AI Course in Jaipur — Generative AI, RAG and Agents, Live
A live, project-based AI course in Jaipur for developers, B.Tech students and engineering teams. Learn to build real applications on large language models — RAG, LangChain, LangGraph agents and MCP servers — taught online by senior engineers who ship AI systems for clients.
- Live online classes + recordings
- Senior Python developers as mentors
- Certificate with a verifiable ID
Searches for an AI course in Jaipur return a confusing mix: data-science diplomas, machine-learning theory, national brands with no local team and institutes that hide their syllabus. Ezibell Tech is a software company based in Sector 3, Pratap Nagar, Sanganer, Jaipur, and our Ezibell AI Academy teaches one thing clearly: how to build working applications with large language models, taught by the senior engineers who build them for our clients.
To be upfront: we do not teach machine learning or data science. There is no model training, statistics or maths-heavy theory here. Instead you learn the practical engineering that most AI jobs now involve — prompting LLMs reliably, retrieval-augmented generation over your own documents, agents with LangChain and LangGraph, Model Context Protocol servers, evaluations, guardrails and deployment on AWS. Strong Python is the foundation for all of it.
Classes are live online, so you can join from anywhere in Jaipur without a commute, and every session is recorded. Working developers take the 14-week AI Engineer Accelerator on weekends. Students and beginners start with the 20-week Python to AI Launchpad. Developers on AWS add the 12-week serverless and Bedrock programme, and companies can book corporate training. Fees and EMI options are shared on WhatsApp at +91 82097 16316.
What you learn on the AI course
LLM foundations and model choice
How large language models really behave: tokens, context windows, temperature, streaming and multimodal inputs. You benchmark OpenAI, Anthropic Claude, Google Gemini and open-weight models on your own task for cost, speed and quality, so your skills never depend on one vendor.
Prompt engineering and structured outputs
System prompts, few-shot examples, JSON-schema outputs and function calling, with Pydantic validation and automatic retries. You build an information-extraction service that returns validated JSON — the step that turns a chat demo into something software can depend on.
RAG that holds up in production
Ingestion pipelines for PDFs and web pages, chunking strategies, pgvector and Qdrant, hybrid search, re-ranking, citations, conversational memory and multi-tenant access control. You finish with a RAG service that has its own evaluation suite measuring faithfulness and relevance.
LangChain and LangGraph agents
LangChain Expression Language, retrievers, tools and tracing with LangSmith, then stateful agents in LangGraph with persistence, checkpoints, human-in-the-loop approvals and supervisor or swarm multi-agent patterns. You also learn when building without a framework is simpler.
Model Context Protocol (MCP)
Build your own MCP server in Python that exposes tools, resources and prompts over stdio or streamable HTTP, connect it to Claude Desktop, IDEs and LangGraph agents, and learn the authentication and security controls that keep it from leaking data.
Text-to-SQL over real databases
Turn natural-language questions into safe SQL. One of the Accelerator projects is a text-to-SQL assistant over a million-row database, a practical lesson in grounding an LLM in a real schema and checking the SQL it writes.
Evals, guardrails and cost control
Evaluation datasets, LLM-as-judge, regression tests for prompts, tracing with Langfuse and LangSmith, cost and latency dashboards, prompt-injection and jailbreak defences and PII redaction — the work that tells you whether your AI is improving or quietly getting worse.
Shipping AI on AWS, plus a capstone
Serve AI features through FastAPI with streaming, queue long-running jobs, containerise with Docker and deploy with Lambda, Fargate and Amazon Bedrock. A capstone for a real business use case, reviewed by a team lead, ends with a certificate verifiable at /certificates.
Choose your programme
Every track is live, mentor-led and project-based. Tap one for the full syllabus, duration and FAQ.
AI Engineer Accelerator
Fourteen weekend weeks and about 105 live hours on LLMs, structured outputs, production RAG, LangChain, LangGraph agents, MCP, evals and AWS deployment — with five portfolio projects and a team-lead capstone review.
