Instructor-led generative and agentic AI masterclasses for finance and professional teams. Participants apply practical methods to relevant documents, decisions and workflows.
Individual efficiency, then team automation, then executive transformation. Three themes, nine modules, one 3h20 session per module, and every module ends with work your team keeps. Open the theme you need.
Everyone in the room learns to work with the model on the tasks in front of them this week: how to ask for what they need, how to check what comes back, and what never to paste into it. No theory, no code, and nothing generic. Each person leaves with a prompt library written in their own wording.
3 modules · one 3h20 session each
The step up from the personal to the team: a report that explains itself, an incident queue that closes its own loop, and an agent pipeline carrying a real process end to end. The automation runs live on screen in eLearn2grow's own framework, then the room specs one of its own.
3 modules · one 3h20 session each
For the people who decide what gets funded and what gets refused. Boardroom size, and every session ends in a decision artefact drawn by the participants on their own organisation: a heat map of where AI pays, an ROI frame, a governance grid.
3 modules · one 3h20 session each
Theme 2 is demonstrated on Hermès, eLearn2grow's own production agent framework: a multi-agent pipeline that has run real work, not a mockup built for a demo.
Module 2.3 puts your process inside the pipeline, in a sandbox, and runs it end to end. No code is written by your team.
Escalation, audit trail and the hand back to a human are taught here because they had to be solved before this pipeline could be used at all.
Every module is quoted according to the audience, level of adaptation and delivery arrangements. Following a 30-minute discussion, eLearn2grow provides a written proposal. Larger cohorts, multi-module programmes and delivery outside Hong Kong can also be quoted.
One module, one price, no licence, no platform, no subscription. The artefacts belong to your team the day you get them.
The 3h20 workshop, interactive, 10 to 12 participants, on site, with use cases from your sector. Nothing to prepare beforehand.
Two or three days with your processes first, then the workshop with every exercise built on your own documents and workflows.
Everything in option B, plus a 3 to 5 minute micro-learning capsule delivered into your LMS, so the method is still there when the next joiner arrives.
Each module has clear learning objectives. The exercises can use sector examples or, where appropriate, selected processes and permitted materials.
Each module follows a defined learning journey and leads to practical work completed by the participants.
The working examples reflect the participants’ roles, sector and business context. Client material is used only when appropriate and agreed.
Sixty to ninety minutes, any size room, no laptops. What AI changes in their work, shown through relevant professional documents, decisions and workflows, with the questions internal channels do not always resolve answered live.
Everyone leaves with a one-page do and don't list and five prompts they can run the next morning. It provides a practical first step when a larger audience needs a shared understanding before moving into applied workshops.
Every module is designed and facilitated by David Daoud, combining more than 20 years of banking transformation experience with practical AI capability building.
Transformation and change programmes in tier-1 investment banking across Asia Pacific: HSBC, Société Générale, BNP Paribas, Crédit Agricole.
One of the first regional AI ambassadors at HSBC. Contributed to the foundation of the APAC AI upskilling programme.
The person who discusses the business need also designs and facilitates the session.
Participants leave with work they have developed and checked during the session, not only a certificate or presentation.
No, for option A. The workshop runs on sector use cases and needs nothing from you in advance. For options B and C, two or three days with your own processes first, which is what makes every exercise yours.
No. There is no code in any of the nine modules. Analysts, relationship managers, operations staff and executives can use the same method while applying it to their own roles.
Whichever model your organisation has approved. The method is model-agnostic and exercises follow your permitted-use and confidentiality requirements.
Very little. Sessions are 3h20 and participants are on their own material for most of it, with a 20-minute break in the middle. Nothing runs in the background on your data.
Every module is quoted according to the audience, level of adaptation and delivery arrangements. Following a 30-minute discussion, eLearn2grow provides a written proposal. Larger cohorts, multi-module programmes and delivery outside Hong Kong can also be quoted.
Where the work is regulated writing: asset managers, insurers, law firms, accounting. Not for startups, and not for a general audience.
Look beyond the number of topics in the catalogue. Ask who will facilitate the session, whether participants will practise on relevant business situations, how outputs will be checked and what the team will retain after the session.
Yes, where the objective is practical learning and team application. The session can focus on a shared business problem, use case or workflow rather than a general AI presentation.
One 30-minute call is enough to say which module fits your room, and whether you need the assessment first. Past sessions are on the YouTube channel if you would rather judge the teaching before you book anything.