500+ professionals trained. 6 specialist tracks, 90-day post-training support. In-person, virtual, or hybrid delivery.
A comprehensive, outcome-driven corporate AI training programme designed for enterprise teams. 500+ professionals trained across industries. 6 specialist tracks to match every role and skill level.
| Formats | In-person, virtual (live), hybrid |
| Post-Training Support | 90 days of email/chat support after each engagement |
| Customisation | All tracks can be customised to your industry and tools |
| Certification | Presear certificate of completion for all participants |
Audience: C-suite, VPs, Business Unit Heads (non-technical)
Duration: 1β2 days | Batch size: Up to 30 participants
Covers AI strategy and governance, understanding AI capabilities and limitations, evaluating AI vendors, and building an AI-ready organisation. No coding required.
Audience: Software engineers, data engineers, technical architects
Duration: 3β5 days | Batch size: Up to 20 participants
Covers supervised/unsupervised learning, model training and evaluation, MLOps pipelines, model deployment to production, and monitoring for drift.
Audience: Product managers, engineers, AI enthusiasts
Duration: 2β3 days | Batch size: Up to 25 participants
Covers foundation models (GPT, Claude, Llama), prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and building GenAI applications.
Audience: Product managers, strategy teams, innovation leads
Duration: 2 days | Batch size: Up to 30 participants
Covers AI product roadmapping, defining AI success metrics, AI ethics and responsible product decisions, and communicating AI value to stakeholders.
Audience: ML engineers, research scientists
Duration: 4β5 days | Batch size: Up to 15 participants
Covers CNNs and vision transformers (ViT), object detection and segmentation, transformer-based NLP, multimodal models, and fine-tuning on domain-specific data.
Audience: Any level, any domain, any team size
Duration: Flexible | Batch size: Flexible
A fully bespoke training programme designed around your organisation's AI maturity, industry context, tech stack, and learning objectives. Includes a diagnostic workshop before curriculum design.