Move from ad-hoc prompting to a repeatable, responsible AI workflow across briefing, research, brand voice, content, creative testing, lifecycle, analytics and automation. You are measured before you start, at certification and again at 90 days, so the record shows that your work changed.
The AI for Marketing course is the self-paced online programme Bodhih Applied AI: Marketing — Practitioner, provided by Bodhih Training Solutions, Bengaluru. It takes about 16 hours over 28 days and costs ₹7,999 plus GST. Marketers complete a diagnostic, eight hands-on modules, a graded portfolio of eight work products built on their own brand, a capstone plan and a proctored certification exam. Passing both the portfolio and the exam earns a verifiable credential, re-measured at 90 days.
You paste a request, get something fluent and flat, then spend longer fixing the tone than you would have spent writing it. Nobody has written down what your brand voice is in a form an AI assistant can follow.
The copy reads well, the persona looks plausible, the analysis sounds sure of itself. You cannot tell which parts came from your data and which the model made up, so you either check everything or trust too much.
One person has a good prompt saved in a notes file. Another pastes customer data without asking whether they may. There is no shared method, no approval step and no way to show a manager that the work is better.
You write the emails, posts, ads and reports. You want a dependable way to brief AI, edit its output and catch its mistakes before your manager does.
You need the team working from one brand voice, one set of guardrails and one pre-publish checklist, and a 90-day plan with owners and metrics.
You handle several brands and tight turnarounds. The method for voice, content, ad variants and campaign analysis carries from one client to the next.
You are the whole marketing department. You want research, content, lifecycle messages and a weekly report that hold together without hiring for each.
This course is not for you if you want to build or train machine-learning models, or if you want a quick tour of tools with no assessed work; every stage here asks you to produce something on a real brand and have it graded.
A course records that you watched. This records that your work changed. Each module ends in a portfolio asset built on your own brand and graded by a human reviewer on five criteria: briefing the AI, output quality and brand fit, evidence and accuracy, judgement and responsibility, and business value. Pass the portfolio and the proctored exam and you receive a verifiable credential, also issued as an Open Badge 2.0. Picture your next campaign review with these eight on the table.
Ten six-part briefs for tasks you do every week, each with the before and after output, so a colleague can reuse them.
Two evidence-based personas and two competitor teardowns, with every claim tagged as sourced or inferred.
A shared project holding your voice guide, instructions and guardrails, with three test outputs that show it holds before the team uses it.
A calendar, an edited long-form pillar piece, three or more channel versions, a search check, a regional-language plan and the edit trail.
Three or more hypotheses with two variants each, a brief a designer can work from, a fair test plan and a claims check.
A five-step email and WhatsApp sequence for two segments drawn from a CRM export, with a note on consent.
A campaign CSV analysed with the working checked, one chart with one point, and a recommendation written for a CMO.
One weekly task automated with human approval gates, two run transcripts, a risk log and your pre-publish checklist applied to a real piece.
The list below is the live programme, stage by stage: a diagnostic, eight modules, a portfolio checkpoint with written coach feedback, the graded portfolio, a capstone, a mock exam and the proctored certification exam. Most learners finish in about 16 hours across 4 weeks. As you read the module list, notice which of these you would use 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 campaign email and three social posts, 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 prompt, the six-part brief (RAGCEF), iterating instead of regenerating, and catching invented facts. Portfolio asset A1: your prompt playbook.
Voice-of-customer mining, evidence-based personas with every claim tagged sourced or inferred, competitor teardowns with web search, and what data you may paste. Asset A2.
Extract your brand voice, build a shared Claude project with instructions and knowledge files, write guardrails, and test the brain before the team uses it. Asset A3.
Strategy to calendar, long-form with a human edit pass, one idea in five formats, search in the AI era, regional-language adaptation, originality and IP. Asset A4.
Submit drafts of assets A1–A4 for coach feedback against the five-criterion rubric. Not scored; one written review within five working days.
Hypothesis-led ad variants, briefs designers love, AI mockups, fair test design, and ASCI-aware claims and influencer disclosure. Asset A5.
Checkable segments from a CRM export, email and WhatsApp sequences, personalisation without creepiness, and consent under the DPDP Act. Asset A6.
Asking AI to analyse a CSV and checking its working, metrics that matter, charts with one point, the so-what note to a CMO, and attribution limits. Asset A7.
Choosing what to automate, Claude Skills and connectors, human approval gates, bias and representation, the law and the pre-publish checklist. Asset A8.
Eight work products built on your own brand, each with its evidence. Graded on five criteria (0–4): briefing the AI, output quality and brand fit, evidence and accuracy, judgement and responsibility, business value. Each asset ≥ 12/20 with no criterion at 0; weighted portfolio ≥ 70%. One resubmission per asset.
Three workflows for your team with owners, metrics, risks and training, presented to your coach or a peer. 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.
Mine reviews, call notes and survey comments for the customer’s own words, then build personas where each claim is marked sourced or inferred. Run competitor teardowns with web search and learn what data you may paste.
Extract your voice from work you have already published, set it up as a shared Brand Brain with instructions and guardrails, and test it before the team writes with it.
Go from strategy to calendar, write long-form with a human edit pass, turn one idea into five formats, adapt for regional languages, and handle originality and IP with care.
