Why get Microsoft Azure AI Engineer certified?

Future growth in many industries will be empowered by AI and the engineers who work with it. Whether you’re building mission-critical solutions to understand speech, make predictions, or analyze images, or you’re using bots to engage customers and empower employees, there are a lot of career doors to open. The Azure AI Engineer certification is a great opportunity to prove your skills and worth to current and future employers. Earning a Microsoft Certification is globally recognized and industry-endorsed evidence of mastering real world skills. It shows you demonstrate proficiency in keeping pace with technology. It’s a career move that yields many positive results. Getting a Microsoft Certification is also a great way to break into the tech industry. A Microsoft Certification immediately confers a level of authority and expertise, especially helpful for someone new to the industry.

How long is the exam and what types of questions can I expect?

The number of questions on a certification exam is subject to change as Microsoft make updates to ensure it aligns with current changes in the technology and job role. Most Microsoft Certification exams typically contain between 40-60 questions; and around 60-140 minutes.

How long is the Azure AI Engineer ASsociate certification valid for?

Starting June 30 2021, all newly earned role-based and specialty certifications will be valid for one year from the date the certification was earned.

How Learning Partners can help you achieve your learning goals?

To stay up to date, IT pros are constantly learning and adding skills. The IDC study concluded that Microsoft Learning Partners are well positioned to help organizations achieve their business and learning goals. The IT leaders who were surveyed found the most value from a Learning Partner that provides: An end-to-end solution which starts with identifying skill gaps, simplifies the learning experience, and finishes by evaluating how well the Learning Partner met the organization goals. Scale, flexibility, and speed to train teams of any size, in any location, amid changing circumstances. Value-added services, such as hands-on labs, classroom training, and custom content that help the skills development program succeed. High-quality content and delivery, meaning accurate, relevant courseware, top-notch instructors, and a path to certification, if needed.

AI-102T00: Designing and Implementing a Microsoft Azure AI Solution

Overview

Take your AI skills to the next level with the Microsoft Certified: Azure AI Engineer Associate credential.

Gain expertise and skills needed to embed artificial intelligence capabilities into apps, including Cognitive Services, natural language processing, and conversational AI with the Azure AI Engineer Associate certification.

The AI-102T00 Designing and Implementing an Azure AI Solution training is intended for software developers wanting to build AI infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. The course will use C# or Python as the programming language.

Skills Covered

Describe considerations for AI-enabled application development
Create, configure, deploy, and secure Azure Cognitive Services
Develop applications that analyze text
Develop speech-enabled applications
Create applications with natural language understanding capabilities
Create QnA applications
Create conversational solutions with bots
Use computer vision services to analyze images and videos
Create custom computer vision models
Develop applications that detect, analyze, and recognize faces
Develop applications that read and process text in images and documents
Create intelligent search solutions for knowledge mining

Who Should Attend

Software engineers concerned with building, managing and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure.

This AI-102T00 training course prepares students for the Microsoft Certified: Azure AI Engineer Associate certification. The AI-102 exam measures your ability to accomplish the following technical tasks: plan and manage an Azure Cognitive Services solutions; implement Computer Vision solutions; implement natural language processing solutions; implement knowledge mining solutions; and implement conversational AI solutions.

As an Azure AI engineer, you analyze requirements for AI solutions, recommend the appropriate tools and technologies, and design and implement AI solutions that meet scalability and performance requirements. Your responsibilities include translating the vision from solution architects and working with data scientists, data engineers, IoT specialists, and software developers to build complete end-to-end solutions. If this describes your workday, this could be the certification for you.

Course Curriculum

Prerequisites

Before attending this course, students must have:

Knowledge of Microsoft Azure and ability to navigate the Azure portal
Knowledge of either C# or Python
Familiarity with JSON and REST programming semantics
To gain C# or Python skills, complete the free Take your first steps with C# or Take your first steps with Python learning path before attending the course.
If you are new to artificial intelligence, and want an overview of AI capabilities on Azure, consider completing the Azure AI Fundamentals certification before taking this one.

Download Syllabus

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