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AI-3016: Develop generative AI apps in Azure AI Foundry Portal Certification

Vinsys offers AI-3016: Develop generative AI apps in Azure AI Foundry Portal, a one-day instructor-led course in Qatar that trains you to utilize prompt flow to create applications that employ language models in the Azure AI Foundry. Enroll in this course to learn how to use Azure AI Studio's

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AI-3016: Develop generative AI apps in Azure AI Foundry Portal
  • training
  • qa
  • Domain / Vendor
  • develop generative ai apps in azure ai 3016 certification
Work on real-world AI projects at Azure AI Foundry to gain hands-on experience.
Learn the best practices in the industry to keep up with the market needs.
Accelerate learning with a course designed to teach concepts of practical AI usage.
Get seamless support and mentorship from professionals in the field.
OverviewLearning ObjectivesWho Should AttendPrerequisiteOutline

Course Overview

Generative AI is now more accessible than before, following the introduction of new platforms like Azure AI Foundry. The 1-day AI-3016: Develop generative AI apps in Azure AI Foundry Portal, which focuses on creating applications that help users achieve their goals through language models and prompt flow-powered generative AI apps. For AI practitioners and developers, the tools found in Azure AI Foundry will harness the imagination because it allows you to analyze and improve the performance of your generative AI applications using the features in Azure AI Studio.
You can leverage language models to design and implement advanced applications in the Microsoft Azure cloud. This course is designed for data scientists and AI engineers who wish to integrate innovation with efficiency. In addition, with proper planning and preparation, you can create services that allow your development team to work in the best possible conditions.
Discover how to use prompt flow to build applications integrating language models in Azure AI Foundry. Enrol in this course to study the different language models offered in the model catalog of Azure AI Foundry. Learn how to choose a model, deploy it, run tests, and make adjustments to enhance its effectiveness.

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Course Objectives

Upon completion of this program, participants will be able to:

  • Explore and apply the features and functions Azure Studio offers.   
  • Create and Maintain AI projects and resources within Azure AI Studio.   
  • Manage the application development life cycle of a language model using prompt flow.    
  • Use custom data to enhance language models with Retrieval Augmented Generation (RAG).   
  • Create generative AI solutions while proactively predicting and minimizing risks.     
  • Hands-on labs enable the practical application of concepts learned in theory.   
  • Explain the productivity features and functions in Azure AI Studio.    
  • Implement and maintain AI resources and projects using Azure AI Studio.   
  • Know the phases of the development cycle for language model applications and the purpose of prompt flow.   
  • Anticipate, quantify, and reduce risks in generative AI solutions.

Audience

The AI-3016: Develop generative AI apps in Azure AI Foundry Portal course is designed for a broad range of learners, including:

  • AI Architects
  • Data Analysts
  • MLOPs
  • Programmers
  • Cloud Architects
  • Specialists in Information Technology
  • Team Leaders
  • System Architects
  • AI Admirers
  • AI Project Engineers
  • IT Supervisors
  • Systems Integrators
  • Research and Development Engineers
  • Digital Transformation Specialists
  • Tech Product Manager

Eligibility Criteria

Before beginning this module, you should understand basic AI concepts and services offered in Azure. Consider completing the Get Started With Artificial Intelligence learning path first. Please contact us to learn more.

Course Outline

Module 1: Plan and prepare to develop AI solutions on Azure

  • Identify the appropriate Azure services for the AI project.
  • Create a functional workspace for the project team’s work.
  • Brief all team members on the expectations and objectives of the projects.
  • Optimize services for Azure for scalability and performance needs.
  • Establish processes for control/versioning and collaboration.
  • The process of testing and deploying services should be executed smoothly.

Module 2: Explore and deploy models from the model catalog in Azure AI Foundry portal

  • View all the available artifacts in the AI Foundry model catalog language models.
  • Determine the appropriate model for the selected project.
  • Integrate the selected model into the solution provided.
  • Measure the performance of the model.
  • Improve the model performance as necessary.

Module 3: Develop an AI app with the Azure AI Foundry SDK

  • Construct AI programs using the Azure AI Foundry SDK.
  • Use the SDK in conjunction with other Azure AI Foundry projects.
  • Build program components using the provided resources.
  • Perform testing and optimization of the programs.

Module 4: Get started with prompt flow to develop language model apps in the Azure AI Foundry

  • Master prompt flow usage for building language model apps in Azure AI Foundry.
  • Integrate prompt flow with language models.
  • Develop applications that use prompt flow for AI functions.
  • Tune prompt flow to enhance the accuracy and performance of the apps.

Module 5: Build a RAG-based agent with your own data using Azure AI Foundry

  • Construct a RAG-based agent utilizing your data within Azure AI Foundry
  • Use language models for content generation and question answering.
  • Custom data can be uploaded to guarantee the agent fetches the required information.
  • Build agents that can provide recommendations and help with decision-making.
  • Load the agent with your data to increase usefulness and ensure accuracy.

Module 6: Fine-tune a language model with Azure AI Foundry

  • Adjust a foundational language model to work with chat completion in Azure AI Foundry.
  • Implement open-source models from the model catalog for personalization.
  • Adapt the model to satisfy specific behavioral requirements.
  • Train the model for better accuracy and performance on your specific task.

