AI & ML Academy Vignettes¶
Vignette Sessions¶
In our AI & ML Academy Vignettes, we extend the content of the original series by including modules on current topics related to artificial intelligence and machine learning.
Join Ana Lopez Moreno as they share the process of building a comprehensive solution using the Azure Design Blueprint for Advanced RAG 2.0. Learn about the improvements in RAG 2.0, addressing issues and limitations of RAG 1.0, and how to build a comprehensive filterable index, query rewrite with context, and responsible AI by design. Ana will guide you through the architecture that enables intelligent classification, efficient routing, and collaborative issue resolution. Explore how to leverage Microsoft's key Azure services to ensure your AI solutions are scalable, adaptable, and capable of delivering personalized customer support.
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Join us for an insightful webinar where we unveil the GenAIOps playbook, a comprehensive guide to deploying your Gen AI applications into production. This playbook is designed to be your ultimate resource for mastering GenAIOps, providing a detailed workflow to ensure seamless production deployments. Our series will cover four critical phases Prototype, Development, Experimentation/Testing, and Operations. In the second part of this series, we will dive into the Experimentation & Production phases, featuring a developer showcase to highlight practical applications and best practices.
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Join us for an insightful webinar where we unveil the GenAIOps playbook, a comprehensive guide to deploying your Gen AI applications into production. This playbook is designed to be your ultimate resource for mastering GenAIOps, providing a detailed workflow to ensure seamless production deployments. Our series will cover four critical phases Prototype, Development, Experimentation/Testing, and Operations. In the first part of this series, we will dive into the Prototype and Development phases, featuring a developer showcase to highlight practical applications and best practices.
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Join Walter Novoa as they share the process of building a complete AI solution using the Azure Design Blueprint for Agentic Flows. Learn about the concept of Agentic Flows, where multiple AI agents work together to handle complex, distributed workflows. Walter will guide you through the architecture that enables intelligent classification, efficient routing, and collaborative issue resolution. Explore how to leverage Microsoft's key Azure services to ensure your AI solutions are scalable, adaptable, and capable of delivering personalized customer support.
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Join Alexis Joseph as she guides you through the process of building a comprehensive AI solution using the Azure Blueprint Series Model Catalogue Benchmarking. This video delves into a fascinating use case from Contoso Animal Sanctuary, a non-profit organization dedicated to protecting endangered animals. Discover how to leverage Azure Blob Storage, Azure AI Search, and Azure OpenAI to create a robust system that automatically reviews photos and videos, generates daily reports summarizing animal activities, and alerts caretakers of any anomalies. You'll learn how to utilize the Azure Model Catalog to identify the best models for your specific needs, based on performance metrics and other key factors. Additionally, you'll explore how model benchmarking can help you make informed decisions and optimize your AI solutions for better results. Learn how to utilize Microsoft's key Azure services to ensure your AI solutions are efficient, effective, and scalable.
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Join Anahita Afshari as she shares the process of building a complete AI solution using a sample architecture for a simple AI application. This video covers a use case from Contoso Parks and Recreation, showcasing how to utilize Azure SQL and Azure App Service in collaboration with AI to create a simple chatbot. Learn about how to build a comprehensive AI solution with Microsoft's key Azure data, app, and AI services that ensure your solutions are well-rounded, useful, and secure.
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Join Devanshi Thakar and Wayne Smith as they dive into the essentials of building solutions with Responsible AI (RAI) in Azure. This video covers a use case from Contoso Health, showcasing how to enhance patient engagement with an AI-powered support system. Learn about Microsoft's ethical AI principles and key Azure services that ensure your solutions are fair, reliable & safe, secure, inclusive, transparent, and accountable.
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Join Melody Yin as she dives into the foundational information you need to effectively build out your solutions with Prompt Engineering in Azure. This video will guide you through the development lifecycle, providing valuable insights and practical tips to enhance your Azure projects. Whether you're a beginner or an experienced developer, this session will equip you with the knowledge to optimize your prompt engineering skills and leverage Azure tools.
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In this webinar, we'll talk about the extensive Generative AI model catalog and how to find the best model for your application. There are a multitude of models available to developers and we'll show you how to find the best one through benchmarks and model evaluation. We'll also showcase the Phi-3 models to provide practical insights to help you build Generative AI applications.
