The AI-102: Designing and Implementing a Microsoft Azure AI Solution certification exam tests the candidate’s experience and knowledge of the AI solutions that make the most of Azure Cognitive Services and Azure services. In addition, the exam also tests the candidate's ability to implement this knowledge by participating in all phases of AI solutions development—from defining requirements, and design to development, deployment, integration, maintenance, performance tuning, and monitoring.
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The AI-102: Designing and Implementing a Microsoft Azure AI Solution certification exam tests the candidate’s experience and knowledge of the AI solutions that make the most of Azure Cognitive Services and Azure services. In addition, the exam also tests the candidate's ability to implement this knowledge by participating in all phases of AI solutions development—from defining requirements, and design to development, deployment, integration, maintenance, performance tuning, and monitoring.
The AI-102: Designing and Implementing a Microsoft Azure AI Solution certification exam tests the candidate’s experience and knowledge of the AI solutions that make the most of Azure Cognitive Services and Azure services. In addition, the exam also tests the candidate's ability to implement this knowledge by participating in all phases of AI solutions development—from defining requirements, and design to development, deployment, integration, maintenance, performance tuning, and monitoring.
Take this Designing and Implementing a Microsoft Azure AI Solution: AI-102 exam and become a part of the futuristic world of Artificial Intelligence and grow your career by attaining Azure AI-102 certification.
Azure AI engineers have experience developing solutions that use languages such as Python or C# and should be able to use REST-based APIs and software development kits (SDKs) to build secure image processing, video processing, natural language processing (NLP), knowledge mining, and conversational AI solutions on Azure. They should be familiar with all methods of implementing AI solutions. Plus, they understand the components that make up the Azure AI portfolio and the available data storage options. Azure AI engineers also need to understand and be able to apply responsible AI principles.
This course contains 5+ hours of training videos. Learners could find a total of 90+ lectures in the training course with comprehensive coverage of all topics regarding the exam AI-102: Designing and Implementing a Microsoft Azure AI Solution. These lectures are divided into 5 Modules and each module is further split into lessons. The entire course includes Assessments to validate knowledge checks of learners. Also, a set of Graded Questions is available at the end of every module.
Module 1: Azure AI Solutions: Planning and Management
Module 2: Image & Video Processing Solutions
Module 3: Natural Language Processing (NLP) Solutions
Module 4: Knowledge Mining Solutions
Module 5: Conversational AI Solutions
Enroll in Exam Prep AI-102: Microsoft Azure AI Engineer Associate Course and advance your Azure AI Solution Workload skills with Microsoft Azure.
This training course helps you develop your skills and knowledge in AI-102. You can start with fundamental certifications such as the AI-900 exam. Once you gain command over all phases of AI solutions development, you are ready to start preparing for the AI-102 exam.
This AI-102 course is mainly for those who need opportunities in various job roles such as Cloud Developers, Cloud Engineers, Solutions Architects, and Cloud Architects.
By the end of this course, you will be able to pass the AI-102 exam on the first attempt and master Designing and Implementing a Microsoft Azure AI Solution.
What's inside
Syllabus
Azure AI solutions: Planning and Management
Welcome to Week 1 of the Course. In this week, we’ll explore the basic course introduction and Azure Congitive Services. We will also explore the the concepts of Azure AI services with security based selecion. By the end of the course we'll learn how to create solutions to detect anomalies and improve content.
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Syllabus
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Activities
Online Tutorial: Introduction to NLP
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Review the basics of NLP to strengthen your foundational knowledge before starting the course.
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Natural Language Processing
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Enroll in an online tutorial or course on NLP fundamentals.
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Complete the tutorial, focusing on concepts like text mining, language models, and sentiment analysis.
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Practice using NLP techniques through hands-on exercises.
Attend a Webinar on Azure AI Best Practices
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Participate in a webinar led by industry experts to gain insights into best practices in Azure AI development.
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Azure AI Solutions
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Find and register for a webinar hosted by Microsoft or other reputable organizations.
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Attend the webinar and actively engage with the presenters.
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Take notes on key takeaways and best practices discussed during the webinar.
Practice Azure AI Service REST APIs
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Practicing REST APIs will help you understand how to interact with Azure AI services and build solutions that leverage their capabilities effectively.
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REST APIs
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Review the Azure AI documentation for the REST API you want to use.
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Create a development environment and install the necessary tools.
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Write code to call the REST API and handle the responses.
Two other activities
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Show all five activities
Coding Challenges in Azure
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Engage in hands-on practice to reinforce your understanding of Azure AI development.
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Azure Cognitive Services
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-
Find coding challenges related to Azure Cognitive Services, such as image recognition or text analysis.
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Attempt to solve the challenges using your knowledge of Azure AI tools and techniques.
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Review your solutions and identify areas for improvement.
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Seek feedback from experienced Azure AI engineers or online forums.
AI Blog Post
Show steps
Create a blog post that demonstrates your understanding of a specific Azure AI solution.
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Azure AI Solutions
Show steps
-
Choose an Azure AI solution that interests you, such as image processing or language understanding.
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Research the solution and gather relevant information.
-
Write a comprehensive blog post that explains the solution, its benefits, and how to implement it.
-
Publish your blog post and share it with the community for feedback.
Online Tutorial: Introduction to NLP
Show steps
Review the basics of NLP to strengthen your foundational knowledge before starting the course.
Browse courses on
Natural Language Processing
Show steps
- Enroll in an online tutorial or course on NLP fundamentals.
- Complete the tutorial, focusing on concepts like text mining, language models, and sentiment analysis.
- Practice using NLP techniques through hands-on exercises.
Attend a Webinar on Azure AI Best Practices
Show steps
Participate in a webinar led by industry experts to gain insights into best practices in Azure AI development.
Browse courses on
Azure AI Solutions
Show steps
- Find and register for a webinar hosted by Microsoft or other reputable organizations.
- Attend the webinar and actively engage with the presenters.
- Take notes on key takeaways and best practices discussed during the webinar.
Practice Azure AI Service REST APIs
Show steps
Practicing REST APIs will help you understand how to interact with Azure AI services and build solutions that leverage their capabilities effectively.
Browse courses on
REST APIs
Show steps
- Review the Azure AI documentation for the REST API you want to use.
- Create a development environment and install the necessary tools.
- Write code to call the REST API and handle the responses.
Coding Challenges in Azure
Show steps
Engage in hands-on practice to reinforce your understanding of Azure AI development.
Browse courses on
Azure Cognitive Services
Show steps
- Find coding challenges related to Azure Cognitive Services, such as image recognition or text analysis.
- Attempt to solve the challenges using your knowledge of Azure AI tools and techniques.
- Review your solutions and identify areas for improvement.
- Seek feedback from experienced Azure AI engineers or online forums.
AI Blog Post
Show steps
Create a blog post that demonstrates your understanding of a specific Azure AI solution.
Browse courses on
Azure AI Solutions
Show steps
- Choose an Azure AI solution that interests you, such as image processing or language understanding.
- Research the solution and gather relevant information.
- Write a comprehensive blog post that explains the solution, its benefits, and how to implement it.
- Publish your blog post and share it with the community for feedback.
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