Microsoft, in partnership with LinkedIn, has introduced a certification course in generative artificial intelligence (AI). This course, part of the broader Microsoft's “Skills for Jobs” program, is aimed at meeting the need for AI competence in the business sector.
Known as the “AI Skills initiative,” the course provides a structured approach to AI learning. It starts with basic concepts, proceeds to responsible AI frameworks, and ends with a Career Essentials certificate in generative AI. Additionally, Microsoft plans to launch a toolkit for educators that includes modular content and examples of AI use, said the company.
Gunjan Patel, Director and Head – Philanthropies, Microsoft India, said: “AI skills are high on companies' training priority list, along with analytical and creative thinking. AI can contribute to worker efficiency, but it is important to equip everyone with the skills to use it. The AI Skills Initiative signals a new phase building on future technology innovation.”
As part of this effort, Microsoft is partnering with data.org and GitHub on a grant challenge. This project invites non-profit organisations, social enterprises, and academic institutions to develop programs for training in generative AI. The grant is particularly focused on initiatives that aim to implement generative AI in a community context, ideally to benefit marginalised populations worldwide.
Organisations selected for this grant will receive financial assistance and access to Azure-based cloud computing resources, data training, technical guidance, and Microsoft events.
Previously in March, LinkedIn, a Microsoft subsidiary, added 100 new AI courses to its platform, over 20 of which are about generative AI. These courses are intended for professionals at varying career stages and in diverse industries. The courses cover a range of topics such as “Intro to GPT-3,” “Applied AI for Human Resources,” “Artificial Intelligence for Marketing,” and “Nano Tips for Using Generative AI Tools for Better Marketing Outcomes.”
CCMB moved 83 terabytes of genomics data to AWS through AWS Snowball, an offline data transfer service. This transition facilitated CCMB's use of the Amazon Genomics CLI tool, processing raw genomics and biological data more efficiently.