Open now · Engineering
ADLC bootcamp
4 daysClassroom, at your site. AI in the engineering delivery lifecycle.
For engineering teams in regulated institutions.
- Bootcamp
- Twelve outcomes
- Verification evidence
- Prerequisite: none
- Open now
Course catalogue · Available soon
One core, three sector tracks.
Every practitioner starts with GovKit Core: how to deliver AI with governance built into the work. Then each person takes the track for their sector. Leaders can join each track through a half-day executive briefing.
Learning path
Same core, then your own regulator and frameworks.
Start here
Sector tracks
Finish
- Sector capstoneA governed AI release plan for a real case, reviewed by a panel
01 · Catalogue
Catalogue
The ADLC bootcamp is open now. Four more courses are open for registration of interest.
No course runs longer than four days. Each course has a practitioner bootcamp. Each sector track also has a half-day executive briefing. We publish cohort dates when a course is released.
Start here · Core
GovKit Core
3 daysOr 6 online half-days.
For architects, engineers, delivery and risk leads.
- Bootcamp with graded lab
- Prerequisite: none
- Available soon
Track G
AI in government services
3 + 1 days3 days + 1-day capstone.
For government entities and GovTech teams.
- Bootcamp
- Capstone
- Executive briefing
- Prerequisite: GovKit Core
- Available soon
Track B
AI in banking under regulation
3 + 1 days3 days + 1-day capstone.
For banks, finance houses and their technology teams.
- Bootcamp
- Capstone
- Executive briefing
- Prerequisite: GovKit Core
- Available soon
Track T
AI in telecoms operations
3 + 1 days3 days + 1-day capstone.
For operators and their network and IT teams.
- Bootcamp
- Capstone
- Executive briefing
- Prerequisite: GovKit Core
- Available soon
Planned outlines. Modules, lengths and dates can change before release. Classroom, online and hybrid delivery for each course.
Core · all sectors
GovKit Core
Deliver AI features with governance built into the work, not added after it. Specs, architecture contracts, evaluation gates and evidence live in the same repository as the code.
- For
- Architects, engineers, product owners, delivery and risk leads
- Format
- Bootcamp with one graded lab · classroom, online or hybrid
- Length
- 3 days, or 6 online half-days
- Prerequisite
- None. Basic Git is useful.
- Evidence
- Graded lab, TILT assessment, lab receipt
- Status
- Available soon
Modules
| No. | Module | After this module you can |
|---|---|---|
| C1 | Why governance belongs in delivery | Explain how a control framework (ISO/IEC 42001, NIST AI RMF, EU AI Act) becomes checks in a delivery pipeline. |
| C2 | Architecture contracts | Write layer rules and an ArchiMate view that an AI coding agent must follow. Record decisions as ADRs. |
| C3 | Specs before code | Write acceptance criteria in Gherkin, non-functional requirements and evaluation criteria for one AI feature. |
| C4 | Evaluation gates for LLM features | Set evaluation thresholds and connect them to a CI quality gate that blocks a failed release. |
| C5 | Approval and evidence | Configure named approvers for ADRs. Export evidence that an auditor can trace from requirement to release. |
| C6 | Run it in your organisation | Choose a maturity level and a rollout plan. Assign the roles that own each gate. |
Graded lab
Govern one AI feature from spec to release.
In a sandbox repository with synthetic data, you write the spec and the evaluation criteria, pass the quality gate, and get your ADR approved by a named reviewer. A deterministic grader checks the result.
Labs use the open-source govkit toolkit (Apache 2.0) for governed AI delivery with Claude Code, Copilot or Codex. The course teaches the method, so the controls apply with other tools too.
Track G · Government
AI in government services
Design and release AI services that citizens can trust. Keep data sovereign, decisions explainable and people accountable for each decision.