B.Tech students, freshers and beginners with no coding backgroundPython to AI Launchpad
Twenty weeks that build Python properly first, then databases and FastAPI, and finish with Generative AI: calling LLM APIs, embeddings, RAG with citations and LangChain basics in your capstone.
Python developers whose companies run on AWSAWS for Python Developers: Serverless, Containers & Bedrock
Twelve weekend weeks on Lambda, Step Functions, Fargate and Amazon Bedrock — Knowledge Bases, Guardrails, Bedrock Agents and AgentCore — so you can deploy AI agents on AWS, not just prototype them.
Professionals who want a personal AI roadmap1:1 AI Career Mentorship
Four one-hour 1:1 sessions a month with a senior engineer, a roadmap built around your job and goals, reviews on your pull requests and a monthly mock interview. Three months recommended.
CTOs, engineering managers and teams in Jaipur and beyondCorporate AI & Cloud Upskilling
From a 2-day workshop to an 8-week programme, on-site or live online: RAG, LangGraph agents, MCP and AWS Bedrock on your own stack, with GST invoicing and an optional pilot on your data.
AI course vs data science course: which do you need?
These are different careers, and most course listings blur them. A data science or machine-learning course teaches you to train models: statistics, feature engineering, scikit-learn, neural networks and the maths behind them. That path suits analysts and researchers. Our AI course teaches you to build software on top of models that already exist — GPT, Claude, Gemini, Llama — by connecting them to your data, tools and users safely and reliably.
For most developers in Jaipur, the second path is the faster route to AI work, because companies are hiring engineers to add AI features to real products: support assistants, document search, internal agents, automated workflows. Those roles need strong Python, API design, retrieval, evaluation and deployment skills far more than model training. If you are unsure which side you belong on, bring your goals to the counselling call and we will give you a straight answer.
Choosing a generative AI course in Jaipur: what to check
Generative AI changes quickly, so the syllabus date matters more than the brochure. Check that a course covers the tools teams use now — structured outputs, hybrid retrieval with re-ranking, LangGraph for stateful agents, MCP for connecting tools, and evaluation suites — rather than stopping at a chatbot that wraps one API call. Ask whether you will deploy anything, and whether someone experienced will review your architecture rather than just your final screenshot.
Then check the people. Ask who teaches the live sessions and what they have built recently. Ask how the certificate is verified. Treat grand recognition claims with caution: a private training certificate is not a degree or a government credential. Ours carries a unique ID anyone can verify, and its real value is the deployed RAG service, agent and MCP server in your GitHub account that you can walk an interviewer through.
- Is RAG taught with evaluations, not just a demo?
- Are LangGraph agents and MCP servers built hands-on?
- Will you deploy to a cloud platform with monitoring?
- Who reviews your capstone, and what do they do at work?
How the course works
- 1Free counselling call
WhatsApp or call +91 82097 16316. A mentor reviews your Python level and goals and recommends the Launchpad, the Accelerator, the AWS programme or 1:1 mentorship — honestly.
- 2Choose your track
Pick your programme and a batch that fits your week. The current fee, EMI options and the refund and batch-transfer terms are shared in writing before you pay anything.
- 3Live classes with senior engineers
Join live online sessions — weekends for the Accelerator and AWS programme — ask questions in real time and revise from recordings. Doubts between classes go to the private mentor group.
- 4Weekly labs and code review
Each module ends in a lab: a model benchmark, an extraction service, a RAG pipeline, a LangGraph agent, an MCP server. Mentors review architecture and code on your pull requests.
- 5Capstone on a real use case
Scope, build and deploy an AI feature for a real business use case with weekly mentor reviews and an architecture review by a team lead, ending in a demo day.
- 6Certificate and interview prep
Your mentor signs off your work and your certificate is issued with a unique verification ID, alongside the resume and interview preparation your track includes.
Why learn with us
What you’ll work with
What affects the fee and time for an AI course
We share the current fee and EMI options on WhatsApp within a few hours. These factors change the cost and time:
Developers with a year or more of experience can join the 14-week Accelerator directly. Beginners need the 20-week Launchpad first, which covers Python, APIs and an introduction to RAG.
