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Διάρκεια 21 Ώρες
Εξέλιξη Κομματιού
- Beforehand: Discovery
- Two discovery sessions
- Conversations with the client and the departments
- Collecting problems and bottlenecks
- Selecting tools that fit the company
- Defining success criteria
- Exercise: Create a list of five to eight challenges with data situation and contacts.
- Outcome: Challenges, tool selection and success criteria are defined.
- Two discovery sessions
- Day 1: Tools, teams and start of the sprint
- Tool onboarding
- 20 minutes of hands-on practice per tool
- ChatGPT, Claude and Claude Cowork
- Lovable and Cursor for prototypes
- Make.com and n8n for automations
- Industry-specific tools
- Exercise: Solve a mini task with each tool.
- Teams and challenge
- Teams of three to four people
- Selecting and sharpening the challenge
- Solution sketch and tool choice for each team
- Exercise: Capture a one-page solution sketch.
- Sprint start
- Building the first version
- The trainer rotates between the teams
- Coaching on tools, prompts and structure
- Exercise: Reach a first working version by the evening.
- Outcome: Each team has a sharpened challenge and a first working version.
- Tool onboarding
- Day 2: Sprint, demo and usage plan
- Sprint
- Building, testing, improving
- Testing with real data or cases
- Interim review in the morning
- Exercise: Test the solution on three real cases.
- Demo and evaluation
- Pitch to the management
- Evaluation by benefit and feasibility
- Taking in feedback
- Exercise: Present the solution in five minutes.
- Usage plan
- What will be used from next week
- Metrics for success
- Next expansion stages
- Exercise: Write a usage plan with three steps for the own solution.
- Outcome: Each team has a working solution, a presented pitch and a plan for use from the following week.
- Sprint
Απαιτήσεις
- Laptop, access to the approved AI tools, and willingness to bring a concrete problem from the own area.
- No technical prior knowledge required.
Audience
- Mixed teams from departments and IT who want to try AI on their own problems and take working solutions with them.
Σχόλια (3)
Συνοπτική επισκόπηση του υποβάθρου· τρόπος σύνταξης μιας εντολής (prompt).
Olaf Kannt - Helios Klinikum Krefeld
Κομμάτι - Generative AI and Prompt Engineering in Healthcare
Μηχανική Μετάφραση
οι συμβουλές και οι προτεινόμενες εντολές που μπορούμε να αντλήσουμε από αυτή την εκπαίδευση
Lee Mei Lin - ST Engineering IHQ Pte Ltd
Κομμάτι - InVideo AI: Creating Engaging Short-Form Videos
Μηχανική Μετάφραση
χρήση κατάλληλων και αποτελεσματικών προτροπών
Marses Pacaldo
Κομμάτι - Generative AI and Prompt Engineering for Corporate Professionals
Μηχανική Μετάφραση
