Packt

Generative AI Foundations for Absolute Beginners

Packt

Generative AI Foundations for Absolute Beginners

访问权限由 New York State Department of Labor 提供

深入了解一个主题并学习基础知识。
初级 等级

推荐体验

7 小时 完成
灵活的计划
自行安排学习进度
深入了解一个主题并学习基础知识。
初级 等级

推荐体验

7 小时 完成
灵活的计划
自行安排学习进度

您将学到什么

  • Understand the fundamentals of AI, machine learning, and deep learning

  • Learn how Generative AI creates text, images, audio, and video

  • Explore self-supervised learning and its applications in AI

  • Gain practical insights into how to use Generative AI in business and creative projects

要了解的详细信息

可分享的证书

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作业

8 项作业

授课语言:英语(English)
最近已更新!

February 2026

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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有7个模块

In this module, we will introduce you to the world of Generative AI, explaining what you can expect to learn throughout the course. You will get an overview of the topics covered, providing a solid foundation for understanding AI, its history, and its present-day applications.

涵盖的内容

1个视频1篇阅读材料

In this module, we will explore the fundamental building blocks of AI, including machine learning and deep learning, and see how they all come together to power advanced AI technologies. You will learn about the historical context and current applications of AI, with a special focus on Generative AI and its transformative role in content generation. By the end of this section, you’ll have a comprehensive understanding of AI’s landscape and how each piece contributes to the puzzle.

涵盖的内容

6个视频1个作业

In this module, we will introduce you to the world of machine learning, covering its foundational principles, tasks, and applications. You’ll also learn how machine learning models are trained using data and feedback, providing you with a strong understanding of the processes that drive AI systems.

涵盖的内容

9个视频1个作业

In this module, we will explore the technologies powering Generative AI, focusing on neural networks, deep learning architectures, and large language models (LLMs). You’ll gain insights into the cutting-edge methods like self-supervised learning, which enhance AI models' ability to generate content, and learn how these models adapt and evolve to produce remarkable outputs.

涵盖的内容

12个视频1个作业

In this module, we will delve into the key challenges and limitations of Generative AI, including its sensitivity to prompts and the impact of its non-deterministic nature. We’ll explore common issues such as AI hallucinations, lack of common sense, and how bias and fairness concerns can affect model performance. You will also learn how to address these challenges while ensuring data privacy and security.

涵盖的内容

10个视频1个作业

In this module, we will showcase the versatile applications of Generative AI, from content creation to enhancing AI-based apps. You’ll learn how to harness the power of Generative AI for generating text, images, and other media, as well as how to implement it for tasks such as code generation and idea brainstorming. Best practices for crafting effective prompts will also be covered to help you make the most of AI's capabilities.

涵盖的内容

12个视频1个作业

In this final module, we will recap all the key concepts covered in the course, helping you to connect the dots and solidify your understanding of Generative AI. You will also receive encouragement to continue your learning journey and explore new areas of AI as you apply your newfound knowledge.

涵盖的内容

2个视频3个作业

位教师

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