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KRI Learning Lab
KRI Learning Lab provides live sessions and short educational material on mission-critical AI assurance, with an initial focus on space AI, onboard autonomy, and high-risk autonomous operations.
Space AI Assurance Primer
The first course is the Space AI Assurance Primer, delivered as four weekly live sessions for people who need a practical understanding of technical evidence, runtime controls, and review expectations before autonomous systems affect mission decisions. A compact live introduction to assurance concepts for onboard AI, autonomous spacecraft, ADR, ISAM, RPO, and autonomous collision avoidance.
Course Details
- Four weekly live sessions
- 45 minutes per session
- 20-minute briefing
- 20-minute Q&A
- 5-minute feedback
- Notes and starter checklist
- Certificate of participation
Course Description
- Introduces the shift from deterministic control to onboard autonomy, and why high-risk decisions need explicit evidence.
- Covers Simplex architecture, decision gates, safety boundaries, and fallback control for autonomous manoeuvres.
- Explains runtime monitors, uncertainty thresholds, logging, and incident reconstruction for safety-critical autonomy.
- Shows how to structure review evidence for ADR, ISAM, RPO, autonomous collision avoidance, and proximity missions.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Target Audience
- Space operators and mission teams working with autonomy or onboard AI.
- Public-sector, policy, or procurement teams reviewing autonomous capability.
- Founders, engineers, researchers, and students entering space AI assurance.
- Insurers, advisers, and technical reviewers who need clearer evidence language.
Course Materials
- Four weekly live sessions.
- Live session notes.
- A Space AI Assurance Starter Checklist.
- A compact reading list linked to KRI-STD-001.
- Selected sessions may later be turned into short public videos.
- Certificate of participation for participants who complete the course.


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How to Join
Join the first live cohort and receive the session notes, starter checklist, and course materials. In your message, briefly state your role, organisation, and why space AI assurance is relevant to you.
Disclaimer
KRI Learning Lab material is educational and informational. It does not constitute legal, regulatory, safety, licensing, mission approval, procurement, investment, insurance, engineering sign-off, operational advice, or professional accreditation. It does not replace mission-specific technical review, regulator decisions, customer acceptance, or formal safety-case ownership.
Independent research initiative for mission-critical AI assurance, focused on space AI, onboard autonomy, and autonomous operations.
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