🎉 AI For Technical Marketers live course – JOIN THE WAITLIST!
🎉 AI For Technical Marketers live course – JOIN THE WAITLIST!
Learn how AI can help you and your marketing team in this live, hands-on Simmer training that teaches you how to build, deploy, and validate real AI-powered marketing workflows.
Join 3.3K+ students worldwide who rely on Simmer® to level up
Most “AI for marketers” courses stop the moment the output looks good. This one starts there.
If you work in technical marketing, you’ve already noticed the gap.
You can prompt your way to an answer in seconds, but you can’t tell if it’s hallucinated.
You’ve seen AI pipelines confidently produce… nonsense. You’ve delivered outputs to stakeholders that felt right but had no verification layer behind them. You’ve taken courses that taught you prompt frameworks, but nothing that taught you how to measure whether the model actually worked.
The thing nobody is teaching, and the thing that matters most when AI touches real business decisions is evaluation. How do you know the output is correct? How do you catch the model when it drifts? How do you build a pipeline you can defend to a CMO or a compliance team?
Meanwhile, every week there’s a new course promising to teach you how to build AI tools. None of them stops to ask: is what you built actually producing the right answers?
This masterclass is built around that question. You will leave knowing how to build working AI pipelines, and how to prove they work.
The marketers who stand out over the next few years will not be the ones avoiding AI completely. They will be the ones who know how to combine AI with strong technical understanding, critical thinking, and practical workflow knowledge.
This Simmer® Live Training follows this curriculum:
AI Strategy Director @ Jellyfish
AI Lead @ Schwarz Digits
These are just the broad strokes. Each week comes with practical applications and concrete tasks that further your understanding of how AI can be harnessed for technical marketing work.
You’ll also build an AI assistant that will help you progress through this course!
Master the AI-powered workflows of modern technical marketing
Most AI courses end when the output is generated. This one teaches you to measure it. You’ll learn to calculate F1 scores, read confusion matrices, and design evaluation datasets, the skills that separate a reliable AI pipeline from an expensive liability.
Every use case is built on real data. The pipelines will be intentionally imperfect so you learn to work with messy inputs; the same conditions you’ll face in any real organization.
After each session, Simo and Mari host a 45-minute office hours recap: plain-language summary of what was covered, live Q&A, and homework troubleshooting. Can’t make it live? Submit your questions in advance. Everything is recorded.
You’ve used AI tools before, but you’ve found it difficult to utilize them correctly
You want to learn how to evaluate the output of AI models so that you don’t mess things up in your organization’s processes and workflows
You want the type of up-to-date content that only live courses can provide
You want to learn from practical examples rather than just theory and concepts
You want award-winning expert instructors to walk through all the examples with you, and you enjoy interacting with your peers and instructors in real time
You want to go beyond prompts and tooling to better understand how AI actually fits in your organization’s processes, and how you can avoid the common privacy, financial, and maintenance traps that AI often introduces
You cannot commit to a live curriculum (although recordings will be made available if you miss a session)
You believe that AI is a self-sufficient, closed workflow that doesn’t need evaluation or validation
You are looking for just a prompt engineering course, or a course that focuses solely on how specific interfaces (Claude, Cursor, Replit, etc.) work
*VAT is added to the price for EU individuals.
This course has a maximum of 30 seats available.
This is a live cohort. Each of the six live sessions is 90 minutes of peer coding alongside the instructors. Cohorts are capped at 30 students so every question gets answered and every student gets attention.
Between sessions, you’ll have access to written lesson materials, Colab notebooks for every topic, a shared course knowledge base in NotebookLM, and a glossary of every concept covered. The notebooks are yours to keep and reuse.
Upon the completion of the course, you’ll receive a Simmer® certificate you can share on LinkedIn and professional profiles.
You’ll also receive lifetime access to all course materials, notebooks, and the Simmer Community.
Every student leaves with a reusable AI evaluation template, three working pipelines for all course use-cases, a model-agnostic API setup you can plug into any provider, and a privacy and governance checklist for AI projects.
Success Stories
"Juliana doesn't just teach a subject. She is genuinely invested in how well her students actually understand it."
Corie Tilly
Digital Analytics Implementations Engineer @ IIH Nordic
Juliana Jackson is a data leader and educator who specializes in breaking down complex AI technology into practical, real-world strategies. Currently serving as the AI Strategy Director at Jellyfish, Juliana spends her days building and deploying custom AI products, specialized language models, and decision intelligence solutions on Google Cloud.
Juliana’s and Krasimir’s work co-architecting Customer Voice Analysis solutions using a specialised language model earned them four prestigious Lovie and BIMA Awards in 2025 for the best use of AI, machine learning, and data.
Juliana is a Data Storytelling & Visualization professor at IHM Business School in Malmö, host of the Standard Deviation Podcast, and author of the data strategy newsletter Beyond The Mean. In this course, she brings that exact teaching experience to help you cut through the AI hype and build skills you can actually use.
Krasimir Bambalov is a Software Engineering Lead AI who specializes in turning complex machine learning systems into real, production-ready products. Currently serving as an AI Lead at Schwarz Digits, Krasimir focuses on applying AI to specific business problems, moving between strategy and implementation to make sure things actually get built.
Instead of chasing benchmarks, Krasimir has spent years shipping models that hold up in the real world, for some of the world’s most recognized brands.Â
With a background spanning some of the world’s largest consultancies and agencies, and certified in Cloud and AI Architecture, Krasimir brings both rigorous foundations and a bias for execution, having applied AI solutions for some of the biggest enterprise clients across industries. He is a strong believer that meaningful work in data science lives not in prompt tricks or legacy models, but in the hard, fascinating problems in between.
We are honored to train employees from companies such as these
There are seven weeks of planned content. Each week, there is a live office hours session, which lasts 60 minutes. Weeks 2–7 have live sessions, each 90 minutes long.
Thus, if you intend to follow along all the live content, that is the minimum time allotment.
There is additional written content, quizzes, and community discussions that add to the course duration, too.
In general, we recommend you put aside 3 hours per week for the duration of this 7-week-long course.
Simmer and the instructors are all based in Europe, so the timezone will be EU-friendly. However, we are working in an evening schedule, so for example early risers in the US could still attend the sessions.
The live sessions and office hours calls will start at 5 PM CET. In the US, that’s 11 AM Eastern Time and 8 AM Pacific Time.
You will have access to session recordings as well as all the supplementary text content, so while it’s not ideal to miss the live sessions, it won’t slow down your opportunity to learn with the rest of the group.
When the course begins on September 14, you will get access to the course space. There, you’ll be able to chat with your instructors and peers, and you’ll be able to view the schedule and full curriculum of the course.Â
During the sessions, the instructions will share all the necessary access, files, documents, and data that you need to follow along the course.
Once the course is complete, you will have lifetime access to the recordings and all the course material.
We don’t expect you to have programming skills, deep expertise in AI, or familiarity with the tools we use such as Git and similar collaboration tools.
However, the more you know about these things the less friction there will be during the course.Â
Just note that we will begin the course by creating and using an AI assistant that you can use to help you along with any obstacles you might face!
We offer a full refund, no questions asked, if you request it before the course begins on September 14. After the course begins, you can get a 50% refund if you request before the first two weeks of the course are done (before September 28). After that date, refunds will no longer be possible.
