AI-102 Study Cram - Azure AI Engineer Associate Certification

3 min read 8 months ago
Published on May 09, 2024 This response is partially generated with the help of AI. It may contain inaccuracies.

Table of Contents

Tutorial: How to Prepare for Azure AI Engineer Associate Certification (AI-102) Exam

In this tutorial, we will guide you through the key insights from the YouTube video titled "AI-102 Study Cram - Azure AI Engineer Associate Certification" by John Savill's Technical Training. The video provides a study cram for the AI-102 Designing and Implementing a Microsoft Azure AI Solution exam, which leads to the Azure AI Engineer Associate certification.

Let's break down the video into actionable steps to help you prepare effectively for the certification exam:

Step 1: Introduction

  • Begin by watching the introduction of the video to understand the content covered in the study cram session.

Step 2: Recommended Learning

  • Follow the recommended learning path provided in the video to enhance your understanding of Azure AI concepts.

Step 3: Responsible AI

  • Learn about the importance of Responsible AI and its implications in designing AI solutions on Azure.

Step 4: Understanding AI

  • Gain insights into the fundamentals of AI and its applications in the Azure environment.

Step 5: Azure ML

  • Explore Azure Machine Learning and its capabilities for building and deploying machine learning models.

Step 6: Azure Cognitive Services

  • Understand the features and functionalities of Azure Cognitive Services for implementing AI solutions.

Step 7: Deploying to Azure

  • Learn how to deploy AI solutions to Azure cloud infrastructure securely.

Step 8: Network Protection

  • Discover network protection considerations for Azure Cognitive Services deployment.

Step 9: REST API and SDK

  • Understand how to interact with Azure Cognitive Services using REST API and SDKs.

Step 10: Pricing and Monitoring

  • Explore pricing models and monitoring tools for Azure AI services.

Step 11: Deploying to Containers

  • Learn how to deploy cognitive services to containers for scalability and flexibility.

Step 12: Visual Perception Services

  • Explore visual perception services offered by Azure for image recognition and analysis.

Step 13: Language Understanding

  • Dive into language understanding capabilities provided by Azure Cognitive Services.

Step 14: Question Answering and Text Analysis

  • Learn about question-answering techniques and text analysis using Azure AI services.

Step 15: Translation

  • Explore language translation services available on Azure for multilingual applications.

Step 16: Speech Services

  • Understand speech recognition and synthesis services provided by Azure Cognitive Services.

Step 17: Decision Making

  • Learn about decision-making algorithms and tools for AI solutions on Azure.

Step 18: Forms Recognizer and Pre-built Models

  • Explore Forms Recognizer and pre-built AI models for document processing.

Step 19: Bot Service

  • Discover how to build intelligent chatbots using Azure Bot Service.

Step 20: Cognitive Services and OpenAI

  • Explore a wide range of cognitive services and OpenAI services available on Azure.

Step 21: Summary

  • Recap the key learnings from the video and prepare a study plan based on the topics covered.

By following these steps and utilizing the key links provided in the video description, you can effectively prepare for the Azure AI Engineer Associate Certification exam (AI-102). Good luck on your certification journey!