The Accelerator covers LLM application engineering end to end. Adding the 12-week AWS programme takes you into Bedrock, Knowledge Bases and AgentCore in depth.
Cohort batches share mentor time in a small group. 1:1 mentorship is four one-hour sessions a month on your schedule. Corporate training is scoped from a 2-day workshop to an 8-week programme.
Lab usage of LLM APIs costs very little, and we show you free credits, cheaper development models and spending limits. Most AWS labs fit the Free Tier, with billing alarms set in week one.
Run by a Jaipur software company
The academy is run by Ezibell Tech, a software company in Pratap Nagar, Jaipur. Classes are live online, so you can join from anywhere in Jaipur — or anywhere at all.
- Ezibell TechSector 3, Pratap Nagar, Sanganer, Jaipur, Rajasthan 302033
- HoursMon–Fri 9:00–18:00, Sat 10:00–14:00 IST
- Call or WhatsApp+91 82097 16316
- Emailteam@ezibelltech.com
Ai course in jaipur: questions people ask
Do I need to know Python before the AI course?
It depends on the track. The AI Engineer Accelerator expects at least a year as a developer; Python developers fit straight in, and Java, Node, .NET or PHP developers get a fast-track Python bridge in week one. If you have never coded, start with the 20-week Python to AI Launchpad, which teaches Python from zero and ends with Generative AI and a RAG capstone.
How is this different from a data science or machine learning course?
We do not teach data science or machine learning. There is no model training, statistics or heavy maths. Our AI course in Jaipur teaches you to build applications on top of existing large language models — RAG over your documents, LangGraph agents, MCP servers, evals and deployment. If your goal is a data-scientist role, we will say so honestly and suggest you look elsewhere.
Which tools are covered — LangChain, LangGraph, RAG, MCP?
Yes, all of them. You build RAG with pgvector and Qdrant, hybrid search, re-ranking and citations; LangChain pipelines traced with LangSmith; stateful LangGraph agents with human approval steps; and your own MCP server. You also use the OpenAI and Anthropic APIs, Pydantic, FastAPI, Langfuse, Docker and AWS Lambda, Fargate and Amazon Bedrock.
Is the AI course suitable for B.Tech students in Jaipur?
Yes, through the right track. B.Tech students who are new to coding, or who know only a little Python, should take the Python to AI Launchpad, timed around college schedules, with recordings for exam weeks. Students who already code confidently and have built projects can ask about the Accelerator on a counselling call, where a mentor will check your level honestly.
What projects will I build?
On the Accelerator you build a production RAG service with hybrid search, citations and an evaluation suite; a text-to-SQL assistant over a million-row database; a multi-tool LangGraph agent with human approval steps; your own MCP server; and a capstone AI feature for a real business use case, deployed on AWS — all in your own GitHub account.
Is there an AI course for working professionals in Jaipur?
Yes. The AI Engineer Accelerator and the AWS programme run live online on weekends and are built for working professionals. Every session is recorded, doubts go to a private mentor group, and if your company is starting AI projects, many learners bring real work problems — without confidential details — to the capstone or to 1:1 mentorship.
What are the fees and batch timings?
Fees depend on the programme and batch, so we share them on request. WhatsApp or call +91 82097 16316 for the current fee, EMI options and next batch. The Accelerator and AWS programme run on weekends; the Launchpad runs on weekday evenings or weekends. Exact timings are shared before each batch starts, and refund and transfer terms come in writing.
Is the AI course certificate recognised?
It is a professional training certificate issued by Ezibell Tech, an MSME (Udyam) and GST registered company, with a unique ID that anyone can verify on our /certificates page. It is not a university degree or a government accreditation. Its real value is the projects behind it and mentors who can vouch for your work.
Find the right AI course for your level
WhatsApp or call +91 82097 16316 with your background and goals. A senior engineer will tell you honestly which track fits, share the current fee and EMI options, and confirm the next weekend batch.