FutureStack: Data Science & GenAI Course in Gurugram

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

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

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

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 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

• Python

• Pandas

• NumPy

• SQL

• Jupyter

• Hugging Face

• scikit-learn

• seaborn

• Power BI

• TensorFlow

• Keras

• FAISS

• LangChain

• Git

• GitHub

M-47, Mehrauli-Gurgaon Rd, Block M, Old DLF Colony, Sector 14, Gurugram, Haryana 122007

• 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

Data and AI now sit at the heart of every digital business, from personalised recommendations to automated decision-making. Professionals who can combine data science with generative AI are among the most in-demand talent at top tech and consulting firms today.

A Data Science & GenAI Course in Gurugram from upGrad can help you land a respected role in this space. This 3-month Data Science & GenAI Course in Gurugram takes you from Python and machine learning to RAG applications and deployment.

Why Choose upGrad Learning Support Centre Gurugram?

upGrad's Sector 14 centre is built around learning by doing. Using the 5Ps methodology, learners work on 15+ live projects with 1:1 mentorship, supported by masterclasses from industry professionals and IIIT-B faculty.

This Data Science & GenAI Course in Gurugram also offers an add-on IIIT-B certificate, a Guided Internship Certificate and an NSDC Course Completion Certificate. With access to 1200 hiring partners and scholarships of up to 50%, it supports your career well beyond the classroom.

Key facilities at Gurugram Centre:

• Classroom training at M-47, Mehrauli-Gurgaon Road, Old DLF Colony, Sector 14
• Free access to 12+ programming tools
• 15+ live projects with 1:1 mentorship
• Masterclasses by industry experts and IIIT-B faculty
• 3 years of access to the learning portal
• 3 years of access to the career portal, with jobs, internships and hiring drives
• Resume building and LinkedIn profile evaluation
• Interview question bank and 1:1 mock interview calls
• Aptitude training, soft skill sessions and GD/interview preparation
• Morning, evening and weekend batch options

Data Science & GenAI Course Syllabus in Gurugram

The Data Science & GenAI Course in Gurugram runs for three months across five modules, covering data foundations, machine learning, visualization, GenAI with RAG, and deployment. A final capstone project brings everything together in one working application.

Skills You Will Learn:

• Data cleaning and exploratory analysis using Python and SQL
• Machine learning model building, evaluation and interpretation
• Dashboard creation and data storytelling with Power BI
• Building RAG chatbots and GenAI assistants with LangChain and FAISS
• Working with TensorFlow, Keras, Hugging Face and scikit-learn
• Deploying end-to-end Data Science and GenAI applications

Who Should Join upGrad's Data Science & GenAI Course in Gurugram?

The Data Science & GenAI Course in Gurugram welcomes graduates from any stream, as well as students still pursuing graduation. No prior coding or data science experience is needed, and the curriculum begins with the fundamentals. It suits:

• Fresh graduates from B.E., B.Tech, B.Sc, B.Com, B.A., BBA and BCA programs
• Final-year students who want job-ready skills before graduation
• Working professionals looking to upskill in data and AI
• Career switchers from non-technical backgrounds
• Analysts and developers who want to add GenAI to their skillset

Nearby Areas We Cater for the Students

upGrad's Gurugram Centre is well connected by major roads and public transport. Students from these areas regularly join the Data Science & GenAI Course in Gurugram.

Career Opportunities After Completing Programs

Gurugram is a major hub for technology, consulting, analytics, fintech and global capability centres, so demand for data and AI talent is strong. Salaries rise quickly with experience and project depth. Here are popular roles and typical annual pay:

Source: AmbitionBox

Top Recruiters Offering Data Science & GenAI Jobs in Gurugram:

• Microsoft
• Google
• Amazon
• Genpact
• EXL Service
• American Express
• Deloitte
• KPMG
• Accenture
• Fractal

The Data Science & GenAI Course in Gurugram at upGrad combines Python, machine learning, Power BI and RAG applications with live projects, a guided internship and three years of career support. This can be your practical route into high-growth data and AI roles.