Agentic AI Analytics Course by i-Hub IIT Patna: Curriculum, Fees & Career Outcomes (2026)
If you've searched for an agentic AI analytics course or a data analytics course with AI, you've likely noticed most programs still teach dashboards and SQL the way they did in 2020, with a GenAI module bolted on at the end. Analytics with Agentic AI, delivered by Vishlesan i-Hub Foundation, IIT Patna in partnership with Masai, is built the other way round: AI tools sit inside every month of the curriculum, not just the last one, and the program ends with you running an AI agent over a real, messy dataset.
This is a full breakdown of the course: what you'll learn month by month, who teaches it, what it costs, who it's for, and the questions people actually ask before applying.
What is the Analytics with Agentic AI course?
Analytics with Agentic AI is a 6-month, live, online business analytics certification from Vishlesan i-Hub Foundation, IIT Patna. It teaches SQL, Python, Power BI and Tableau alongside AI-native skills: using LLMs as an analysis partner, retrieval-augmented generation (RAG) over business documents, and agentic analytics workflows. Classes run on weekends, with a weekly time commitment of 8-10 hours. The program costs ₹57,000 + 18% GST and leads to a Certificate of Completion from IIT Patna's Vishlesan i-Hub. Admissions for Cohort 1 are open, with classes starting November 14, 2026.
Fast facts:
Why this course exists: The gap it's built to close
Most business analytics courses online still teach SQL and Excel as standalone skills, then treat "AI" as a single add-on chapter. But the analyst role itself has changed: companies now expect analysts to use AI copilots to write and check code, to run retrieval over internal documents instead of digging through folders, and increasingly to supervise AI agents that complete multi-step analysis tasks.
Analytics with Agentic AI is structured around that shift. Every month carries what the program calls a "running thread": one AI-integrated exercise each week, a project published to your portfolio, and a weekly business-case drill. AI isn't a separate unit; it's woven through SQL, Python, BI and experimentation from month one.
Who is this Agentic AI analytics course for?
The program is built around three persona tracks, chosen in the final month, so it serves three different kinds of learner from a shared foundation:
- Freshers and career switchers aiming for a first analyst role
- Working professionals in Marketing, Finance, Product, Ops or HR who want to apply analytics inside their current function
- Managers and team leads who need to run data teams and make AI tooling decisions, not just read dashboards
If you're searching for a data analytics course for working professionals, the weekend-only schedule and the Domain Accelerator track (below) are built specifically for this group.
Full curriculum: month-by-month breakdown
The program runs for 6 months. Months 1-5 build a shared foundation; month 6 splits into three specialist tracks before everyone converges on one capstone.
Month 1: Business Problem Solving & Data Foundations
Learn to think like an analyst before you touch a tool: problem framing, metric trees and KPI design, plus Excel/Sheets (lookups, pivots, what-if and scenario modeling), decision statistics (distributions, sampling, confidence intervals), and using an LLM as an analysis thought partner.
- Project: A business health diagnostic on a real company
- Tools: Excel, Google Sheets, ChatGPT
- Skills gained: Problem framing, KPI design, Excel & Sheets, scenario modeling, statistics
Month 2: SQL & Working with Real Data
SQL from first principles to window functions on real schemas, covering joins, fact-vs-dimension tables, and cohort, funnel and retention queries, plus AI-assisted SQL with verification and an introduction to the DPDP Act's data-ethics requirements.
- Project: An e-commerce analytics case solved entirely in SQL
- Milestone: Micro-credential - SQL for Analytics
- Tools: MySQL, BigQuery, AI-assisted SQL
- Skills gained: SQL, window functions, BigQuery, funnels & retention, DPDP data ethics
Month 3: Python for Analytics (AI-Copilot Native)
Python fundamentals learned alongside AI copilots, plus Git/GitHub basics, pandas, exploratory data analysis and visualization (matplotlib/seaborn), data wrangling, automating repetitive reporting, and pulling data through APIs, with explicit practice reading and validating AI-generated code rather than trusting it blindly.
- Project: A fully automated weekly business report
- Milestone: Mid-course checkpoint and mentor review
- Tools: Python, pandas, GitHub
- Skills gained: Python, pandas, EDA, matplotlib/seaborn, APIs, AI copilots
Month 4: Experimentation, BI & Executive Communication
Turning analysis into decisions: hypothesis testing and A/B test design, reading experiments critically, Power BI (data modeling, DAX, dashboards, generative BI Copilot and natural-language querying), a Tableau orientation, and data storytelling for leadership audiences, including AI-assisted visualization and slide generation.
