By the end of week one, new hires work with AI the way they work with a colleague
A bootcamp-style introduction that gets AI-native new hires applying AI to real company work immediately. It goes past tool mechanics into the habits of collaborating with AI and verifying what it produces, which shortens onboarding.
What is an AI bootcamp for new hires?
This two-day intensive gets new employees using ChatGPT, Claude and similar tools the way they would work with a colleague — inside the company's own context. Gartner expects more than 80% of all office workers to use generative AI at work by 2026, and 78% of companies now treat AI skill as a preferred qualification when hiring. The course leans on project-based learning rather than lectures, so new hires pick up tool use and verification habits at the same time and reach full productivity sooner.
Faster onboarding
Settles AI habits for the tasks juniors do most during week one, cutting the ramp-up period.
Verification first
Trains the instinct to question and confirm output, not just the mechanics of the tool.
Project-based
Participants work a real onboarding assignment with AI rather than sitting through lectures.
Curriculum
12 hours (2 days) — what's covered
Working with AI: the fundamentals
3 hoursHow generative AI works and where it fails, how the main tools differ, and which tasks a new hire should automate first
Business documents, for real
3 hoursDrafting reports, summarizing meeting notes, and replying to email in the company's own formats, then editing the output
Research and verification
3 hoursAutomating research, confirming sources, spotting hallucination, and applying internal security and data-protection rules
Team project
3 hoursComplete a real onboarding assignment with AI, then present the result and take feedback
Key concepts in the curriculum
A quick look at what this course covers.
First step in growth
The curve a new hire climbs with AI alongside
A new hire's AI toolkit
A desk where several AI tools are used freely
The habit of checking
Doubting AI output and verifying it
Learning objectives
- Learn how to use ChatGPT, Claude, and Gemini for real work
- Build the habit of writing and checking prompts in company context
- Handle the tasks juniors do most — reports, email, research — with AI
- Internalize fact-checking of AI output and the security guidelines around it
What you take away
- A prompt template set for the tasks new hires do most
- One completed onboarding assignment, built by the participant
- A fact-checking checklist for AI output
- A summary of internal AI security and data-protection rules
Expected outcomes
- Shorter onboarding and faster time to full contribution
- Company-wide AI standards set early, from day one
- Less uncritical dependence on AI output
- Stronger self-directed learning among new staff
How teams put this to use
Onboarding assignments
Finish company overviews, market scans and similar first assignments fast with AI research
Reports and email
Generate and edit drafts that match the reporting line and the company's tone
Learning the job
Ask AI about unfamiliar internal terms and processes and get up to speed quickly
Verification as habit
Adopt a routine for checking the sources and facts behind anything AI produced
AI bootcamp for new hires — FAQ
Yes. We start from account setup and basic operation and move step by step, so no prior experience is needed. Learning this before work habits harden is actually an advantage.
Yes. The course is built for group onboarding and suits training a cohort of new joiners. We adjust the format to the group size and your schedule.
Yes. Share your reporting formats and real work examples in advance and we shape the onboarding assignment and prompt templates around your context.
No — which is why fact-checking, source confirmation, and internal security rules get real weight here. The goal is to prevent the classic mistake of submitting unverified AI output.
AI bootcamp for new hires — get started
Tell us your goals and headcount, and we'll design the program around them.