Discover how to choose and implement the best Large Language Model (LLM) for your app. Learn about model selection, optimization, and integration to boost app performance and user experience.

Understand how to implement deep learning models using Keras across multiple backend frameworks.

Learn effective ways to build a RAG system. This course will teach techniques for retrieving and integrating information from multiple modalities, such as text, images, and videos in RAG systems.

Explore natural language processing methods to enable machines to understand and generate human language.

This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow.

Learn Natural Language Processing (NLP) with Hugging Face Transformers. Master techniques like text classification, translation, and sentiment analysis using state-of-the-art models.

This course helps you learn the basics of natural language processing with deep learning and machine learning algorithms.

Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.

Deep learning has revolutionized NLP and problems that require a large amount of work in terms of new features. Tuning can now be efficiently solved using NLP.

Understand ethical challenges in generative AI. Learn about challenges, risks, data privacy, algorithmic bias, and decision-making frameworks for responsible use.

Unlock the power of generative AI responsibly. This course will teach you generative AI prototyping, evaluation concepts, principles, and ethical considerations.

Neural networks are the foundation for so many applications in the field of machine learning and artificial intelligence. This course will demystify what they are, how they work, and how they can be used in a variety of real-world applications.