FutureStack: Data Science & GenAI Course in Belagavi
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 Belagavi.
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 Belagavi community.
HOW TO JOIN
Simple Admission Process
1
Submit Your Interest
Fill the enquiry form and select your preferred Belagavi 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 Belagavi
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 Belagavi .
Choose Your Nearest Centre
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 Belagavi 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
Still Wondering?
Career Outcomes & Placements
Curriculum & Learning
Projects & Practical Learning
Location & Belagavi Advantage
Course Outcomes & Skills
Fees & Plans
Support & Mentorship
If I choose FutureStack, what kind of careers can this actually prepare me for?
FutureStack is designed for people who want practical exposure to both Data Science and GenAI instead of learning them separately. After completing the program, you can explore career paths connected to analytics, Machine Learning, AI workflows, automation systems, dashboards, intelligent applications, and data driven business roles.
I keep seeing AI everywhere online, but how does Data Science still fit into all this?
AI becomes far more powerful when it works with structured data, predictions, analytics, and business insights. That's why companies are actively looking for people who understand both Data Science and GenAI together instead of only surface level AI tools.
Is it worth it to learn Data Science and GenAI in Belagavi?
Yes, especially because Belagavi is seeing steady growth in tech education, startup interest, and remote work awareness among graduates. Since AI and Data Science roles are increasingly skill based, strong portfolios and practical project work now matter far more than simply being in a metro city.
Will this only help me get a job, or can I use these skills for freelancing and side projects too?
Definitely more than just jobs. Many people now use AI and data skills for freelancing, automation projects, dashboards, AI assisted businesses, content systems, and independent consulting work too.
I don't come from a hardcore coding background. Will I struggle a lot here?
The program is built to help beginners grow step by step instead of throwing advanced concepts immediately. The classroom learning focuses on practical understanding, guided implementation, and building confidence gradually.
What exactly will I learn inside the FutureStack program?
The learning journey includes Python, SQL, dashboards, Machine Learning, real datasets, GenAI workflows, automation concepts, AI systems, APIs, and deployment-oriented thinking connected to real business use cases.
I've already watched random AI and Data Science videos online. How is this different?
Watching tutorials online often leaves people stuck in passive learning mode. The classroom format pushes you toward practical implementation, projects, experimentation, and guided problem solving instead of endless content consumption.
Will I learn how GenAI and Data Science actually work together in real workflows?
Yes. The program connects concepts like Machine Learning, dashboards, AI systems, automation, datasets, and GenAI workflows together instead of teaching them like isolated topics.
Will the projects feel close to actual industry work, or just academic assignments?
The projects are designed around realistic business style use cases involving dashboards, automation, AI workflows, datasets, analytics, and problem solving.
Do people only practice with clean sample data, or learn how real datasets behave too?
The learning experience includes realistic datasets that require cleaning, interpretation, analysis, and practical thinking instead of overly simplified examples.
I struggle to stay motivated unless I'm building something meaningful. Will this feel engaging?
That's exactly why the program stays highly implementation focused. You keep working on projects, workflows, systems, dashboards, and practical activities throughout the journey.
Will these projects actually help me talk confidently during interviews?
Definitely. Having real implementation experience makes it much easier to explain your thinking, workflows, and problem solving during interviews instead of relying only on theory.
I live in Belagavi. Will opportunities in AI and Data Science still feel accessible to me?
Yes because companies today care far more about practical skills and portfolios than just location. Remote work and digital hiring have made these opportunities much more accessible beyond metro cities.
I already have college or work responsibilities. Will the schedule become overwhelming?
The program offers weekday, evening, and weekend classroom batches so it becomes easier to fit learning into a busy routine realistically.
I don't want to join blindly after seeing ads online. Can I explore the learning support centre first?
Of course. Come visit the Belagavi Learning Support Centre, sit inside the classrooms, talk to the mentors, watch how the sessions work, and see if the environment genuinely feels right for you before you enroll.
Will I only learn during classroom hours, or continue practicing outside class too?
The learning continues beyond classroom sessions through assignments, guided resources, projects, implementation tasks, and practice support.
What kind of practical confidence do people usually build by the end of the program?
Most people become much more comfortable working with datasets, dashboards, AI workflows, Machine Learning concepts, automation systems, and business style problem solving.
Will I understand how companies actually use AI in daily operations?
Yes. The learning focuses heavily on practical workflows involving automation, reporting, AI tools, analytics, customer experiences, and intelligent systems used in modern businesses.
I don't just want tool knowledge. Will this improve the way I think too?
Definitely. A huge part of the learning involves analytical thinking, experimentation, workflow logic, and approaching problems more strategically.
Right now AI feels intimidating to me. Will that feeling reduce over time?
Usually, yes. Once people start building projects and working hands-on with systems regularly, AI starts feeling far more approachable and practical instead of overwhelming.
What is the fee for the FutureStack program in Belagavi?
The program fee is ₹75,000. Flexible EMI options, installment plans, and scholarship benefits are also available during admissions.
Paying a large fee upfront feels stressful to me. Are there easier payment options?
Yes. EMI and installment plans are available so the payment process feels more manageable instead of financially overwhelming.
Are scholarship benefits available for this program too?
Yes. Scholarships of up to 50% may be available for eligible candidates. You can connect with the admissions team to understand current scholarship options and eligibility criteria.
Before paying anything, can I properly understand what's included in the program?
Absolutely. The counselling team explains the classroom experience, projects, curriculum, tools, certifications, payment plans, and support structure clearly before enrollment.
What if I feel completely stuck during Machine Learning or AI projects?
That's a very common feeling initially. Trainers guide people through implementation step by step during assignments, workflows, projects, and practical activities instead of expecting instant perfection.
Once the course ends, does all the support stop too?
No. Career support, placement preparation guidance, interview resources, and learning assistance continue even after the classroom journey is completed.
I learn better through interaction than long lectures. Will the classes feel engaging?
The classroom sessions are designed to stay practical, discussion driven, and activity focused so learning feels much more interactive and less passive.
Will someone actually review my work and help me improve it?
Yes. Trainers regularly provide guidance on projects, dashboards, workflows, resumes, portfolios, and areas where improvement is needed.