Agentic AI & AI-assisted coding
Learn to build with modern AI tools: AI-assisted and agentic coding workflows, automation, and the agent-driven development practices reshaping how energy software gets written — applied to real problems on real data.
Hands-on training for the energy industry
Agentic AI. Data Science. Geostatistics.
Built for energy professionals.
Daytum is the training company founded by two UT Austin educators. Learn AI-assisted and agentic coding, Python data science, machine learning, and geostatistics — through live workshops and enterprise programs on your own data.
- Agentic AI & AI-assisted coding
- Data science & machine learning
- Geostatistics & subsurface analytics
About daytum
Education designed by people who know the subsurface, engineering, and analytics
Energy is unique. Modeling sparse, uncertain, open-earth systems requires expertise. At daytum, geoscience and engineering are a core focus as we blend physics-based solutions with data-driven ones — and now with agentic AI, the way energy professionals build software is changing. We teach the new workflow.
Where AI-assisted coding meets applied energy science
From Python fundamentals to agentic coding workflows, from geostatistics to subsurface machine learning, our curricula are application-focused and built on real energy data — designed for working professionals who want to move their workflows forward.
What we teach
Three pillars, one goal: modern energy workflows
Data science & machine learning
Python, analytics, visualization, and machine learning taught through energy-industry curricula — from automating day-to-day workflows to subsurface ML models for prediction and uncertainty.
Geostatistics & subsurface analytics
Spatial data analytics, geostatistics, uncertainty modeling, and debiasing — taught by Dr. Pyrcz, one of the field’s best-known educators. The science behind confident subsurface decisions.
Our learners work at:
Solutions
How to learn with daytum
Enterprise solutions
We help you do more with what you already have — building workflows and curricula on your data. Tailored programs that allow for iteration, longer-term improvement, and a stronger data-driven culture.
Talk to us →Hands-on in GitHub Codespaces
Every course runs in GitHub Codespaces — a browser-based environment, identical for every learner. No software installs, no setup friction, and exercises on real energy data, using the same tools modern teams actually use.
Ask how it works →Workshops
Public and private workshops introduce what’s possible with data science, machine learning, and agentic AI. Learn how Python, applied statistics, and open-source software apply to your daily workflows.
See upcoming workshops →Testimonials
What our learners say
“daytum does a great job of demystifying Machine Learning concepts and buzzwords.”
“Fantastic learning environment and fantastic instructors.”
“After learning Spatial debiasing from Dr. Pyrcz, I can’t look at my data the same anymore.”
“Clear and concise explanation of the concepts — very well-organized materials — industry example and use cases explanations.”
“The course material is very well-designed, and the exercises are very helpful to carry out and follow. The instructors were very engaging and helpful.”
Instructors
Founders who teach
Dr. John Foster
Co-Founder & CTO
Engineer and educator teaching at UT Austin; builds daytum’s agentic AI and AI-assisted coding curriculum for the energy industry.
Dr. Michael Pyrcz
Co-Founder & Chief Science Officer
Geostatistics educator at UT Austin (GeostatsGuy); leads daytum’s geostatistics and subsurface analytics curriculum.
Where should I start?
Do you keep hearing buzzwords like “Machine Learning”, “Neural Networks”, “Agentic AI”? Curious how data science fits into the energy industry — or how AI-assisted coding changes the way you work? Join a workshop and see what’s possible.
Contact us
Get in touch
Have questions, or want us to teach at your company? Drop us a line.
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