Write variants from a hypothesis instead of at random, brief designers clearly, mock up concepts, design a fair test, and check claims and influencer disclosure against ASCI guidance at principle level.
Build checkable segments from a CRM export, write sequences for each, personalise without becoming creepy, and understand consent under the DPDP Act at principle level.
Ask AI to analyse a CSV and check its working, pick the metrics that matter, write the so-what note, then choose one recurring task to automate with approval gates.
Want the detail before you decide? Read the guide: AI for marketing: 10 workflows that hold up on a real brand.
| What is compared | A typical AI course | AI for Marketing at Bodhih |
|---|---|---|
| Proof of skill | A multiple-choice quiz at the end, or attendance alone. | Eight graded work products plus a proctored 40-item scenario exam. Both must pass. |
| What you practise on | Generic examples and sample brands chosen by the instructor. | Your own brand, your own customers’ words and your own campaign data. |
| Who checks the work | Usually nobody; the quiz is marked automatically. | A human reviewer grades each asset on five criteria, with one resubmission per asset. |
| What you leave with | A certificate of completion. | A portfolio, a team-ready Brand Brain, one automated workflow and a verifiable credential issued as an Open Badge 2.0. |
| Measurement over time | None after the final quiz. | A baseline diagnostic before you start, re-run 90 days after certification. |
| Responsible use | A closing slide on ethics, if anything. | Covered in every module: invented facts, data you may paste, claims, consent, bias and a pre-publish checklist. |
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. Bodhih Applied AI: Marketing — Practitioner, known as the AI for Marketing course, is a self-paced online certification for working marketers. It covers briefing, research, brand voice, content, creative testing, lifecycle, analytics and automation in eight hands-on modules. Learners build eight graded work products on their own brand and sit a proctored exam to earn a verifiable credential.
The best way to learn AI for marketing is to practise on your own brand and have the result checked by someone else. Look for a course that asks for real work, grades it against a published rubric, teaches how to verify AI output, and measures you again later. The AI for Marketing course from Bodhih does this through eight graded assets, a proctored exam and a 90-day re-measurement.
The AI for Marketing course takes about 16 hours of work, and most learners spread it over 28 days, roughly 4 weeks. It is self-paced and online, so you choose the hours. The eight modules run 60 to 75 minutes each; the rest of the time goes on the diagnostic, your portfolio, the capstone, the mock and the certification exam.
The AI for Marketing course costs ₹7,999 plus GST for an individual. The 18% GST applies to Indian billing addresses, and a GST invoice is issued. You can pay online by UPI, card or netbanking, and access starts the moment payment is confirmed. The price is ₹6,499 per seat for companies buying seats for a team.
No. The AI for Marketing course needs no coding and no technical background. Everything is done in plain language inside an AI assistant: writing briefs, uploading a file for analysis, setting up a shared project and configuring one workflow. What you do need is a brand to work on and some marketing material from it, such as past copy and a campaign export.
The labs in the AI for Marketing 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. The method for briefing, checking and editing AI output stays the same whichever assistant your organisation has approved.
Yes, the AI marketing certification is verifiable. The credential is issued through AssessAll, Bodhih’s sister assessment platform, and is also issued as an Open Badge 2.0 that anyone can check. It is a professional credential from Bodhih Training Solutions, a corporate training company working since 2008, and not a university degree or statutory qualification.
The AI for Marketing course is assessed in two parts, and both must pass. The portfolio of eight assets is graded on five criteria scored 0 to 4; each asset needs at least 12 out of 20 with no criterion at zero, and the weighted portfolio 70%. The proctored exam has 40 items in 60 minutes; the pass mark is 70% overall and 60% in every domain, with one free retake after seven days.
Yes. Companies can buy seats on the AI for Marketing course at ₹6,499 per seat for companies, plus GST, and each person works through the same diagnostic, modules, portfolio and exam. Bodhih also runs the programme as an in-house workshop for corporate clients; that has no public price, so talk to us at solutions@bodhih.com or +91 99000 11601.
Yes, at principle level. The AI for Marketing course teaches awareness of consent under the DPDP Act, ASCI-aware claims and influencer disclosure, and what customer data you may paste into an AI assistant. This is working awareness for marketers and is not legal, tax or professional advice; for a specific campaign or data question, your organisation’s legal or compliance team decides.
Ninety days after certification, the AI for Marketing course measures you again. The diagnostic you took at the start is re-run, including the timed baseline task of a campaign email and three social posts. The result is compared with your starting point across the eight domains, which shows whether the change in your work has held.
For ₹7,999 plus GST you get the diagnostic, eight modules, a human-graded portfolio, a capstone plan, a mock, the proctored exam and a credential that links to what you built. Payment is online and access is immediate, so when you enrol today, start with the diagnostic: thirty minutes that show where you stand. Buying for a team? Seats are ₹6,499 per seat for companies, and solutions@bodhih.com answers questions about in-house workshops.
Starting records where you stand today. That baseline is what the re-measurement is compared against, and it is never rewritten afterwards.
Eight graded work products from your own accounts, a proctored exam and a credential anyone can verify.
For first-time and new people managers: run your team’s week with an AI assistant, and keep every decision about a person your own.
An examined, working understanding of AI and machine learning. No coding.