Introduction to Generative AI

Overview

This is an introductory-level microlearning course designed to provide a foundational understanding of Generative AI. You will learn what Generative AI is, its practical applications, and how it differs from traditional machine learning methods. Additionally, the course introduces Google tools and resources that can help you build your own Generative AI applications.

Upon successful completion, you will earn a badge to showcase your proficiency. Display your badge on your profile page to demonstrate your skills and advance your cloud career.

Course Modules

1. Video: Introduction to Generative AI (22 minutes)

• Description:

  • Understand the basics of Generative AI.

  • Learn how it generates new content, such as text, images, and code.

  • Discover its applications in industries like healthcare, finance, and entertainment.

  • Explore how it is revolutionizing creative processes and automation.

• Learning Outcomes:

  • Define Generative AI and its core principles.

  • Recognize the key differences between Generative AI and traditional machine learning.

  • Identify real-world use cases of Generative AI.

2. Document: Introduction to Generative AI Reading (30 minutes)

• Description:

  • Deep dive into the theoretical aspects of Generative AI.

  • Explore models like Generative Adversarial Networks (GANs) and Transformers (e.g., GPT, BERT).

  • Learn the ethical considerations and challenges in deploying Generative AI systems.

  • Get introduced to Google Cloud tools, such as Vertex AI and AutoML, for creating Gen AI applications.

• Learning Outcomes:

  • Understand the architecture and working principles of Generative AI models.

  • Gain insights into the tools and platforms for developing Generative AI applications.

  • Appreciate the ethical implications of using AI-generated content.

3. Quiz: Introduction to Generative AI (10 minutes)

• Description:

  • A short quiz to assess your understanding of Generative AI concepts, applications, and tools.

  • Test your knowledge of the differences between Generative AI and traditional machine learning.

• Learning Outcomes:

  • Reinforce key concepts learned during the course.

  • Prepare for applying Generative AI knowledge in practical scenarios.

Badge: Course Completion

Upon completing all modules, you will earn the “Introduction to Generative AI” badge. This badge represents your knowledge and skills in understanding and applying Generative AI concepts.

Next Steps:

• Visit your profile page to view all badges earned.

• Share your badge with your professional network to boost your cloud career.

• Explore advanced courses to deepen your expertise in AI and machine learning.

Course Benefits

• Skill Development: Gain practical and theoretical knowledge of Generative AI.

• Career Advancement: Showcase your skills to employers and peers with a verifiable badge.

• Hands-On Experience: Learn about tools to start building your own Generative AI applications.

• Flexibility: Complete the course at your own pace with bite-sized learning modules.