FutureStack: Data Science & GenAI Course in Gurugram
Master data science and GenAI by analyzing real-world datasets, building RAG-powered analytics systems, and deploying full-stack applications, with IIIT-B certification and 1200+ hiring partners in Gurugram.
Why upGrad
Everything You Need to Land Your Dream Job
We've helped 6000+ professionals make successful career transitions. Here's what makes us different.
Free Access to 12+ Programming Tools
Industry-Ready Curriculum
Masterclasses by Industry Experts
Career Support & Placement Assistance
3 Years Access to Career Portal
3 Years Access to Learning Portal
Tech Stack
GetFuture-Ready with the Latest Tools
- Python
- Pandas
- NumPy
- SQL
- Jupyter
- Hugging Face
- scikit-learn
- seaborn
- Power BI
- TensorFlow
- Keras
- FAISS
- LangChain
- Git
- GitHub
Curriculum
What You'll Learn
Learn data science and GenAI by working with Python, SQL, ML models, and real datasets to build analytics pipelines and AI-powered business solutions.
What You'll Study
- Data & programming foundations
- Python for data processing
- SQL for data extraction
- Exploratory Data Analysis (EDA)
What You'll Build
- Data ingestion and preprocessing pipelines
- EDA workflows on real datasets
- SQL-based queries and reports
Practice & Assessment
- Clean and structure real-world datasets
- Perform exploratory analysis (trends, anomalies)
- Write Python and SQL for data-driven problems
What You'll Study
- Statistics for business analysis
- Machine learning fundamentals
- Regression, classification, and clustering
- Feature engineering & preprocessing
What You'll Build
- ML models (regression, classification, clustering)
- Feature engineering pipelines
- Model evaluation reports
Practice & Assessment
- Select ML techniques for business use cases
- Train, evaluate, and compare models
- Interpret results and explain insights
What You'll Study
- Data visualization & analytics
- Power BI dashboards
- Business analytics & reporting
- Data storytelling
What You'll Build
- Interactive dashboards using Power BI
- Business analytics reports
- Data storytelling presentations
Practice & Assessment
- Translate data into business insights
- Build dashboards for decision-making
- Communicate findings using visuals and narratives
What You'll Study
- GenAI in data applications
- RAG (Retrieval-Augmented Generation) systems
- LLM integration in analytics workflows
What You'll Build
- GenAI-powered data assistants
- Document-based RAG chatbots
- AI-enhanced analytics applications
Practice & Assessment
- Integrate GenAI into analytics workflows
- Build RAG applications on datasets
- Combine ML outputs with LLM-driven insights
upGrad vs Others
Why upGrad Stands Apart
| Category | FutureStack | Other AI Courses |
|---|---|---|
| Learning Approach | Data-first, application-driven | Tool or theory-heavy |
| GenAI Integration | Applied where it adds value | Often absent or superficial |
| Projects | Business & deployment-focused | Academic or isolated |
| Outcome | Job-ready DS + GenAI skills | Partial readiness |
| Skill Coverage | DS + ML + GenAI + Deployment | Mostly DS & ML |
Career Outcomes
Roles You Can Step Into
Data science and GenAI are rapidly growing fields, here are some roles you can choose from after completing the course:
Top Sectors Hiring Data & AI Talent
- Tech - Google, Microsoft, Adobe
- AI Firms - OpenAI, Cohere, Fractal
- E-commerce - Flipkart, Meesho, Myntra
- Fintech - Paytm, Razorpay, PhonePe
- Healthcare - Practo, Optum, Philips
- SaaS - Salesforce, Zoho, Accenture
Our Star Faculty
Vipul Sonawane | Instructor & Data Science Trainer
He brings extensive expertise in corporate training, having conducted sessions for Lloyd’s Bank, KPMG, HSBC, JP Morgan, and Deloitte. He is also a seasoned educator across platforms like Simplilearn, upGrad, ExcelR, Imarticus, Great Learning, Masai School, GUVI-IITM, and Sunway University, Malaysia.
Niyanta Desai | Instructor & Data Science Trainer
11+ years of professional experience, specializing in Data Science, Machine Learning, and NLP. She has extensive expertise in corporate training, having conducted specialized sessions for organizations like Colgate-Palmolive, and is proficient in Data Analytics, Business Intelligence tools, and Artificial Intelligence.
