2026 Alteryx Generative & Agentic AI Masterclass: five immersive sessions to take action
Why was this series launched?Why Alteryx—and why this choice has defined us since 2018 Our presence in three formats
Generative AI is no longer an abstract topic for exploration. It is already present in most analytics functions: data preparation, classification, information extraction from unstructured documents, creation of business assistants, and automated quality control.
But between "understanding the concept" and "integrating an LLM into a production-ready Alteryx workflow," there is an operational gap that few resources manage to bridge. Too many seminars stay at the slide-deck level. Too many product demos leave participants without a clear idea of where to start back at the office.
The Masterclass was designed to bridge this gap. A hands-on day in a small group with experts who use the platform right in front of the participants. The intended result: everyone leaves with a practical understanding of the method and, most importantly, a list of specific use cases to pursue within their organization.
The "so what" for your organization
If you are in 2026 with analytics teams using Alteryx daily, the real question is no longer "should we be interested in generative AI?". It is "how do we structure our teams' upskilling so it translates into operational workflows by the end of the year?". The Masterclass is one of the most effective accelerators for laying that first stone.
The day's agendaThe partnership in numbersOur takeaways — four strong signals
The format is structured around an alternating flow of simplification → hands-on → use cases → ideation. This allows participants with diverse backgrounds to make progress throughout the day.
Morning session — fundamentals and prompting
- - 9:00 AM – 9:30 AM Welcome and introduction — day's objectives, speaker introductions
- - 9:30 AM – 10:15 AM Understanding Generative AI for analytics — differences between generative AI and machine learning, the logic behind large language models, overview of use cases
- - 10:15 AM – 11:00 AM Interactive workshop: getting started with prompting — best practices, prompt chaining, the role of context
- - 11:00 AM – 11:30 AM Coffee break
- - 11:30 AM – 12:30 PM Demo: integrating AI into an Alteryx Designer workflow — integrating OpenAI, Mistral AI, Google Gemini, or a private LLM, extracting text from unstructured fields, email classification, and summary generation
- - 12:30 PM – 1:45 PM Lunch and networking
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Afternoon — use cases and workshop
- - 1:45 PM – 2:45 PM Generative AI in action: business use cases — practical demonstrations based on client and internal projects: automated data quality improvement, reference data correction, fraud analysis, and creating a sales pipeline analysis assistant
- - 2:45 PM – 3:15 PM Guided workshop: build your own GenAI workflow
- - 3:15 PM – 3:30 PM Break
- - 3:30 PM – 4:30 PM Ideation session — each participant brainstorms high-value, quickly implementable use cases, followed by a group sharing session
- - 4:30 PM – 5:00 PM Wrap-up and next steps
The "so what"
What makes this format effective is the ideation session at the end of the day. After covering prompting, LLM integrations, and client use cases, participants have exactly the mental building blocks needed to frame their own project ideas. This final hour is often the one that produces the most operational value—because it is contextualized to each participant's real-world problems.
The 5 sessions for 2026Our 5-pillar Alteryx deployment methodologyOur conviction
- There are five dates throughout the year. Each session follows the same schedule, allowing you to choose the date that best fits your calendar: Pillar 1 — Technical design. Architecture choices, Alteryx Server sizing, IT integration, workflow governance, security, and access management. The least glamorous phase, but the one that determines everything else.
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- February 3, 2026 (session held)
- March 31, 2026 (session held)
- July 7, 2026 (session held)
- September 22, 2026
- December 1, 2026
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- Registration is handled directly on the dedicated Alteryx page. The number of spots is intentionally limited to maintain the quality of discussions and ensure instructor availability during the hands-on workshops.
Who the Masterclass is forPrime Elevate: Alteryx training at scaleThank you
- The day is designed for three profiles, each of whom benefits from this format in their own way: Alteryx Designer Path — 9 modules of 2 to 2.5 hours: Getting Started, Data Management, Transformation, Macros, Analytic Apps, Automated Reporting, Best Practices, Alteryx & Power BI, Alteryx Gallery. Learn more
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- - Business analysts, data analysts, and data scientists- Business analysts, data analysts, and data scientists wanting to explore the practical possibilities of Generative AI for their analytics workflows
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- - Alteryx Designer users- Alteryx Designer users looking for advanced optimization — to discover how Generative AI complements and enhances what they are already doing with the platform
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- - Business decision-makers- Business decision-makers involved in digital transformation—to get a concrete sense of what Generative AI can bring to their teams, with the right scale of impact.
