Teach your team to work with data, models and agents.
Hiring for AI skills is slow, and a team that does not understand the tools either avoids them or trusts them too much. We run workshops and programmes that take your people from Python for data to building with LLMs and agents and deploying small models, taught by the engineers who build Intura's models, and set on your own data wherever it can be.
The problem
The problem it solves
Generic courses teach generic examples, and the step from a tutorial dataset to your own messy tables is where most people stop. Teams are also pulled two ways: told to use AI, without the grounding to judge when a large model is the right tool, when a small one is, and when neither is. Training built around your data and your use cases closes that gap, because the exercises are the work.
Who it is for
Who it is for
Analysts and engineers moving from spreadsheets or SQL into Python
Engineering teams starting to build with LLMs and agents
Data teams who want to train and deploy small models of their own
Managers and product owners who need to judge AI proposals rather than write them
What we do
What we do
- 1
Assess
A conversation with the people who will attend, or their leads, about where they start, what they work on and what they should be able to do afterwards.
- 2
Design the curriculum
Built from four tracks: Python for data, machine learning fundamentals, using and building with LLMs and agents, and deploying small models. We pick and order the modules for your team.
- 3
Prepare your data
Where you can share it, exercises are built on your own data or an anonymised sample of it, so what people practise is the work they go back to.
- 4
Deliver
On-site or remote, in Indonesian or English, hands-on, with code people run themselves rather than slides they watch.
- 5
Follow up
Notebooks and materials stay with your team, and the free courses on this site carry on where the sessions stop.
What you get
What you take delivery of
- A curriculum written for your team and your use cases
- Live sessions, on-site or remote, in Indonesian or English
- Notebooks and exercises your team keeps, built on your data where possible
- The free courses on this site, for practice after the sessions
- A written summary of what was covered and suggested next steps
How it runs
How an engagement runs
Training typically takes one of two shapes: a workshop on one topic, or a programme of several sessions that builds from Python to deploying a model. The proposal after the first call states the format, the number of sessions and the dates for your team.
- 01
First call
Who is attending, where they start, and what they should be able to do afterwards.
- 02
Curriculum
A proposed outline you review and adjust before anything is prepared.
- 03
Sessions
Hands-on, on your data where it can be used.
- 04
Follow-up
Materials handed over, and the free courses for what comes next.
FAQ
Common questions
How does this relate to the free courses?
The free courses on this site, Python Programming for Data and Machine Learning Fundamentals, are the self-paced base. Corporate training adds a live instructor, a curriculum chosen for your team, exercises on your data, and topics the courses do not cover yet, such as building with LLMs and agents and deploying small models.
Do participants need to know Python?
No. A programme can start at Python for data. For the LLM, agent and deployment modules we agree a starting level with you first, so nobody spends a session lost.
On-site or remote?
Either. On-site suits hands-on workshops in one office; remote suits teams spread across several. Both are taught live.
Can the exercises use our data safely?
Yes, where you can share it. We can work from an anonymised sample, or run the exercises inside your environment so the data never leaves it.
Start with the free courses
Python Programming for Data and Machine Learning Fundamentals are free on this site, written as articles with code you can run.
The other Enterprise services
01Integrate
Integration
We put Intura's models into your stack and your agent workflows, running on your CPUs, edge devices or VPC, benchmarked on your hardware and handed over with a runbook.
Read about this service02Develop
Custom models
A model trained on your taxonomy, your policy, your language and your case history, compressed to run on a CPU or an edge device, deployed where your data lives, and owned by you.
Read about this service03Build
Custom SaaS
A product built for you on top of the models: an internal tool, a dashboard, a browser extension or a workflow app, designed, built and deployed, then handed over or run for you.
Read about this service
Tell us what you need
Describe the problem, the team and where it has to run. An engineer reads every enquiry and replies by email.
30-minute call
Book a 30-min callEmail
[email protected]
You will get an engineer on the first call, not a qualification script.