Question 1

What is the Data Science with AI & ML program and who is it for?

Accepted Answer

This is Meritshot's flagship 10-month intensive program combining traditional Machine Learning with the latest Agentic AI frameworks. It is designed for working professionals who want to transition into Data Science, AI Engineers, and ML Practitioners who want to upskill to Agentic AI, and fresh graduates with a basic programming background. The program covers everything from Python and SQL foundations all the way to building production-grade autonomous AI systems.

Question 2

Is Data Science with AI & ML still worth learning in 2025?

Accepted Answer

Absolutely — and more than ever. The demand for Data Scientists and AI Engineers is at an all-time high, with companies across every industry investing heavily in AI capabilities. The addition of Agentic AI to the curriculum gives you a significant competitive edge, as very few professionals have hands-on experience building autonomous AI systems. Our placement data shows 95%+ placement rate with an average 70%+ salary hike for our graduates.

Question 3

Do I need prior coding experience to join this program?

Accepted Answer

No prior coding experience is required. The program starts from the very basics with Excel and Python fundamentals, building your skills progressively through to advanced AI. However, basic computer proficiency and a strong motivation to learn are essential. Our mentors are experienced in teaching complete beginners and will support you every step of the way.

Question 4

How is this program different from other Data Science courses?

Accepted Answer

Three key differentiators: (1) Agentic AI Specialisation — we are one of the very few programs globally that teaches you to build autonomous multi-agent AI systems, not just use pre-built tools. (2) Industry case studies using real data from Walmart, Swiggy, Airbnb, Uber, and Amazon. (3) 360° Career Support with actual 1:1 mock interviews with hiring managers, not just simulated practice tests.

Question 5

How long is the Data Science with AI & ML program and what is the weekly time commitment?

Accepted Answer

The program is 10 months long (38 weeks). Live classes are held on weekends, and the recommended weekly time commitment is 8–10 hours — including live sessions, self-paced assignments, and project work. This schedule is specifically designed for working professionals who want to upskill without leaving their current job.

Question 6

What job roles can I get after completing this Data Science program?

Accepted Answer

Graduates are hired for roles including Data Scientist, Machine Learning Engineer, AI Engineer, Agentic AI Engineer, Data Analyst, Business Intelligence Developer, NLP Engineer, and Analytics Consultant. The Agentic AI specialisation opens doors to newer roles such as AI Automation Engineer and Autonomous Systems Developer — positions that are in high demand but have very few qualified candidates.

Question 7

Is this program suitable for working professionals with a non-technical background?

Accepted Answer

Yes. The curriculum is structured to start from absolute fundamentals — Excel, basic statistics, and Python basics — so professionals from non-technical backgrounds like marketing, finance, operations, and HR can transition successfully. Weekend-only live classes and lifetime access to recorded sessions make it feasible to learn alongside a full-time job. Over 40% of our current learners come from non-engineering backgrounds.

Question 8

Do I get a certificate after completing the Data Science course?

Accepted Answer

Yes. Upon successful completion, you receive a Meritshot Program Completion Certificate and a Microsoft Certification. Additionally, you build a portfolio of 40+ industry projects hosted on GitHub, which serves as a practical credential that hiring managers value more than certifications alone. Your capstone projects in Agentic AI further distinguish your profile from other candidates.

Question 9

What does the 9-module curriculum cover?

Accepted Answer

The curriculum progresses from Data & Business Foundations (Excel, KPIs) through Data Visualisation (Power BI, Tableau), SQL, Python for Data Analysis, Statistics, Machine Learning Fundamentals, Advanced ML & NLP, Generative AI & LLMs, and culminates in a 6-week Agentic AI & Autonomous Systems specialisation. Each module includes hands-on projects using real-world datasets from leading companies.

Question 10

What are the real-world projects included in the program?

Accepted Answer

The program includes 40+ industry projects across all modules: Retail Sales Dashboard (Walmart), Customer Analytics (Swiggy), Pricing Insights (Airbnb), A/B Testing (Zomato), Trip Duration Prediction (Uber), Demand Forecasting (Amazon), plus 4 major Agentic AI capstone projects — Autonomous Data Analyst Agent, AI Market Research Multi-Agent System, Autonomous BI Reporting Agent, and Personal AI Investment Analyst.

Question 11

How is the Agentic AI specialisation structured?

Accepted Answer

The Agentic AI module runs for 6 weeks (Weeks 33–38) and is the crown jewel of the program. You will learn agent architectures (ReAct, Plan-and-Execute), multi-agent frameworks (LangGraph, CrewAI), tool-use and orchestration patterns, and build 4 production-grade autonomous AI systems. This module transforms you from an AI user to an Agentic AI Engineer — a role that barely existed 2 years ago.

