Please find below information and registration details for each upcoming webinar. If you can’t make the dates, don’t worry, register anyway and we’ll send you the recording.

Title: No Data, No Success – How to Leverage AI & Microsoft Fabric for Smarter Business Decisions

Speakers: Lars Becker, Data Science 📊 and AI enthusiast 🤖 Specialised on fraud detection 🔍 exploring data at work 🖥️ exploring nature in free time 🚵‍♀️

Date and Time: Tuesday, July 29th at 11am CEST

Webinar Description / Agenda: 

In this session, you’ll learn how Microsoft Fabric can help overcome common challenges in modern data analysis – such as data silos, poor data quality, rising costs, and platform complexity.

We’ll walk through the key components of the unified Fabric platform and explore how it supports a successful AI-driven transformation, from data ingestion to real-time intelligence and visualization.

Using the NYC Taxi dataset as an example, we’ll demonstrate:

How to structure data using the medallion architecture (bronze, silver, gold)

How to perform machine learning in Jupyter notebooks

How to visualize insights using Power BI

This is a practical, end-to-end scenario showing how Microsoft Fabric helps organizations turn raw data into smart decisions.

Benefits of attending the webinar:

-Understand the most common data challenges and how to solve them with Microsoft Fabric

-Learn how to implement an end-to-end analytics pipeline using the medallion architecture

-See how AI models can enrich your data for smarter business outcomes

-Get inspired to start your own AI journey – hands-on, practical, and business-focused

-Watch a real-world demo using open data (NYC Taxi dataset)

Is there a demo?

Yes – one end-to-end demo:

Data ingestion and transformation using Microsoft Fabric tools

ML enrichment using Jupyter notebooks

Power BI dashboard showcasing insights and KPIs

Experience level:

Level 200 – Intermediate This session is suitable for professionals with some experience in data or business intelligence, looking to understand how to unify and scale their analytics with Microsoft Fabric.

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Title: Securing Azure OpenAI and Azure AI Services: Best Practices for the Field

Speakers: Tiago Costa, Cloud & AI Architect and Advisor, Microsoft MVP and MCT

Date and Time: Monday, 18th August 11am CEST

Webinar Description:

In today’s fast-paced world, AI and Generative AI solutions are rapidly expanding, providing unparalleled access to vast amounts of data. Ensuring the security of these solutions is paramount, as compromised applications can lead to significant data breaches and security risks. Are you still using Keys to access your Azure OpenAI / AI resources?

In this demo-dependent session, I will show you how to implement keyless authentication for Azure OpenAI and other Azure AI Services using RBAC, ensuring secure and seamless access.

Benefits of attending the webinar –

1. 1. Learn how to protect your Azure AI Services
   2. Implement keyless best practices
   3. Get 5 Key takeaways to help you protect your Azure AI Services

Is there a demo? YES

Experience level: 300

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Title: Powering Azure AI Agents with Foundry Knowledge

Speakers: Farzad Sunavala, AI @ Microsoft | Building AI Agents | Driving Innovation in AI Search

Date and Time: Monday, 18th August 4pm CEST

Webinar Description:

TBD

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Title: Azure AI in Action: Real-Life challenges solved using Azure AI services

Speakers: Negar Shahbaz, Microsoft Cloud Solution Architect – Delivery Architect Directory at Capgemini Sweden, Microsoft Cloud: Microsoft Azure AI, Azure IPaaS, Power Platform, Microsoft 365, MS Fabric

Date and Time: Tuesday, 19th August 11am CEST

Webinar Description:

Azure AI Services are evolving with new prebuilt and customizable APIs and with that, more opportunities for development of cutting-edge, intelligent applications come to surface. In this session we will go through some real-Life scenarios where different Azure AI services have come handy to design innovative solutions to cut time and manual effort for handling resource-intensive processes.

