AI-102: Designing & Implementing a Microsoft Azure AI Solution Training
Microsoft Azure AI Solution is a great course that is intended for all software developers. For any professional who wants to create an AI application, designing and implementing a Microsoft Azure AI solution is the course they need.
Microsoft Azure AI Solution is a great course that is intended for all software developers. For any professional who wants to create an AI application, designing and implementing a Microsoft Azure AI solution is the course they need. This program describes the need for AI development in application.
After completing this program, professionals will create, configure, deploy, and secure the Azure cognizant services. As a developer, a professional will also create an application that analyzes a text. This certification program offers much more. It includes creating speech-enabled apps, development of applications with natural language understanding skills, creation of conversational bots, design of QNA, face recognition applications, and many more.
After successful completion of the course, professionals will establish themself as AI engineers.
This training is designed based on the objectives of the course variant AI-102T00-A.
Live instructor-led interactive sessions with Microsoft Certified Trainers (MCT).
Access to Microsoft Official Courseware (MOC).
Real-time Virtual Lab Environment.
Experience 24*7 Learner Support.
Self-paced learning and flexible schedules.
Years of Experience
What you will learn
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
Familiarity with JSON and REST programming semantics.
Knowledge of Microsoft Azure and ability to navigate the Azure portal.
Who should attend this course?
Software engineers are 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 of using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure.
Microsoft Learning Partner
Microtek Learning is a Microsoft Certified Partner for Learning Solutions. This
class uses official Microsoft courseware and will be delivered by a Microsoft
Certified Trainer (MCT).
Developing Custom Skills for an Enrichment Pipeline
Creating a Knowledge Store
Lab: Create an Azure Cognitive Search solution
Lab: Create a Custom Skill for Azure Cognitive Search
Lab: Create a Knowledge Store with Azure Cognitive Search
After completing this module, students will be able to:
Create an intelligent search solution with Azure Cognitive Search
Implement a custom skill in an Azure Cognitive Search enrichment pipeline
Use Azure Cognitive Search to create a knowledge store
What Exam Do I Need To Get Certified?
About the Certifications
Students for the Azure AI Engineer Associate certification must have experience in managing, building, and deploying AI solutions that support Azure Cognitive Search, Azure Cognitive Services, and Microsoft Bot Framework.
The responsibility with this certification is participating in all aspects of AI solutions development, from requirements definition and design to development, maintenance, deployment, performance tuning, and monitoring.
The job role Azure AI Engineers work with solution architects to translate their vision with data engineers, data scientists, IoT specialists, and AI developers to build complete end-to-end AI solutions.
Students for this AI certification must be experts in C# or Python and know how to use REST-based APIs and SDKs to build computer vision, knowledge mining, natural language processing, and conversational AI solutions on Azure.
Students also know the components that make up the Azure AI portfolio and the available data storage options. With this, students have to understand and be able to apply the responsible AI principle.
Step 1: Review the skills and knowledge required to certify.
The ones preparing for the AI-102 exam and Microsoft Certified: Azure AI Engineer Associate certification
Plan and manage an Azure Cognitive Services solution
Implement Computer Vision solutions
Implement natural language processing solutions
Implement knowledge mining solutions
Implement conversational AI solutions
Certification Latest Updates
Previously, Microsoft role-based and specialty certifications were valid for two years.
Starting June 2021, certifications are valid for one year, but they can be renewed online for free at Microsoft Learn.
The renewal window begins six months before the cert expires. During this window, before the cert expires, you can take a free online assessment and get the cert extended by one additional year from the current expiration date.
Want the best of both worlds, old and new? Certifications earned before June 2021 will be valid for two years and eligible for the new renewal process.