Piotr Wachulec
Co-founder @CloudHackers | Founder @TitansForge | Senior Azure Cloud Architect | Microsoft MVP & MCT
Warsaw, Poland
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Microsoft MVP, Microsoft Certified Trainer, and Azure Solutions Architect with 13 active Azure certifications spanning cloud architecture, DevOps, and AI. Currently leads Global Azure Poland and delivers technical presentations at major conferences including Warsaw IT Days and 4Developers.
Founder of TitansForge and co-founder of CloudHackers, specializing in enterprise Azure architectures, Infrastructure as Code, and AI-ready platform design. Delivers corporate trainings and workshops, transforming complex technical concepts into practical business solutions through efficient architectural approaches and automated deployments.
Regularly conducts Infrastructure as Code workshops and architectural design sessions across Poland, focusing on building resilient, cost-effective Azure solutions. Bridges the gap between technical and business worlds by helping technical teams understand business impact and explaining complex cloud concepts to business stakeholders in accessible terms.
Active Azure community leader and technical speaker, consistently delivering conference talks and workshops focused on practical cloud architecture and infrastructure automation, with emphasis on driving business value through technical excellence.
Area of Expertise
Topics
Workshops: Bicep - from zero to heropl
W 4 godziny przejdziemy przez stworzenie podstawowych szablonów, budowanie automatyzacji CI/CD, modularyzację, budowanie bardziej złożonych infrastruktur oraz poznamy kilka przydatnych na co dzień narzędzi podczas pracy z Bicep i IaC.
Jupyter Notebook for Azure Managementen
Jupyter Notebook is a tool well-known in data analysis and machine learning. However, it can also be equally well used for other types of applications, including those related to managing resources in Azure. In this presentation, you will learn about the current possibilities of using Jupyter Notebooks for non-data-related purposes and how to configure the environment to seamlessly interact with Azure from within Jupyter Notebooks.
How do you improve your environment for infrastructure development?en
Do you want to be more efficient during infrastructure development? For sure, you want. Your company wants this too. How do you become the '10x' infra guy? This speech has two complementary parts - the 'soft' one about how the non-technical aspects can impact your and your team's efficiency, and later, I will show you some snacks about how you can improve your local setup to be faster. And this will be not only AI-related stuff!
When Cloud Architect needs Software Developeren
A Cloud Architect is a person who... Who exactly is this? Here's the question! As Cloud Architects, we often work on automating buildings regarding specific issues, such as deploying landing zones and so on. Those automation are becoming larger and larger, and... we are lost because they started evolving like any other programming platform. We will try to answer the titular question: "When does a Cloud Architect need a programmer?" to ensure our automation is easy to manage and stable. And all of this based on Azure, however, the practices will be universal.
Why do you must take care about your personal brand (painless)? en
Of course, you don't have to. But today, it becomes pointless if you are not doing that. You are robbing yourself of excellent chances to participate in exciting projects, earn more money, and work however you want, not how somebody says you must work. So how to do that without so much work? I will tell you.
Delivering infrastructure with Bicepen
In this workshop, you will set your local environment for infrastructure creation with Bicep and then prepare infrastructure from the absolute basics to deploy simple but, ultimately, multi-environmental and multi-regional infrastructure. I will share the practices I created while delivering plenty of automation and infrastructure for different projects which makes the whole process easier and faster.
Jak mogę hostować swoją aplikację w Azure w 2023?pl
Chmura to ciągły rozwój. Codziennie wpadają jakieś nowe „ficzery”, głowa może zaboleć. Dlatego opowiem Ci, w jaki sposób możesz wykorzystać Azure do uruchomienia swojej aplikacji i zaserwowania jej użytkownikom. Przejdziemy przez dostępne opcje uruchamiania aplikacji, powiem Ci kiedy której możesz używać oraz co może Ci „urwać rękę”, a conajmniej zaboleć Twój portfel. Albo Twojego klienta.