Benefits of attending the webinar –

Join this session to learn about:

-An overview of Azure AI Services and their common use cases

-Comparison of AI Services with OCR support (Optical Character Recognition)

-Cost factor behind different Azure AI Services

Experience level 

Level 200

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Title: How Azure Functions on ACA is good for AI Development

Speakers: Jonah Andersson, Inspiring tech with genuine heart • Developer • Microsoft MVP • Senior Cloud Engineer Architect • Microsoft Certified Trainer • MCT Community Lead• Intl Speaker • Author of Learning Microsoft Azure (O’Reilly)

Date and Time: Wednesday, 20th August 11am CEST

Webinar Description:

Do you want to enhance the way you build intelligent, cloud-native applications using .NET and AI technologies? In this session, you will find out and learn how combining Azure Functions with Azure Container Apps (ACA) will help your cloud development in building scalable, event-driven applications that are ideal for modern AI workloads on Microsoft Azure. Learn how the synergy of these two powerful Azure compute services supports microservices, serverless workflows, and APIs—while offering the flexibility of container hosting for cloud and AI engineering.

You’ll get a technical overview and live code demo showing how to develop .NET applications (and others) using Azure Functions hosted in Azure Container Apps. We’ll explore how this setup supports KEDA for event-driven scaling and Dapr for building resilient and other good features of Azure Functiosn and ACA that are useful in building distributed systems—making it a great fit for AI-powered cloud development

Benefits of attending the webinar –
Audience will learn how to build and develop cloud applications with its Azure Compute services with AI capabilities on Azure and in .NET

Is there a demo?
Yes, there will be a demo and example.

Experience level: 300

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Title: Monitoring and Troubleshooting Azure Applications with Azure Application Insights

Speakers: Joseph Guadagno, Senior Vice President, Real Time Technologies.  Microsoft MVP

Date and Time: Wednesday, 20th August 3pm CEST

Webinar Description / Agenda –

Monitoring and Troubleshooting Azure Applications with Azure Application Insights

Azure Application Insights is a service that enables you to collect, analyze, and act on telemetry data from your Azure and on-premises applications. In this session, you will learn how to use Azure Application Insights to:

• Set up alerts on performance and availability issues

• Track application usage and performance metrics
• Instrument your application code without redeployment
• Search traces and exception logs to diagnose errors
• Monitor mobile applications across different platforms
• Analyze request load, server performance counters, and response times across dependencies
• Define custom metrics and perform multi-dimensional analysis
• Correlate exceptions, mobile application crashes, and failed requests with events and traces

You will also see how Azure Application Insights integrates with other Azure Monitor services to provide a comprehensive monitoring solution for your applications. This session will help you improve your application quality, reliability, and user satisfaction with Azure Application Insights.

Benefits of attending the webinar –

You’ll  see how Azure Application Insights integrates with other Azure Monitor services to provide a comprehensive monitoring solution for your applications. This session will help you improve your application quality, reliability, and user satisfaction with Azure Application Insights.

Is there a demo?

There will be multiple “demos” of different Azure Monitor/Application Insights features.  There will also be 2 demos on adding Application Insights to a Visual Studio application, include custom telemetry methods

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Title: Drop the Bass with Embedding and Vectors in Azure AI Search

Speakers: Alan Smith, Cloud & AI Trainer, Mentor & Coach at Active Solution in Stockholm, Sweden. MVP & MCT.

Date and Time: Thursday, 21st August 11am CEST

Webinar Description / Agenda –

Azure AI search provides great capabilities for keyword search and AI skillsets, and now has the capability for text embedding and vector-based searches. Vector-based searches can be used in many other scenarios besides text. If you can embed, convert data items to numbers, you can search for similar items, and this includes images, sounds, video and even music.

In this demo-intensive session Alan will explore the concepts of embedding and nearest-neighbor search. The analysis and embedding of data will be explained, along with techniques to vectorize text, images and music. He will then demonstrate how vector-based indexes can be created in Azure AI Search using both the Azure portal and programmatically. Alan will show how text and image embedding can be leveraged, and then show the techniques used to create an index using the beat signatures in music. The search index can then be used to find similar sounding beat patterns in songs, allowing code to mix tracks seamlessly, creating a stunning AI-augmented audio experience.

Well, that’s the theory, can this work in practice? Join this session and learn about the power and versatility of vector-based searching.

Ya’ll ready for this?

Benefits of attending the webinar –

Gain an understanding of using embedding and vector search with text, images and audio.

Is there a demo?

I have a lot of demos in my sessions and tend to vary them from session to session.

