AI-100T01: Designing and Implementing an Azure AI Solution Associate (AI Engineer) Training

This technical course teaches professionals to build customer support bot by utilizing AI from the Azure platform, which includes pre-built functionality and language understanding in the Azure Cognitive Services.

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Course Overview

Note: This course is retired, Please contact Microtek Learning Consultant or email us at info@microteklearning.com for assistance.

AI-100T01: Designing and Implementing an Azure AI Solution Associate (AI Engineer) Training provides the necessary knowledge to design an Azure AI solution. This technical course teaches professionals to build customer support bot by utilizing AI from the Azure platform, which includes pre-built functionality and language understanding in the Azure Cognitive Services. It is suitable for Azure Artificial Intelligence designers, Cloud Solution Architects, and AI developers.

AI-100T01: Designing and Implementing an Azure AI Solution Associate (AI Engineer) Training will familiarize with Azure Cognitive Services and enhance bots with Q&A Maker and LUIS. You will learn to develop language understanding functionality with LUIS and the right methodologies to integrate Cognitive Services with Agents and Bots.

This training is designed based on the objectives of the course variant AI-100T01-A

Mode of Training

🏫 Classroom 💻 Live Online 🧪 Blended 👨‍👩‍👧‍👦 Private Group

What you will learn

Introduction to Azure Cognitive Services
Creating Bots
Enhancing Bots with the QnA Maker
Learning How to Create Language Understanding Functionality with LUIS
Enhancing Your Bots with LUIS
Integrating Cognitive Services with Bots and Agents

Who Should Attend This Course?

The Azure AI solution training is aimed at AI developers, Cloud Solution Architects, and Azure artificial intelligence designers.

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📘 AI-100T01: Designing and Implementing an Azure AI Solution Associate (AI Engineer) Outline

The student will learn about the available Cognitive Services on Microsoft Azure and their role in architecting AI solutions.

Overview of Azure Cognitive Services
Creating a Cognitive Service on the Azure Portal
Access and Test a Cognitive Service

The student will learn about the Microsoft Bot Framework and Bot Services.

Introducing the Bot Service
Creating a Basic Chat Bot
Testing with the Bot Emulator

The student will learn about the QnA Maker and how to integrate Bots and QnA Maker to build up a useful knowledge base for user interactions.

Introducing QnA Maker
Implement a Knowledge Base with QnA Maker
Integrate QnA with a Bot

The student will learn about LUIS and how to create intents and utterances to support a natural language processing solution.

Introducing Language Understanding
Create a new LUIS Service
Build Language Understanding with Intents and Utterances

The student will learn about integrating LUIS with a Bot to better understand the users’ intentions when interacting with the Bot.

Overview of language understanding for AI applications
Integrate LUIS and Bot to create an AI-based solution

The student will learn about integrating Bots and Agents with Azure Cognitive Services for advanced features such as sentiment analysis, image and text analysis, and OCR and object detection.

Understand Cognitive Services for Bot Interactions
Perform Sentiment Analysis for your Bot with Text Analytics
Detect Language in a Bot with the Language Cognitive Services
Integrate Computer Vision with Bots

❓ Frequently Asked Questions

At this stage of training, you will learn to:

Identify processes and regulations to conform with regulatory requirements, data privacy and protection
Identify users and groups with access to interfaces and information
Identify tools for solution development
Identify requirements for auditing

During the three days instructor-led training, our highly experienced Azure trainers will teach to make you enable for:

Integrating bots and AI solutions
Designing Bot services that use Language Understanding (LUIS)
Designing Bots that integrate with channels
Integrating Bots with Azure app services and Azure Application Insights

Yes, you can retake the exam after 24 hours of first attempt. If you fail to clear the exam 2d time also, you will have to wait for 14 days.

Your professional credibility for speech recognition, computer vision, natural language processing, bots and agents is certified. As a certified Azure AI engineer, you can earn up to $170,000 / year in the U.S. just after one or two years experience.

Still have questions?

Reach out to our learning advisors for personalized guidance on choosing the right course, group training, or enterprise packages.

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What You Get with Microtek Learning

Instructor-Led Excellence

✓ Certified Instructor-led Training
✓ Top Industry Trainers
✓ Official Student Handbooks

Measurable Learning Outcomes

✓ Pre- & Post-Training Assessments
✓ Practice Tests
✓ Exam-Oriented Curriculum

Real-World Skill Building

✓ Hands-on Activities & Scenarios
✓ Interactive Online Courses
✓ Peer Collaboration (Not in self-paced)

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