Module 7: Evaluate the performance of generative AI apps with Azure AI Foundry

  • Assess how generative AI applications perform in relation to user expectations and needs.
  • Evaluate the application’s effectiveness using the tools provided in Azure AI Studio.
  • Maintain and manage the AI technologies for enhancement over time.
  • Improve the app quality and the overall experience using the functionalities offered by Azure AI Foundry.

Module 8: Responsible generative AI

  • Generative AI should be employed in ways that do not produce any negative content.
  • Aim for potential positive outcomes while keeping ethical considerations at the forefront.
  • AI content moderation should be applied so as to reduce exposure to potential harm. 
  • Use and implement AI features in a manner that will create the least negative impact.

Choose Your Preferred Mode

trainingoption

Online Training

  • Participatory lessons and group work foster active learning, understanding, collaboration, and teamwork.
  • Get access to instructors with vast industry experience.
  • Upon completion, learners receive a certification easily recognizable by employers and industry professionals. 
  • Learners can choose to work either part-time or full-time, making it easier for them to accommodate other commitments.
Enroll Now 
trainingoption

Corporate Training

  • Learners can utilise various current materials, from videos to case studies, and even AI development tools that will expand their skills.
  • Training paths can be tailored so learners can develop skills and boost performance. 
  • Learners participate in collaborative projects that help develop their problem-solving skills and ability to work in teams. 
  • Course content is constructed in a way that tackles real-world issues, so learners acquire knowledge relevant to the market.
Enroll Now 

FAQ’s

What is the duration of the AI-3016: Create Generative AI applications in Azure AI Foundry Portal course?

Depending on the delivery mode you select, the course will take at least one day. 

How would an organization profit from the Azure AI Foundry Portal training on developing generative AI apps?

Organizations may get greater scalability, a quicker time to market, and more straightforward development procedures by creating generative AI applications with the Azure AI Foundry Portal. The businesses will benefit from improved cooperation, lower expenses, access to cutting-edge AI capabilities, and the capacity to create highly customized generative AI solutions suited to particular business requirements.

What does generative AI aim to achieve?

Generative AI models are able to create new material in any of the aforementioned modalities using inputs like text, images, audio, video, and code. It may, for instance, convert text inputs into images, images into songs, or videos into text.

What advantages may developers expect from using the generative AI Hub? 

The generative AI Hub gives developers access to both proprietary and open-source big language models, together with tools for experimentation, quick engineering, and integrating foundation models into applications.

Will the course notes be sent to me for future use? 

Totally. We provide thorough, well-written course notes for all of our courses, but students are not required to take them unless they so want. To help candidates make the connection between the technical ideas being taught, our course notes provide thorough diagrams and examples. 

Is post-lab access included in this course? 

Post-lab access is available for 30 to 180 calendar days after the course is over. 

What career possibilities are available after completing the Azure AI Foundry Portal's Develop Generative AI Apps course?

You can work as an Azure AI Engineer, Machine Learning Engineer, Generative AI Developer, AI Solutions Architect, or in a specialized position in your sector that focuses on creating AI-powered apps after creating generative AI applications using the Azure AI Foundry site.

Is Vinsys a Microsoft-approved partner?

Vinsys works collaboratively with partners to improve current services, grow its clientele, and provide instructional content. Vinsys offers Microsoft technology certifications that demonstrate your proficiency with Microsoft products.

Can I discontinue the course after making the online payment? 

You can ask for a refund if you choose not to continue with the course. However, a refund won't be started if the course lecture begins. 

Which countries in the Middle East have access to the AI-3016: Create Generative AI Applications in Azure AI Foundry Portal course? 

The AI-3016: Create Generative AI Applications in Azure AI Foundry Portal course will be offered in a few crucial regions in the Middle East, such as UAE, Qatar, and KSA.

Why Vinsys

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Seasoned Instructors
Seasoned Instructors
Official Vendor Partnerships
Official Vendor Partnerships
Authorized Courseware
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3,000+ Courses & 2,000+ Modules
3,000+ Courses & 2,000+ Modules
In Synch with Tech-advancements
In Synch with Tech-advancements
Customizable Blended Learning Options
Customizable Blended Learning Options

Reviews

Our organization was able to achieve a great level of satisfaction, and we are looking forward to further collaboration with Vinsys along with optimizing the performance of AI applications with the help of instructors who provided excellent structure in the courses, which gave a great balance of both theory and practice.
Salema Al KurmaProject Manager
The AI-3016 course at Vinsys was revolutionary for me; the outline was extensive and included projects that allowed for theoretical application in practice. The instructors always provided practical knowledge about the Azure AI Foundry tools. My skills in generative AI have improved, and I am more confident in preparing AI-powered applications now.
Kasif SunalhSystem Architect
I’m so glad I took the AI-3016 course with Vinsys! The training was captivating because I could go through it at my own pace while also participating in live sessions, which made learning even the most complex ideas simple. The structure of the course, which included the use of Azure AI Foundry, made it possible for me to learn how to build and implement AI applications. These are wonderful skills I’ve learned that I can use in my professional projects.
Dinesh Kumar SoniAI Project Engineer
In order to improve the team's performance in AI, we actually saw improvement from the course, and it is a great asset for our organization, so we partnered with Vinsys for the AI-3016 course to expand on the use cases of Generative AI. The course was accompanied by Azure AI Foundry, where our team learned how to build and deploy AI solutions. The training was insightful, to say the least.
Shadwali SharanSystems Integrator

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