Time Data, Analytics, Business Marketing, Program Development, Prompt Engineering, Business Strategy, Generative AI, ChatGPT, Technology Roadmaps, Market Trend, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Content Marketing
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Extract, Transform, Load, Data Pipelines, Data Import/Export, Tensorflow, Data Preprocessing, Data Processing, MLOps (Machine Learning Operations), Transfer Learning, Data Transformation, Data Sharing, Model Evaluation, Data Management, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Convolutional Neural Networks, Computer Graphics, Machine Learning Methods, Artificial Intelligence, Data Ethics, Microsoft Excel, Generative AI, Linear Algebra, Feature Engineering, Digital Signal Processing
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Data Collection, Machine Learning Algorithms, Convolutional Neural Networks, Model Deployment, Transfer Learning, Hugging Face
Intermediate · Professional Certificate · 3 - 6 Months