Generative AI Free Course By Google
Generative AI Free Course By Google
Introduction to Generative AI is an introductory microlearning course aimed at providing a fundamental understanding of Generative AI. This course will delve into the workings of Generative AI, its applications, and how it distinguishes itself from traditional machine learning methods. Additionally, it will cover the use of Google Tools to aid in the development of your own Generative AI applications. Course Objectives: By the end of this course, you will be able to: Define Generative AI Explain how Generative AI works Describe various Generative AI model types Identify applications of Generative AI
Eligibility Criteria
Applicants must meet the following criteria: This course is applicable to all in various disciplines. This course is designed for a general audience with an interest in AI and machine learning, regardless of prior experience. Languages Available: English, Español (Latinoamérica), Français, Bahasa Indonesia, Italiano, Português (Brasil), Polski, Українська, Deutsch. Additional Learning Options: On-Demand Partners: Google Cloud content is available on Coursera and Pluralsight. Instructor-Led Learning: View the public classroom schedule for instructor-led sessions.
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Course Details
01. Introduction to Generative AI Course Overview: Duration: 45 minutes Level: Introductory Description: This introductory microlearning course aims to explain what Generative AI is, how it is used, and how it differs from traditional machine learning methods. The course also covers Google tools that can help you develop your own Generative AI applications. 02. Introduction to Large Language Models Course Overview: Duration: 30 minutes Level: Introductory Description: This course provides an introduction to large language models (LLMs), their use cases, and how prompt tuning can enhance their performance. It includes insights into Google tools for developing Generative AI applications. 03. Introduction to Responsible AI Course Overview: Duration: 30 minutes Level: Introductory Description: This course explains what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 7 AI principles. 04. Prompt Design in Vertex AI Course Overview: Duration: 5 hours 15 minutes Level: Introductory Description: This skill badge course teaches prompt engineering, image analysis, and multimodal generative techniques within Vertex AI. It covers crafting effective prompts, guiding generative AI output, and applying these skills using Gemini. 05. Responsible AI: Applying AI Principles with Google Cloud Course Overview: Duration: 2 hours Level: Introductory Description: Intended for non-English learners, this course teaches how to apply responsible AI principles using Google Cloud. For English learners, a separate course is available. It emphasizes the importance of responsible AI and how it is applied in Google's AI projects.
Course Content
Badge Of Completion
How To Apply
Follow the below steps to apply for the program: 1. Visit Our Official Website. 2. Read carefully all the information about the program details. 3. Click on the "Register" to complete the registration with required details. 4. After successful registration, Use the received credentials to log into your account. 5. Once logged in, Visit the course page and thoroughly review the information provided. Note: "As a free user," →'You're encouraged to share this valuable information with your friends to access the link properly'.
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Introduction to Generative AI is an introductory microlearning course aimed at providing a fundamental understanding of Generative AI. This course will delve into the workings of Generative AI, its applications, and how it distinguishes itself from traditional machine learning methods. Additionally, it will cover the use of Google Tools to aid in the development of your own Generative AI applications. Course Objectives: By the end of this course, you will be able to: Define Generative AI Explain how Generative AI works Describe various Generative AI model types Identify applications of Generative AI