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IIITB & IIM, Udaipur
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upGrad | Microsoft
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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.
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Follow the below application process to begin your enrollment process.
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Fill out the enquiry form on our website. Select your preferred city and centre.
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Job Role | Entry-Level Salary | Mid-Level Salary | Senior / Lead Salary |
Data Analyst | ~₹4 L – ₹6 L per year | ~₹8 L – ₹14 L per year | ₹16 L – ₹26 L+ per year |
Data Scientist | ~₹6 L – ₹10 L per year | ~₹12 L – ₹22 L per year | ₹25 L – ₹45 L+ per year |
Business Intelligence (BI) Analyst | ~₹5 L – ₹7 L per year | ~₹10 L – ₹16 L per year | ₹18 L – ₹30 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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No. The program is not limited to students. It is open to college students, fresh graduates, working professionals, and people planning a career transition into Data Science, AI, and related technology roles. The learning is designed to support people at different stages of their careers.
Yes. The program is designed for working professionals as well as students and freshers. Flexible weekday and weekend batch options make it easier to continue learning alongside a full time job while building practical Data Science, AI, and GenAI skills.
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.
Yes. A technical background is not mandatory to join the program. People from commerce, management, arts, science, and other non technical streams can apply and build their skills through the structured, beginner friendly learning approach followed throughout the program.
Yes. Along with the classroom learning, the program also helps people prepare for the job side of things through resumes, LinkedIn guidance, mock interviews, aptitude prep, interview practice, and placement support activities. The goal is to make the entire transition into Data Analyst and Data Scientist roles feel much less confusing and overwhelming.
The FutureStack: Data Science & GenAI program covers Data Science, Machine Learning, Generative AI, analytics, and deployment through a practical, hands on learning approach. You learn skills like data analysis, data visualization, dashboard creation, Machine Learning workflows, business reporting, GenAI applications, RAG based systems, and deployment concepts while working with tools such as Python, SQL, Power BI, TensorFlow, LangChain, Hugging Face, GitHub, and more. The focus stays on building real world skills through projects, live implementation, and industry relevant use cases.
Yes. Project work is a major part of the learning experience. Throughout the program, you apply concepts through practical assignments involving dashboards, business datasets, Machine Learning use cases, GenAI implementations, and real world problem solving so that the learning feels much closer to actual industry work than traditional classroom theory.
Yes. The program goes beyond analysis and model building to also cover how modern AI and data applications are deployed and used in the real world. You learn how different components like dashboards, Machine Learning models, and GenAI applications come together as complete end to end solutions rather than existing as standalone projects.
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, making it an accessible way to build in demand skills across Data Science, Machine Learning, and GenAI. Eligible candidates may also receive scholarships of up to 50%, and flexible EMI options are available, helping you focus more on learning and less on paying everything upfront.
The program is completed in just 3 months, but every week is packed with practical learning, projects, and real implementation work. From analytics and Machine Learning to GenAI applications, you spend the program actively building skills and applying them, finishing with a deployable capstone project that showcases what you can actually do.
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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