AI-102: Designing and Implementing an Azure AI Solution
Software professionals can improve their abilities by creating and implementing AI-powered applications on Microsoft Azure with the aid of an Azure AI Solution certification training course. With either C# or Python for development, the course prepares learners to use Azure’s AI services for applications like computer vision, language analysis, and even generative AI.
Overview
The course AI-102: Designing and Implementing an Azure AI Solution prepares programmers to create and implement state-of-the-art AI applications on Microsoft Azure. Develop creative solutions for intelligent search and knowledge mining by utilizing the power of state-of-the-art artificial intelligence services like Computer Vision, Language Analysis, and Azure OpenAI. The course assumes that students are familiar with REST APIs and fundamental AI ideas, and it is developed in C# or Python.
What you will learn in Designing and Implementing an Azure AI Solution Certification Course?
- Design and deploy intelligent applications on Microsoft Azure using AI services like Computer Vision and Language Analysis.
- Leverage Azure OpenAI to integrate generative AI functionalities into your Azure solutions.
- Develop applications for tasks like intelligent search, knowledge mining, and computer vision analysis using C# or Python.
- Confidently utilize REST APIs to interact with Azure AI services for efficient application development.
- Master the deployment and management of AI solutions within the Azure cloud environment.
- Gain a comprehensive understanding of core Azure AI services and their use cases for various applications.
Who should attend this Designing and Implementing an Azure AI Solution Certification Course?
- Software Developers
- AI Engineers
- Front-End Developers
- Full-Stack Developers
- Machine Learning Engineers
- Data Scientists
- Solutions Architects
Our Package
Learning Path 1: Introduction to AI and AI on Azure Modules
- Introduction to AI
- AI on Azure
- Get started with Azure AI services
- Using Azure AI Services for enterprise applications
Learning Path 2: Develop Computer Vision Solutions with Azure AI Vision Modules
- Analyze and manipulate images
- Create a custom vision model
- Detect and recognize faces
- Analyze video
Learning Path 3: Develop Natural Language Processing Solutions Modules
- Analyzing and translating text
- Build a question answering solution
- Build a conversational language understanding app
- Custom classification and named entity extraction
- Speech recognition, synthesis, and translation
Learning Path 4: Develop Generative AI Solutions with Azure OpenAI Service Modules
- Get started with Azure OpenAI service
- Develop apps with Azure OpenAI service
- Apply prompt engineering with Azure OpenAI service
- Use your own data with Azure OpenAI service
Learning Path 5: Creating a Knowledge Mining Solution Modules
- Implementing an intelligent search solution
- Developing custom skills for an enrichment pipeline
- Creating a Knowledge Store
Learning Path 6: Develop Solutions with Azure AI Document Intelligence Modules
- Use prebuilt document intelligence models
- Train a custom document intelligence model
Labs:
- Get started with Azure OpenAI service
- Analyze images with Azure AI vision
- Read text in Images
- Classify images with a custom Azure AI vision model
- Analyze text
- Create question answering solution
- Create a language understanding model
- Integrate Azure OpenAI into your app
- Utilize prompt engineering in your app
- Use your own data with Azure OpenAI
- Create a custom skill for Azure AI search
- Custom document intelligence models
Upcoming Batch
April 20th (Weekends)
FRI & SAT (4 Weeks)
08:30 PM to 01:00 AM (CDT)
April 18th (Weekdays)
MON – FRI (18 Days)
10:00 AM to 12:00 PM (CDT)
Designing and Implementing an Azure AI Solution FAQs
Q. What is the Azure AI Engineer Associate Certification?
Ans.
The Microsoft Azure AI Engineer Associate certification validates your skills in designing and implementing Artificial Intelligence (AI) solutions using Azure AI services. It demonstrates your ability to build, deploy, and manage intelligent applications on Microsoft Azure.
Q. What are the prerequisites for enrolling in the Azure AI Engineer Associate Certification course?
Ans.
- Knowledge of Microsoft Azure and ability to navigate the Azure portal.
- Knowledge of either C# or Python
- Familiarity with JSON and REST programming semantics
Q. How can the Azure AI Engineer Associate Certification benefit my career?
Ans.
- Validating your expertise
- Enhancing your job prospects
- Boosting your earning potential
Q. What is the format of the Azure AI Engineer Associate Certification exam?
Ans.
The Azure AI Engineer Associate exam (AI-102) is a proctored online exam with multiple-choice questions. You’ll have 100 minutes to complete the exam, which typically consists of around 40-60 questions.
Q. Who should pursue the Azure AI Engineer Associate Certification?
Ans.
- Software Developers
- AI Engineers
- Front-End Developers
- Full-Stack Developers
- Machine Learning Engineers
- Data Scientists
- Solutions Architects
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