Question 12

What programming languages and tools are taught in this Data Science course?

Accepted Answer

You will gain hands-on proficiency in Python, SQL, Power BI, Tableau, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, AWS, LangChain, OpenAI API, Git, Docker, and Apache Spark. The curriculum is structured so you learn each tool in context — for example, you learn Pandas and NumPy while doing real exploratory data analysis, and LangChain while building autonomous AI agents.

Question 13

How are industry case studies integrated into the curriculum?

Accepted Answer

The program includes 15+ case studies using real datasets from companies like Walmart, Swiggy, Airbnb, Zomato, Uber, and Amazon. Each case study is mapped to a specific module — for example, Walmart retail analytics in the BI module, Uber trip prediction in Machine Learning, and Amazon demand forecasting in Advanced ML. You work with the same data formats and business problems these companies actually face.

Question 14

What is the difference between the Machine Learning and Agentic AI modules?

Accepted Answer

The Machine Learning modules (Weeks 22–28) teach you to build and deploy predictive models — regression, classification, clustering, ensemble methods, and NLP. The Agentic AI module (Weeks 33–38) goes beyond prediction: you learn to build autonomous systems that can plan, reason, use tools, and execute multi-step workflows independently. Think of ML as teaching machines to predict, and Agentic AI as teaching machines to act.

Question 15

Will I learn Generative AI, LLMs, and prompt engineering in this course?

Accepted Answer

Yes. Module 8 (Weeks 29–32) is entirely dedicated to Generative AI and Large Language Models. You will learn prompt engineering techniques, fine-tuning strategies, Retrieval-Augmented Generation (RAG) pipelines, and how to build applications using the OpenAI API and LangChain. This module bridges the gap between using AI tools and engineering production-grade AI applications.

Question 16

Are the projects individual or team-based, and can I add them to my portfolio?

Accepted Answer

Projects are a mix of individual assignments and collaborative team projects, mirroring real workplace dynamics. All projects are designed to be portfolio-ready — you receive guidance on structuring your GitHub repositories, writing documentation, and presenting your work professionally. The 4 Agentic AI capstone projects are individual, ensuring every graduate has unique, demonstrable work for interviews.

Question 17

Who are the mentors and what is their background?

Accepted Answer

Our mentors include Data Science leaders from PwC, Accenture, Amazon, and other top companies with 3–8+ years of industry experience. They are practitioners who use ML and AI in production environments daily — not academics. You will have direct 1:1 mentorship sessions, live problem-solving support on weekdays, and access to our alumni network of 18,000+ data professionals.

Question 18

What kind of support is available outside live sessions?

Accepted Answer

You get daily weekday problem-solving sessions with industry experts, a dedicated Discord community, personalised doubt resolution anytime, code review sessions, and 1:1 career counselling. Mentors are accessible and respond to questions within 24 hours. You also get lifetime access to all recorded sessions after the program ends.

Question 19

How does the 1:1 mentorship work and how often can I schedule sessions?

Accepted Answer

Each learner is assigned a dedicated industry mentor based on their career goals and background. You get bi-weekly 1:1 mentorship sessions covering project guidance, career advice, and technical doubt resolution. Additional sessions can be requested during critical phases like capstone projects or interview preparation. Mentors also review your code and provide personalised feedback on assignments.

Question 20

Is there a community or peer learning group for students?

Accepted Answer

Yes. Every batch is limited to 30 learners to ensure personalised attention, and you join a dedicated Discord community with your batchmates and alumni. Peer learning is a core part of the program — you collaborate on team projects, participate in code review sessions, and engage in weekly discussion threads. Many of our strongest placement referrals come from alumni helping current learners.

Question 21

Do I get lifetime access to course recordings and materials?

Accepted Answer

Yes. You receive lifetime access to all recorded live sessions, assignments, project templates, and supplementary learning materials. As the curriculum is updated — for example, when new AI frameworks or tools emerge — you get access to the updated content at no additional cost. This ensures your skills stay current even after the program ends.

Question 22

What happens if I miss a live session?

Accepted Answer

All live sessions are recorded in HD and made available within 24 hours of the class. You can watch at your own pace and submit any related assignments on the same timeline as your batch. If you have specific doubts from a missed session, you can raise them in the daily weekday problem-solving slots or directly with your mentor during your next 1:1 session.

Question 23

How quickly do mentors respond to doubts and queries?

