提供讓學習者「由業界專業人士開設」、「隨時可以學習」的實務課程」,只要有心, 跟隨 MasterTalks 的學習地圖,非本科系或忙碌的上班族, 也可以順利成為搶手的
AI
專業人才。
MasterTalks|
公開教室
親愛的,我把自己上傳到雲端,變成AI分身
想體驗如何在工作環節上創造多個
AI
分身嗎?
想提前布局
AI
企業機器人提高工作品質與企業競爭力嗎?
智慧企業時代來臨,企業資料上雲又該注意那些問題呢?
課程介紹:https://events.t
ai
wantrade.com/
ai
cloud01
立即報名:https://iti.surveycake.com/s/Mvegl
線上課程約8小時
這個入門微學習課程主要說明生成式 AI 的定義和使用方式,以及此 AI 與傳統機器學習方法的差異。本課程也會介紹各項 Google 工具,協助您開發自己的生成式 AI 應用程式。
完成此活動,贏取徽章!向世界展示您掌握的技能,拓展雲端領域的職業之路。
課程目標:
● 定義生成式 AI
● 說明生成式 AI 如何運作
● 說明生成式 AI 的模型類型
● 說明生成式 AI 應用程式
Google
Data, ML, and AI in Google Cloud
|
線上課程約8小時
The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This final course in the series reviews managed big data services, machine learning and its value, and how to demonstrate your skill set in Google Cloud further by earning Skill Badges.
完成此活動,贏取徽章!向世界展示您掌握的技能,拓展雲端領域的職業之路。
Google
SSE AI Knowledge Today國際認證
| Artificial Intelligence Knowledge Today
作為 Microsoft Azure AI 工程師,您可以建置、管理及部署 AI 解決方案,以充分利用:
Azure 認知服務。
Azure 應用 AI 服務。
您的責任包括參與所有 AI 解決方案的開發階段,包括:需求定義與設計、開發、部署、整合、維護、效能微調、監視;您會和解決方案架構師合作,將架構師的願景轉換成現實,並與資料科學家、資料工程師、物聯網 (IoT) 專家、基礎結構系統管理員,和其他軟體開發人員合作,以建置完整的端對端 AI 解決方案。
Microsoft
Generative AI Explorer - Vertex AI
|
線上課程約8小時
The Generative AI Explorer - Vertex Quest is a collection of labs on how to use Generative AI on Google Cloud. Through the labs, you will learn about how to use the models in the Vertex AI PaLM API family, including text-bison, chat-bison, and textembedding-gecko. You will also learn about prompt design, best practices, and how it can be used for ideation, text classification, text extraction, text summarization, and more. You will also learn how to tune a foundation model by training it via Vertex AI custom training and deploy it to a Vertex AI endpoint