A self-paced online programme from Bodhih for first-time and new people managers. In about 16 hours over 4 weeks you learn to use an AI assistant for planning, delegation, team communication, 1:1s, feedback, reviews and hiring, with clear red lines on every decision about a person.
AI for Managers is a self-paced online certification from Bodhih Training Solutions for first-time and new people managers. Its formal title is Bodhih Applied AI: First-time Managers — Practitioner. Across eight modules and about 16 hours, you learn to use an AI assistant for planning, delegation, team communication, 1:1s, feedback, performance reviews, hiring and team data, while you keep every decision about a person. The course is assessed by a graded eight-asset portfolio and a proctored scenario exam, and re-measured at 90 days.
Tidying an email is safe. A delegation brief, a difficult 1:1 or a performance review is where you need the help, and where a generic draft that sounds nothing like you can do real damage.
Can you paste a team member’s review notes into an assistant? Let it rank CVs? Summarise who is slow to reply? You are guessing, and the guesses are about people’s pay, privacy and dignity.
One person pastes customer data, another trusts every number, a third will not touch it. There is no shared knowledge base, no agreed rules and no point where a human approves the work.
You are in your first few years of leading a team, in any function: customer success, sales, operations, engineering, finance, HR, a contact centre or a store. The programme is built for you first.
You run the rota, the stand-up and the handoffs, and people management is coming. You want the habits of planning, delegating and giving feedback in place before the title arrives.
You know how to run a 1:1 and write a review. What you want is a repeatable, responsible way to use an assistant for that work. The management frameworks will be revision; the AI practice and the red lines will be new.
You promote people into management every year and want evidence that the training changed their work. Company seats come with a baseline, a graded portfolio and a 90-day re-measurement for each manager.
This is not the right course if you want AI strategy for senior leadership or a technical course in building models: it covers one manager’s week with one team, and it needs no coding.
A course records that you watched. This records that your work changed. You finish with eight work products built on your own team, anonymised and graded by a human reviewer on five criteria, plus a capstone plan for your team’s next 90 days. Pass the portfolio and the proctored exam and you hold a verifiable credential, also issued as an Open Badge 2.0.
Ten prompts for the manager tasks you repeat, each written as a six-part brief, with before and after output so you can see what the brief changed.
Quarter goals with an outcome, a measure, an owner and a date, a prioritised week, three delegation briefs with clear authority levels, and a RACI.
A shared Team Brain project with its instructions, knowledge files and a “never” list, plus a team update, an update to your own manager and a change announcement.
A 1:1 template, three SBI feedback scripts, a GROW coaching plan, and the transcript of one hard conversation rehearsed with AI, with your reflection on it.
An anonymised evidence log, one review draft showing your own edits, a bias check and a development plan. The rating stays yours: AI never decides it.
A job description, a structured interview guide with an anchored scorecard, a note on handling candidate data, and a 30-60-90 onboarding plan.
An analysis of team data with one chart and a recommendation to your manager, with two of the numbers checked by hand before you send it.
One recurring manager task automated with approval gates, a team AI charter your people can follow, a risk log, and a pre-send checklist run on a real message.
The programme has 14 stages: a diagnostic, eight modules, a portfolio checkpoint, the graded portfolio, a capstone, a mock and the certification exam. Plan for about 16 hours across 28 days, at your own pace. As you read the stage list, notice which of these you would use with your team this week.
Measured before you start and again on the same instrument at the end, so the change is recorded rather than claimed.
A 30-minute diagnostic: 16 items across the eight domains plus one timed baseline task (a delegation brief, a team update and one piece of feedback, written your usual way). Not scored for the credential — it sets your baseline and is re-run at 90 days.
How a language model uses your request, the six-part brief (RAGCEF), iterating instead of regenerating, and keeping invented facts and people's private details out. Portfolio asset A1: your manager prompt playbook.
Vague asks into quarter goals, a prioritised week, delegation briefs with clear authority levels, RACI and handoffs, and fair workload. Asset A2.
A shared Team Brain project, bottom-line-first updates to your team and your manager, meeting notes with owners and dates, change announcements, and confidentiality. Asset A3.
