“I use an AI assistant daily, but I cannot say why it gets things wrong.”
The answer reads well, so you paste it in. Sometimes a figure or a reference turns out to be invented, and you have no way of telling in advance which answers to check.
AI ML certification for beginners · Level 1 · No coding
Bestseller
The AI and machine learning foundations course that ends in an exam, not a playlist
You have used an AI assistant. This course takes you from there to an understanding you can defend: how models learn, how generative AI produces an answer, where both fail, and how to use them responsibly at work. About 12 hours, self-paced, then a certification exam.
- A 40-question diagnostic that shows where you stand across six domains before you study anything
- Six no-code modules, from what machine learning is to how large language models work and how to use AI responsibly
- Two mock exams with a report listing the lessons to revisit, then a 60-question certification exam
- A verifiable credential, also issued as an Open Badge 2.0, and a re-measurement 90 days later
12 hoursOf work, online
4 weeksAlongside your job
6 modules10 stages in all
CredentialVerifiable by link
What is the AI/ML Foundations course?
AI/ML Foundations is a self-paced online AI and machine learning foundations course from Bodhih Training Solutions, Bengaluru. It is Level 1 of the Bodhih AI/ML certification and needs no coding. Over about 12 hours you take a diagnostic, study six modules covering machine learning basics, data, model evaluation, generative AI, responsible use and AI at work, sit two mock exams, and then sit a 60-question certification exam under exam conditions. Passing earns a verifiable credential.
Interest
You use AI every week. Could you explain how it works?
“In meetings about AI, I nod at words I could not define.”
Training data, overfitting, precision, hallucination, retrieval. Colleagues and vendors use these terms freely, and you are approving budgets or plans that depend on them.
“I am not sure what I am allowed to put into an AI tool.”
Customer data, a contract, source code, a salary sheet. Your organisation may have an AI policy, but nobody has walked you through what it means for the work on your desk.
Who it is for
An AI course for beginners and working professionals, coders or not
Non-technical professionals
People in operations, HR, finance, sales or support who want AI explained properly, without Python and without being talked down to.
Engineers, analysts, product and QA people
Technical staff who have not studied machine learning formally and want the shared vocabulary before they start building.
Managers and team leads
People who choose use cases, brief data or ML teams, and sign off on work that an AI system helped produce.
Companies building AI literacy
Organisations that want every employee to hold the same examined baseline. Seats are ₹7,500 per seat for companies.
Desire
What you can do and explain after the AI fundamentals certification
A course records that you watched. This records that your understanding was examined: one domain at a time, with a pass mark in every one. These are the six abilities the certification exam tests, and the credential names them.
Say what AI and machine learning are, and are not
You can explain the kinds of learning, where machine learning fits among ordinary software, and what it cannot do, in words a colleague would follow.
Trace a model’s faults back to its data
You can ask the right questions about data quality, labelling, bias, privacy and splits, and explain why a model inherits the faults of what it was trained on.
Judge whether a model is any good
You can explain training, overfitting and baselines, and say why accuracy alone is often the wrong number to trust.
Explain how a large language model produces text
You can describe how an LLM generates an answer, write prompts that work, recognise hallucination, and explain retrieval in one picture.
Use AI responsibly and safely
You can weigh risk, fairness, intellectual property and confidentiality, keep a human in the loop, and read your organisation’s AI policy closely.
Work with AI, and with the people who build it
You can choose a sensible use case, read a model’s output critically, and brief and question a data or ML team.
Curriculum
AI ML course for beginners: the 10 stages, in order
The list below is the live programme: a diagnostic, six modules, two mock exams and the certification exam. It takes about 12 hours over roughly 4 weeks at your own pace. As you read the module list, notice which topics you already use at work without being able to explain them.
What you will be able to evidence
- CAP.AI.FOUNDwhere you are→Applying
- CAP.AI.DATAwhere you are→Applying
- CAP.AI.MODELwhere you are→Applying
- CAP.AI.GENAIwhere you are→Applying
- CAP.AI.RESPwhere you are→Applying
- CAP.AI.WORKwhere you are→Applying
Measured before you start and again on the same instrument at the end, so the change is recorded rather than claimed.
- 01Diagnose
Where you stand today
A 30-minute diagnostic: 40 questions across the six domains. Not scored for the credential — it sets your baseline, shows which modules to spend time on, and is re-sat at 90 days.
