A self-paced, tool-neutral course for people who connect their apps with a no-code automation platform, or are about to. You follow one self-taught builder, Tavi, through a first year at a fictional company, from a first flow that misfired to one a colleague runs alone, and you do the work alongside: a browser simulation in every module and one page of your own flow’s documentation each time. Imagine taking three weeks of leave and coming back to a flow that kept running. About 11 hours over 56 days.
Bodhih AI Workflow Automation (No-Code) is a self-paced online course for operations, administrative and analyst staff and team leads who build their own automations. Eight 75-minute modules cover choosing and mapping a process, triggers and actions, fields, branches and fallbacks, AI steps with human approval, testing and error handling, access and personal data, and handover. It is tool-neutral, its labs are browser simulations, and it ends in a final quiz and a Bodhih credential with an Open Badge.
Facts on this page last checked by Siddharthan VGJ, Director, Bodhih Training.
Twenty-one hours of nothing. The animated concept video from Module 1 (Choose and map a process worth automating), narrated by a synthetic voice, with captions.
You built a flow from a video and it ran for weeks. Then another app renamed one field, the flow failed with no alert, and a customer told you before the tool did. Most tutorials end at the first green run. Work starts there.
It reads the email, picks a label and drafts a reply. You are no longer certain what it sends, to whom, or how you would know if it were wrong. An AI step needs one bounded job, fixed outputs and a person in the right place.
The flow runs under your own login, the steps are named “Step 4 copy 2”, and you would rather IT did not look too closely. Nobody else could repair it, or even say what it does.
For people whose day is copying between a form, an inbox, a sheet and a system. Module 1 starts one step before any tool: which process is worth automating at all.
For the person a whole office sends its routine requests to. You learn precise triggers, clean fields and a fallback route for the case nobody thought of.
For people who run recurring reports and data pulls. Module 3 covers types, dates, blanks and duplicates, and why two apps can read one exported file differently.
For leads who decide who builds, who checks and who runs a flow when its builder is away. Picture every flow on your team with a second owner and a run sheet.
This course is not for you if you are a software developer, if you want training in one named product’s menus, or if you want AI agents that plan their own steps: that last one is Bodhih Agentic AI for Business.
Four dated statements, each linked to its source and read at the original on 14 November 2026. None of them is a figure for time or money saved: no such figure is promised here.
One major AI builder’s engineering guidance separates workflows, where people fix the path and the AI does a step on it, from agents, where the AI chooses the path, and advises starting with the simplest solution that works.
Anthropic, “Building effective agents” (engineering article; read 14 November 2026), 19 December 2024The US standards institute describes confident, false output as a natural result of how generative models work, and says their use may call for extra human review, tracking and documentation. It is a voluntary framework and gives no rates.
National Institute of Standards and Technology, “Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile”, NIST AI 600-1 (read 14 November 2026), July 2024A security community’s list of the top risks when non-specialists build software, formerly known as the low-code and no-code top ten, has widened to all citizen development, including AI-assisted building. It is a community list, not a regulation.
OWASP Foundation, “OWASP Citizen Development Top 10” (project page; read 14 November 2026), Read 14 November 2026The UK changed its rule on decisions based solely on automated processing in 2025 and 2026: its test now turns on whether there was “meaningful human involvement”. People who build flows that touch customers or staff need to know when to stop and ask. Principle level only; not legal advice.
UK General Data Protection Regulation, Article 22A, on legislation.gov.uk (read 14 November 2026), Read 14 November 2026Each module ends in one page about a flow from your own work: a process map, a trigger sentence, a field passport, a path table, an AI step card, a test pack, an access and data sheet and a run sheet. Notice how each page answers a question a colleague would otherwise have to ask you. What a flow saves depends on your process, so this course promises the method, not a number.
Map a real process on one page and decide, with reasons, whether to automate it, fix it first or leave it alone.
Choose an event, a button or a schedule, order the actions, and trace how each field moves from app to app.
Map fields with the right type and format, and stop bad dates, lost zeros and blanks at the source.
