Bridging the Gender Gap in AI
It is a simple truth: the field of artificial intelligence is far too male-dominated. According to a recent research by the World Economic Forum and LinkedIn, only 22% of jobs in artificial intelligence are held by women, with even fewer holding senior roles.
Artificial intelligence will reshape every corner of our lives in the coming years—from healthcare to finance, from education to government. It is therefore troubling that those building this technology do not fully represent the society they are poised to transform.
“In order to get a more diverse workforce in AI, we need to increase the pipeline, hire more women and minorities into AI positions and create an environment that gives them opportunities to thrive so that we can retain them,” offered Jennifer Chayes, Managing Director of Microsoft Research New England, NYC and Montreal. Technology could benefit or hurt people, so the usage of tech is the responsibility of humanity as a whole.
The training is sponsored by Microsoft and is free of charge for Women who want to certify and implement AI solutions in their work or daily life. The exam fee of 15 USD will be reimbursed upon successfully passing the exam.
September 25 or October 2/6/9/14/16 (10am – 6pm GMT+8)
Candidates for this training should be residents of the country they are registering for. Basic knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services is useful. This training is intended for candidates with both technical and non-technical backgrounds. Registering for the training requires candidates to commit to a full day training which is followed by a AI-900 certification exam.
Key Benefits of AI-900 Certification
Candidates will receive a vast amount of knowledge on Artificial Intelligence and the ability to identify Microsoft Azure services to support them. Grow your career as an Azure Data Scientist Associate or Azure AI Engineer Associate with the fundamental knowledge of Microsoft Azure AI Fundamentals certification. IT market is flooded with jobs for people who work with data and use Microsoft Azure Services. Candidates having Microsoft certification badges in their CV have a huge advantage. Certification is a quick way to let others know that your skills have been validated.
Upon completion of the Women in AI Program and receiving Microsoft AI 900 Certification, a digital tree is mapped to an actual tree that is planted in various parts of the world to re-develop the world’s forests. Certified trainees can take pride in knowing that they have contributed to environmental conservation. A unique digital code will be provided to them to view the actual location of their tree within our Azure Developer Community Forest. Keep track of the precise location of the tree planted, the farmer who is taking care of it, and much more. Digital tree owners can also easily share the tree experience on social media, amplifying the tree initiative.
Microsoft Azure AI Fundamentals
1 Day Instructor-led training 9am – 5pm
This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.
The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.
Preparation for exam: AI-900 (exam fee will be reimbursed after successfully passing the exam)
- Describe Artificial Intelligence workloads and considerations
- Describe fundamental principles of machine learning on Azure
- Describe features of computer vision workloads on Azure
- Describe features of Natural Language Processing (NLP) workloads on Azure
- Describe features of conversational AI workloads on Azure
Malaysia, Indonesia, Vietnam, Philippines, Singapore – Upcoming sessions, date to be announced register your interest here
- Malaysia – March 20, May 26, June 11
- Indonesia – April 3, May 22
- Vietnam – May 28, June 2, June 12
- Philippines – March 27, May 22, June 12
- Singapore – April 14, May 29, June 12
- Sri Lanka – May 8, June 19
- Korea – April 17, May 1, June 19
- Thailand – June 22
- APAC June 28, June 30