Accepted Answer

Mentors respond to queries within 24 hours on the Discord community and dedicated doubt-resolution channels. For urgent technical blockers, daily weekday problem-solving sessions with industry experts provide same-day resolution. During capstone project phases, response times are even faster as mentors prioritise project-related queries to keep you on track.

Question 24

Can I pause the program or switch batches if needed?

Accepted Answer

Yes. We understand that working professionals may face unexpected commitments. You can pause the program for up to 4 weeks with prior approval and resume with the next batch from where you left off. Batch switching is available once during the program at no additional cost. All your progress, assignments, and mentor notes are carried forward seamlessly.

Question 25

What does the 360° Career Support include?

Accepted Answer

360° Career Support is a comprehensive placement program that includes: resume building with ATS optimisation, LinkedIn and GitHub profile makeover, 1:1 mock interviews with actual hiring managers (not simulated tests), role-specific interview preparation, direct referrals to our 400+ hiring partner network, salary negotiation coaching, and ongoing support until you land your target role.

Question 26

What is the placement rate and average salary hike?

Accepted Answer

We maintain a 95% placement rate with an average salary hike of 70%+ for our graduates. The highest CTC achieved by a Meritshot Data Science graduate is 48 LPA. These numbers are based on real placement data from our alumni network. Our placement team works actively with each candidate and does not consider you placed until you have signed an offer letter.

Question 27

What companies have hired Meritshot Data Science graduates?

Accepted Answer

Our graduates have been placed at Tata Digital, Swiggy, Flipkart, IBM, Nykaa, BYJU'S, Infosys, Meesho, Amazon, Microsoft, Capgemini, Deloitte, Genpact, and 400+ other companies ranging from product startups to Fortune 500 enterprises. We have dedicated relationships with hiring managers at these companies, which gives our graduates a significant advantage.

Question 28

When does placement support begin and how long does it last?

Accepted Answer

Placement support begins from Month 6 with resume preparation, LinkedIn optimisation, and mock interview rounds. Active job referrals start once you complete the core modules. There is no time limit on placement support — our team continues working with you until you land your target role, even if it takes several months after program completion.

Question 29

What types of Data Science roles do graduates typically land?

Accepted Answer

Based on our alumni placement data, graduates land roles across: Data Scientist (40%), Machine Learning Engineer (20%), Data Analyst (15%), AI/Agentic AI Engineer (15%), and BI Developer/Analytics Consultant (10%). The Agentic AI specialisation has opened new role categories — several recent graduates have been hired specifically as AI Automation Engineers and Autonomous Systems Developers.

Question 30

How are mock interviews conducted and who takes them?

Accepted Answer

Mock interviews are conducted 1:1 with actual hiring managers and senior professionals from our 400+ partner companies — not simulated bots or peers. Each session includes a technical round (DSA, ML concepts, case studies) and a behavioural/HR round tailored to the specific role you are targeting. You receive detailed written feedback, areas of improvement, and a follow-up session to track progress.

Question 31

What is the average salary range for Data Science graduates from this program?

Accepted Answer

For career switchers and freshers, starting salaries typically range from 6–12 LPA. For experienced professionals transitioning from adjacent roles, the range is 15–30 LPA. The highest CTC achieved by a Meritshot graduate is 48 LPA. On average, our graduates see a 70%+ salary hike from their pre-program compensation, with the Agentic AI specialisation commanding a further premium.

Question 32

Do you help with resume building, LinkedIn optimisation, and GitHub portfolio?

Accepted Answer

Yes — this is a core part of our 360° Career Support. You receive ATS-optimised resume templates tailored to Data Science roles, a complete LinkedIn profile makeover with keyword optimisation, and guided GitHub portfolio setup showcasing your best projects. Our career coaches also help you craft compelling project descriptions and quantify your impact — the exact format hiring managers look for.

Question 33

What is the fee structure and payment options?

Accepted Answer

The program fee is ₹47,999 (currently discounted from ₹74,999 — a 36% early-bird discount). We offer 0% EMI for up to 18 months, making it approximately ₹2,667/month. We also partner with leading NBFCs for education loans with minimal documentation. There are no hidden fees — the fee covers all live sessions, recorded content, mentorship, career support, and Microsoft certification.

Question 34

Is there a refund policy?

Accepted Answer

Yes — we offer a 7-day full refund guarantee from the date of enrollment. If you are not satisfied with the program within the first week, you will receive a complete refund, no questions asked. We are that confident in the quality of our curriculum and mentorship.

Question 35

How do I apply and what is the selection process?