Build routes and loops with no gaps or overlaps, and a fallback for the case nobody thought of.
Give an AI step one job with fixed outputs, allow “not stated”, and put a named person’s approval where the risk is.
Test with normal, edge and broken cases, set error paths and alerts, limit access and secrets, and write a run sheet a colleague can follow.
The pathway runs in order: a baseline assessment, then eight modules (choose and map a process; triggers, actions and data flow; fields, formats and clean inputs; branches, filters, loops and fallbacks; AI steps with human approval; testing, error handling, alerts and logs; permissions, secrets, personal data and shadow automation; document, hand over, measure and maintain), and a final quiz.
Measured before you start and again on the same instrument at the end, so the change is recorded rather than claimed.
The baseline assessment, Form A: 20 scenario questions on all eight competencies, about 25 minutes. It is not pass/fail; it sets your baseline, and you take the parallel form at the end.
Map a process as it is really done, find where the time goes, and decide whether to automate, fix first or leave alone. Video: Twenty-one hours of nothing. Scenario Sim: Which process first?
One trigger, then actions, with each step's output feeding the next. Choose the narrowest trigger and say what must never start the flow. Video: The doorbell and the lookout. Scenario Sim: The first trigger.
Types, dates, blanks and duplicates, six checks on data and a field passport, so that a value means the same thing in every app. Video: Lost in translation. Scenario Sim: The field map.
Filters, conditions, paths and loops, rules without gaps or overlaps, and a fallback for whatever matched nothing. Video: Every door needs an else. Scenario Sim: Four routes and a fallback.
Give an AI step one bounded job: classify, extract, summarise or draft, with fixed fields and a named approver for anything that carries risk. Video: One box on the line. Scenario Sim: The step card.
Normal, edge and broken test cases, a decision in advance for every failing step, alerts a person can act on, and a replay that does nothing twice. Video: The silent weekend. Scenario Sim: Monday, sixty-one stuck.
Whose access a flow uses, where its secrets live, which personal data it moves, and when to involve IT or the data protection lead. Video: The master key. Scenario Sim: The review with Priyanka.
A run sheet of two pages, a named second owner, a register of automations, careful change and honest measures. Video: The bus test. Scenario Sim: Three weeks away.
The final assessment, loaded from Form B: 20 parallel scenario questions on all eight competencies, about 25 minutes. Score 70% or more (3 attempts) for the credential.
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.
Module 1: map the process as it is really done and find the waiting, re-entry and rework. The sim Which process first? gives you four candidates to weigh.
Module 2: events, buttons and schedules, polling and instant triggers, webhooks, and steps that are safe to repeat, practised in The first trigger.
Module 3: types, year-first dates, blanks, duplicates and six checks on data, practised in The field map.
Module 5: classify, extract, summarise or draft, with fixed fields and a named approver, practised in The step card.
Module 6: three piles of test cases, error paths, alerts and replay without duplicates, practised in Monday, sixty-one stuck.
Module 7: service accounts, secrets, personal data and when to tell IT, practised in The review with Priyanka. Principles, not legal advice.
What comes with the course, and what the practice is like.
Which process first?, The first trigger, The field map, Four routes and a fallback, The step card, Monday, sixty-one stuck, The review with Priyanka and Three weeks away. In each you make the builder’s decisions and see what follows. They are browser simulations: no automation platform is opened and no AI model is called.
One short concept video in every module, from Twenty-one hours of nothing to The bus test. They are animations narrated by a synthetic voice, with captions and a transcript.
Every module sets one task on your real work, and each produces one page: process map, trigger sentence, field passport, path table, AI step card, test pack, access and data sheet, run sheet.
Each module ends with checked links to standards bodies, regulators, research papers and platform makers’ own guides. They are links to those sources’ own material, not partnerships or endorsements.
Three complimentary Pro Kits from the Bodhih store, on automating your own job, standard operating procedures and working with an AI assistant without code.
Company seats with reporting on each learner’s progress and before-and-after assessment scores.