Panel dyskusyjny: Azure Datacenters and Poland Centralpl
W trakcie panelu dyskusyjnego porozmawiamy o datacentrach napędzających Azure oraz oczywiście o nowym datacenter mieszczącym się w Polsce - jak jest skonstruowane, na co trzeba uważać i ile to wszystko kosztuje. Zastanowimy się również z perspektywy architektów, kiedy powinniśmy proponować naszym klientom użycie właśnie tego datacenter.
I w trakcie panelu będzie zapowiadana wcześniej niespodzianka - zwiększcie limity na subskrypcjach i spróbujemy dociążyć nowy region!
Building Enterprise AI Assistants: Architecting Solutions with Azure OpenAI and RAGenpl
Want to create an AI assistant that truly understands your business? Most available solutions are either closed black boxes or simple chatbots without real understanding of company context. This session shows you how to architect an enterprise AI assistant that effectively leverages your organization's internal knowledge.
We'll explore:
- Reference architecture combining Azure OpenAI with enterprise data sources
- Components and services required for AI assistants
- Integration approaches with internal data sources
- Retrieval-Augmented Generation basics
- Live demo of an AI assistant accessing company documentation
You'll leave with:
- Clear understanding of AI assistant architecture
- Knowledge of required Azure services and their roles
- Strategies for integrating enterprise data
- Working demo example to reference
- Foundation for building your own AI assistant solution
This session combines architectural principles with hands-on demonstrations, making it valuable for architects and developers building enterprise AI solutions. Whether you're evaluating AI assistants or starting implementation, you'll gain practical knowledge to guide your project.
From Theory to Practice: Building Azure AI Landing Zones for Enterprise Scaleenpl
Is your organization prepared for enterprise-scale AI deployment? Most aren't – and early infrastructure decisions significantly impact future AI initiatives. This session provides a comprehensive guide to building Azure AI Landing Zones based on Microsoft's proven frameworks and best practices.
We'll dive deep into:
- Essential components of an AI-ready landing zone based on Microsoft's Cloud Adoption Framework
- Detailed exploration of Azure AI Foundry and its enterprise integration capabilities
- Infrastructure as Code approaches using Bicep for consistent deployments
- Reference architecture patterns for security, governance, and scalability
- Practical considerations for implementing enterprise AI infrastructure
You'll leave with:
- A clear understanding of AI Landing Zone architecture principles
- Implementation guidelines based on Microsoft's recommended practices
- Key design considerations for your AI infrastructure
- Strategic insights for planning your AI infrastructure journey
This session bridges theoretical frameworks with practical implementation details, making it valuable for both architects and technical decision-makers. Whether you're planning your AI infrastructure or evaluating your current approach, you'll gain valuable insights to guide your decisions.
From Documents to Insights: Analysis at Scale with Document Intelligence, AI Search, and OpenAIenpl
Is your organization drowning in documents? Every day, companies waste countless hours manually processing documents while valuable business insights remain locked inside. This session demonstrates how to build an intelligent document processing system that transforms PDFs into actionable insights using Azure's AI capabilities.
We'll explore:
- End-to-end architecture combining Azure Document Intelligence, Azure AI Search, and Azure OpenAI
- Implementation patterns for different document types and use cases
- Integration strategies between Azure AI services
- Pricing considerations for each service component
- Live demo showing document processing in action
You'll leave with:
- Practical architectural patterns for document processing systems
- Integration techniques for Azure AI services
- Implementation strategies for various document types
- Understanding of service pricing and components
- Working knowledge of a real implementation approach
This session combines architectural insights with hands-on demonstrations, making it valuable for developers and architects building document processing solutions. Whether you're starting a new project or enhancing existing systems, you'll gain practical knowledge to accelerate your implementation.
Piotr Wachulec
Co-founder @CloudHackers | Founder @TitansForge | Senior Azure Cloud Architect | Microsoft MVP & MCT
Warsaw, Poland
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