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FutureStack
Data-first, application-driven
Applied where it adds value
Business & deployment-focused
Job-ready DS + GenAI skills
DS + ML + GenAI + Deployment
Other AI Courses
Tool or theory-heavy
Often absent or superficial
Academic or isolated
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Work on real-world projects with 1:1 mentorship as part of our classroom program.

Exclusive sessions on real-world best practices and emerging tech.

Our methodology follows five stages: pre-class preparation, concept understanding, guided practice, problem-solving, and real-world projects.

Build real-world applications and gain confidence through our classroom program.

Get membership to learner management system with free built-in tools to practice real-world learning.

Get access to jobs, internships and hiring drives even after completing our classroom program.
3rd Floor, Pandit Ravishankar Shukla Stadium, Wright Town, Jabalpur, Madhya Pradesh 482002, India
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Please find below the detailed steps to be followed as a part of the admission process.
Start Your Application
Follow the below application process to begin your enrollment process.
Submit Your Interest
Fill out the enquiry form on our website. Select your preferred city and centre.
Speak to our Academic Counsellor
Discuss your background, goals, and best-fit program.
Confirm Your Batch
Choose from our morning / evening / weekend batches that suit your schedule
Start Learning
Once enrolled, you’ll receive onboarding details and access to learning resources. You can then begin your offline learning experience at the selected upGrad centre.
Job Role | Entry-Level Salary | Mid-Level Salary | Senior / Lead Salary |
Data Analyst | ~₹3.5 L – ₹5.5 L per year | ~₹7 L – ₹12 L per year | ₹14 L – ₹22 L+ per year |
Data Scientist | ~₹5.5 L – ₹9 L per year | ~₹11 L – ₹18 L per year | ₹22 L – ₹40 L+ per year |
Business Intelligence (BI) Analyst | ~₹4 L – ₹6.5 L per year | ~₹8 L – ₹14 L per year | ₹16 L – ₹25 L+ per year |
Implementation Engineer, AB Knowledge Systems
With a year of internship experience, I joined upGrad because of its strong reputation for helping students upskill and secure good jobs. The learning experience has been excellent, with well-structured content relevant to market demands. I've gained new skills and deepened my knowledge. I highly recommend upGrad for anyone serious about advancing their career.

Atharva Bhapkar
Implementation Engineer
Specialist Programmer, Infosys
I had no work experience and was unsure about entering the Data Science field. A friend introduced me to upGrad, where I received great support, especially with resume building. The teaching staff is well versed in the field including help with professional profiles. upGrad is an ideal choice for upskilling, thanks to its mentorship and personalized support.

Mansi Deepak Kodgire
Specialist Programmer
Assistant Manager - Sales
With 6+ years in the non-IT domain, I chose upGrad to help me transition into IT. Its curriculum provided me with in-depth skills in data science and AI-ML, and the instructors at the Indore centre offered invaluable one-on-one support. For anyone seeking to break into Data Science or shift to IT, this program is a great choice for gaining technical expertise.
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Aniket Gogaliya
Assistant Manager
Software Engineer, Incred Money
Before upGrad, I wanted to strengthen my technical skills and transition into a more technical role. I chose upGrad for its structured curriculum in Data Structures and Algorithms (DSA) and MERN Stack Development. The hands-on projects and real-world applications enhanced my skills, making me job ready. Now, I’m excited and prepared to take the next step in my career.

Swaroop Ramdas Chavan
Software Engineer
Data Researcher, Collegedunia
As a recent Computer Science graduate, I felt I needed practical, job-ready skills in Data Science. I chose upGrad for its job-focused learning and reputable partnerships, which offered hands-on courses, live sessions, mentor support, and real projects. This experience built my confidence and gave me the skills to tackle real Data Science projects in my career.