Ask about team seats| What is compared | A typical no-code automation course | AI Workflow Automation (No-Code) at Bodhih |
|---|---|---|
| Tools | Built around one or a few named platforms and their menus. | Tool-neutral concepts that carry over when your employer changes platform. No product is taught by name. |
| Where it starts and ends | Starts at the first trigger and ends at the first working run. | Starts with whether the process is worth automating, and ends with a run sheet and a second owner. |
| Failure | Troubleshooting as a short topic, if at all. | A full module on testing, error paths, alerts and logs, and another on access, secrets and personal data. |
| AI inside a flow | Shown as a feature that does more with less effort. | One bounded job, fixed outputs and human approval where the risk is, with plain limits on what to trust. |
| Price and schedule | University-branded cohort courses of about five weeks cost from about US$1,700 to US$2,300 (one such page, read 14 November 2026). Catalogue specialisations sit inside a subscription. Platform makers publish their own product training. | $99, self-paced, start any day. |
| Honest limit | A platform maker’s own training gives hands-on practice in the real product, and a cohort course gives live sessions. | Labs are browser simulations and there are no live sessions. You practise the decisions here and the clicks on your own platform. |
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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.
No. The course is for people who build with no-code automation platforms. You will read a little structured data, and we show you how. You will not write a program.
None by name. It teaches what the leading no-code automation platforms have in common: triggers, actions, fields, conditions, routes, loops, AI steps, approvals, error handling and run history. The words differ a little from one platform to another; the ideas carry over. “Go deeper” links point to platform makers’ own guides.
No. The labs are browser simulations: branching scenarios set in a fictional company, where you make the decisions a builder makes and see the consequences. You need no account on any platform and nothing to install. Each module also sets one task on your own real work. The module videos are animations narrated by a synthetic voice, not filmed lessons.
No. You earn a Bodhih credential with an Open Badge 2.0 that you can share and that anyone can verify. It is Bodhih’s own credential. It is not accredited by an outside body, and we do not claim that it is.
That course is about AI agents that choose their own steps, and how to brief and supervise them. This one is about flows where you fix every step and an AI step does one bounded job, such as sorting or extracting. Many teams need this first.
About 11 hours: eight modules of 75 minutes, a short baseline assessment and a final quiz. It is self-paced. We expect most learners to finish within 56 days.
A Bodhih credential with an Open Badge when you complete all eight modules and pass the final quiz at 70% (three attempts). You will also have eight one-page documents for a flow from your own work, from the process map to the run sheet, and three complimentary Pro Kits.
The course is $99 for an individual and $79 per seat for companies. Until 10 January 2027 the price shown on this page is a launch price, about half the regular price. After that date the regular price applies.
We cannot promise that, and you should be wary of anyone who does. What a flow saves depends on your process. The course teaches you to measure it honestly, including the time people spend checking.
It can be, if the AI step has one bounded job, returns fixed fields, and a person approves anything that carries risk. Module 5 teaches that design, and Module 7 covers access, secrets and personal data. The course is clear about what an AI step should not be trusted to do unchecked.
Yes. Module 7 covers what your IT and data protection colleagues will ask: which account the flow runs as, what it can reach, where secrets are kept and which personal data it moves. It teaches principles, not legal advice, and it tells you when to involve them.
The course is $99 for an individual, or $79 per seat for companies, with three Pro Kits included. The launch price ends on 10 January 2027. You can start today with the baseline assessment and Module 1, where the first question is not how to automate but what. For a team, write to solutions@bodhih.com or call +91 99000 11601.
Starting records where you stand today. That baseline is what the re-measurement is compared against, and it is never rewritten afterwards.
Four hours of hands-on AI literacy for every employee, with a measured before-and-after score.
Use the AI assistant in your office suite for email, documents, spreadsheets, slides and meetings, and check every draft. One switch covers both suites.
Measure your team first, plan each person’s growth after, or bring a trainer or coach in. Bodhih’s sister companies cover the rest of the journey.