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.
Course Price : $2295 Per Participant
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.
Courses
Years of Experience
Global Learners
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).
Lesson
After completing this module, students will be able to:
Lesson
Lab: Get Started with Cognitive Services
Lab: Manage Cognitive Services Security
Lab: Monitor Cognitive Services
Lab: Use a Cognitive Services Container
After completing this module, students will be able to:
Lesson
Lab: Analyze Text
Lab: Translate Text
After completing this module, students will be able to:
Lesson
Lab: Recognize and Synthesize Speech
Lab: Translate Speech
After completing this module, students will be able to:
Lesson
Lab: Create a Language Understanding App
Lab: Create a Language Understanding Client Application
Lab: Use the Speech and Language Understanding Services
After completing this module, students will be able to:
Lesson
Lab: Create a QnA Solution
After completing this module, students will be able to:
Lesson
Lab: Create a Bot with the Bot Framework SDK
Lab: Create a Bot with Bot Framework Composer
After completing this module, students will be able to:
Lesson
Lab: Analyze Images with Computer Vision
Lab: Analyze Video
After completing this module, students will be able to:
Lesson
Lab: Classify Images with Custom Vision
Lab: Detect Objects in Images with Custom Vision
After completing this module, students will be able to:
Lesson
Lab: Detect, Analyze, and Recognize Faces
After completing this module, students will be able to:
Lesson
Lab: Read Text in Images
Lab: Extract Data from Forms
After completing this module, students will be able to:
Lesson
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:
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.
Step 2: Recommended training for certification:
Step 3: Take this exam and get certified.
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