Engineering programme
AI Engineering Forge
Engineers take AI systems from pilot to production: LLM integration, retrieval, agents, evaluation and deployment.
- Duration
- 6 weeks
- Delivery
- On-site or virtual
- Fee
- From ₦620,000 per learner
The gap this programme closes
Most organisations can demo AI but cannot move it from pilot to production.
What the programme builds
AI Engineering Forge builds engineers who ship real AI systems, end to end: LLM integration, retrieval-augmented generation, agentic systems, evaluation and deployment.
What it covers
- LLM integration
- Retrieval-augmented generation
- Agentic systems
- Evaluation
- Deployment
Who it is for
- For
- Technical officers and managers
- Level
- Engineering
- Team size
- Teams of 10 or more
We fit each programme to your sector's data, workflows and regulatory context, and deliver it on-site at your offices or virtually.
How a programme runs
1. Scope. A call on the capability gap, the team and the timeline.
2. Design. We fit the curriculum to your sector's data, workflows and regulatory context.
3. Deliver. Hands-on sessions on-site or virtual, over two to six weeks.
Commissioned by
Quick answers
Who is AI Engineering Forge for?
AI Engineering Forge is a engineering programme for technical officers and managers. Programmes run for teams of 10 or more.
How long does it run?
AI Engineering Forge runs for 6 weeks, on-site or virtual.
What does it cost?
From ₦620,000 per learner. Programmes are priced per learner and run for teams of 10 or more.
Can you tailor it to our industry?
Yes. We fit each programme to your sector's data, workflows and regulatory context. We work with organisations in financial services, energy, telecommunications and the public sector.
Where do you deliver?
We are based in Lagos and deliver on-site at your offices or virtually.
How do we start?
Request a proposal or book a scoping call. We scope the programme around your team, your context and your timeline.
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Tell us the capability gap you need to close
We will scope a programme around your team, your context and your timeline.