- Project: An executive dashboard plus a boardroom presentation
- Milestone: Micro-credential - BI & Data Storytelling
- Tools: Power BI, Tableau, Copilot
- Skills gained: A/B testing, Power BI, DAX, Tableau, data storytelling
Month 5: AI-Native Analytics
This is where the course earns its name. Applied machine learning (regression, classification, clustering, forecasting and AutoML), GenAI workflows (RAG over business documents, analyzing unstructured data, prompt pipelines), and agentic analytics (multi-step agents, hallucination checks, human-in-the-loop review).
- Project: An AI-powered insight engine built on a deliberately messy dataset
- Milestone: Capstone proposal gate
- Tools: scikit-learn, OpenAI, LangChain
- Skills gained: Applied ML, AutoML, RAG, GenAI workflows, agentic analytics
Month 6: Persona Track + Final Capstone
Everyone chooses one of three tracks, then ships a single end-to-end capstone: SQL → Python → ML/GenAI → dashboard → executive presentation, defended at a public Demo Day.
Track A - Career Launch (for freshers and career switchers): portfolio polish, resume and LinkedIn revamp, mock interviews, a job-search sprint.
Track B - Domain Accelerator (for working professionals): a deep-dive in your function,a Marketing, Finance, Product, Ops or HR - with domain metrics playbooks and an applied project in your own role.
Track C - Analytics Leadership (for managers and team leads): building and running data teams, buy-vs-build decisions for AI tooling, AI strategy and governance, and experimentation culture.
You finish with a portfolio of projects, the capstone, a public Demo Day presentation, and an AI-Augmented Analyst credential alongside your main certificate.
Skills you'll walk away with
Grouped by theme, since this is what recruiters search for and what you should list on your resume:
- Core analytics: SQL (including window functions), Python, pandas, Excel/Sheets, statistics and A/B testing
- BI and visualization: Power BI with DAX, Tableau, generative BI Copilot, data storytelling
- AI-native skills: prompt pipelines, RAG over business documents, applied ML and AutoML, agentic analytics with hallucination checks and human-in-the-loop design
- Business skills: problem framing, KPI design, metric trees, executive communication
- Functional depth (Track B): domain metrics playbooks in Marketing, Finance, Product, Ops or HR
Who teaches the course
The program is led by IIT faculty and practicing data and AI leaders, including:
- Saurabh Kango - AI Programs at Meta, previously at Meesho, LinkedIn and Airbnb; built ML forecasting at LinkedIn that lifted sales accuracy by 35%; MBA from IIFT
- Sumit Shukla - Director of AI at Scaletrix.AI, a GenAI educator with 20,000+ hours of instruction across platforms including upGrad and Masters' Union; M.Sc. from IIT Kanpur
- Prof. Abhinava Tripathi - Professor at IIT Kanpur, Finance and Banking
A rotating roster of masterclass mentors also contributes across the cohort, with past and current professionals from Google, Microsoft, Amazon, Uber, PayPal, Meta, Flipkart and Nvidia.
Campus immersion and network
Alongside the online classes, the program includes an on-campus immersion at IIT Patna, where you connect with faculty and peers and take part in collaborative capstone discussions. Masai frames this as part of what a screen-only course can't teach: a cohort and alumni network that keeps working for you after the program ends.
Certificate and credential
On completion, you receive a Certificate of Completion from Vishlesan i-Hub Foundation, IIT Patna, issued as a verifiable, shareable digital certificate you can add to LinkedIn and your resume. The certificate requires a minimum of 65% overall attendance and 30% marks in cumulative evaluations.
Graduates who complete the Career Launch or Domain Accelerator tracks also receive an AI-Augmented Analyst credential tied to the capstone.
Placement Assistance
Masai provides 1 year of placement assistance, including resume review and interview coaching, for learners who meet the eligibility bar of 7+ CGPA and 65% attendance. Track B (Domain Accelerator) learners get a domain-specific career coach as part of the program.
Fee Structure (Cohort 1)
The course costs ₹57,000 + 18% GST, broken into three parts:
Payment options
- Upfront payment: ₹63,260 (inclusive of GST) - the best-value option
- EMI via NBFC partners: ₹11,809/month × 6 months (inclusive of GST)
The program fee is refundable according to Masai's Refund & Withdrawal Policy. The cohort is capped at 100 seats, and the fee page notes that everything is included - certification, live classes plus recordings, mentor masterclasses, the Masai network, a domain-specific career coach, the Build Week and capstone, and the alumni network, with no hidden add-ons.