Priyanka Maruti Panchkwade
Data Researcher
3
Faculty Members

Data Science & AI
10+ years of experience in DA/DS, Ex-L&T, New Holland, Data Arc, has served on site for clients in Honkong, Nepal and Germany

Data Science & AI
12+ years of experience in data analytics, research, consultancy and academia, Ex-Deloitte having experience working with various ministries… Read More

Data Science & AI
Skilled in data analytics and data science. Previously worked as Sr. Faculty - Data Analytics Training in ExcelR Edtech Private Limited, Ben… Read More

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Yes. You do not need an engineering, computer science, or coding background to join the FutureStack: Data Science & GenAI program. Learners from B.Com, BBA, B.A., commerce, management, and similar backgrounds can apply. The program begins with foundational concepts in Python and data analysis before progressing to SQL, Power BI, Machine Learning, Generative AI, RAG applications, and hands on projects, helping beginners build skills in a structured way.
Yes, final year students can apply for the program. The classroom learning is designed to help people start building practical Data Science, AI, and analytics skills even before graduation so they can prepare earlier for internships, placements, and entry level roles.
No. The FutureStack program is designed for a wide range of learners, including college students, fresh graduates, working professionals, and career switchers. Whether you're looking to start your career, upskill, or transition into the world of Data Science and AI, the program focuses on building practical skills in analytics, Machine Learning, Generative AI, and modern data driven technologies.
Graduates from any stream including B.E., B.Tech, B.Sc, B.Com, B.A., BBA, BCA, and similar backgrounds can apply for the program. Prior experience in Data Science is not required to get started.
The program is designed to give you a complete understanding of how modern data and AI solutions are built. Instead of learning Data Science, Machine Learning, and Generative AI separately, you'll learn how they work together through hands on training. The curriculum covers Python, SQL, Power BI, Machine Learning, RAG applications, AI tools, and deployment concepts, helping you build skills that reflect real industry workflows and requirements.
This module focuses on building practical GenAI systems like AI powered data assistants and RAG based chatbots using real implementation workflows. You also learn how LLMs can work alongside analytics systems and Machine Learning outputs to generate smarter insights, automate tasks, and create more interactive AI driven experiences.
Yes. Throughout the program, you work on multiple hands on projects involving business analytics, Machine Learning workflows, dashboards, GenAI applications, and real implementation tasks instead of only theory based assignments. The projects are designed to help you build practical experience that feels much more aligned with modern Data Science and AI hiring expectations.
Yes, the program includes full-stack deployment training. You will deploy end-to-end Data Science and GenAI applications. This includes integrating dashboards with AI services. The goal is to make you confident in building production-ready systems.
You work with industry tools like SQL, Power BI, Python, Hugging Face, NumPy, TensorFlow, GitHub, Pandas, LangChain, Keras, Jupyter, scikit learn, Git, and FAISS through hands on classroom implementation and live datasets. The learning stays heavily practical, so you regularly use these tools while building dashboards, analytics workflows, Machine Learning systems, and GenAI based applications instead of only learning concepts theoretically.
The total program fee is ₹75,000. Eligible candidates may also receive merit based scholarships of up to 50% depending on the admission cycle and scholarship criteria. Flexible EMI and installment options are available too, so the payment process can feel much easier to manage financially.
The program runs for 3 months and is designed to keep the learning highly practical, fast paced, and implementation focused from day one. Instead of spending months only on theory, you continuously work on projects, analytics workflows, AI tools, and hands on problem solving while building a deployable capstone project by the end of the program.
Yes. You can visit the Learning Support Centre before enrolling to get a feel for the learning environment, explore the facilities, meet the team, and understand the curriculum, batch schedules, career support, and program structure in more detail before making your decision.
Morning, evening, and weekend batches are available for the program, making it convenient for students, freshers, and working professionals to learn without disrupting their existing commitments. You can contact the Learning Support Centre for the latest batch schedules and upcoming start dates.
Yes. Jabalpur has a growing IT and technology services ecosystem, and companies increasingly value professionals who can work with data, analytics, and AI tools. The FutureStack program helps you build skills that are relevant not only for opportunities in Jabalpur but also for roles across larger technology markets in India.
The above statistics depend on various factors and individual results may vary. Past performance is no guarantee of future results.
The student assumes full responsibility for all expenses associated with visas, travel, & related costs. upGrad does not .
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