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IIT/IIM Courses

Gain Job Ready Skills with In Demand Programs in Lucknow

    Guided Live Training. Planned Batches. Proven Career Results

    Grow your career in AI, Data Science, Gen AI & Full Stack Engineering

    Build technical & workplace skills with a job-focused curriculum

    Get personalised 1:1 mentoring to select your ideal growth career path

    Stay updated on hiring trends through expert-driven industry sessions

Proven Track Record

10 Years

Average Salary Hike

50%

Batch Starts

28 Feb 2026

For Enquiry

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Why Choose upGrad?

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Guided Industry Projects with Mentorship

Work on real-world projects with 1:1 mentorship as part of our classroom program.

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Masterclasses by Industry Professionals

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

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Industry-Ready Curriculum

Designed with real hiring requirements for Data Science, AI & ML roles

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5Ps of Learning Methodology

You learn through five structured steps — prepare before class, understand concepts, practice skills, solve problems, and build real projects.

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Hands-on Training with Live Projects

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

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3 Years Access to Learning Portal

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

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3 Years Access to Career Portal

Get access to jobs, internships and hiring drives even after completing our classroom program.

Eligibility Requirements

  1. Data Science
  • Graduation in any science / tech stream (B.E., B.Tech, B.Sc, B.C.A., etc.)
  • Students pursuing graduation in any of above streams are also eligible
  • No coding background required
  1. Full Stack Development
  • Graduation in any science / tech stream (B.E., B.Tech, B.Sc, B.C.A., etc.)
  • Students pursuing graduation in any of above streams are also eligible
  • No coding background required
  1. Digital Marketing
  • Open to graduates from any discipline
  • Ideal for freshers, business owners & working professionals
  • No prior experience needed
  1. Data Analytics
  • Graduation in any field
  • Students pursuing graduation in any of above streams are also eligible
  • No technical background required
  1. Future Stack Data Science & Gen AI
  • Graduation in any science / tech stream (B.E., B.Tech, B.Sc, B.C.A., etc.)
  • Students pursuing graduation in any of above streams are also eligible
  • No coding background required
  1. Generative AI & Agentic AI
  • Graduation in any stream (B.E., B.Tech, B.Sc, B.Com, B.A., etc.)
  • Basic understanding of programming or logical thinking is preferred
  • No prior experience in Generative AI or Agentic AI required

Who Should Enroll

You should enroll if:

  • You’ve started online courses before but struggled to stay consistent
  • You learn better with live faculty interaction and real-time doubt resolution
  • You need a structured schedule to stay on track
  • You value peer accountability and collaborative learning
  • You prefer classroom-based learning over self-paced formats

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. 

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Submit Your Interest

Fill out the enquiry form on our website. Select your preferred city and centre.

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Speak to our Academic Counsellor

Discuss your background, goals, and best-fit program.

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Confirm Your Batch

Choose from our morning / evening / weekend batches that suit your schedule

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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.

What Our Learners Have to Say

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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. "

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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."

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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.

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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.

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Priyanka Maruti Panchkwade

Data Researcher

Frequently Asked Questions

upGrad’s classroom programs at the Lucknow Offline Centre provide structured, industry-oriented training delivered by experienced faculty. Learning is hands-on, with real-world projects, assignments, and practical exposure. The offline classroom setup keeps you focused and disciplined while providing personalized career guidance and placement assistance.