AI Hands-on Bootcamp

Three hands-on days to master AI, automated workflows and agents from scratch, and build your own way of working with AI.

3 daysFriday to Sunday
9 hoursLive online / in person
3Custom AI assistants
€349Per person · full 3 days

Enrol now

AI BOOTCAMP · 03 DAYS

From using AI to having AI work for you.

This is not AI development training for programmers. It is a practical AI course for everyday professionals and beginners.

Requirements: no programming background and no AI experience needed. Just a computer and a real problem you would like to solve in class.

Who it's for

01
Complete AI beginners
You have heard of ChatGPT and other AI products but are not sure how to use them well or what different tools can do.
02
Professionals and employees
You want AI to help with emails, reports, spreadsheet analysis, organising information and everyday office tasks, so you spend less time on repetitive work.
03
Business owners and managers
You want to understand practical uses of AI and try bringing it into your company's workflows, without a technical background.
04
Freelancers and entrepreneurs
You want AI to extend what you can do and get more done in less time, without having to learn programming first.

What will you gain from the course?

01Learn to use AI properly
State tasks clearly, provide context and check results, instead of relying on random questions and trial and error.
02Three personalised AI assistants
Build reusable AI assistants for your role and work situations, so AI does the job the way you want it done.
03Build workflows that actually run
Learn to link multiple steps so AI automatically processes information, assesses tasks and produces results according to a set process.
04Get started with AI agents
Understand how an agent chooses tools, carries out tasks and reports results, and complete an introductory exercise that uses tool calling.

Full syllabus

Friday · Saturday · Sunday

DAY 01 · FRIDAYDay 1: Learn to use AIAI basics, effective communication and building a personal assistant3 hours
1. 01
  AI fundamentals and real-world uses: what large language models can and cannot do, and how to spot tasks worth handing to AI.
2. 02
  Communicating with AI: goals, context, materials, requirements and output format; multi-turn conversations and checking results.
3. 03
  Real office practice: summarising documents, writing emails, analysing spreadsheets and planning work, completing your first set of exercises.
4. 04
  Build assistant ①: personal productivity assistant. Define its role, rules and standard output so AI consistently responds the way you work.
5. 05
  Test the assistant, fix errors and review results.
Outcomes of the dayA reusable set of AI prompt templates + personal productivity assistant ①
DAY 02 · SATURDAYDay 2: Teach AI your knowledge and methodsPersonalised AI, knowledge bases and automated workflows3 hours
1. 01
  AI assistants and knowledge bases: the difference between general-purpose AI and custom assistants, and how to give AI your own materials.
2. 02
  Build assistant ②: expert knowledge assistant. Define its responsibilities, scope and answer standards based on your role or business needs.
3. 03
  Add knowledge to the assistant: organise documents, build a simple knowledge base and practise getting AI to answer from specified materials and cite its sources.
4. 04
  Your first workflow: learn trigger, input, AI processing, condition and output nodes, and connect a complete flow.
5. 05
  Run the workflow, debug issues and review in class.
Outcomes of the dayExpert knowledge assistant ② + personal knowledge base + your first working workflow
DAY 03 · SUNDAYDay 3: From workflows to AI agentsHow agents work, tool calling and your personal project3 hours
1. 01
  Understanding AI agents: how chat assistants, fixed workflows and agents differ; task decisions, tool calling and human approval.
2. 02
  Build assistant ③: task execution assistant. Configure its goals, tools, execution rules and safety boundaries.
3. 03
  Agents and workflows together: use preset tools to process information, classify tasks and log to-dos.
4. 04
  Final project: take a real problem from your own work and build a complete AI solution from input to result.
5. 05
  Presentations, mentor feedback and advice on next steps.
Outcomes of the dayTask execution assistant ③ + introductory agent exercise + personal final project

Your first AI team

Your AI Team

Personal productivity assistant
Organising, writing, analysis and planning
Expert knowledge assistant
Understanding materials, answering questions and expert support
Task execution assistant
Calling tools, handling tasks and running processes

All three assistants are built from shared class templates but can be tailored to different roles. For example, administrative staff can build a meetings and documents assistant, salespeople a customer information assistant, and managers a report analysis assistant.

Hands-on projects: putting AI to real use

Simulated business materials are provided in class. Choose one final project and personalise it with your own non-sensitive work scenario.

Smart office automation

Turn meeting notes into key points, action items and draft emails.

InputMeeting notes text
UsesAI assistant + automated workflow
DeliverablesSummary + to-dos + draft email

Teaching approach

30%Explanation60%Hands-on practice10%Q&A and review

Classes use simulated materials and a shared practice environment. You do not need to upload private customer data, real company accounts, contracts or other sensitive information.

Mentors

Our mentors are from the SHEPHARD team, which has long provided digital consulting, system integration and AI implementation services to businesses. The cases and methods used in class all come from real project experience.

Meet our team

Course information

Schedule: Friday to Sunday, three consecutive evenings
Duration: 9 hours
Class size: Small classes of 8–12 with a teaching assistant
Format: Live online classes or in-person computer sessions
Tools: AI chat tools + Dify visual workspace
Before the course: Account setup guide, class practice environment and sample data
Learning materials: Handouts, prompt templates, workflow templates, case materials
After the course: Results review, personal improvement suggestions, optional learning community

Fees and enrolment

€349/ person

Full 3 days · 9 hours

Dates and places are confirmed in the announcement for each session.

In-house training is quoted separately, with content tailored to the number of participants and your business scenarios.

Before the course, we recommend the free Anthropic Academy course “AI Fluency: Framework & Foundations” or Elements of AI (Spanish edition). Links are in Digital Business Resources.

The completion certificate and record of hours can serve as one record of how your company meets the AI literacy requirements of the EU AI Act (this does not constitute legal advice).

Enrol now Enquire about in-house training

Includes

Course materials and handouts
Prompt and workflow templates
Dify class practice environment
Basic project feedback
Mentor feedback and improvement suggestions

FAQ

I have no technical background at all. Can I join?
Yes. The course is designed for complete beginners. No programming or AI experience is needed. Every step is done with guidance from the mentor and teaching assistant.
What accounts and equipment do I need?
Just a computer with internet access. Before the course we will send an account setup guide and provide a shared practice environment and sample data, so you do not need to install multiple tools yourself.
Can I keep using my assistants after the course?
Yes. You get handouts, prompt templates and workflow templates, and can move the assistants and workflows you built in class to your own account to keep using and refining them.
Do I need to upload real work materials in class?
No. Classes use simulated business materials. You can personalise them to your own work, but please do not upload private customer data, contracts or other sensitive information.
What is the difference between online and in-person classes?
The content is the same. Online classes are taught live; in-person classes are hands-on computer sessions on site. Both have a mentor and teaching assistant on hand.
How does it differ from the FDE programme?
The AI Hands-On Bootcamp is for everyday professionals and focuses on using AI and building assistants and workflows. The FDE programme is for technical professionals who want to deliver enterprise AI projects, with deeper engineering content.
Can companies enrol a team?
Yes. Companies can enrol employees as a group or ask about in-house training, which we tailor to the number of participants and your business scenarios.

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