Gen AI Course in Bangalore with Pay After Placement

The BrowseJobs Google Business Profile shows 4.9 from 473 reviews. That figure is the business listing, captured 8 Oct 2026. It is not a rating BrowseJobs calculated for this course. Read the Google listing.

Based on BrowseJobs internal data. Historical figures — not a promise of individual outcome. Hiring depends on the live market and your performance.

Registration of ₹30,000 covers the course. It is not a promise of a job. Pay after placement is three months of the CTC on the offer you accept, charged in EMIs only after you accept that offer. The full fee page is Pay after placement.

This is the Gen AI course page. Six months, in Bangalore: the Whitefield classroom and the same class live online. The published modules are Python, large language models, retrieval-augmented generation, and AI agents. A topic that is not in that list is not claimed here.

Registration is ₹30,000 and it covers the course. Pay after placement is three months of the CTC on the offer you accept, charged in EMIs only after you accept. The Agentic AI course lists the same four modules under its own name at /courses/agentic-ai-course.

The classroom is Aashvi, 3rd Floor, Whitefield Channasandra Main Road, Whitefield, Bengaluru, Karnataka 560066. The phone is +91 79755 54666. Founder: Dr Krish Bharggav. The Bangalore search URL /gen-ai-course-bangalore canonicalises here so the two addresses do not compete. The India page stays separate.

Only the modules named by Dr Krish Bharggav are listed. A topic that is not in this table is not something this page claims you will be taught.

1. Month 1 — Python. Python is the first month because the rest of the course is written in it. You learn the language well enough to read a short program, change it, and explain what it did. This is not a survey of every Python library. It is the base the later months stand on.
2. Month 2 — Python, continued. The second month stays with Python. You practise the parts you need before a model is involved: organising a program, handling data you can inspect, and saying clearly what the code is for. Nothing is added here that Krish has not named.
3. Month 3 — Large language models. Large language models, the LLMs in the syllabus, are the third month. You learn what you are calling, what a prompt is asking the model to do, and how to judge an answer instead of pasting it. The month stays inside that topic.
4. Month 4 — Retrieval-augmented generation. RAG is retrieval-augmented generation. The month is about grounding a model’s answer in documents you provide, so the answer can be checked against a source. You build that loop in Python and you can explain where the text came from.
5. Month 5 — AI agents. An AI agent, in this course, is a program that uses a model to take more than one step toward a goal. You build a small agent and you can say what it is allowed to do. The month does not add tools beyond Python, LLMs, RAG and agents.
6. Month 6 — Project and the AI interview. The last month is a project that uses the four named parts together, plus the free AI interview. The project is work you can walk through because you built it. It is not a job you did not have, and it is not placed on a CV as employment.

The next step on this course is the free AI interview at /get-hired, not a seat you pay for first. The clear mark is 75%. Score 75% or above and your CV goes to 3,000 HR recruiters. On BrowseJobs internal data, that score comes with an almost 60% higher chance of an interview call. Below 75%, you get a free counselling roadmap rather than a profile sent out in hope.

A person always releases the offer letter. The interview can rank and explain. It does not hire you, and neither does finishing six months of class. Nobody can guarantee employment. The market decides, and so does your performance. There is no fixed salary on this page.

Based on BrowseJobs internal data. Historical figures — not a promise of individual outcome. Hiring depends on the live market and your performance.

Freshers, and people moving from non-IT work, who can give it six months and can start with Python. The non-IT page is the written test of that fit. Take the free AI interview and the counselling report before you pay. The report is allowed to recommend a different course, or none.

Skip it if you want Excel, SQL and Power BI first. That is Data Analytics. Skip it if a page promises a job in exchange for the fee. This one does not.

Compare three things you can check this week. First, live or recorded: a person teaching a class you can attend is different from a shelf of old videos sold as a batch. Ask which one you are buying. BrowseJobs classes are live, with recordings kept so a missed session is recoverable.

Second, the fee model. Write down what is due before anyone hires you, and what is due only after you accept an offer. Here, ₹30,000 covers the course. Pay after placement is three months of the CTC on the offer you accept, charged in EMIs after that acceptance. A slogan that says the course is free until you are hired is not this model.

Third, the placement terms. Ask what score sends a CV anywhere, what happens below that score, and who is allowed to release an offer. Our answers are the 75% mark, the free counselling roadmap below it, and a person on the offer letter. Do not take a guarantee from anyone, including us. We will not give one.