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.
Duke University
Skills you'll gain: Responsible AI, Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Predictive Modeling, Artificial Intelligence, Machine Learning, Statistical Modeling, Python Programming, Logistic Regression, Deep Learning, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Python Programming, Performance Tuning, Machine Learning Algorithms, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

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

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

L&T EduTech
Skills you'll gain: Machine Learning Algorithms, Internet Of Things, Artificial Intelligence, Unsupervised Learning, Python Programming, Embedded Software, Computer Vision, Peripheral Devices, Integrated Development Environments, Deep Learning, Applied Machine Learning, Image Analysis, Machine Learning, Embedded Systems, Civil Engineering, Computer Programming Tools, Wireless Networks, Automation, Digital Transformation, Real Time Data
Intermediate · Specialization · 3 - 6 Months

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

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
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: Keras (Neural Network Library), Tensorflow, Convolutional Neural Networks, Deep Learning, Machine Learning, Computer Vision
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Business Analytics, Deep Learning, Machine Learning, Model Evaluation, Mortgage Loans, Consumer Lending, Data Processing
Intermediate · Guided Project · Less Than 2 Hours

Northeastern University
Skills you'll gain: Generative AI, Generative Model Architectures, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Bayesian Network, Machine Learning Methods, Mathematical Modeling, Estimation, Model Evaluation, Applied Mathematics, Dimensionality Reduction, Network Architecture, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Hugging Face, Deep Learning, Large Language Modeling, Transfer Learning, Convolutional Neural Networks, Text Mining, Semantic Web, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Python Programming, Cryptography, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Data Processing, Algorithms
Intermediate · Specialization · 3 - 6 Months