Google has recently launched free as well as paid generative AI training courses on its Cloud Skills Boost platform. Among the range of training programs offered by Google on generative AI, two of these learning paths are available on the Google Cloud Skills Boost platform.
The path “Introduction to Generative AI” is an introductory program that is a non-technical course best for individuals involved in sales, marketing, human resource management, and operational roles. The other path “Generative AI for Developers” includes technical hands-on labs and courses designed for software developers and engineers dealing in the technical sphere.
Each of these learning paths offers a comprehensive mix of theoretical knowledge and practical experience through video courses, hands-on labs, and opportunities to earn skill badges.
Introduction to Generative AI
Google’s “Introduction to Generative AI” learning path is being offered for free to students. The course duration is only 45 minutes during which students will be introduced to the basics of generative AI, how generative AI works, model types, and their applications.
Once you have completed the course you will be eligible to receive a digital skill badge that can be displayed on your resume and social media to showcase your knowledge of Google Cloud’s generative AI technology.
Generative AI for Developers
The “Generative AI for Developers” learning path is designed for app developers, machine learning engineers, and data scientists. The course offers an intermediate level of knowledge and participants will be charged a certain course fee to access it. The only prerequisite for this advanced learning path is you must have completed the course “Introduction to Generative AI”.
The course has 9 activities that include
- Introduction to Image Generation
- Attention Mechanism
- Encoder-Decoder Architecture
- Transformer Models and BERT Model
- Create Image Captioning Models
- Introduction to Generative AI Studio
- Generative AI Explorer – Vertex AI
- Explore and Evaluate Models using Model Garden
- Prompt Design using PaLM