Neural network courses can help you learn the principles of deep learning, backpropagation, and model optimization, along with practical applications like image recognition and natural language processing. You can build skills in data preprocessing, hyperparameter tuning, and evaluating model performance. Many courses introduce tools such as TensorFlow and PyTorch, that support implementing neural networks and experimenting with various architectures to solve complex problems in artificial intelligence and AI.

Google Cloud
Skills you'll gain: Responsible AI, Generative AI, Large Language Modeling, Google Cloud Platform, Data Literacy, Unstructured Data, Data Ethics, Artificial Intelligence, Deep Learning, Machine Learning
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Tensorflow, Google Cloud Platform, Systems Design, Applied Machine Learning, Machine Learning, Systems Architecture, Data Validation, Technical Design, Performance Tuning, Distributed Computing, Scalability, Data Pipelines, Debugging
Advanced · Course · 1 - 3 Months

Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Applied Machine Learning, Performance Tuning, Systems Architecture, Data Validation, Machine Learning, Distributed Computing, Scalability, Hybrid Cloud Computing, Debugging, Data Processing, Data Pipelines
Advanced · Course · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Applied Machine Learning, R Programming, Machine Learning, Machine Learning Algorithms, Data Analysis, Data Manipulation, Data Transformation, Probability & Statistics
Mixed · Course · 1 - 4 Weeks