Microsoft Azure Women in AI and Data Program

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Microsoft Azure Women in AI and Data Program

Complimentary 1 Day Instructor-led online training

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About this event

Bridging the Gender Gap in Tech

Artificial Intelligence Fundamentals AI900 - More information

It is a simple truth: the field of technology is far too male-dominated. According to 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 sponsored by Microsoft and is free of charge for Women who want to certify and work in the field of AI. The training is limited to 30pax per session.

Fully Sponsored Microsoft training for Women

If the dates don't suit you, register your interest in other sessions here -


  • Candidates for this training should be residents of Malaysia, Singapore, Indonesia, Philippines, Thailand, Sri Lanka, Bangladesh, Laos, Cambodia, Brunei or Vietnam.
  • 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.

Key Benefits of Microsoft 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.

AI900 Course outline

Module 1: Introduction to AI

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.


  • Artificial Intelligence in Azure
  • Responsible AI

Module 2: Machine Learning

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.


  • Introduction to Machine Learning
  • Azure Machine Learning

Module 3: Computer Vision

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.


  • Computer Vision Concepts
  • Computer Vision in Azure

Module 4: Natural Language Processing

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:

  • Describe features of Natural Language Processing (NLP) workloads on Azure

Module 5: Conversational AI

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.


  • Conversational AI Concepts
  • Conversational AI in Azure

DP900 Course Outline

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.

Module 1: Explore core data concepts


  • Explore core data concepts
  • Explore roles and responsiblities in the world of data
  • Describe concepts of relational data
  • Explore concepts of non-relational data
  • Explore concepts of data analytics

Module 2: Explore relational data in Azure


  • Explore relational data services in Azure
  • Explore provisioning and deploying relational database services in Azure
  • Query relational data in Azure

Module 3: Explore non-relational data in Azure


  • Explore non-relational data services in Azure
  • Explore provisioning and deploying non-relational data services on Azure
  • Manage non-relational data stores in Azure

Module 4: Explore modern data warehouse analytics in Azure


  • Examine components of a modern data warehouse
  • Explore large-scale data analytics
  • Get started building with Power BI

Fully Sponsored Microsoft training for Women