Microsoft is offering free artificial intelligence (AI) skills training to people worldwide in April and May. Microsoft wants to make AI education available to beginners and experts.
Microsoft is also trying to set a new Guinness World Record. They want the most users to complete an online AI lesson with many levels in 24 hours. The record attempt will take place from April 7 at 23:00 UTC to April 8 at 23:00 UTC.
Microsoft is working with the Guinness World Records organization to ensure the event’s official status. Other groups have previously set records for online learning, such as the South Asian Women in Tech event series and companies like Capital One and Magma Talent Studio. Microsoft’s free AI training has lessons for all skill levels.
Free AI skills training event
It covers basic AI ideas like machine learning, computer vision, and natural language processing. It also includes hands-on exercises using Microsoft’s Azure AI tools and Copilot.
The lessons are available in many languages, such as English, Spanish, French, German, Italian, Japanese, Korean, and Mandarin Chinese. Beginners can start with simple lessons about using AI at home and work, while advanced learners will find lessons about more complex AI topics.
Along with the world record attempt, the training event includes hackathons, self-paced learning, challenges, community forums, meetups, and opportunities for Microsoft’s partners to showcase their AI products and services. Microsoft’s AI skills training is a special chance for people to learn valuable skills for free and participate in a world record attempt. The event aims to make AI education available to everyone and bring together a community of learners and experts who want to improve their skills.
Visit Microsoft’s official website to learn more and sign up for the training.
Cameron is a highly regarded contributor in the rapidly evolving fields of artificial intelligence (AI) and machine learning. His articles delve into the theoretical underpinnings of AI, the practical applications of machine learning across industries, ethical considerations of autonomous systems, and the societal impacts of these disruptive technologies.