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In this webinar, Wayne Smith and Jason Virtue dive into the critical aspects of deploying Generative AI applications with a focus on Responsible AI and Security. They'll cover the state of AI, Responsible AI principles, tools, security risks and mitigation strategies. They'll also highlight the collaborative efforts required between security and governance teams to ensure ethical use and mitigate security threats throughout the software development lifecycle (SDL). The session aims to equip organizations with the knowledge and tools necessary to transition their Generative AI applications into production securely and responsibly.
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In this session, we explore the potential use cases for generative AI across different industries. We'll dive into practical applications, including content creation, automated processes, and customer interaction, demonstrating the versatility and power of generative AI technology.
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Today's Generative Entrepreneur webinar series will demonstrate the different Microsoft Copilots in our ecosystem. We'll share all Copilots and the AI journey to adopting them. At the end, we'll showcase Copilots for M365, Copilot Studio, and Azure AI Studio. We hope to help you turn AI magic into reality. Presented by Jason Virtue.
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This Generative Entrepreneur webinar series will cover the generative AI fundamentals. This talk will explore how large language models enable AI applications to generate original content based on natural language input and assist humans in creative tasks. We'll discuss the definition, catalog of models, Azure AI tools, Generative AI journey, and learning resources. We hope to help you turn AI Magic into reality. Presented by Jason Virtue.
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Christian Thilmany, Microsoft Partner Solution Architect, provides technical decision makers with the necessary basic skills to identify key elements in AI projects. This session outlines 10 steps to uncovering opportunities and assessing costs in AI projects, focusing on determining the value of a partner's Generative AI solution by first understanding factors such as use case, category, prompts, data, and usage.
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Welcome to our webinar on Retrieval Augmented Generation (RAG)! in this session, we cover the RAG architecture and solution implementation guidance. This webinar will help you understand the benefits of using RAG in your solutions.
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Join Sowmyan Soman to explore the LangChain Framework and Hugging Face LLM classes, with a code-first demo!
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Join Anahita Afshari to learn more about load balancing in both OpenAI and Azure API Management -- a strategic approach to ensure scalable and efficient application performance under increasing traffic demands.
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Join us for a session tailored for developers, data scientists, and AI practitioners aiming to harness the potential of Azure Machine Learning Prompt Flow. This session is designed to provide you with a comprehensive understanding of how Prompt Flow can streamline your end-to-end LLM development lifecycle.
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Learn conceptual and technical approaches to implementing LLM applications and handling data responsibly, whether you're using OpenAI or OSS models. In this session, Amanda Wong addresses how to evaluate your LLM application while protecting sensitive information using tools such as Azure AI Content Safety and the Presidio De-identification Toolbox. We will also cover best practices for data security in Azure, including encryption and access control.
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In this webinar, Mike Richter shows Microsoft Partners how to set up and run a Business Discovery Workshop. This session describes the process from qualifying the customer to preparing for and delivering the workshop. Partners will learn how to run an effective session, capture key insights, and format the output. The webinar also details how the Business Discovery Workshop fits into the Microsoft Customer Engagement Methodology (MCEM) and accelerates opportunities.
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We have recently introduced the ability to fine-tune GPT models in Azure AI, and many open-source models are also fine-tunable. In this session, Lucy Rak discusses the benefits that fine-tuning brings, the drawbacks of it, and when you should consider using it. We will also dive into the fine-tuning workflow and the economics of fine-tuning.
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Welcome to our webinar on prompt engineering with Azure OpenAI! In this session, Melody Yin introduces prompt engineering techniques including chunking, chaining, chain-of-thought, and recommended practices for iterative prompting. Whether you're an experienced data scientist or just getting started with AI, this webinar is a great opportunity to learn about tips and tricks in prompt engineering and how they can help you achieve your goals.
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Tim Walton presents an overview of Microsoft’s Azure Innovate offer, covering both Partner-led and Field-led approaches. This session provides insights into best practices for technical engagement activities, helping partners and organizations effectively leverage Azure Innovate for AI and cloud solutions.
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Join Pardeep Singla for a data science deep dive into Microsoft's newly released analytics platform -- Fabric. Discover how Fabric integrates with Azure ML and get hands-on with demos!
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Join Walter Novoa for an exciting session on Function Calling, where you’ll learn how to create custom functions that enable AI to excel at tasks and provide more insightful answers. Plus, get ready for a hands-on demo!
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What can Semantic Kernel do for you? Join Mike Richter for an in-depth walkthrough of this amazing tool for your Generative AI applications. Concept demystify and hands-on live demos are included.
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Curious about how prompt injection works in LLMs and Azure OpenAI? Do you have concerns with Generative AI security? What are the security challenges facing Generative AI and how can we mitigate them? Join Caroline Matthews to learn more about LLMs, Azure OpenAI, and the mitigation strategies for security challenges!
