Hard Parts of AI: Neural Networks

AI for Software Engineers is a practical knowledge course on Artificial Intelligence (AI) and its applications in software development published by FrontendMasters Online Academy. AI for Software Engineers is an advanced course designed to equip developers with a practical knowledge of Artificial Intelligence (AI) and its applications in software development. This course bridges the gap between AI and engineering by providing a deep understanding of core AI concepts, machine learning algorithms, and their integration into software projects. You will learn the nature of data, probability, training, and prediction in machine learning. You will then explore how to implement these principles in neural networks used in deep learning, including the core concepts of gradient descent and back propagation.You will then explore the how and why of using Large Language Models (LLMs) by understanding notation, embeddings, self-attention, pre-training, and fine-tuning, as well as the heuristics required to deliver reliable models. By understanding the basics of the tools involved, you can make informed judgments about how to integrate ML/AI models, communicate it within your teams, and gain a valuable edge in technical interviews.