Advanced Gemini for Developers
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Lynn Langit
1:27:22
22 View
01 - Design and implement LLM-based applications using Google Gemini.mp4
00:48
02 - What you should know.mp4
01:34
03 - About using cloud services.mp4
01:22
01 - Understand Google Agent Builder.mp4
04:57
02 - Use Agent Builder with cloud builder.mp4
06:33
03 - Build recommender app with Agent Builder.mp4
06:02
04 - Use Agent Builder with FIHR databases.mp4
05:54
01 - Test language models.mp4
05:02
02 - Test vision models.mp4
02:27
03 - Test speech models.mp4
01:44
04 - Test multi models.mp4
03:15
01 - Test Gemini and Gemma models.mp4
07:49
02 - Test Hugging Face.mp4
04:21
03 - Test open source models.mp4
04:34
04 - Test medical open source models.mp4
03:25
01 - GenAI RAG with Cloud SQL.mp4
06:40
02 - Generative knowledge base.mp4
04:54
03 - GenAI RAG on GKE.mp4
06:40
04 - GenAI RAG on VertexAI with evaluation.mp4
07:21
01 - Next steps.mp4
02:00
Description
Creating applications grounded by powerful foundational modals can open new worlds for you and your users. In this course, learn to use Google Gemini applications patterns and tools to build large language model-based applications. These include patterns for prompt validation, effective retrieval-augmented generation (RAG), and fine tuning. Instructor Lynn Langit also shares comparisons of Gemini, Gemma, and other foundational LLMs for your application scenarios.
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Lynn Langit
Instructor's CoursesCloud Architect working with remote dev teams world-wide to build cloud solutions.
Author of 30 LinkedIn Learning Cloud/Data courses with over 5 million student views. https://www.linkedin.com/learning/instructors/lynn-langit

Linkedin Learning
View courses Linkedin LearningLinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications.
It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
- language english
- Training sessions 20
- duration 1:27:22
- English subtitles has
- Release Date 2024/08/12