AI-102 Designing & Implementing an AI Solution Certification Track (4 after-hours sessions) Course Outline
Special Note to New Hampshire ResidentsThis course has not yet been approved by the New Hampshire Department of Education. Please contact us for an update on when the class will be available in New Hampshire.
Special Microsoft AI Summit Event
This class is a specially-priced certification event that is subsidized by Microsoft. It covers the material related to the Microsoft AI Engineer Associate Certification (AI-102) and includes a certification exam voucher.
NOTE: This course is in a cohort-based learning format that combines live, instructor-led training with self-paced study. The course will meet online with the instructor for approximately 2.5 hours each week--4 live sessions spread over a 4-week period. (Hover your mouse on the course date to view dates & times). In addition to the live class time participants should expect to spend 2 to 3 hours per week on self-study and labs.
Overview
This course provides an overview of Microsoft's artificial intelligence capabilities using Azure Cognitive Services, Bots, and Agents and Azure's built-in AI functionality. This course also helps attendees prepare for Microsoft certification exam AI-102 Designing and Implementing an AI Solution.
Preparation for Microsoft exam: AI-102
Bonus: Certification Voucher
As a part of the Microsoft Generative AI Summit, participants are eligible to receive a free Certification Exam Voucher for the AI-102: Designing and Implementing an AI Solution certification exam offered by Microsoft.
Prerequisites
Before attending this course, students must have:
Azure Fundamentals or equivalent experience. Also, some programming experience is considered helpful.
Audience profile
This course is aimed at Cloud Solution Architects, Azure artificial intelligence designers, and AI developers.
COURSE OUTLINE
Module 1: Introducing Azure Cognitive Services
The student will learn about the available Cognitive Services on Microsoft Azure and their role in architecting AI solutions.
Lessons
Overview of Azure Cognitive Services
Creating a Cognitive Service on the Azure Portal
Access and Test a Cognitive Service
Module 2: Creating Bots
The student will learn about the Microsoft Bot Framework and Bot Services.
Lessons
Introducing the Bot Service
Creating a Basic Chat Bot
Testing with the Bot Emulator
Module 3: Enhancing Bots with QnA Maker
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.
Lessons
Introducing QnA Maker
Implement a Knowledge Base with QnA Maker
Integrate QnA with a Bot
Module 4: Learn How to Create Language Understanding Functionality with LUIS
The student will learn about LUIS and how to create intents and utterances to support a natural language processing solution.
Lessons
Introducing Language Understanding
Create a new LUIS Service
Build Language Understanding with Intents and Utterances
Module 5: Enhancing Your Bots with LUIS
The student will learn about integrating LUIS with a Bot to better understand the users intentions when interacting with the Bot.
Lessons
Overview of language understanding for AI applications
Integrate LUIS and Bot to create an AI-based solution
Module 6: Integrate Cognitive Services with Bots and Agents
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.
Lessons
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
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