Accepted Answer

The application process is straightforward: (1) Fill out the enrollment form or click 'Enroll Now', (2) Our career advisor will schedule a 30-minute counselling call to understand your goals and assess fit, (3) Upon selection, you will receive a fee payment link and batch schedule. Batches are limited to ensure quality mentorship. We recommend applying early as seats fill quickly.

Question 36

Are there any scholarships or discounts available for this program?

Accepted Answer

Yes. In addition to the current 36% early-bird discount, we offer group enrollment discounts for teams of 3 or more from the same organisation. Merit-based scholarships are available for exceptional candidates who demonstrate strong aptitude during the counselling call. Women in tech and career-change candidates may also qualify for additional support. Contact our admissions team for current scholarship availability.

Question 37

What is included in the course fee and are there any hidden charges?

Accepted Answer

The fee is all-inclusive. It covers 300+ live sessions, 800+ hours of recorded content, lifetime material access, 1:1 mentorship, daily doubt-resolution sessions, 40+ industry projects, Microsoft certification, 360° career support (resume, LinkedIn, mock interviews, referrals), and access to the alumni Discord community. There are zero hidden charges — no separate fees for certifications, projects, or placement support.

Question 38

Can I start with a partial payment and pay the rest in installments?

Accepted Answer

Yes. You can reserve your seat with an initial payment and pay the remaining amount in 0% EMI installments for up to 18 months — approximately ₹2,667/month. We also partner with leading NBFCs to offer education loans with minimal documentation and quick approval. Our admissions team will help you choose the payment plan that best fits your budget.

Question 39

What are the batch start dates and how do I reserve my seat?

Accepted Answer

New batches start every month, and each batch is limited to 30 learners to ensure quality mentorship. You can reserve your seat with a refundable deposit during the counselling call. Batches fill up quickly — we recommend applying at least 2–3 weeks before your preferred start date. Your career advisor will share the exact schedule and batch options during the counselling session.

Question 40

Is there a free demo class or trial before I enroll?

Accepted Answer

Yes. We offer a free 30-minute counselling session where you can discuss your career goals and see a walkthrough of the curriculum, platform, and learning format. Additionally, our 7-day full refund guarantee means you can experience the actual live classes, mentors, and community risk-free. If it is not the right fit within the first week, you get a complete refund — no questions asked.

Data Science MachineLearning and AI Programwith Agentic AI

Why Choose Meritshot?

AI-First Curriculum

Real-World Interview

Industry Vetted Curriculum

Expert Mentors & Instructorship

360° Career Support

Small Batches, Better Learning

Skills You Will Master in This Program

From Learners to Industry Leaders

10 Months. 9 Modules. One Career Transformation.

Upskilling that gives you an Unfair Advantage

How You'll Learn

Tools You'll Master

Ready to transform your career?

Industry Case Studies You'll Work On

Walmart Case Study

Swiggy Case Study

Airbnb Case Study

Zomato Case Study

Uber Case Study

Amazon Case Study

Domain Specialisation & Electives

Banking, Finance & Insurance

E-commerce & Marketing

Healthcare & Pharma

Human Resources & Operations

Our Alumni Work at Top Companies

Industry Projects

Keyword Analysis & Generation for Google Ads

Quora Insincere Questions Classification

Cabs Trip Duration Prediction

Climate Change Impact on Food Supply Chain

Product Price Suggestions for Online Sellers

Demand Forecasting for E-commerce Giant

Recommend Products to Most Suitable Customers

Traffic Signs Classification Using CNN

Agentic AI & Autonomous Systems

Build 4 Real Autonomous AI Systems

Autonomous Data Analyst Agent

AI Market Research Multi-Agent System

Autonomous BI Reporting Agent

Personal AI Investment Analyst

30+ Industry Tools. Woven Into Every Project.

Meet Our Expert Mentors

Credentials That Actually Matter

Industry-Accredited

Digitally Verifiable

Built for Career Impact

Weekdays Problem Solving Sessions

Expert-Led Sessions

Daily Tips & Tricks

Multi-Tool Practice

Personalised Doubt Sessions

Invest in Your Future

Everything Included

Frequently Asked Questions

Still have questions?

Still have questions?

Ready To Level Up Your Career?

Certificate Includes

Your CareerTransformationStarts Here.

Get Your Free Consultation

What Our Alumni Say About Meritshot

Data Science Machine
Learning and AI Program
with Agentic AI

10 Months. 9 Modules.
One Career Transformation.

30+ Industry Tools.
Woven Into Every Project.

Your Career
Transformation
Starts Here.