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Join Melody Yin for an in-depth walkthrough and demo of Azure Document Intelligence (former known as Form Recognizer). Learn how to automate content extraction from various forms and documents!
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Join Devanshi Thakar for a trip to the Azure Content Safety service and learn how to best guard your AI applications. This video will guide you through real-world examples where we address hate, violent, harmful, and sexual content – in different scenarios – with the Azure Content Safety tool.
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Curious about the newest capabilities in Azure AI Video Indexer? Join Nikki Conley for an in-depth session, complete with a live demo! Experiment with the powerful features that empower you to index and analyze your videos using AI-driven insights!
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Learn about Azure AI Search with Alexis Joseph! Explore how Vector Search and Semantic Ranker enhances your search efficiency., with code-first and Azure portal demos!
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Are you interested in Azure AI Vision and how it works? Join Juan Llovet de Casso and gain insights into the Azure AI Vision portal and Responsible AI for Vision. Juan will also guide you through a demo on how to train your own customized vision model using manual image labeling.
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If you’re curious about Copilot, join David Giard as he unveils the capabilities of GitHub Copilot, M365 Copilot, and Copilot Studio!
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Learn about the most popular AI tooling with Melody Yin. Dive into an Azure AI Studio and Copilot Studio service comparison and understand when-to-use-which. Also, get ready for in-depth demos into both tools!
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What are the approaches to harness the popular Azure OpenAI Service for building enterprise-grade applications on AWS, GCP, or alternative cloud platforms? Typical business use cases include content generation, summarization, code generation, information discovery and knowledge mining.
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Adastra focuses on data, analytics, and AI solution development. They'll walk us through their portfolio and show us two unique AI based solutions. The first, Intelligent Search Bot Platform, is an OpenAI powered solution that enhances traditional chat bot experiences by leveraging organizational data with ChatGPT's knowledge repository. The second, Lucid Data Hub, rapidly accelerates data engineering with generative AI. Lucid Data Hub will analyze source data, build out the data pipelines and analytical models into a lakehouse medallion architecture, ready for reporting in Power BI.
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OpenAI has immense potential in the retail and consumer goods industries, offering opportunities across a wide range of use cases. By leveraging advanced machine learning and natural language processing capabilities, OpenAI can help these organizations make better decisions, automate processes, and reduce costs. The technology can identify patterns and trends that humans may miss, enabling retailers and consumer goods companies to gain valuable insights and stay ahead of the curve. OpenAI can add value in various use cases such as personalized product recommendations, chatbots for customer service, and optimizing promotions and pricing strategies. The technology helps these organizations stay competitive by improving operations, optimizing processes, and enhancing the overall customer experience. This video explores the potential of OpenAI in retail and consumer goods, highlighting how this technology can drive innovation in the industry.
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OpenAI has immense potential in manufacturing and mobility, leveraging machine learning and natural language processing to improve decision-making, automate processes, and reduce costs. OpenAI can identify patterns and trends to help gain valuable insights and stay ahead of the curve, with use cases such as predictive maintenance, quality control, and supply chain optimization. This technology can also improve safety and efficiency of transportation systems and enable the development of autonomous vehicles. This video explores the potential of OpenAI in manufacturing and mobility, highlighting how this technology can drive innovation in the industry. As these industries continue to evolve and adopt new technologies, OpenAI offers a powerful tool for companies looking to stay competitive and meet the demands of the modern marketplace.
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Presented by Andy Huang, Cloud Solution Architect @ Microsoft. GitHub Copilot is an AI-powered tool that revolutionizes the way developers code. It uses GPT-based AI capabilities to understand natural language and generate code suggestions in real-time. This 12-minute video provides an overview of GitHub Copilot's capabilities, including how it can be used to accelerate your development workflow and enable more individuals to create innovative solutions with ease. By the end of this video you will have learned the capabilities of GitHub Copilot, as well as some insights to different ways you can harness the power of Copilot.
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Presented by Suvidha Shashikumar, Sr. Cloud Solution Architect @ Microsoft. Microsoft Power Platform has made significant strides in democratizing development experiences through AI-powered tools since 2021. The platform's latest features, including GPT-based AI capabilities and copilot, enable more individuals to create innovative solutions with natural language, thus empowering citizen developers and end-users. This 15-minute video provides an overview of all AI capabilities in the platform to date, demonstrating how individuals can benefit from them.
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