Eligibility and Admission Process
Admission follows three steps:
- Submit your application - tell the program who you are and what you want to build
- Selection call - only shortlisted candidates are invited
- Offer and enrolment - accept your seat and choose a payment plan
Classes begin on November 14, 2026 for Cohort 1. Because the cohort is capped at 100 seats, the program notes that admission is ongoing and seats fill in order, so applying earlier improves your chances.
How it compares to a typical Data Analytics course
Is this course worth it? honest trade-offs
Strengths
- AI-native from month one, not bolted on at the end, directly answers the "agentic AI analytics course" search intent
- Live weekend classes suit working professionals without disrupting weekday jobs
- Three persona tracks mean the final month is relevant whether you're a fresher, a professional applying analytics to your function, or a manager
- Mentors and masterclass faculty come from Meta, Microsoft, Amazon, Google and similar companies
- A single, defensible capstone (SQL → Python → ML/GenAI → dashboard → presentation) rather than disconnected exercises
Watch-outs
- Admission is selective and the cohort is capped at 100 seats, so a seat isn't guaranteed
- It's a paid, fixed-schedule program, so it needs steady weekend availability for 6 months
- It's a certificate of completion, not a university degree
- Placement assistance and the career coach carry their own eligibility bar (CGPA and attendance), so check you can realistically meet it
Frequently Asked Questions
What is the Analytics with Agentic AI course? It's a 6-month, live online business analytics certification from Vishlesan i-Hub Foundation, IIT Patna, delivered with Masai. It combines core analytics skills (SQL, Python, Power BI, Tableau) with AI-native skills (RAG, GenAI workflows and agentic analytics).
What is the duration of the program? The program runs for 6 months, with a weekly commitment of about 8-10 hours, designed so you can learn alongside a full-time job.
What is the mode of delivery? Classes are conducted online and scheduled on weekends. The detailed schedule is shared on Day 1 of the program.
Who teaches the classes? Sessions are led by IIT Patna faculty with expertise in Business Analytics, alongside practicing data and AI leaders from companies including Meta, Microsoft and Amazon.
What is the total fee, and are there payment plans? The total fee is ₹57,000 + 18% GST (around ₹63,260 upfront, inclusive of GST). An EMI option through NBFC partners spreads the cost as ₹11,809/month over 6 months.
Is the course fee refundable? The ₹99 application fee and ₹4,000 registration fee are non-refundable. The ₹53,000 program fee is refundable as per Masai's Refund & Withdrawal Policy.
Who is this course for? Three groups: freshers and career switchers aiming for a first analyst role, working professionals who want to apply analytics in their function (Marketing, Finance, Product, Ops or HR), and managers or team leads who need to run data teams and make AI-tooling decisions.
Do I need a coding background to join? The program starts from spreadsheets, statistics and problem framing in Month 1 before introducing SQL in Month 2 and Python in Month 3, so no prior coding background is assumed.
What will I build during the course? Six projects across the program: a business health diagnostic, an e-commerce SQL analytics case, an automated weekly business report, an executive dashboard with a boardroom presentation, an AI-powered insight engine on a messy dataset, and a final capstone presented at a public Demo Day.
What certificate do I receive? A verifiable, shareable Certificate of Completion from Vishlesan i-Hub Foundation, IIT Patna, requiring at least 65% attendance and 30% marks in cumulative evaluations. Career Launch and Domain Accelerator graduates also receive an AI-Augmented Analyst credential.
Does the program include placement support? Yes. Learners meeting the eligibility bar (7+ CGPA, 65% attendance) get 1 year of placement assistance, including resume review and interview coaching. Domain Accelerator track learners additionally get a domain-specific career coach.
When does the next batch start? Cohort 1 begins on November 14, 2026. The cohort is capped at 100 seats, and admission is first-come, first-served among shortlisted applicants.
How is this different from a regular data analytics course? Most analytics courses treat AI as an add-on module. This program integrates AI tools, copilots, RAG and agentic workflows, into every month, and ends with a capstone that explicitly includes an AI-native analytics stage, not just BI and SQL.
How to apply
- Submit your application through the program page
- Attend a selection call if shortlisted
- Accept your offer, choose upfront or EMI payment, and secure your seat
- Join your first live session on November 14, 2026
Explore Analytics with Agentic AI and apply
Program details, curriculum, fees and batch dates w,ere checked on the official program page on September 19, 2026 and can change. Confirm current admission status, the next batch date and fee structure on the program page before you apply.