- 02Learn
1 · What AI and machine learning are - and are not
Kinds of learning, where ML fits among other software, what it cannot do, and the vocabulary the rest of the programme uses.
- 03
What you will practise
What the AI literacy course covers, topic by topic
Introduction to AI and machine learning
Supervised, unsupervised and reinforcement learning in plain language, and how machine learning differs from software written as rules.
Machine learning basics: data and bias
How data is collected, labelled and split, where bias enters, and what privacy means for the data a model is trained on.
How models are trained and evaluated
Training, overfitting and baselines, and how to choose between accuracy and other measures when the cost of each kind of error differs.
Generative AI fundamentals: how LLMs work
How a large language model produces text, why it can sound confident and be wrong, prompting that works, and retrieval in one picture.
Responsible AI basics
Risk, fairness, intellectual property, confidentiality and human oversight, taught at principle level alongside your own organisation’s AI policy.
AI for non-technical professionals at work
Choosing a use case worth doing, reading an AI output critically before you rely on it, and asking useful questions of the people who build models.
Want the detail before you decide? Read the guide: AI and machine learning explained for working professionals.
The difference
A typical AI course for beginners compared with AI/ML Foundations
| What is compared | A typical AI course | AI/ML Foundations at Bodhih |
|---|---|---|
| Where you start | Everyone starts at lesson one, whatever they already know. | A 40-question diagnostic across six domains sets your baseline and shows which modules need your time. |
| What is covered | Often either prompting tips for one tool or a mathematics-first syllabus that assumes you code. |
Before you enrol
AI/ML Foundations: questions, answered
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.
Is there an AI ML certification for beginners with no coding?
Yes. AI/ML Foundations from Bodhih is an AI ML certification for beginners that requires no coding at all. The course teaches how machine learning and generative AI work at a working level through six modules, then examines that understanding in a 60-question certification exam. You need to be comfortable reading English and using a web browser; you do not need Python, statistics or a technical degree.
How long does the AI/ML Foundations course take?
The AI/ML Foundations course takes about 12 hours in total, and most people spread it over roughly 4 weeks alongside their job. The course is self-paced and online, so you can move faster or slower. The time covers a 30-minute diagnostic, six modules of one to two hours each, two 45-minute mock exams and the 75-minute certification exam.
How much does the AI ML course with certificate cost?
The AI/ML Foundations course costs ₹9,999 plus GST for an individual, with 18% GST applied for Indian billing addresses. You pay online by UPI, card or netbanking, get access the moment payment is confirmed, and receive a GST invoice. The price includes the diagnostic, six modules, both mock exams, the certification exam with one free retake, and the credential. Team seats are ₹7,500 per seat for companies.
How is the AI/ML Foundations certification exam assessed?
The AI/ML Foundations certification exam has sixty questions in seventy-five minutes and is sat online under exam conditions on AssessAll, Bodhih’s sister assessment platform. To pass you need 70% overall and at least 60% in every one of the six domains, so a strong score in one area cannot hide a gap in another. One free retake is available after seven days.
Is the AI/ML Foundations certificate verifiable?
Yes. Passing the AI/ML Foundations certification exam earns a verifiable credential that is also issued as an Open Badge 2.0, so an employer can check that it is genuine instead of taking a PDF on trust. The credential is issued by Bodhih Training Solutions, a Bengaluru corporate training company operating since 2008. It certifies an examined foundation; it is not a university degree or a government licence.
Action
Find out what you actually know about AI, then prove it
AI/ML Foundations is ₹9,999 plus GST, about 12 hours, and open the moment your payment is confirmed. Enrol today and start with the diagnostic: thirty minutes that show you where you stand across all six domains. Then work through the modules, sit the mocks, and take the certification exam when your report says you are ready.
Starting records where you stand today. That baseline is what the re-measurement is compared against, and it is never rewritten afterwards.
Other AI courses from Bodhih
See all AI coursesApplied AI/ML Practitioner course
Level 2: hands-on machine learning and LLM applications in Python, proved by two labs, a reviewed project and an exam.
AI for Sales course
Eight graded work products from your own accounts, a proctored exam and a credential anyone can verify.
AI for Managers course
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.