Build and Deploy a Generative AI solution using a RAG framework
Earned Feb 13, 2025 EST
Develop Advanced Enterprise Search and Conversation Applications
Earned Feb 9, 2025 EST
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned Feb 9, 2025 EST
IA responsável: como aplicar os princípios de IA com o Google Cloud
Earned Jan 6, 2025 EST
Text Prompt Engineering Techniques
Earned Dec 25, 2024 EST
Como configurar um ambiente de desenvolvimento de apps no Google Cloud
Earned Feb 4, 2023 EST
Demonstrate your ability to implement updated prompt engineering techniques and utilize several of Gemini's key capacilities including multimodal understanding and function calling. Then integrate generative AI into a RAG application deployed to Cloud Run. This course contains labs that are to be used as a test environment. They are deployed to test your understanding as a learner with a limited scope. These technologies can be used with fewer limitations in a real world environment.
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In this course, you'll use text embeddings for tasks like classification, outlier detection, text clustering and semantic search. You'll combine semantic search with the text generation capabilities of an LLM to build Retrieval Augmented Generation (RAG) solutions, such as for question-answering systems, using Google Cloud's Vertex AI and Google Cloud databases.
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This course on Integrate Vertex AI Search and Conversation into Voice and Chat Apps is composed of a set of labs to give you a hands on experience to interacting with new Generative AI technologies. You will learn how to create end-to-end search and conversational experiences by following examples. These technologies complement predefined intent-based chat experiences created in Dialogflow with LLM-based, generative answers that can be based on your own data. Also, they allow you to porvide enterprise-grade search experiences for internal and external websites to search documents, structure data and public websites.
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Quanto maior é o uso da inteligência artificial empresarial e do machine learning, mais importante é desenvolvê-los de maneira responsável. Para muitos, falar sobre a IA responsável pode ser mais fácil, mas colocá-la em prática é um desafio. Se você tem interesse em aprender a operacionalizar a IA responsável na sua organização, este curso é para você.
Nele, você vai aprender como o Google Cloud faz isso hoje, além de analisar práticas recomendadas e lições aprendidas, a fim de criar uma base para elaborar sua própria abordagem de IA responsável.
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Text Prompt Engineering Techniques introduces you to consider different strategic approaches & techniques to deploy when writing prompts for text-based generative AI tasks.
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Conquiste um selo de habilidade ao concluir o curso Como configurar um ambiente de desenvolvimento de apps no Google Cloud. Nele, você aprende a criar e conectar uma infraestrutura em nuvem focada em armazenamento usando recursos básicos das seguintes tecnologias: Cloud Storage, Identity and Access Management, Cloud Functions e Pub/Sub.
Build and Deploy a Generative AI solution using a RAG framework
Earned Feb 13, 2025 EST
Develop Advanced Enterprise Search and Conversation Applications
Earned Feb 9, 2025 EST
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned Feb 9, 2025 EST
IA responsável: como aplicar os princípios de IA com o Google Cloud
Earned Jan 6, 2025 EST
Text Prompt Engineering Techniques
Earned Dec 25, 2024 EST
Como configurar um ambiente de desenvolvimento de apps no Google Cloud
Earned Feb 4, 2023 EST