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| Vietnam - May 28 or June 2 or June 12 (9am - 5pm) |
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 work in the field of AI, the exam fee of 15 USD will be reimbursed upon successfully passing the exam.
Complimentary Registration for Women Data Scientist
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.
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.
Key Benefits of AI-900 Certification
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.
Lessons
After completing this module you will be able to:
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.
Lessons
After completing this module you will be able to:
Module 3: Computer Vision
Computer vision is 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.
Lessons
After completing this module you will be able to:
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:
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.
Lessons
After completing this module you will be able to:
