A person can never stop learning at any age. We must embrace new innovations, advancements, and modifications in our daily lives while keeping an open mind to new information. Since its introduction, artificial intelligence (AI) has gained popularity and is causing waves across a variety of industries.
Here are five free AI courses from Google for anyone looking to expand their horizons and learn new skills.
- Introduction to Generative AI
Google is offering a free course called Introduction to Generative AI, which is open to interested parties. The course will cover the definition, applications, and differences between generative and classic machine learning techniques.
Goals:
– Define Generative AI
– Explain how Generative AI works
– Describe Generative AI Model Types
– Describe Generative AI Applications
- Introduction to Image Generation
This is a free course that is recommended for individuals who want to learn about the theory underlying diffusion models and how to train and use them on Vertex AI.
Diffusion models, a class of machine learning models that recently demonstrated potential in the picture generation field, are introduced in this course, according to Google. Diffusion models are inspired by thermodynamics, a branch of physics. Diffusion models have gained popularity in recent years in both industry and academics.
Goals:
– How diffusion models work
– Real use cases for diffusion models
– Unconditioned diffusion models
– Advancements in diffusion models (text-to-image)
- Introduction to Responsible AI
The goal of Google’s introductory-level microlearning course, Introduction to Responsible AI, is to explain what responsible AI is, why it’s essential, and how Google incorporates responsible AI into its products. Additionally, Google’s seven AI tenets are introduced.
Goals:
– Understand why Google implemented AI concepts.
-Determine whether an organization needs to implement responsible AI practices.
– Understand the influence decisions have on responsible AI at every step of a project.
-Acknowledge that companies can tailor AI to their own ideals and business goals.
- Introduction to Vertex AI Studio
Vertex AI Studio, a tool for creating and modifying generative AI models, is introduced in this course. You will gain an understanding of the generative AI pipeline and discover how to use Vertex AI Studio for Gemini multimodal applications, prompt design, and model tweaking through immersive lessons, captivating examples, and an interactive lab. The goal is to give you the tools you need to use Vertex AI Studio to fully utilize these models in your projects.
Goals:
– Describe the capabilities of Vertex AI Studio.
– Utilize Vertex AI Studio with Gemini multimodal.
– Use configurations and best practices to design prompts.
– Adjust models by investigating various methods and procedures.
- Build Real World AI Applications with Gemini and Imagen
Are you curious to find out more about image identification, natural language processing, creating images with Google’s potent Gemini and Imagen models, or implementing Vertex AI platform applications? Google recommends to interested parties the course “Building Real-World AI Applications with Gemini and Imagen.”