Experience level – 300

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Title: Let’s Leave the Progress Report to the Agents

Speakers: Grímur Sæmundsson, Data & AI Lead at Crayon Reykjavík, MCT

Date and Time: Thursday, 21st August 3pm CEST

Webinar Description / Agenda

To demonstrate the power of AI agents, we will showcase a compact solution that automatically generates project progress reports based on data retrieved from Fabric.

The solution comprises Fabric data agents and a specialized composition agent working in tandem. We will examine the system architecture and explore each component in detail.

Benefits of attending the webinar

Attendees will gain an appreciation for the power of AI agents and learn how to create their own. The goal is to inspire new ideas about applying these concepts to design custom solutions that leverage AI and agents for data retrieval, interpretation, and presentation.

Is there a demo?

One demo. We will run the solution and examine the input and the output.

Experience level

300

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Title: Supercharge Microsoft Copilot With Azure AI Search: Build Declarative Agents Using TypeSpec

Speakers: Ejaz Hussain, Developer Architect, Microsoft MVP (M365)

Date and Time: Friday, August 22nd at 11 AM CEST

Webinar Description / Agenda: Discover how TypeSpec simplifies Microsoft Copilot-Azure AI Search integration. Unlike manual approaches, TypeSpec automatically generates production-ready OpenAPI specs and agent configurations from concise code. During the webinar, attendees will get hands-on with:

• Error reduction – Compile-time validation catches mismatches early
• Security automation – Built-in decorators handle Azure API key authentication
• Consistency assurance – Single source of truth prevents configuration drift
• Accelerated development – Generate specs 40% faster than hand-coding YAML

We will also show live demo of Azure AI search implementation using TypeSpec and explain why TypeSpec is becoming the gold standard for enterprise Copilot integrations.

Benefits of attending the webinar: Attendees will learn how to significantly accelerate their Copilot-Azure AI Search integration, reduce errors, enhance security, and maintain consistency in their configurations, ultimately leading to more robust and efficient solutions.

Is there a demo? Yes, In the demo we will cover the following topics

1. Azure AI search integration: We will showcase how to implement a Azure AI Search integration with Copilot Declarative Agent.
2. TypeSpec in action: We will highlight the benefits of using TypeSpec for generating OpenAPI specs and agent configurations.

Experience level: Level 300

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Title: Prompt Flow Evaluation in Practice: Metrics, Mistakes & Meaningful Results

Speakers:

Katerina Chernevskaya, Software Architect, BizApps MVP, MCT

Artem Chernevskiy, Head of AI at SelfFull, Azure AI MVP, MCT

Date and Time: Friday, 22nd August 3pm CEST

Webinar Description / Agenda:

How do you know your LLM app is truly working – not just responding? In this session, you’ll learn how to evaluate your Prompt Flows to move beyond intuition and into measurable performance.
We’ll cover:

– the built-in evaluation pipeline and how it works under the hood,

– available metrics such as Groundedness, Relevance, Fluency, and how to choose the right ones for your use case,

– building and customizing your evaluation configuration,

– interpreting evaluation results to diagnose issues and drive improvements,

– and common mistakes to avoid when integrating evaluation into your workflow.

Whether you’re fine-tuning prompts or managing full-blown LLM workflows, this session will equip you with practical techniques to ensure your solutions are accurate, consistent, and reliable.

Benefits of attending the webinar –

– Understand the value of evaluation in LLM workflows and why metrics matter beyond intuition.

– Learn to apply built-in metrics to assess model output quality.

– Master the setup of evaluation pipelines using Prompt Flow’s configuration tools.

– Gain confidence in interpreting results to guide prompt and flow improvements.

– Avoid common mistakes and adopt proven practices for integrating evaluation into your development cycle.

Is there a demo?

Yes – there will be one comprehensive demo during the webinar. This single walkthrough will cover all key aspects of the evaluation process in Prompt Flow, including:

– How to configure an evaluation

– How to select appropriate metrics for your use case

– How to interpret evaluation results and use them to improve prompt flow quality

The demo is designed to provide a full, end-to-end view of how evaluation fits into real-world Prompt Flow scenarios.

Experience level (i.e., Level 100, level 200, level 300, level 400) – 300

This session is intended for participants with hands-on experience building LLM flows using Prompt Flow or similar tools. Attendees should be comfortable with LLM concepts, and ready to apply evaluation strategies to improve the quality and reliability of their AI workflows.

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