- For
- Federal and local government entities, GovTech and shared-service teams
- Format
- Bootcamp, capstone and a half-day executive briefing
- Length
- 4 days + 1-day capstone
- Prerequisite
- GovKit Core (practitioners)
- Status
- Available soon
Modules
| No. | Module | After this module you can |
|---|---|---|
| G1 | Public value and citizen trust | Select AI use cases by public value. Write the transparency notice a citizen sees. |
| G2 | Data sharing and sovereignty | Classify data and apply GCC data-protection laws, for example the UAE and Saudi PDPL, to a data-sharing case. |
| G3 | Architecture for shared platforms | Model a cross-entity capability map in ArchiMate. Use the TOGAF ADM to plan a shared AI platform. |
| G4 | Procure and assure AI | Write AI requirements for a tender. Evaluate vendor models with model cards and acceptance tests. |
| G5 | Agentic services with human decisions | Separate process, decision and case work with BPMN, DMN and CMMN. Place the human decision in DMN. |
#1 Capstone
Redesign one citizen service.
Teams add an AI agent to the steps of a real public service, with a decision model, a data-sharing agreement and a governed release plan. A panel reviews each plan.
#2 Executive briefing · half day
Decide where AI serves the public.
For directors-general and executive directors. A Wardley map of the service landscape and three decisions to take.
Track B · Banking
AI in banking under regulation
Take AI use cases from idea to production under model-risk and supervisory rules. Map each use case to BIAN, so architecture, risk and business speak one language.
- For
- Banks, finance companies, and their architecture, data, risk and engineering teams
- Format
- Bootcamp, capstone and a half-day executive briefing
- Length
- 4 days + 1-day capstone
- Prerequisite
- GovKit Core (practitioners)
- Status
- Available soon
Modules
| No. | Module | After this module you can |
|---|---|---|
| B1 | BIAN for AI use cases | Map an AI use case to BIAN service domains and their control records. |
| B2 | Model risk management | Build a model inventory entry, a validation plan and a monitoring plan against supervisory standards such as the CBUAE Model Management Standards. |
| B3 | Credit, fraud and financial-crime models | Test a model for explainability and fairness. Write the reason codes a customer receives. |
| B4 | Conversational and agentic banking | Define bounded agency for an agent: mandate, consent, limits and a revocation path. |
| B5 | Resilience, cloud and third parties | Assess cloud and AI-vendor risk with outsourcing rules, using DORA as a reference model. |
#1 Capstone
From BIAN map to model-risk dossier.
Teams take one AI use case from its BIAN mapping to a dossier that a model-risk committee can approve. Labs use synthetic banking data only.
#2 Executive briefing · half day
Govern AI as a board.
For ExCo and board members. Model risk appetite, the regulator's view and the questions to ask management.
Track T · Telco
AI in telecoms operations
Put AI into network, service and customer operations with TM Forum ODA, and keep the legacy Frameworx map that most operators still run on.
- For
- Operators and their network, IT, data and customer-operations teams
- Format
- Bootcamp, capstone and a half-day executive briefing
- Length
- 4 days + 1-day capstone
- Prerequisite
- GovKit Core (practitioners)
- Status
- Available soon
Modules
| No. | Module | After this module you can |
|---|---|---|
| T1 | ODA components and Open APIs | Place an AI capability in an ODA component and name the Open APIs it exposes and uses. |
| T2 | eTOM, SID and TAM | Show which processes, data entities and applications an AI use case changes. |
| T3 | AIOps and autonomous networks | Assess a network domain against the TM Forum Autonomous Networks levels. Plan the next level. |
| T4 | Customer AI | Design a care agent or next-best-action model that respects consent and complaint rules. |
| T5 | Data, sovereignty and regulators | Apply residency and lawful-access rules from regulators such as TDRA and CST to an AI data flow. |
#1 Capstone
Design an ODA-aligned AI component.
Teams specify one AI component with its ODA placement, SID data, eTOM process change and governance gates. A panel reviews each design.
#2 Executive briefing · half day
Choose the next autonomy level.
For CTO, CIO and CXO teams. Where AI pays back in operations, and the risks to accept or refuse.
02 · Register interest
Reserve a place in the first cohorts.
Tell us which course and how many people. We confirm dates when the course is released. Private cohorts for one organisation are also possible.
- 1 · RegisterName the course, the track and the number of people.
- 2 · ConfirmWe send the cohort dates and the pre-work when the course is released.
- 3 · PreparePre-work opens two weeks before day one. Labs run in a sandbox with synthetic data.