Anilkumar Manchikatla | Instructor & AI/Data Science Trainer
16+ years of global experience across Atos, Siemens, AstraZeneca, and other enterprises, with international exposure in France and Germany, specializing in scaling Applied AI and Generative AI solutions. An IIT Roorkee alumnus, he serves as Principal Instructor at upGrad and AI Program Director for Telangana Government. A government awardee in technology and social impact and featured in leading publications such as Deccan Chronicle and The Indian Express.
Learner Stories
What Our Learners Have to Say
Real people. Real outcomes. From the upGrad Gurugram community.
HOW TO JOIN
Simple Admission Process
1
Submit Your Interest
Fill the enquiry form and select your preferred Gurugram offline centre.
2
Speak to a Counsellor
Discuss your background and goals with our academic team to find the best fit.
3
Confirm Your Batch
Choose morning, evening, or weekend batches based on your
schedule.
4
Start Learning
Get onboarded with your learning roadmap and begin your classroom journey.
Eligibility:
Graduation in any stream (B.E., B.Tech, B.Sc, B.Com, B.A., BBA, BCA, etc.). Basic understanding of mathematics or logical reasoning is helpful. No prior coding or Data Science experience required.
Visit the Nearest Centre in Gurugram
Walk in. No appointment needed. Expert counsellors ready for you.
Centres Open Today
Offline Learning Support Centres
Learn in a
Real Classroom
Real Classroom
Structured batches, live instructor sessions and dedicated mentors — all under one roof across Gurugram .
Choose Your Nearest Centre
Address
M-47, Mehrauli-Gurgaon Rd, Block M, Old DLF Colony, Sector 14, Gurugram, Haryana 122007
Fee Structure
Choose the Plan That Works for You
Scholarships available up to 50%
Pay Upfront
Rs. 75,000
Total program fee, all-inclusive
- Full curriculum access
- 3-year career portal
- IIIT-B Add-on Certification
- All tools included
Easy EMI
Flexible
Affordable monthly plans available
- No-cost EMI options
- Multiple NBFC partners
- Same curriculum & benefits
- Centre-specific plans
RECOGNIZED CERTIFICATIONS
Celebrate Your Success with Industry-Recognized Certificates
Get 3 NASSCOM-endorsed certifications upon program completion
UpGrad Certificate
Add-on IIIT-B Certificate
Guided Internship Certificate
NSDC Certificate
Start Your Data Science and AI Career
in Gurugram Today
Talk to an academic counselor and get a personalized learning plan. No commitment required.
- Free 30-minute counselling session
- Scholarship eligibility check
- Custom batch recommendation
- Centre visit booking
FAQs
Before You Take the Next Step
Career Outcomes & Placements
Curriculum & Learning
Projects & Practical Learning
Location & Gurugram Advantage
Course Outcomes & Skills
Fees & Plans
Support & Mentorship
I'm interested in both AI and Data Science, but I don't want to choose the wrong field. Does combining both actually make sense?
Very much. Companies today don't just want people who understand data they also want people who can work with AI tools, automation, intelligent systems, and modern workflows together. That combination is becoming far more valuable now.
Why does Gurugram feel like such a strong city for Data Science and GenAI careers?
Because Gurugram has become a major hub for startups, fintech companies, consulting firms, SaaS businesses, ecommerce brands, and tech driven companies that actively work with data, automation, analytics, and AI systems daily.
I keep hearing about AI replacing jobs. Is this field still safe to enter right now?
AI is definitely changing jobs, but it's also creating demand for people who can understand data, work with intelligent systems, automate workflows, and apply AI practically inside businesses.
I don't want to spend months learning skills that feel disconnected from real work. Does this field actually lead somewhere practical?
Yes. Data Science and GenAI are now directly connected to business decisions, automation, reporting, prediction systems, customer insights, productivity workflows, and modern tech operations across industries.
I get bored very quickly when courses become too theory heavy. Will this feel practical enough?
The classroom experience focuses heavily on projects, datasets, dashboards, AI workflows, implementation tasks, and practical business style problem solving instead of endless theory slides.
What kind of tools and technologies will I actually work with here?
Depending on the curriculum, the learning may include Python, SQL, Machine Learning, Power BI, Tableau, datasets, dashboards, GenAI tools, automation workflows, APIs, and AI assisted systems.
I'm someone who learns slowly at first. Will the pace feel overwhelming?
