Build Intelligent Apps on Azure

Microsoft Developer · Intermediate ·🛠️ AI Tools & Apps ·1y ago

Key Takeaways

The video discusses building intelligent apps with AI on Azure, covering core characteristics, latest trends, and challenges, with a focus on Azure's learning resources and certifications to address the skill gap in AI development.

Full Transcript

join us as we dive into the world of building intelligent apps with AI and highlight learning resources that can help you develop the technical skills to bring these Solutions [Music] life Welcome Back to the azural show I'm your host Ain Stark and I'm joined here today by my colleague Joshua Wayne from Azure marketing today we're gonna be talking about building intelligent apps I know we've covered this topic beforehand but that was building apps with python this time it's going to be all about applications and unlocking the value of AI with intelligent apps Joshua welcome to the show thank you for having me I'm glad to have you here so let's start with some definitions when you say intelligent apps what exactly do you mean by that there are three characteristics that define intelligent app number one is data this is where intelligence come from this can be your internal data sets for instance your customer telemetries or your financials it can also be external signals this will be weather data can be International Tre FL number two is a I you can get AI models through the API from external sources or you build your own AI models and AI models are basically machines that help you analyze learn extract and surface features from the data you have and number three is you package Ai and data into a user Centric format which is an application got it and in this evolving space of intelligent apps powered by AI what are we seeing today with our customers what we are increasingly seeing is as Enterprise adop AI when they invest into AI typically they go to market when they ship something that's through the app layer and this is incredibly exciting because we are now investing even more into the space of AI plus apps but on the other hand we are embracing a multitude of new challenges I mean I can only imagine but before we jump into all those challenges what are some of the most important use cases that that you're actually seeing for the AI apps there are definitely some old fashion machine learning use cases where you're seeing people using AI to do for instance personalization uh content intelligence they are also the unsupervised machine learning for instance anomaly detections but even more so we are seeing customers coming to us work with aure to build their own co-pilots this is where they can really maximize value front a large language model within their environment now that's super exciting I know co-pilot has been all the buzz recently but now let's get into those challenges that customers are facing how does Azure go and support customers in these situations very good question with we actually right now squarely focused on two areas that we know are customer pain points number one is organizations are realizing there's a gap in skilled AI developers number two being We Believe critically modernization is an element that cannot be skipped you need to modernize your existing data and app estate before you can truly and concretely unlock value from the definitely agree I know that we've been hearing a lot of that recently but I do want to focus on the number one um a challenge that you had mentioned around skilled workers what is AER doing if anything to address this three things precisely number one being how we organize learning content there is likely an ocean of learning content about AI how we can organize it in such a way that the Learners find it interesting and we're willing to use it and they can actually find it when they need it and we also want to make sure there are learning content throughout their Journey with Azure um the second bit is we want to make sure that the learning experience good we we know customers are entrusting hundreds of hours with us learning about our services we want to make sure that those learning experiences interactive immersive and their options for them to connect with each other uh during their learning process and lastly is to make sure that the content is refreshed and that the certifications make sense to and speaking of aure Skilling certifications loyal viewers who know that that has been all the ra recently with all of the new plans on learn that we've been talking about in previous episodes but for those who are looking to sharpen their skills and start building AI apps is there something for them that exists with plans on learn absolutely so I bring three uh plans on learn with me today these represent the latest and the best curation of learning content on the topic of AI apps so number one is a uh plan designed for technical managers that gives you an overview of the portfolio of services you should consider and the best practi is to get started for your team number two is for developers especially developers who are starting their Journey building apps and lastly we have a more advanced version of that uh also for developers who are truly going to use the most latest AI services on Azure and then make their apps intelligent perfect thank you so much for coming on the show today and sharing all these incredible resources super fun joining today and you can find all the links to everything that we discussed in the episode description below if you have any comments or thoughts please leave them down below as well we love to hear from you if you found this episode helpful be sure to like And subscribe so you don't miss any of our future episodes thanks for watching the Azure sinil show [Music]

Original Description

In this episode of the Azure Essentials show, host Aaron Stark is joined by Joshua Huang from Azure Marketing for a look into the fascinating world of intelligent apps with AI. They discuss the core characteristics of intelligent apps, the latest trends in AI-powered applications, and the challenges enterprises face in adopting AI. Joshua highlights three new Plans on Microsoft Learn available to help developers and technical managers enhance their skills and effectively leverage AI in their projects. Tune in to gain insights and practical knowledge on maximizing the value of AI in your applications. Resources • Modernize apps for AI-readiness with Azure apps platform and data solutions https://aka.ms/AAI_TDMApps_Plan • Build AI apps with Azure Services and best practices https://aka.ms/ADAI_DevStartPlan • Develop, replatform, and improve AI apps with advanced Azure AI services https://aka.ms/ADAI_DevsAdvPlan • Explore essential resources! https://azure.com/AzureEssentials Related episodes • Build intelligent apps with Python https://aka.ms/azenable/162 • Watch more episodes of the Azure Essentials Show https://aka.ms/AzureEssentialsShow Connect • Aaron Stark https://www.linkedin.com/in/aaron-kiyaani-mcclary-b71009106/ • Joshua Huang https://www.linkedin.com/in/joshjfh/ Chapters 0:00 Introduction 0:41 Intelligent aps defined 1:53 Important use cases 2:34 Pain points 3:07 Skills gap 4:05 Three skilling plans 4:51 Links to resources
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The video discusses building intelligent apps with AI on Azure, covering core characteristics, latest trends, and challenges, with a focus on Azure's learning resources and certifications to address the skill gap in AI development. Viewers can learn how to build intelligent apps, unlock value from AI-powered applications, and address challenges in AI development. The video also highlights Azure's plans on learn, which provide curated learning content for technical managers, developers, and advan

Key Takeaways
  1. Define intelligent apps and their core characteristics
  2. Identify latest trends and challenges in AI-powered applications
  3. Explore Azure's learning resources and certifications
  4. Address the skill gap in AI development
  5. Build intelligent apps with AI on Azure
  6. Unlock value from AI-powered applications
💡 Azure's learning resources and certifications can help address the skill gap in AI development and provide a comprehensive approach to building intelligent apps with AI.

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Chapters (7)

Introduction
0:41 Intelligent aps defined
1:53 Important use cases
2:34 Pain points
3:07 Skills gap
4:05 Three skilling plans
4:51 Links to resources
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