Professional Machine Learning Engineer Study Guide
Earned Nov 18, 2024 EST
Verantwortungsbewusste Anwendung von KI: KI-Grundsätze in Google Cloud anwenden
Earned Nov 4, 2024 EST
Develop Advanced Enterprise Search and Conversation Applications
Earned Nov 4, 2024 EST
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned Okt 10, 2024 EDT
Text Prompt Engineering Techniques
Earned Okt 9, 2024 EDT
This course helps learners create a study plan for the PMLE (Professional Machine Learning Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
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Da die Nutzung von künstlicher Intelligenz und Machine Learning in Unternehmen weiter zunimmt, wird auch deren verantwortungsbewusste Entwicklung ein immer wichtigeres Thema. Dabei ist es für viele schwierig, die Überlegungen zur verantwortungsbewussten Anwendung von KI in die Praxis umzusetzen. Wenn Sie wissen möchten, wie sich die verantwortungsbewusste Anwendung von KI in die Praxis umsetzen, also operationalisieren lässt, finden Sie in diesem Kurs entsprechende Hilfestellungen.
In diesem Kurs erfahren Sie, wie dies mit Google Cloud heutzutage möglich ist, inklusive entsprechender Best Practices und Erkenntnisse. Es wird gezeigt, welches Framework Google Cloud bietet, um einen eigenen Ansatz für die verantwortungsbewusste Anwendung von KI zu entwickeln.
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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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Text Prompt Engineering Techniques introduces you to consider different strategic approaches & techniques to deploy when writing prompts for text-based generative AI tasks.
Professional Machine Learning Engineer Study Guide
Earned Nov 18, 2024 EST
Verantwortungsbewusste Anwendung von KI: KI-Grundsätze in Google Cloud anwenden
Earned Nov 4, 2024 EST
Develop Advanced Enterprise Search and Conversation Applications
Earned Nov 4, 2024 EST
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned Okt 10, 2024 EDT
Text Prompt Engineering Techniques
Earned Okt 9, 2024 EDT