There is no specific age to stop learning. As we welcome new innovations, new developments and new transformations in our daily lives, we must adopt a receptive attitude towards learning new things. With the advent of the era of artificial intelligence (simulated intelligence), the world is changing rapidly, as are many technologies in various sectors.
From the moment you wake up to check your smartphone to the moment you watch another movie suggested by Netflix, AI has quickly made its way into our daily lives. Statista’s study indicates that the global AI market is expected to grow by up to 54% per year.
What is artificial intelligence?
A computer program can think and learn for itself thanks to artificial intelligence (AI). This is a recreation of human (and therefore artificial) intelligence in machines to perform tasks that we usually depend on humans to do. This technological marvel goes beyond simple automation, consolidating a wide range of AI capabilities – capabilities that allow machines to understand, reason, learn, and communicate in human ways.
An artificial intelligence program has the ability to learn and think for itself. Anything that consists of a program performing a task that we generally assume a human would perform can be considered artificial intelligence.
5 Free AI Courses Offered by Google
Introduction to Generative AI
Google offers a free course called “Introduction to Generative AI,” which aims to explain what generative AI is, how it is used, and how it differs from conventional machine learning techniques.
Goals:
• Define Generative AI
• Describe how generative AI works
• Explain the types of generative AI models
• Explain the applications of generative AI.
Introduction to Image Generation
If you want to get started on the theory of diffusion models and how to prepare and transmit them on Vertex AI, then at this point this is a suggested course for members and can be taken for free.
Google says the course will focus on diffusion models, a group of machine learning models that have recently shown promise in image generation. Thermodynamics and physics are the main sources of inspiration for diffusion models. In recent years, diffusion models have become well-known in research and industry.
Goals:
• Diffusion model work process
• Real use cases for streaming models
• Unconditional diffusion models
• Progress in delivery models (text to image)
Introduction to Responsible AI
According to Google, the Introduction to Responsible AI course is an introductory-level microlearning course aimed at understanding what responsible AI is, why it matters, and how Google implements responsible AI in its products. Additionally, it introduces Google’s seven AI principles.
Goals:
• Reason why Google implemented AI principles.
• Recognize the need for responsible AI practice within an organization.
• Identify that decisions made at all stages of a project have an impact on responsible AI.
• Identify that organizations can design AI to meet their own business needs and values.
Introducing Vertex AI Studio
Vertex AI Studio, a tool for prototyping and customizing generative AI models, is introduced in this course. Through live lessons, demos, and a hands-on lab, you will explore the generative AI workflow and learn how to use Vertex AI Studio for Gemini multimodal applications, brief design, and model tuning. The goal is to enable you to unlock the capability of these models in your projects with Vertex AI Studio.
Goals:
• Describe Vertex AI Studio.
• Use Gemini multimodal with Vertex AI Studio.
• Design quickly by applying configurations and best practices.
• Adjust models by exploring various methods and processes.
Build real-world AI applications with Gemini and Imagen
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? Interested participants should enroll in the Gemini and Imagen course, recommended by Google.
First published: August 12, 2024 | 6:51 p.m. IST
