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. 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 and exam is fully sponsored by Microsoft and is free of charge for Women who want to certify and implement AI solutions in their work or daily life.
Microsoft Azure Women in AI Program organized by iTrain Asia and sponsored by Microsoft is a training part of Microsoft’s initiative Code; Without Barriers. Technology continues to have a growing impact on every person and organization. Yet gender and minority gaps continue to widen in the tech industry, limiting the potential for more inclusive innovations. To overcome this, Microsoft is launching its CODE; WITHOUT BARRIERS campaign to foster more diversity and inclusion in the developer community and beyond.
Technology continues to have a growing impact on every person and organization. Yet gender and minority gaps continue to widen in the tech industry, limiting the potential for more inclusive innovations. To overcome this, Microsoft in collaboration with iTrain Asia and Girls in Tech APAC is launching its Code; Without Barriers Hackathon program to foster more diversity and inclusion in the developer community and beyond. A month long Hackathon for women in Asia Pacific region that will upskill them and ultimately gain hands-on experience solving real-life problems that matter globally. The Hackathon is supported by Code; Without Barriers partner companies. The program provides a platform to enable female developers, coders, and other technical talent to contribute towards inclusive economic growth, encourage innovation and better reflect the societal makeup of their region.
Candidates for this training have to be residents of either Malaysia, Indonesia, Singapore, Thailand, Laos, Brunei, Philippines, South Korea, Vietnam, Cambodia, Bangladesh and Sri Lanka. 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 certification exam.
Candidates will receive a vast amount of knowledge on Artificial Intelligence, Data Science and the ability to identify Microsoft Azure services to support them. They can grow their career as an Azure Data Scientist Associate or Azure AI Engineer Associate with the fundamental knowledge of Microsoft Azure AI and Data Science 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.
In this module, you’ll learn about common uses of artificial intelligence (AI), and the different types of workload associated with AI. You’ll then explore considerations and principles for responsible AI development.
Machine learning is the foundation for modern AI solutions. In this module, you’ll learn about some fundamental machine learning concepts, and how to use the Azure Machine Learning service to create and publish machine learning models.
Computer vision is a the area of AI that deals with understanding the world visually, through images, video files, and cameras. In this module you’ll explore multiple computer vision techniques and services.
This module describes scenarios for AI solutions that can process written and spoken language. You’ll learn about Azure services that can be used to build solutions that analyze text, recognize and synthesize speech, translate between languages, and interpret commands.
After completing this module you will be able to:
Conversational AI enables users to engage in a dialog with an AI agent, or bot, through communication channels such as email, webchat interfaces, social media, and others. This module describes some basic principles for working with bots and gives you an opportunity to create a bot that can respond intelligently to user questions.
In this course, students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Microsoft Azure. They will explore the roles, tasks, and responsibilities in the world of data. The students will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure. They will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure. Students will explore the processing options available for building data analytics solutions in Azure. They will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Students will learn what Power BI is, including its building blocks and how they work together.