Tushar Gupta
Member since 2021
Bronze League
10900 points
生成式 AI 適用的機器學習運作 (MLOps)
Earned Sep 26, 2025 EDT
Serverless Data Processing with Dataflow: Foundations
Earned Sep 26, 2025 EDT
[CEPF L300 Course]: Infrastructure Modernization
Earned Jun 20, 2025 EDT
Build a Certification Study Guide: PMLE
Earned Oct 29, 2024 EDT
負責任的 AI 技術：透過 Google Cloud 採用 AI 開發原則
Earned Jan 6, 2024 EST
負責任的 AI 技術簡介
Earned Jan 6, 2024 EST
大型語言模型簡介
Earned Jan 6, 2024 EST
Generative AI Fundamentals - 繁體中文
Earned Jan 6, 2024 EST
生成式 AI 簡介
Earned Jan 5, 2024 EST
[Accelerate 2022]: TechCon Lab Bash 2022
Earned Jan 13, 2022 EST
本課程旨在提供必要的知識和工具，協助您探索機器學習運作團隊在部署及管理生成式 AI 模型時面臨的獨特挑戰，並瞭解 Vertex AI 如何幫 AI 團隊簡化機器學習運作程序，打造成效非凡的生成式 AI 專案。
Learn more
This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow.
Learn more
This Infrastructure Modernization course consists of a series of advanced-level
labs designed to validate your proficiency in modernizing a customer's IT infrastructure
using Google Cloud. Each lab presents a set of the required tasks that you must
complete with minimal assistance. The labs in this course have replaced the
previous L300 Infrastructure Modernization Challenge Lab. If you have already completed
the Challenge Lab as part of your L300 accreditation requirement, it will be carried
over and count towards your L300 status.
You must score 80% or higher for each lab to complete this course, and fulfill your CEPF L300 Security requirement.
Course Status: New required labs will be released between June and September 2026. You must use the latest version of the course to access these labs and ensure your progress is tracked correctly.
If a green upgrade banner appears at the top of the page, follow the prompts to upgrade before continuing. If no banner is shown, you are already …
Learn more
Learn how to use Gemini Notebook to create a personalized study guide for the Professional Machine Learning Engineer (PMLE) certification exam. You'll review Gemini Notebook features, create a notebook, and use the study guide to practice for a certification exam.
Learn more
隨著企業持續擴大使用人工智慧和機器學習，以負責任的方式發展相關技術也日益重要。對許多企業來說，談論負責任的 AI 技術可能不難，如何付諸實行才是真正的挑戰。如要瞭解如何在機構中導入負責任的 AI 技術，本課程絕對能助您一臂之力。
您可以從中瞭解 Google Cloud 目前採取的策略、最佳做法和經驗談，協助貴機構奠定良好基礎，實踐負責任的 AI 技術。
Learn more
這個入門微學習課程主要介紹「負責任的 AI 技術」和其重要性，以及 Google 如何在自家產品中導入這項技術。本課程也會說明 Google 的 7 個 AI 開發原則。
Learn more
這是一堂入門級的微學習課程，旨在探討大型語言模型 (LLM) 的定義和用途，並說明如何調整提示來提高 LLM 成效。此外，也會介紹多項 Google 工具，協助您自行開發生成式 AI 應用程式。
Learn more
完成「Introduction to Generative AI」、「Introduction to Large Language Models」和「Introduction to Responsible AI」課程，即可獲得技能徽章。通過最終測驗，就能展現您對生成式 AI 基本概念的掌握程度。
「技能徽章」是 Google Cloud 核發的數位徽章，用於表彰您對 Google Cloud 產品和服務的相關知識。您可以將技能徽章公布在社群媒體的個人資料中，向其他人分享您的成果。
Learn more
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。
Learn more
Welcome to the TechCon Lab Bash 2022 hands-on lab event! Below, you are presented with a series of labs ranging from Level 100 to Level 400. Level 100 labs are video walkthroughs of the lab content. Level 200 labs are traditional Learning Labs which provide you with step-by-step instructions. Level 300 are Challenge Labs which provide you with limited instructions and a hands-on technical scenario to solve. Level 400 are break/fix labs where you must identify the issues in the environment and resolve them.
Learn more
