01
Vertex AI의 Gemini API로 생성형 AI 살펴보기
중급 Vertex AI의 Gemini API로 생성형 AI 살펴보기 기술 배지 과정을 완료하여 텍스트를 생성하고, 향상된 콘텐츠 제작을 위해 이미지 및 동영상을 분석하고, Gemini API 내에서 함수 호출 기법을 적용하는 기술 역량을 입증하세요. 정교한 Gemini 기법을 활용하고, 멀티모달 콘텐츠 생성을 살펴보고,...
Generative AI for Developers
Google's Generative AI offering is a suite of tools and services that help developers build and deploy generative AI applications. These applications can be used for a variety of purposes, such as, Improving search results.Automating content generation, and Personalizing user experiences. This learning path is designed for developers who want to learn about generative AI and how to use it to build their own applications. No prior experience with machine learning or natural language processing is required. This path builds on the concepts introduced in the Introduction to Generative AI Learning path introduction to Generative AI learning path. So if you are new to the Generative AI space, it's recommended that you start with that learning path before diving into more advanced content and hands-on labs.
02
벡터 검색 및 임베딩
이 과정에서는 AI 기반 검색 기술, 도구, 애플리케이션을 살펴봅니다. 벡터 임베딩을 활용하는 시맨틱 검색, 시맨틱 방식과 키워드 방식을 결합한 하이브리드 검색, 그라운딩된 AI 에이전트로서 AI 할루시네이션을 최소화하는 검색 증강 생성(RAG)에 대해 알아보세요. Vertex AI 벡터 검색을 활용해 지능형 검색 엔진을...
03
Custom Search with Embeddings in Vertex AI
This course explores Google Cloud technologies to create and generate embeddings. Embeddings are numerical representations of text, images, video and audio, and play a pivotal role in many tasks that involve the identification of similar items, like Google searches, online...
04
Gemini 멀티모달 및 멀티모달 RAG로 리치 문서 검사하기
중급 Gemini 멀티모달 및 멀티모달 RAG로 리치 문서 검사하기 기술 배지 과정을 완료하여 다음 기술 역량을 입증하세요. 멀티모달 프롬프트를 사용하여 텍스트 및 시각적 데이터에서 정보 추출, 동영상 설명 생성, Gemini의 멀티모달 기능을 사용하여 동영상은 물론 그 밖의 추가 정보 검색,...
05
Improving developer velocity with Gemini Code Assist
Learn how Gemini can revolutionize your ability to develop applications! This course helps developers go beyond the basics and learn how to integrate Gemini into their workflows.
06
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
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...
07
Orchestrating Gen AI Applications with LangChain
This course equips full-stack mobile and web developers with the skills to integrate generative AI features into their applications using LangChain. You'll learn how to leverage LangChain’s capabilities for backend flows and seamless model execution, all within the familiar environment...
08
Orchestrate LLM solutions with LangChain
Learn to use LangChain to call Google Cloud LLMs and Generative AI Services and Datastores to simplify complex applications' code.
09
Deploy, Test & Evaluate Gen AI Apps
All applications, including generative AI applications, should be deployed securely & have their performance monitored. In this course, you will explore a pattern for easily securing prototype generative AI applications for internal tool use or customer demos. Additionally, you will...
10
Develop Advanced Enterprise Search and Conversation Applications
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...
11
Build Generative AI Apps with Firebase Genkit
This course equips app developers with the skills to integrate generative AI features into their applications using Firebase Genkit. You learn how to leverage Firebase Genkit's capabilities for backend flows and seamless model execution, all using Node.js. The course guides...
12
Integrate Generative AI Into Your Apps with Firebase Genkit
Learn to build generative AI applications leveraging Firebase Genkit to call LLMs on Google Cloud and elsewhere, simplify complex applications' code and deploy your solution on Google Cloud.
13
Empower Gen AI apps with tool use
An LLM-based application can process language in a way that resembles thought. But if you want to extend its capabilities to take actions by running other functions you have coded, you will need to use function calling. This can also...