Structured, industry-specific AI training programmes for enterprises — from boardroom strategy to engineering bootcamps. Custom-built, project-based, and measurably effective.
Programme at a Glance
Every programme is scoped from scratch — no generic slide decks. We design around your industry, tools, tech stack, and workforce maturity level to ensure the content is immediately relevant and applicable.
Participants solve real business challenges using your own data and systems throughout the programme. We define success metrics before delivery and measure outcomes — not just satisfaction scores.
We stay engaged for 90 days after each cohort — office hours, implementation coaching, and follow-on Q&A sessions. AI adoption requires sustained support, and we commit to that from day one.
Purpose-built for every role — from the boardroom to the engineering bench. Each track is designed to deliver clear, role-specific AI capability at the right depth.
A strategic workshop for C-suite executives, board members, and senior managers. Covers AI capabilities and limitations, investment decision frameworks, vendor evaluation, risk governance, and how to read an AI proposal critically.
Hands-on programme for software engineers and data professionals. Covers ML pipelines, model development, evaluation, deployment, MLOps practices, and integration of AI APIs — using your existing tech stack and real workloads.
A practical deep-dive into large language models, prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and safe enterprise LLM deployment — for product, engineering, and innovation teams ready to ship with GenAI.
For product managers, innovation leads, and strategy teams. Covers the AI product lifecycle, roadmapping AI features, responsible AI frameworks, vendor evaluation, and building compelling business cases for AI investment.
Intensive technical programme covering convolutional neural networks, transformer architectures, object detection, NLP pipelines, and multimodal AI — with real-world project-based assessments in your target domain.
A fully bespoke curriculum co-designed with your L&D team — built around your organisation's specific AI goals, existing tooling, workforce maturity, and competitive landscape. We design, build, and deliver from scratch, at any scale.
We co-design every programme before a single slide is built — ensuring what participants receive is grounded in your business reality.
The programme wasn't generic training — it felt like it was built specifically for our team. The instructors understood our stack and our business context from day one.
We begin with structured discovery sessions — mapping your workforce's current AI maturity by role, identifying specific skill gaps, and clarifying the business outcomes you need training to deliver. This assessment shapes every design decision that follows.
Our instructional designers and senior AI practitioners build a programme tailored to your industry, tools, and learning objectives. You receive a detailed curriculum plan for review before any delivery begins — no surprises, no off-the-shelf content.
Programmes are delivered in-person, virtually, or hybrid — with hands-on labs using your actual systems, live case studies drawn from your industry, and real-time Q&A embedded throughout. Participants leave with completed projects, not just certificates.
Participants receive Presear-issued credentials recognised across our partner and client network. Post-cohort support — weekly office hours, implementation coaching, and on-demand Q&A — continues for 90 days to embed what was learned into real workflows.
AI transformation requires alignment at every level of the organisation — not just the data team. We build programmes for each function that speak to what they actually need.
Tell us about your workforce, your goals, and your timeline. We'll scope a programme that moves your team from AI-curious to AI-capable — and stays with you through adoption.
Typical discovery-to-delivery timeline: 3–5 weeks for standard tracks, 4–8 weeks for bespoke programmes.