FutureStack: Data Science & GenAI Course in HSR Layout

    Analyze real-world datasets & extract business insights

    Apply GenAI & RAG for intelligent analytics systems

    Deploy full-stack Data Science & GenAI applications

    Masterclasses from IIIT-B faculty with add-on certification

    Placement support with 3-year career portal & 1200 hiring partners

Duration

3 Months

New Batch Starts

30 July 2026

For Enquiry

9321961808

Scholarships

Upto 50%*

Request a Callback

By clicking, I accept the T&C and Privacy Policy

Program Highlights

Slide 1 of 2
1/0

Work on 15+ Live Projects

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

Program Curriculum

MODULE 01: Data & Programming Foundations

Learners Will Build:

  • Data ingestion and preprocessing pipelines using Python
  • Exploratory Data Analysis (EDA) workflows on real datasets
  • SQL-based data extraction and reporting queries

Key Outcomes:

  • Clean, preprocess, and structure real-world datasets
  • Perform exploratory analysis to identify trends, anomalies, and data issues
  • Write analytical Python and SQL code for data-driven problems

MODULE 02: Statistics & Machine Learning for Business

Learners Will Build:

  • Regression, classification, and clustering models
  • Feature engineering and preprocessing pipelines
  • Model evaluation and comparison reports

Key Outcomes:

  • Select appropriate ML techniques for business use cases
  • Train, evaluate, and compare machine learning models
  • Interpret model outputs and explain results to stakeholders

MODULE 03: Analytics, Visualization & Insights

Learners Will Build:

  • Interactive dashboards using Power BI
  • Business-focused analytics reports
  • Insight-driven data storytelling presentations

Key Outcomes:

  • Translate analytical results into business insights
  • Build dashboards to support data-driven decision-making
  • Communicate findings clearly using visual and narrative techniques

MODULE 04: GenAI & RAG for Data Applications

Learners Will Build:

  • GenAI-powered data assistants
  • Document-based RAG chatbots
  • AI-enhanced analytics applications

Key Outcomes:

  • Integrate GenAI into data and analytics workflows
  • Build RAG-based applications over enterprise datasets
  • Combine machine learning results with LLM-driven insights

MODULE 05: Deployment & Full-Stack Thinking

Learners Will Build:

  • Deployed analytics and GenAI applications
  • End-to-end data pipelines with AI interfaces
  • Integrated dashboards connected to AI services

Key Outcomes:

  • Deploy Data Science and GenAI applications end-to-end
  • Design full-stack data and AI solutions
  • Present production-ready, business-aligned applications

Capstone: Data Science + GenAI Application

Capstone Deliverable:

  • Business intelligence platform with AI insights
  • Data-driven decision support system
  • GenAI-powered analytics dashboard

Capstone Outcome:

  • Own a data problem from ingestion to deployment
  • Apply Data Science and GenAI in a unified system
  • Deliver a fully functional, deployable application

Get Future-Ready with the Latest AI Tools

  • Python
  • Pandas
  • NumPy
  • SQL
  • Jupyter
  • Hugging Face
  • scikit-learn
  • seaborn
  • Power BI
  • TensorFlow
  • Keras
  • FAISS
  • LangChain
  • Git
  • GitHub

What Makes This Program Stand Out?

Learning Approach

GenAI Integration

Projects

Outcome

Skill Coverage

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

Partial readiness

Mostly DS & ML

Why Choose upGrad Learning Support Centre in HSR Layout, Bengaluru?

Book your visit at upGrad Learning Support Centre

Meet our experts, explore programs in detail, and see how our blended learning approach helps you achieve real career growth.

Schedule your Visit

Explore the Learning Support Centres in Bengaluru

Visit the Learning Support Centre in Bengaluru

Location

HSR Layout Bengaluru

Phone Number

9321961808

Working Hours

10 AM - 8 PM

Visit us here in HSR Layout, Bengaluru

3rd Floor, HSR Optima, No. 1672/A, 14th Main Rd, 7th Sector, HSR Layout, Bengaluru, Karnataka 560102, India

360° Career Support

Slide 1 of 2
1/0

Aptitude Training

Resume Building

LinkedIn Profile Evaluation

Interview Question Bank

1:1 Mock Interview Calls

Hands-on Technical Learning

Soft Skill Training

GD/Interview Prep

Eligibility Criteria

  • Graduation in any stream (B.E., B.Tech, B.Sc, B.Com, B.A., BBA, BCA, etc.)
  • Students currently pursuing graduation are also eligible
  • Basic understanding of mathematics or logical reasoning is helpful
  • No prior coding or Data Science experience required

Admission Process

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. 

Career Roles You Can Pursue After Completing the FutureStack course at upGrad's HSR Layout, Bengaluru Offline Learning Support Centre

Job Role

Entry-Level Salary

Mid-Level Salary

Senior / Lead Salary

Data Analyst

~₹5 L – ₹8 L per year

~₹10 L – ₹16 L per year

₹18 L – ₹30 L+ per year

Data Scientist

~₹8 L – ₹14 L per year

~₹16 L – ₹28 L per year

₹30 L – ₹60 L+ per year

Business Intelligence (BI) Analyst

~₹6 L – ₹9 L per year

~₹12 L – ₹20 L per year

₹22 L – ₹38 L+ per year

What Our Learners Have to Say

Mentored by Top Professionals

3

Faculty Members

Certificate in FutureStack: Data Science & GenAI Course

FutureStack: Data Science & GenAI Course in HSR Layout, Bangalore

FutureStack: Data Science & GenAI Course in HSR Layout combines online learning with offline classroom sessions at its dedicated HSR Layout centre. Designed with industry experts, the programme covers data science fundamentals, machine learning, and generative AI through hands-on, project-based learning.

