The world of Artificial Intelligence (AI) is rapidly evolving, and Google, a pioneer in this field, is making it accessible to everyone. With the aim to democratize AI education, Google has launched five free Artificial Intelligence courses that delve into various aspects of AI.
These courses are designed for learners of all levels, from beginners to experienced professionals. Let’s explore these courses in detail.
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Table of Contents
What Is Artificial Intelligence?
Artificial intelligence (AI) enables a computer program to think and learn independently. It is the recreation of human intellect (thus, artificial) in robots to perform tasks for which we traditionally rely on humans. This technological marvel goes beyond ordinary automation, combining a wide variety of AI capabilities that allow robots to think, reason, learn, and communicate in a human-like manner.
An artificial intelligence program has the ability to learn and reason independently. Artificial intelligence refers to any program that does a task that we would expect a human to perform
Eligibility Criteria
This Google free Artificial Intelligence courses For Everyone.
Benefits of Learning AI with
High-quality content: it is a leader in AI research and development, and its courses are created by experts in the field.
Hands-on experience: Many of the courses include practical exercises and projects, allowing you to apply what you learn.
Career advancement: AI is a rapidly growing field, and acquiring AI skills can significantly boost your career prospects.
Free access: it offers these courses for free, making AI education accessible to everyone.
Here Are Google offers 5 free Artificial Intelligence courses
1. Introduction to Generative AI
it is releasing a free course titled “Introduction to Generative AI,” which explains what Generative AI is, how it is utilized, and how it differs from traditional machine learning techniques.
Goals:
Define generative AI.
Explain how generative AI works.
Explain the many types of generative AI models.
Explain Generative AI applications.
Course Link Click Here
2. Introduction to Image Generation
If you want to learn about the theory behind diffusion models and how to construct and present them on Vertex AI, this is a course recommended for members and available for free.
Google states that this course will explore diffusion models, a type of machine learning model that has lately shown potential in the field of image production. Diffusion models draw inspiration mostly from thermodynamics and physics. In recent years, diffusion models have gained popularity in both academics and industry.
Goals:
• How diffusion models work.
• Actual applications for diffusion models.
• Unconditional diffusion models
• Improvements in diffusion models (text-to-image).
Course Link Click Here
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3. Introduction to Responsible AI
According to Google, the Introduction to Responsible AI course is an introductory-level microlearning course aimed at understanding what responsible artificial intelligence is, why it is important, and how Google implements capable artificial intelligence in its things. Additionally, it introduces Google’s seven AI concepts.
Goals:
Why The reason why Google has implemented AI concepts.
Recognize the need for a responsible AI practice within an organization.
Recognize that actions made at each level of a project have an impact on responsible AI.
Recognize that organizations can customize AI to meet their specific business objectives and beliefs.
Course Link Click Here
4. Introduction to Vertex AI Studio
This course covers Vertex AI Studio, a platform for prototyping and customising generative AI models. You’ll learn about the generative AI methodology and how to utilize Vertex AI Studio for Gemini multimodal applications, short design, and model tuning through engaging lessons, interactive demos, and a hands-on lab. The goal is to enable you to use the capabilities of these models into your projects using Vertex AI Studio.
Goals:
• Describe the Vertex AI Studio.
• Use Gemini multimodal with Vertex AI Studio.
• Create prompts by combining setups and best practices.
• Tune models by experimenting with different methods and processes.
Course Link Click Here
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5. Create Real World AI applications with Gemini and Imagen
Are you interested in learning more about deploying applications on the Vertex AI platform, image recognition, natural language processing, and image generation with Google’s powerful Gemini and Imagen models? Participants who are interested should sign up for the Gemini and Imagen course, which Google recommends.
Course Link Click Here
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