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What you walk away with—five concrete benefitsA flagship case study: 5 years at a major French bank
By the end of the day, every participant leaves with five things they didn't have in the morning: By the end of the day, every participant will walk away with five things they didn't have that morning:
1. A solid foundation in Generative AI1. A solid grasp of Generative AI fundamentals
The difference between Generative AI and traditional Machine Learning, what an LLM is, how RAG and agent mechanisms work, and what distinguishes the major models available on the market.
The difference between Generative AI and traditional Machine Learning, what an LLM is, how RAG and agent mechanisms work, and what distinguishes the major models currently on the market.
2. Concrete use cases applicable to your role2. Concrete use cases applicable to your role
Finance, HR, compliance, CSR, fraud, Data Quality—the demonstrations cover a broad spectrum and resonate with a wide audience.
Finance, HR, compliance, CSR, fraud, data quality—our demonstrations cover a broad spectrum and are relevant to a wide range of professionals.
3. The ability to build an AI workflow from unstructured data3. The ability to build an AI workflow from unstructured data
Emails, free-form text, PDF documents, terms and conditions, internal notes. This is where the real value of Generative AI in business lies—not in clean spreadsheets.
Emails, free text, PDF documents, terms and conditions, internal memos. This is where the real value of Generative AI lies for businesses—not just in clean spreadsheets.
4. A network of peers and experts4. A network of peers and experts
A select community of experts and peers in a collaborative atmosphere. Many of the projects we support post-Masterclass start with participants reconnecting—not through cold outreach.
A select community of experts and peers in a collaborative atmosphere. Many of the projects we support post-Masterclass begin with participants reconnecting with one another—not through cold outreach.
5. Project ideas and the keys to implementing them5. Project ideas and the keys to implementation
The ideation session consistently produces a list of concrete opportunities, prioritized by impact and feasibility—ready to be used in your organization the very next morning.
The ideation session consistently produces a list of concrete opportunities, prioritized by impact and feasibility—ready for you to use in your organization the very next morning.
The "so what"The "so what"
The true measure of quality for an event like this isn't how satisfied people are in the moment. It’s the percentage of participants who actually launch an AI project within their organization within 12 months. For the first 2026 sessions, this rate is significantly higher than what we see in traditional seminars—which validates our choice of an immersive, hands-on format over a top-down approach.
The true measure of an event's quality isn't how satisfied attendees feel in the moment. It’s the percentage of participants who actually launch an AI project within their organization over the next 12 months. For our 2026 sessions, this rate is significantly higher than what we see in traditional seminars—validating our choice of an immersive, hands-on format over a lecture-based one.
Why Alteryx × Prime AnalyticsOur commitment to the Alteryx ecosystem
- The Masterclass is co-organized by Alteryx and Prime Analytics. This combination is not just for show—it is designed to deliver exactly what the day requires. Alteryx On Tour France 2026 — Silver Partner, exhibitor, speaker. Cellnex Telecom case study on stage. Read the article
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- Alteryx provides the platform and its product depth: Alteryx provides the platform and its product depth:
- - An AI-native platform with capabilities ranging from data preparation to augmented analytics
- - Native and custom connectors to major LLMs (OpenAI, Mistral AI, Google Gemini, private LLMs)
- - The benchmark ecosystem for Data & Analytics in large enterprises
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- - A team Certified Alteryx PartnerCertified Alteryx Partner (Sales, Implementation Connect, Implementation Server)
- - Silver Partner Alteryx On Tour France 2026- Silver Partner Alteryx On Tour France 2026, speaking on stage about the Cellnex Telecom case study
- - A proven methodology — AI-Powered DevelopmentAI-Powered Development — applied to our own workshops and projects
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- Daily practice with Generative AI in Finance, Risk, and Compliance environments at major banking, insurance, and industrial institutions.
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How to register?A strategic partnership to add value to your data
- Registration is handled directly on the dedicated Alteryx website page. Registration required, limited spots available.
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- 🔗 Register for a Generative & Agentic AI Masterclass
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- If you would also like to organize a workshop dedicated to your teams, focused on your own use cases—beyond the Alteryx series— contact us. We regularly host Prime Analytics sessions tailored to specific client challenges (credit, regulatory, underwriting, Data Quality, etc.) using our methodology AI-Powered Development.
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