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: 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

Google Cloud
Skills you'll gain: Generative AI, Google Gemini, Prompt Engineering, LLM Application, Google Cloud Platform, Big Data, Query Languages, Natural Language Processing, Scalability
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Data Validation, Google Cloud Platform, Tensorflow, Systems Architecture, Artificial Intelligence and Machine Learning (AI/ML), Distributed Computing, Performance Tuning, Scalability, Machine Learning, Data Pipelines, Verification And Validation, Data Processing
Advanced · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Cloud Computing Architecture, Cloud Infrastructure, Process Optimization, Cloud Management, Cloud Security, Solution Architecture, Google Cloud Platform, Cloud Computing, Scalability, Goal Setting, Case Studies
Advanced · Course · 1 - 3 Months