Generative AI training for employees is a practical program that teaches staff how large language model tools work, where they help and where they fail, and how to use them safely on daily tasks. Participants practise prompting, checking outputs and protecting confidential data through hands-on labs built on real business scenarios.
- Recommended: 1 day in person, or 3 × 2.5-hour live virtual sessions, customised to your tools
- Level: Foundation · In person · Live virtual · Blended
- Designed with the ADDIE model and customised to your context
- Offered by Bodhih since 2008 to 2,000+ organisations across 7 regions
Also known as: generative AI training for employees, GenAI corporate training, AI upskilling for employees, ChatGPT training for employees
Where and how: generative AI training as an in-person workshop in Bengaluru, Mumbai, Delhi NCR, Gurugram, Hyderabad, Chennai, Pune, Kolkata, Ahmedabad and Jaipur; as a live online course; or delivered overseas in Dubai, Singapore and across the Middle East, Asia and Africa.
Why generative AI skills matter now
Most teams already have access to an AI assistant, but usage is uneven. A few enthusiasts save hours each week, while others avoid the tools or paste in data they should not.
Structured generative AI training closes that gap. It gives everyone a shared vocabulary, a set of tested prompts for their role and firm guardrails, so adoption grows without adding risk.
The World Economic Forum's Future of Jobs Report 2025 names AI and big data as the fastest-growing skills to 2030.
What participants will be able to do
Explain how GenAI works
Describe in plain language how large language models generate text and why they sometimes invent facts.
Pick the right tasks
Sort everyday work into tasks that suit AI, tasks that need a human, and tasks that need both.
Write useful prompts
Use a simple role-task-context-format structure to get usable first drafts in fewer attempts.
Check before you share
Verify AI outputs for accuracy, bias and tone before they reach a client or colleague.
Protect sensitive data
Apply your organisation's data classification rules to every prompt and file you share with an AI tool.
Build a personal workflow
Leave with a role-specific prompt library and at least three workflows ready to use on Monday.
Who should attend
- Employees in operations, finance, HR, sales and support who handle documents and email daily
- Team leads who want consistent, safe AI use across their teams
- GCC and IT services teams rolling out an approved AI assistant
- BFSI and manufacturing staff working under strict data and compliance rules
- New joiners and campus hires building digital work habits early
Program outline
Recommended design, customised to your context after a short needs analysis.
01Generative AI without the jargonModule 1 · 60 min+
- What large language models are and what they are not
- Tokens, context windows and why answers vary
- Hallucinations and why confident text can still be wrong
- Live demo: the same request across two approved tools
02Finding the right use casesModule 2 · 60 min+
- Mapping your week: drafting, summarising, analysing, ideating
- The task suitability grid: value versus risk
- Where human judgement must stay in charge
03Prompting fundamentals labModule 3 · 90 min+
- Role, task, context and format: the core prompt pattern
- Giving examples and constraints
- Iterating through follow-up prompts instead of starting over
- Lab: turn a messy meeting transcript into minutes and action items
04Data privacy do's and don'tsModule 4 · 45 min+
- Public, internal, confidential and restricted data in practice
- Masking names, account numbers and client details before prompting
- Approved tools versus personal accounts
- Quick quiz on grey-zone scenarios
05Quality, bias and verificationModule 5 · 45 min+
- A five-point check for facts, figures, sources, tone and bias
- Spotting invented citations and numbers
- When and how to disclose AI assistance
06Business scenario labsModule 6 · 90 min+
- Draft a client email reply in the right register
- Summarise a policy document for frontline staff
- Analyse survey comments into themes
- Build and test a reusable prompt for your role
How we deliver it
Your tools, your policies
We design labs around the AI assistant you have approved and your acceptable-use policy, so nothing learned has to be unlearned later.
Practice over presentation
Roughly two-thirds of the time is hands-on. Participants work on anonymised versions of their own tasks, not generic demos.
Prompt library as a takeaway
Each cohort builds a shared, role-based prompt library that teams can keep improving after the program.
Designed with ADDIE
We analyse current usage and risks, then design, develop, deliver and evaluate the program around your context.
Tailored versions
For GCC and IT services teams
Adds labs on documentation, status reporting, test case drafting and client communication across time zones, aligned to your delivery processes.
For BFSI and regulated teams
Places extra weight on data classification, customer confidentiality and audit trails, with scenarios drawn from operations and customer service.
For manufacturing and plant functions
Focuses on SOP summaries, shift handover notes, supplier emails and safety communication, with offline-friendly exercises.
How we measure impact
In line with the Evaluate stage of ADDIE, participants take a short AI skills and safe-use assessment on AssessAll, Bodhih's AI assessment platform, before the program and again afterwards to show the shift. Managers receive a simple checklist to observe AI use in real work. At 30, 60 and 90 days we collect examples of time saved, prompts reused and any data-handling issues, and share a summary with your L&D team.
Pair this program with AssessAll, Bodhih’s AI assessment platform, for pre- and post-program skill measurement.
Frequently asked questions
What is generative AI training for employees?
It is a practical program that shows staff how AI assistants work, which tasks they suit and how to use them safely. Participants learn to write clear prompts, check outputs for errors and protect confidential data. The focus is on real work, such as emails, summaries and analysis, rather than theory about models.
How do you train employees to use generative AI safely?
Start with your approved tools and your data policy, then teach through realistic tasks. Our generative AI training combines a short concept session with hands-on labs, a clear list of data do's and don'ts, and a verification checklist. Managers then reinforce the habits through quick check-ins over the following weeks.
Is generative AI training useful for non-technical staff?
Yes, because most everyday uses, such as drafting, summarising and brainstorming, need no coding at all. Non-technical employees often gain the most because they spend a large part of their day on documents and communication. The program uses plain language and role-based examples so everyone can take part confidently.
How long does a generative AI workshop take?
Bodhih recommends one full day in person or three live virtual sessions of about two and a half hours each. The design is customised, so we can shorten it for awareness briefings or extend it with role-specific labs. Follow-up clinics at 30 and 60 days help teams keep momentum.
What data should employees never put into AI tools?
Unless your policy and tool explicitly allow it, keep out customer personal data, account numbers, passwords, unreleased financials, source code under client contract and anything marked confidential. The program teaches people to mask details, use approved enterprise tools only and check with their data owner when unsure.
Which AI tools does the program cover?
We build the labs on the assistant your organisation has approved, whether that is an enterprise chat assistant, a tool embedded in your office suite or an internal platform. The underlying skills, including prompting, verification and data care, transfer across tools, so teams stay productive as products change.
Can you run generative AI training for teams outside India?
Yes. Our master trainers travel from Bengaluru to deliver in person across the Middle East, Southeast Asia, Australia and other regions, and we run live virtual cohorts for distributed teams. Scenarios can be adapted for global clients and multi-country workforces.