Not really. The learning is designed to build gradually from foundations toward practical implementation so concepts feel easier to absorb and apply over time.
Will I understand how Data Science and AI are actually used inside companies, or only learn tools separately?
The program focuses heavily on real implementation thinking involving analytics, automation, predictions, dashboards, AI workflows, reporting systems, and business problem solving.
What kind of practical work happens here?
The projects are designed around business style datasets, analytics challenges, dashboards, AI workflows, and practical implementation scenarios that feel much closer to real industry environments.
Will I build enough practical work to actually talk confidently during interviews?
Yes. The classroom learning focuses heavily on implementation and repeated practice so people gradually build projects, workflows, dashboards, and practical problem solving confidence.
I learn best when I can connect concepts to actual business use cases. Does the program teach like that?
Yes. Much of the classroom learning revolves around practical business scenarios involving AI systems, analytics workflows, dashboards, automation, and decision making.
Will I only learn coding and tools, or understand how businesses use all this practically?
The learning also focuses heavily on business thinking understanding why companies use data, where AI creates value, how automation saves time, and how decisions are made using insights.
I eventually want to move into Gurgaon's tech and startup ecosystem. Does studying in the city help me stay closer to those opportunities?
For many people, yes. Being in Gurugram keeps you surrounded by startup culture, tech conversations, networking opportunities, fast moving companies, and people actively building careers in AI and data driven fields.
I've noticed Gurgaon companies care a lot about practical skills now. Does this field align well with that hiring culture?
Definitely. Many companies in Gurugram care far more about projects, implementation ability, workflows, and practical understanding than purely theoretical knowledge or generic certifications.
Where is the Gurugram Learning Support Centre located?
The Gurugram Learning Support Centre is located at M-47, Mehrauli-Gurgaon Rd, Block M, Old DLF Colony, Sector 14, Gurugram, Haryana 122007.
Before joining, can I sit with someone at the learning support centre and understand whether this program actually fits my career goals?
Absolutely. You can visit the learning support centre, discuss your goals, understand the course structure, explore the classroom environment, and ask questions before making a decision.
Right now I mostly understand AI and Data Science only at a surface level. Will that change here?
Yes. The learning focuses on helping people move beyond passive curiosity into practical implementation through projects, datasets, workflows, automation systems, and real problem solving.
Will I actually learn how to combine AI with data instead of studying them separately?
Definitely. The program focuses heavily on how modern businesses connect data workflows, Machine Learning, automation, dashboards, and GenAI systems together in practical environments.
I'm not aiming to become a research scientist. Will the skills still feel useful for practical careers?
Very much. The program is designed around applied industry skills involving analytics, AI workflows, dashboards, automation, reporting systems, and business focused implementation.
What kind of career opportunities can this combination of Data Science and GenAI open up?
Depending on your interests and practical skills, you can explore roles connected to Data Analytics, AI assisted workflows, Machine Learning, Business Intelligence, automation systems, reporting, and intelligent business operations.
Does the complete fee need to be paid immediately during admission?
No. Flexible EMI and installment options are available, so the payment process can be managed more comfortably over time.
What exactly comes with the program besides classroom sessions?
The program also includes projects, tools, practical implementation, learning resources, career guidance, interview preparation, and support throughout the journey.
What is the fee for the FutureStack Data Science and GenAI program in Gurugram?
The program fee is ₹75,000. EMI options, installment plans, and scholarship benefits are also available during admissions.
Are there any scholarship or admission benefits available right now?
Yes. Eligible candidates may receive scholarships of up to 50% depending on admission criteria, seat availability, and the current enrollment cycle.
Who will teach the FutureStack classes in Gurugram?
The sessions are led by experienced trainers and professionals who work with Data Science, AI workflows, analytics, automation, and modern tech systems in practical industry environments.
After course completion, will someone still help me navigate interviews, placements, and career direction?
Definitely. Career support continues beyond classroom training through placement assistance, interview preparation, resumes, LinkedIn guidance, and career focused support resources.
I tend to lose confidence quickly while learning technical skills. Does the classroom environment feel supportive enough?
Yes. The sessions are designed to stay approachable, discussion driven, and beginner friendly so people can ask doubts comfortably and improve without feeling intimidated.
If I get stuck while working with datasets, dashboards, or AI workflows, will there be practical support available?
Absolutely. Trainers actively help people navigate implementation problems, workflow confusion, debugging challenges, and practical project level doubts during sessions.