If you're comparing a Data Science Course Bangalore learners can attend offline, this program pairs a job-focused curriculum with in-person mentorship, labs, and placement support at upGrad's HSR Layout centre.


Why Choose upGrad Learning Support Centre HSR Layout?

Bangalore is India's leading technology hub, home to product companies, startups, and global capability centres actively hiring for data and AI roles, making HSR Layout an ideal base for the FutureStack Data Science & GenAI Course in HSR Layout. upGrad's Learning Support Centre is designed to give learners more than just course access; it offers a complete offline environment to learn, practice, and network.

Compared to many Data Science Course institutes in Bangalore, this blend of online flexibility with offline structure is what makes the FutureStack Data Science & GenAI Course in HSR Layout stand out. When it comes to Data Science course fee in Bangalore, this offline mentorship and placement support is bundled directly into the program rather than charged separately.


Key facilities at the HSR Centre:

  • Classrooms - Every batch gets access to dedicated, well-equipped classrooms designed for focused, distraction-free learning.
  • Smart Labs - Learners get hands-on access to smart labs built for practical coding practice, covering Python, SQL, machine learning, and GenAI tools, so concepts learned in class can be applied and tested immediately.
  • Mentorship - Regular one-on-one mentorship sessions with experienced data science and AI professionals help learners get personalised feedback, clarify career direction, and stay on track throughout the program.
  • Counselling. Dedicated academic and career counselling helps learners choose the right learning path based on their background, goals, and the roles they want to move into after the course.
  • Interview Rooms - A dedicated space is available for learners to practice and prepare for real interview scenarios, helping them build confidence before facing actual recruiters.
  • Networking Events - The centre regularly organizes meetups and networking sessions with data science and AI professionals, alumni, and industry experts, helping learners build valuable professional connections early on.
  • Student Community - Learners become part of an active, cohort-based student community that encourages collaborative learning, peer support, and shared problem-solving throughout the course.
  • Career Services - End-to-end career support is provided, covering resume building, LinkedIn profile optimisation, and a structured job search strategy tailored to each learner.
  • Mock Interviews - Learners get access to mock interview sessions with detailed feedback from experienced professionals, helping them identify gaps and improve before real interviews.
  • Placement Cell - A dedicated placement cell works closely with recruiters to connect learners with relevant job openings that match their skills and career goals.


FutureStack: Data Science & GenAI Course Structure at Bangalore

The FutureStack Data Science & GenAI Course in HSR Layout takes learners from foundational programming and statistics to advanced machine learning and generative AI concepts. The Data Science syllabus is built around real-world projects, industry case studies, and tool-based learning, with offline sessions reinforcing what's taught online.

Each module blends conceptual learning with practical application. Instead of just watching lectures, learners work on real datasets, build models, and design GenAI-powered workflows:

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 & LLMs

Large language models, prompt engineering, fine-tuning, GenAI application building

Data Visualization & Business Storytelling

Power BI, Tableau, dashboarding, stakeholder communication, business case studies

Capstone Project

End-to-end data science and GenAI capstone project with real business data


Skills You Will Learn:

  • Programming: Python, SQL, and data structures for data analysis
  • Statistical Analysis: Hypothesis testing, probability, and exploratory data analysis
  • Machine Learning: Regression, classification, clustering, and model evaluation
  • Deep Learning: Neural networks and foundational deep learning concepts
  • Generative AI: Prompt engineering, LLM applications, and AI-powered workflows
  • Tools: Power BI/Tableau for visualization, Excel, and Git for version control
  • Business Skills: Translating data and AI insights into business recommendations


Who Should Join upGrad's FutureStack Data Science & GenAI Course at HSR Layout Centre?

This course is designed for learners at different stages of their career. Data Science & GenAI eligibility typically requires a graduate degree in any discipline along with basic analytical or logical aptitude:

  • Freshers and recent graduates looking to enter the data science and AI field with a strong practical foundation
  • Working professionals in IT, finance, or operations who want to transition into data-driven roles
  • Engineers and developers aiming to upskill into machine learning and generative AI-focused positions
  • Managers and business analysts who want to use data and AI for better decision-making
  • Career switchers from non-technical backgrounds looking for a structured, offline-supported route into data science


If you prefer structured, in-person guidance over purely self-paced learning, and you're based in or around Bangalore, this offline-supported Data Science & GenAI Course in Bangalore is built for you. No prior coding background is mandatory; the course starts from the basics before progressing into advanced machine learning and GenAI concepts.


Nearby Areas We Cater for the Students

upGrad's HSR Layout Learning Support Centre is accessible to learners across South and East Bangalore, making it convenient for students from several nearby localities to attend offline sessions, mentorship meetings, and networking events.

Nearby Area

Koramangala

BTM Layout

Bellandur

Sarjapur Road

Marathahalli

Electronic City

Indiranagar

JP Nagar

Bommanahalli

Whitefield


Career Opportunities After Completing Programs

Bangalore's dense concentration of tech companies, startups, and global capability centres drives strong demand for professionals skilled in both data science and generative AI, across industries from e-commerce to BFSI and consulting.

Job Role

Data Science & GenAI 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: AmbitionBox


Top Recruiters Hiring Data Science & GenAI Talent in Bangalore:

  • Flipkart
  • Amazon
  • Google
  • Microsoft
  • Accenture
  • Deloitte
  • Infosys
  • Wipro
  • ZS Associates


upGrad's FutureStack Data Science & GenAI Course in HSR Layout builds job-ready data and AI skills through offline mentorship, labs, and placement support, a practical path into Bangalore's thriving tech job market.

Frequently Asked Questions

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.