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Key Outcomes:
Learners Will Build:
Key Outcomes:
Learners Will Build:
Key Outcomes:
Learners Will Build:
Key Outcomes:
Learners Will Build:
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Capstone Deliverable:
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Learning Approach
GenAI Integration
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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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Mostly DS & ML

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.
Meet our experts, explore programs in detail, and see how our blended learning approach helps you achieve real career growth.
Explore the Learning Support Centre in Bangalore
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No. 627/23, SS Plaza, 30th Cross Rd, near Uathayam, 4th T Block East, 4th Block, Jayanagar, Bengaluru, Karnataka 560041, India
Aptitude Training
Resume Building
LinkedIn Profile Evaluation
Interview Question Bank
1:1 Mock Interview Calls
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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 | ~₹5 L – ₹8 L per year | ~₹10 L – ₹18 L per year | ₹20 L – ₹35 L+ per year |
Data Scientist | ~₹8 L – ₹15 L per year | ~₹18 L – ₹30 L per year | ₹35 L – ₹65 L+ per year |
Business Intelligence (BI) Analyst | ~₹6 L – ₹10 L per year | ~₹12 L – ₹22 L per year | ₹25 L – ₹40 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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The Future Stack Data Science and GenAI course in Jayanagar combines online learning with offline classroom sessions at upGrad's Jayanagar centre. The program covers Python, statistics, machine learning, and generative AI, structured around applied projects and a final capstone.
Learners considering a Data Science and GenAI course in Bangalore get access to mentorship, mock interviews, and placement support at a physical centre, alongside the flexibility of online coursework.
Bangalore's being the tech capital is the practical base for the Future Stack Data Science and GenAI course in Jayanagar, particularly for learners in South Bangalore seeking offline access without a long commute. Learners comparing Data Science & GenAI course institutions in Bangalore often cite this offline mentorship as the key reason for choosing an in-person format over a fully remote one.
Among Data Science and GenAI course in Bangalore options, this blend of online flexibility and offline structure is the centre's primary differentiator from other Data Science & GenAI course institutions in Bangalore operating remotely. Being based in Jayanagar also connects learners to Bangalore's wider employer ecosystem through recruiter interactions and alumni networking sessions held at the centre.
Facilities at the Centre:
The Data Science course syllabus for this program moves from foundational programming and statistics to machine learning, deep learning, and generative AI. Modules combine conceptual instruction with applied exercises, concluding in a capstone project. The table below outlines the Data Science course syllabus by module, along with the corresponding topics covered in each.
Modules | Topics Covered |
Python & Statistics Foundations | Python programming, data structures, descriptive statistics, probability, exploratory data analysis |
SQL & Data Management | SQL fundamentals, advanced queries, joins, database management, data wrangling |
Machine Learning | Regression, classification, clustering, model evaluation, feature engineering |
Deep Learning | Neural networks, CNNs, RNNs, model training and optimisation |
Generative AI | Prompt engineering, LLM applications, GenAI tools for analysis and reporting |
Data Visualization & Business Storytelling | Power BI, Tableau, dashboarding, stakeholder communication, business case studies |
Capstone Project | End-to-end data science and GenAI capstone project using real business data |
Skills You Will Learn:
The Data Science course syllabus is designed to prepare learners for a range of Data Science & GenAI career options across analytics, machine learning, and applied AI roles, with each stage of the Data Science course syllabus building directly toward these outcomes.
This course suits learners at different stages of their career who are exploring Data Science & GenAI career options, typically requiring a graduate degree along with basic analytical or logical aptitude:
If you prefer structured, in-person guidance and are based in or around South Bangalore, the Future Stack Data Science and GenAI course in Jayanagar is built for you. No prior coding background is mandatory before progressing into machine learning and GenAI concepts.
upGrad's Jayanagar Learning Support Centre serves learners across South Bangalore, making the Future Stack Data Science and GenAI course in Jayanagar accessible from several nearby localities for offline sessions, mentorship, and networking events.
Nearby Area | |
JP Nagar | Basavanagudi |
Banashankari | BTM Layout |
Jayanagar | Girinagar |
Srinagar | Wilson Garden |
Hanumanthanagar | Padmanabhanagar |
Data Scientist salary in Bangalore figures tend to scale with experience, and GenAI expert jobs in Bangalore are among the fastest-growing Data Science & GenAI career options in the current market. Reports on Data Scientist salary in Bangalore consistently place data and AI roles among the highest-paying entry to mid-level positions in the city.
Job Role | Average Annual Salary in Bangalore |
Data Scientist | ₹9–17 LPA |
Data Analyst | ₹6–9 LPA |
Machine Learning Engineer | ₹10–20 LPA |
GenAI Engineer | ₹10–18 LPA |
AI/ML Consultant | ₹12–22 LPA |
Source: Glassdoor
Top Companines Hiring Data Science & GenAI Experts in Bangalore:
The Future Stack Data Science and GenAI course in Jayanagar builds job-ready data and AI skills through offline mentorship, labs, and placement support. With strong Data Scientist salary in Bangalore trends and growing GenAI expert jobs in Bangalore, this Data Science and GenAI course in Bangalore offers a practical path toward long-term Data Science & GenAI career options for learners across South Bangalore.
Yes. The FutureStack: Data Science & GenAI program includes hands on work with Generative AI applications. You'll learn how to build solutions such as AI powered Data Assistants and RAG based chatbots, while gaining practical experience with LLMs, prompt engineering, vector databases, and modern GenAI workflows through implementation focused projects.
The learning is heavily application focused. Alongside core concepts, you'll spend significant time working with datasets, tools, projects, and implementation exercises that help reinforce real-world skills.
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.
The program combines Data Science, Machine Learning, GenAI, and deployment focused learning through practical classroom training and live implementation. You work with technologies like Python, SQL, Power BI, ML models, RAG applications, analytics workflows, and deployment concepts while learning how modern AI and data systems are built and used in real industry environments.
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 centre is centrally located in Jayanagar, easily accessible from JP Nagar, Basavanagudi, and BTM Layout, offering convenient offline access for South Bangalore students.
Compared to typical Data Science & GenAI course institutions in Bangalore, upGrad's centre offers classrooms, smart labs, mentorship, counselling, and a placement cell alongside online flexibility.
This Data Science and GenAI course in Bangalore follows a hybrid model. Core content is online, but offline sessions at the centre are strongly recommended for mentorship and lab practice.
Yes, session timings are structured around working schedules, a common feature among leading Data Science & GenAI course institutions in Bangalore, letting professionals upskill without pausing their careers.
The course fee varies by programme duration and format. Please check the official course page or speak with a centre counsellor for current fee details.
Yes, upGrad offers flexible EMI options through partner financing, letting you split the course fee into manageable monthly installments based on eligibility.
upGrad periodically offers scholarships and early-bird discounts that reduce the effective course fee. Contact the centre or check the course page for current offers before enrolling.
Morning, evening, and weekend batches are available, making it easier for students, freshers, and working professionals to learn at a schedule that suits them. You can connect with the Jayanagar Learning Support Centre team to check the latest batch timings and upcoming intake dates.
Yes. You can visit the Learning Support Centre before enrolling to explore the facilities, experience the learning environment firsthand, interact with the team, and get clarity on the curriculum, schedules, fees, and career support offerings.
Yes. Jayanagar is one of Bengaluru's well established professional and technology focused areas. With access to a strong tech ecosystem, startups, IT companies, and business hubs nearby, it's a great place to build skills in Data Science, Machine Learning, and Generative AI. If you're looking to move into a future focused tech career, this program is highly relevant in Jayanagar.