Certification in AI & ML (Accelerator)
Production-grade SQL, deep Python and pandas, statistics, and a real-world capstone. The professional foundation that gets you operating independently before you enter the AI/ML series - certified by IIT Patna's Vishlesan i-Hub.
Learning Mode Online
Course Duration 4 Months
Time Commitment 10 Hrs/Week
5.3K+ students have already registered
Why choose this course?
Prestigious certification from Vishlesan i-Hub, IIT Patna
Real world capstone projects designed to solve practical challenges
Learn from IIT faculty & industry experts bringing real-world insights to your learning journey.
Placement assistance, resume reviews, coaching(Eligibility: 7 CGPA, 65% attendance)
*Certificate Eligibility: Minimum 65% overall attendance and 30% marks in cumulative evaluations score
What will you learn?
A professional-grade foundation program for those who want to move faster and go deeper before entering the AI/ML series. SQL at production depth, Python at analytics scale, and the communication skills to operate independently as a data practitioner.
Meet our Instructor Team
Megna Roy
Data Scientist, Google
Megna Roy is a data analytics specialist and mentor known for transforming complex data into actionable insights and guiding professionals in their data careers, with experience at companies like Uber.
Sharon Suresh
Engineering Analyst, Google
Sharon Suresh is a Growth & Partnerships professional with experience in business analysis and data-driven roles, having worked across companies like Porter, Airmeet and Google.
Subbu Padmanabhan
Engineering Lead, Nomia
Engineering leader with 10+ years’ experience of development leadership and management. A developer and builder at heart. Love to lead and work with lean/high performing teams and once in a while dirty my hands together with them.
Vipul Mishra
Associate Director Data Science, kipi.ai
17+ years’ experience in analytics domain including 10+ in Data Science and AI. Good command in LLM, Agentic AI, AI solution strategies, AI Roadmap, AI consultation, Deployment, Governance, visualization, Machine Learning Techniques & its lifecycle, Deployment frameworks and post model deployment. Ability to apply AI techniques to solve real world industry complications
Megna Roy
Data Scientist, Google
Megna Roy is a data analytics specialist and mentor known for transforming complex data into actionable insights and guiding professionals in their data careers, with experience at companies like Uber.
Sharon Suresh
Engineering Analyst, Google
Sharon Suresh is a Growth & Partnerships professional with experience in business analysis and data-driven roles, having worked across companies like Porter, Airmeet and Google.
Subbu Padmanabhan
Engineering Lead, Nomia
Engineering leader with 10+ years’ experience of development leadership and management. A developer and builder at heart. Love to lead and work with lean/high performing teams and once in a while dirty my hands together with them.
Vipul Mishra
Associate Director Data Science, kipi.ai
17+ years’ experience in analytics domain including 10+ in Data Science and AI. Good command in LLM, Agentic AI, AI solution strategies, AI Roadmap, AI consultation, Deployment, Governance, visualization, Machine Learning Techniques & its lifecycle, Deployment frameworks and post model deployment. Ability to apply AI techniques to solve real world industry complications
*Note: Instructors teaching your batch may change based on specific module expertise, or circumstances such as personal emergencies, unavailability etc.
Course Details
Data & SQL Foundations
- Build strong SQL from the ground up - relational modeling, complex JOINs, window functions, CTEs, indexing, and query performance for real analytics work
- Go deep on Python for analytics at scale - not just scripting basics, but pandas deeply: cleaning, merging, reshaping, group operations, and reproducible notebook workflows
- Develop NumPy fluency for numerical work and build the kind of clean, documented Python code that holds up when someone else inherits it
- Master Excel as a professional tool - pivot tables, XLOOKUP, conditional logic, named ranges, and charting for fast, no-code answers alongside your scripting work
- Leave this module able to pull, clean, reshape, and analyse data from any source at a level that qualifies as professional analytics output
Statistics & Visualisation
- Learn the statistics that drive real decisions - distributions, variance, probability, and statistical inference applied to business problems, not textbook exercises
- Understand why statistical rigour matters before any ML model: the ability to interrogate your data is what separates analysts from people who just run queries
- Build dashboards and charts that communicate findings clearly - chart selection, Tableau basics, interactivity, and the visual principles that make analysis actionable
- Know which visualisation to reach for and why - because the wrong chart can obscure the finding even when the underlying numbers are correct
Insight Communication & Business Analysis
- Translate data into decisions - frame a finding clearly, write a one-page summary a non-technical stakeholder will act on, and structure analysis that drives outcomes
- Learn business analysis fundamentals: stakeholder mapping, requirements gathering, and writing KPIs that measure what the business actually cares about
- Build the communication layer that separates strong analysts from great ones — because the best analysis is worthless if the decision-maker cannot understand it
- Develop the professional fluency to work effectively with product, business, and engineering teams — a skill the AI/ML programs above will expect you to already have
Applied Analytics - Domain Capstone
- Apply the full stack - SQL, Python, statistics, and visualisation — to a real domain case in E-commerce, Fintech, or Marketing with a single end-to-end deliverable
- Go from raw data to a structured, decision-ready insight using the professional Python and analytics workflows built across this program
- Build a portfolio piece that demonstrates you can operate as an analyst independently — the proof you are ready to enter the AI/ML programs above
- Graduate with the technical depth, analytical rigour, and communication skills that the next level of this series is built on top of
Please Note :- "Due to the evolving nature of the industry expectations and partner institute feedback, some syllabus aspects may change. Any updates will be communicated during the Inauguration Session(s) or at the start of the relevant module"