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

With the help of Microsoft Azure’s robust cloud-based services, learners can build, manage, and implement AI solutions with the help of this comprehensive program, AI-102T00: Designing and Implementing a Microsoft Azure AI Solution. From the foundations of artificial intelligence and decision support systems to more complex subjects like computer vision, natural language processing, and conversational AI, the course covers a wide range of topics. Participants will interact with Cognitive Services during the course, picking and applying the appropriate services for a range of AI tasks, including speech, language, vision, and decision support. The curriculum includes practical labs and exercises that let students create and implement AI solutions on Azure, putting what they’ve learned to use in real-world situations. Participants will have a firm grasp on how to use containers, handle security, and build a Cognitive Services resource by the end of the course. Within the Azure AI ecosystem, they will also be able to create intelligent bots, acquire facial recognition data, analyze text and images, and create language understanding models. For individuals who want to improve their AI development abilities and obtain hands-on experience with Azure’s AI features, this course is a great option.

Course Prerequisites

In order for students to complete AI-102T00: Designing and Implementing a Microsoft Azure AI Solution training, they must meet the following minimal requirements:

• A basic understanding of Microsoft Azure services, especially with regard to networking, storage, and computation.
• Basic comprehension of machine learning and artificial intelligence concepts.
• Familiarity with writing code in high-level programming languages like JavaScript, C#, or Python.
• knowledge of RESTful APIs and services.
• knowledge of data serialization and deserialization as well as JSON.
• General familiarity with common data formats (XML, JSON, etc.) and storage options (blobs, databases, etc.).
• A desire to learn more about creating intelligent solutions on the Azure platform and Azure Cognitive Services.

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

Professionals looking to use Cognitive Services to implement AI solutions on Microsoft Azure are intended for the AI-102T00 course.

• AI-interested software developers and engineers
• Engineers in AI and Machine Learning
• Looking to incorporate AI into their models are data scientists
• Cloud solution architects with an emphasis on artificial intelligence
• IT specialists looking to broaden their Azure skill set
• Project managers and technical leads in charge of AI initiatives
• AI is being integrated into CI/CD pipelines by DevOps engineers.
• Application developers using AI capabilities in their apps
• Computer Science Researchers and Students at Universities
• Professionals getting ready to become certified as Azure AI Engineer Associates

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

1. The AI-102T00 course gives students the knowledge and abilities to use Cognitive Services, Machine Learning, and Knowledge Mining to design and implement AI solutions on Microsoft Azure.
2. Learning Goals and Results

• Recognize the foundations of artificial intelligence and how the Azure platform uses it.
• Discover how to choose and use the right Azure Cognitive Services for speech, language, vision, and decision support applications.
• Learn how to create, secure, and use REST APIs and Azure AI services.
• Gain expertise in managing service security and monitoring, as well as deploying Azure AI services in containers.
• Develop your knowledge of computer vision solutions, such as face recognition, object detection, and image analysis.
• Develop natural language processing tools for text analysis, language translation, and conversational model construction.
• Use Azure OpenAI Service, Azure Cognitive Search, and Azure AI Document Intelligence.
• Use the Bot Framework SDK and Composer to create bots, and use Azure Bot Service to develop conversational AI solutions.
• Gain the capacity to oversee speech services, such as text-to-speech and speech-to-text, and incorporate Cognitive Services into bots.
• Learn how to use the Language Understanding Service to create, train, and optimize language models (LUIS).

Growth in career following the course:

Students who complete the AI-102T00 course will have the necessary skills to design and implement AI solutions on Microsoft Azure. Upon completion of this training, one can pursue careers in the tech, healthcare, and finance sectors as an AI engineer, data scientist, or cloud solutions architect, among other roles. By developing, managing, and implementing AI applications with proficiency, participants improve their employability in a labor market where AI technologies are becoming more and more important. Being proficient with Azure AI services puts them in a good position in a market where AI integration is a trend with enormous potential. As a result, AI-102 training improves students’ chances of landing a job right away while also preparing them for the changing needs of AI-driven industries.

With AI-102T00 training, learn about cutting-edge careers at tech behemoths like Microsoft, Amazon, IBM, and Google. When it comes to cloud services, AI solutions, and machine learning innovation, these businesses place a high value on Azure’s AI expertise. Boost your employability and become one of the AI experts influencing technology in the future.