1:1s that matter, SBI feedback, GROW coaching questions, rehearsing a hard conversation with AI, recognition, and when to involve HR or the Internal Committee. Asset A4.
Submit drafts of assets A1–A4 (anonymised) for coach feedback against the five-criterion rubric. Not scored; one written review within five working days.
Evidence logs, drafting reviews from your own anonymised evidence, bias in reviews, support plans, and why AI never decides a rating. Asset A5.
Job descriptions that attract the right people, structured interviews and anchored scorecards, careful use of AI in screening, 30-60-90 onboarding, and fair hiring. Asset A6.
Asking AI to analyse team data and checking its working, metrics that matter, capacity planning, survey comments, the so-what note, and no surveillance. Asset A7.
Choosing what to automate, Claude Skills and connectors, approval gates and a team AI charter, fairness and dignity, the law at principle level, and the pre-send checklist. Asset A8.
Submit your eight work products here (one combined file or a link to a folder). Eight work products built on your own team, anonymised, each with its evidence. Graded on five criteria (0–4): briefing the AI, output quality and fit for the team, evidence and accuracy, judgement, fairness and responsibility, team and business value. Each asset ≥ 12/20 with no criterion at 0; weighted portfolio ≥ 70%. One resubmission per asset.
Three workflows for your team, each with an owner, a metric with a baseline, the main risk and its control, the training needed and where a human approves — presented to your coach or your own manager. Reviewed with the portfolio.
Forty scenario items, sixty minutes, exam conditions without proctoring. Drawn from the mock pool only — nothing here appears in the final.
Forty items, sixty minutes, proctored (tier 1). Pass: 70% overall and at least 60% in every domain. One free retake after seven days. The credential is issued when both the exam and the portfolio pass.
Finishing this pathway issues a credential backed by the evidence you produced along the way. It is verifiable by link and is also issued as an Open Badge 2.0, so an employer can check it without taking your word for it.
Turn a vague ask from above into quarter goals and a prioritised week. Write delegation briefs that state the outcome, the deadline and how much authority the person has, then check the workload is fair.
Write bottom-line-first updates to your team and to your own manager, meeting notes with owners and dates, and change announcements. A shared Team Brain keeps the answers consistent and the confidential things out.
Prepare 1:1s that matter, draft feedback in the SBI format, build GROW coaching questions and rehearse a hard conversation before you have it. You also learn when to stop and involve HR or the Internal Committee.
Keep an evidence log through the year and draft reviews from your own anonymised evidence. Check the draft for bias, write a support plan, and keep the rating as your decision.
Write job descriptions that attract the right people, run structured interviews with anchored scorecards, use AI carefully in screening, and give each new joiner a 30-60-90 plan.
Ask an assistant to analyse team data and check its working. Plan capacity, read survey comments, write the so-what note, and automate one weekly task with a human approval step and no surveillance.
Want the detail before you decide? Read the guide: AI for new managers: running your team’s week with an assistant, and the lines you never cross.
| What is compared | A typical AI course | AI for Managers at Bodhih |
|---|---|---|
| What it is about | AI concepts, a tour of tools and prompt tips that apply to any job. | The first-time manager’s week: plan, delegate, update, run 1:1s, give feedback, review, hire and decide. |
| What you work on | Sample exercises that are the same for every learner. | Your own team’s work, anonymised, in every one of the eight portfolio assets. |
| How skill is proved | Attendance, or a short quiz at the end. | A portfolio graded by a human reviewer on five criteria, plus a proctored 40-item scenario exam. Both must pass. |
| Decisions about people | Often left out, or covered as a general ethics slide. | Red lines in every module: AI never decides a rating or a hire, no sensitive personal details go in, and no surveillance. |
| After the last lesson | A certificate of completion. Nothing checks whether your work changed. | A diagnostic baseline at the start and a re-measurement at 90 days that includes your own team’s view. |
| The credential | A PDF that records you finished. | A verifiable credential, also issued as an Open Badge 2.0, earned on graded work. |
Straight answers on time, price, tools and the credential. If yours is not here, ask us and you will have a reply the same working day.
