AI-102T00: Designing and Implementing a Microsoft Azure AI Solution Course Overview

AI-102T00: Designing and Implementing a Microsoft Azure AI Solution Course Overview

The AI-102T00: Designing and Implementing a Microsoft Azure AI Solution course is a comprehensive program designed to equip learners with the skills necessary to build, manage, and deploy AI solutions leveraging Microsoft Azure's powerful cloud-based services. The course covers a wide range of topics, from the fundamentals of AI and decision support solutions to more advanced areas like computer vision, natural language processing, and conversational AI.

Throughout the course, participants will engage with Cognitive Services, learning to select and implement the right services for various AI tasks such as vision, language, speech, and decision support solutions. The curriculum includes hands-on labs and exercises that allow learners to apply what they've learned in real-world scenarios, creating and deploying AI solutions on Azure.

By the end of the course, participants will have a solid understanding of how to create a Cognitive Services resource, manage security, and work with containers. They will also be able to analyze images and text, extract facial information, develop language understanding models, and build intelligent bots, all within the Azure AI ecosystem. This course is an excellent choice for those looking to enhance their skills in AI development and gain practical experience with Azure's AI capabilities.

 

 

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1. AI-900T00: Microsoft Azure AI Fundamentals AI-900T00 and AI-102T00 are courses focused on Artificial Intelligence (AI) on Microsoft Azure Read More

2. DP-100T01: Designing and Implementing a Data Science Solution on Azure DP-100T01 and AI-102T00 are courses focused on designing and implementing solutions on Microsoft Azure related to data science and AI, respectively Read More

Course Prerequisites

To successfully undertake the training in the AI-102T00: Designing and Implementing a Microsoft Azure AI Solution course, students should possess the following minimum prerequisites:

  • Basic knowledge of Microsoft Azure services, particularly in the areas of compute, storage, and networking.
  • Fundamental understanding of the concepts of artificial intelligence and machine learning.
  • Experience with writing code in a high-level programming language such as Python, C#, or JavaScript.
  • Familiarity with RESTful services and APIs.
  • An understanding of JSON and data serialization/deserialization.
  • General knowledge of common data storage options (databases, blobs, etc.) and data formats (XML, JSON, etc.).
  • An inclination to learn about Azure Cognitive Services and building intelligent solutions on the Azure platform.

Exam Information

Exam Component

Details

Exam Name

AI-102T00: Designing and Implementing a Microsoft Azure AI Solution

Exam Type

Multiple Choice Questions (MCQs)

Total Questions

40

Passing Score

700 (out of 1000)

Exam Duration

150 minutes

Language

English

Exam Provider

Microsoft

Exam Focus

Designing and implementing Azure AI solutions, including natural language processing, computer vision, and machine learning

Exam Topics

- Analyze solution requirements - Design AI solutions - Integrate AI models into solutions - Deploy and manage AI solutions

Exam Registration

Through Microsoft's official certification website or authorized testing centers

Retake Policy

Candidates can retake the exam after 24 hours if necessary

Certification Validity

1 year (can be renewed)

Recommended Training

Microsoft Azure AI Solution Design and Implementation Training

RoadMap

AI-102T00: Designing and Implementing a Microsoft Azure AI Solution Course

Target Audience for AI-102T00: Designing and Implementing a Microsoft Azure AI Solution

The AI-102T00 course is designed for professionals seeking to implement AI solutions on Microsoft Azure using Cognitive Services.

  • Software Engineers and Developers with an interest in AI
  • AI and Machine Learning Engineers
  • Data Scientists looking to apply AI in their models
  • Cloud Solution Architects focusing on AI-based solutions
  • IT Professionals aiming to expand their Azure skillset
  • Technical Leads and Project Managers overseeing AI projects
  • DevOps Engineers integrating AI into CI/CD pipelines
  • Application Builders incorporating AI features into apps
  • University Students and Researchers in computer science
  • Professionals preparing for the Azure AI Engineer Associate certification

Learning Objectives - What you will Learn in this AI-102T00: Designing and Implementing a Microsoft Azure AI Solution?

  1. The AI-102T00 course equips students with skills to design and implement AI solutions on Microsoft Azure, utilizing Cognitive Services, Machine Learning, and Knowledge Mining.

  2. Learning Objectives and Outcomes:

  • Understand the fundamentals of AI and its implementation within the Azure platform.

  • Learn to select and apply the appropriate Azure Cognitive Services for vision, language, decision support, and speech solutions.

  • Gain proficiency in creating, securing, and consuming Azure AI services and REST APIs.

  • Develop skills to deploy Azure AI services in containers and manage service security and monitoring.

  • Build expertise in computer vision solutions, including image analysis, object detection, and face recognition.

  • Create natural language processing solutions to analyze text, build conversational models, and translate language.

  • Implement Azure Cognitive Search, Azure AI Document Intelligence, and leverage Azure OpenAI Service.

  • Develop conversational AI solutions using Azure Bot Service and create bots with the Bot Framework SDK and Composer.

  • Acquire the ability to integrate Cognitive Services into bots and manage speech services, including speech-to-text and text-to-speech.

  • Master the process of building, training, and optimizing language models using the Language Understanding Service (LUIS).

Career growth after the course:

The AI-102T00 course equips students with skills essential for designing and implementing AI solutions on Microsoft Azure. Completing this training opens career pathways such as AI Engineer, Data Scientist, and Cloud Solutions Architect, prevalent across tech, healthcare, and finance sectors. Participants gain competency in building, managing, and deploying AI applications, enhancing their employability in a job market increasingly reliant on AI technologies. Mastery of Azure AI services positions them favorably in a landscape where AI integration is a trend with significant future scope. Thus, AI-102 training not only boosts immediate career prospects but also prepares learners for the evolving demands of AI-driven industries.

Top Companies Hiring for AI-102T00: Designing and Implementing a Microsoft Azure AI Solution Certified Professionals

Discover leading-edge careers at tech giants such as Microsoft, Amazon, IBM, and Google with AI-102T00 training. These companies highly value Azure AI expertise for innovating in cloud services, AI solutions, and machine learning. Enhance your employability and join the ranks of AI specialists shaping the future of technology.

AI-102T00: Designing and Implementing a Microsoft Azure AI Solution