In this beginner level course on Generative AI, we take a closer look at popular tools and technologies such as GPT-4, DALL-E, and Stable Diffusion, alongside basic hands-on guidance for their configuration and use. This course aims to deepen understanding of each tool's unique capabilities and ease of usage. Learners will achieve proficiency in employing these tools for various creative tasks and will be able to compare GenAI solutions for solving real-world problems.
Hands-On with GenAI Tools and Technologies
Hands-On with GenAI Tools and Technologies
本课程是 Generative AI Essentials 专项课程 的一部分
位教师：Soroush Razavi
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October 2025
作业
4 项作业
授课语言：英语（English）
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本课程是 Generative AI Essentials 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
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- 通过实践项目培养工作相关技能
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该课程共有4个模块
Welcome to getting started with GenAI Tools, the second course on the Generative AI Essentials from Concepts to Ethics specialization! In the first module of this course, we will learn how to get started with using generative AI. In particular, they will learn about how various generative AI tools like GPT-4 and DALL-E function. Furthermore, they will learn how to generate their first piece of AI art.
涵盖的内容
11个视频1个作业
In the second week of this course, we will learn about generative AI tools for generating text. In particular, they will learn about the history of the GPT architecture, how they do next word prediction, and understand some of the specifications about large language models.
涵盖的内容
11个视频1个作业
In the third module of this course, you will see examples of using AI for generating images. In particular, learners will see tutorials on DALLE to understand how these approaches differ in generating images. They will also learn best tips and practices for generating content with AI.
涵盖的内容
12个视频1个作业
In the final module of this course, we will take a zoom out and take a look at the pipeline of a GenAI project, from the data that will be used for training to setting up the model in the world. We will take a look at different ways to utilize GenAI from the hardware requirements to other methods of using readily available models.
涵盖的内容
12个视频1个作业
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