Yes. AI for Managers is an online certification course from Bodhih Training Solutions, a Bengaluru corporate training company working since 2008. The course is built for first-time managers, new people managers and team leaders in any function. It is self-paced, takes about 16 hours, and ends in a graded portfolio, a proctored exam and a verifiable credential. Individuals in India can pay by UPI, card or netbanking.
No. The AI for Managers course is built for first-time and new people managers, and an experienced manager who is new to AI benefits too. Its examples follow a new manager’s week: planning, delegation, updates, 1:1s, feedback, reviews and hiring. If you have managed for years, the management frameworks will be familiar, while the AI practice, the Team Brain, the team AI charter and the red lines on people decisions will be new.
The AI for Managers course takes about 16 hours in total, and most learners should plan for 28 days, or roughly 4 weeks. That time covers a 30-minute diagnostic, eight modules of 60 to 75 minutes each, the portfolio work on your own team, a capstone plan, a 60-minute mock and the 60-minute certification exam. The course is self-paced, so you can move faster or slower.
The AI for Managers course costs ₹7,999 plus GST for an individual, with 18% GST added for Indian billing addresses. That price covers the diagnostic, all eight modules, portfolio grading, the mock, the certification exam and the credential. You pay online by UPI, card or netbanking, get access the moment payment is confirmed, and receive a GST invoice. The company price is ₹6,499 per seat for companies.
No. The AI for Managers course needs no coding and no technical background. Everything is done in plain language with an AI assistant: writing briefs, checking output, building a shared team knowledge project and setting up one simple automated task. What you do need is a team, or work you lead, to build the portfolio on. The portfolio is graded on judgement and fit for your team, not on software skill.
The labs in the AI for Managers course are written for Claude, using Projects, Skills, connectors and file analysis. Every principle is taught tool-agnostically, so someone using ChatGPT, Microsoft Copilot or Gemini can still do the work. If your company has approved one assistant, you can complete the portfolio in that assistant, following the same briefing, checking and approval steps the modules teach.
The AI for Managers certification is assessed in two parts, and both must pass. The portfolio of eight work products is graded by a human reviewer on five criteria, with each asset needing at least 12 out of 20 and the weighted portfolio at least 70%. The certification exam is 40 scenario items in 60 minutes, proctored, with a pass mark of 70% overall and at least 60% in every domain.
Yes. The AI for Managers credential is verifiable and is also issued as an Open Badge 2.0, so an employer can check that it is genuine. The credential is issued only when both the graded portfolio and the proctored exam pass, with assessment run on AssessAll, Bodhih’s sister assessment platform. Its formal title is Bodhih Applied AI: First-time Managers — Practitioner. It is a professional credential, not a university degree.
Yes. Companies can buy seats on the AI for Managers course at ₹6,499 per seat for companies, which is lower than the individual price. Each manager gets the same diagnostic, modules, graded portfolio, exam and 90-day re-measurement. Companies that prefer a facilitated format can ask for an in-house workshop, which has no public price. The Bodhih team can be reached at solutions@bodhih.com or +91 99000 11601.
It can be, if the manager keeps the decision and protects people’s data, and that is what the AI for Managers course teaches. You draft from your own anonymised evidence, check for bias, and never let AI decide a rating or a hire. The course covers laws such as the DPDP Act and POSH at principle level only. It is not legal or professional advice, and your company’s policy comes first.
The best way to learn AI as a new manager is to practise on your own team’s real work, get that work reviewed by a person, and check later whether the habit held. Look for a course that covers people decisions and privacy, not only prompts. The AI for Managers course from Bodhih meets these points with a graded portfolio, a proctored exam and a re-measurement at 90 days.
You can write them the way you do now, or with a method you have practised and had graded. The course is ₹7,999 plus GST, about 16 hours at your own pace, and access opens the moment payment is confirmed. When you enrol today, start with the 30-minute diagnostic so your baseline is on record before the first module.
Starting records where you stand today. That baseline is what the re-measurement is compared against, and it is never rewritten afterwards.
Eight HR work products built with AI on your own work, a proctored exam and a credential anyone can verify.
Eight graded work products from your own accounts, a proctored exam and a credential anyone can verify.
An examined, working understanding of AI and machine learning. No coding.