AI Bootcamp — IBFTS

What you get in 5 days

✍️

Prompt generators

Guided tools tailored to your professions, to write clear requests and get reliable results.

📄

Document assistants

Analysis, summaries, Q&A and decision notes on your reports, studies, regulations and procedures.

🧭

Business assistants

Specialised for your studies, audits, project monitoring and communications, tested on real cases.

🧩

Interactive tools

Simple web pages, without complex programming, for your recurring tasks.

🔁

Repeatable processes

Your procedures turned into structured templates the whole team can reuse.

📚

Good practices

A library of good practices and recommendations for gradual AI adoption.

The programme, day by day

Day 1 · Understanding AI and its potential

Opening, objectives, forming the working groups
Generative AI explained simply: families of AI, strengths, limits, uses by profession
Discovering the main tools: each group tests several tools on the same case and compares
Prompt engineering in practice

Workshop: build your prompt generator. Output of the day: a first customised prompt generator.

Day 2 · Making documents and knowledge work

AI for document analysis: technical reports, studies, regulations, procedures, minutes
Creating a document assistant: analyse, summarise, answer, prepare a decision note
Structuring knowledge to get more from AI

Workshop: turn a procedure into an AI assistant. Output of the day: a first document assistant tested on a real case.

Day 3 · Designing business assistants

Identifying opportunities: studies, audits, programme monitoring, communication, partnerships, project management, administration
Designing an assistant: needs, useful information, business rules, quality criteria, expected results
Structuring a decision-support process

Workshop: enrich and test the assistants on real cases. Output of the day: a business assistant ready to deploy.

Day 4 · Building simple tools with AI

Creating interactive tools without complex programming: HTML assistants, smart forms, content generators, decision tools
Locally run AI: principles, pros and cons, confidentiality and governance, demonstration

Workshop: create a business tool, then improve the outputs. Output of the day: a working prototype ready for the final presentation.

Day 5 · Finalising and looking ahead

Good practice for lasting integration: human validation, quality, confidentiality, governance, business–IT collaboration, continuous improvement
Finalisation: test, improve, document, prepare the presentation

Presentation to all participants: business need, approach, solution, expected benefits, outlook. Closing: summary, priority opportunities, recommendations for gradual adoption.

How we work

Working groups and collaborative workshops, with participants rotating
Demonstrations carried out with the trainees’ participation
Every afternoon ends with a production workshop
Programme adapted to your sector: your documents, your missions, your vocabulary

Who it is for, and terms

Audience	Institutions, agencies, technical departments and business teams building skills together
Duration	5 days, 35 hours
Price	From DZD 50,000 per day, room and lunch extra
After the bootcamp	60-day action plan
Group size	Depending on the room and the nature of the training

Five days to put generative AI to work in your professions

AI is everywhere. Teams don’t know where to start.