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Executive Programme in Generative AI for LeadersupGrad | Microsoft
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upGrad | Microsoft
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Share knowledge, get rewarded
Get job-ready with 100% classroom training and career support
Master tech & soft skills for complete career growth
Build ML & Gen AI apps using Python, SQL & BI tools
Deploy models using Flask, Streamlit & Gradio with Cloud integration
Program Duration
6 Months
Fee
INR 1,49,000
Merit Scholarships
Upto 50%
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Work on 15+ Live Projects
6000+ Career Transitions
1200+ Hiring Partners
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
Study:
• Excel For Business Problem-solving (CRISP-DM).
• Advanced Formulas, Logical Functions & Analytics Tools.
• Goal Seek, Scenario Manager & Data Tables.
• GenAI For Formula Generation, KPI Explanation & Summaries.
Create:
• Superstore Sales Dashboard With GPT
• Automated Reports Using VBA + Gen AI
• Real-world Demand Simulation On Kaggle Datasets
Attempt:
• 50+ Excel Interview Questions
• Problem-solving & KPI Explanation Practice
• Scenario-based Excel Tests
Study:
• End-to-end ETL & Data Modeling.
• DAX Fundamentals to Advanced Use Cases.
• Power BI & Tableau Visual Analytics.
• Data Storytelling With Gen AI-assisted Narratives.
Create:
• Home Loan Default Dashboard (DAX Case Study)
• Retail & Superstore Profitability Dashboards
• Dynamic Tableau Dashboards with Parameters & Joins
Attempt:
• 100+ DAX & BI Questions
• Dashboard Critique & Storytelling Exercises
• BI Scenario-based Case Studies
• 4 Weekly Tests
Study:
• Relational Databases & ER Modeling.
• Advanced SQL: Joins, Subqueries, Window Functions.
• Query Optimization Using Gen AI.
• SQL + Azure Cloud Integration.
Create:
• RSVP Movie Database
• Marketplace Demand-supply Analysis
• Cloud-connected Analytics Workflows
Attempt:
• 200+ SQL Interview Questions
• Complex Joins & Case-based Problems
• 1 Employability Test
• 2 Weekly Tests
Study:
• Python Fundamentals, Logic & Data Structures.
• Functional Programming & OOP.
• Numpy, Pandas & Data Visualization.
• EDA Techniques with Genai Support.
Create:
• Credit Risk Analysis
• Uber Trip Demand Analysis
• Stock Market Analysis Using Yfinance
Attempt:
• 250+ Python Coding Questions
• OOP & EDA Interpretation Tests
• Leetcode & Real-dataset Challenges
• 1 Employability Test
Study:
• Descriptive & Inferential Statistics.
• Hypothesis Testing, ANOVA & Chi-square.
• Statistical Interpretation Using AI Tools.
Create:
• Customer Churn Distribution Analysis
• Bank Credit Scoring Statistical Report
Attempt:
• Statistics Problem Sets
• Business Interpretation & Decision-based Tests
Study:
• 18+ ML Algorithms & ML Pipelines.
• Feature Engineering & Hyperparameter Tuning.
• Model Explainability (SHAP, LIME).
• Deep Learning: CNNS, RNNS, LSTMS.
• Generative AI, RAG & LLM Workflows.
• Prompt Engineering For NLP, Vision & Agents.
Create:
• Credit Risk & Churn Prediction ML Models
• Demand Forecasting System
• LLM-powered Apps (Chatbots, Semantic Search)
• Model Deployment Using Flask, Streamlit & Gradio
Attempt:
• ML & AI Case-study Questions
• Model Evaluation & Explainability Tests
• End-to-end Capstone Project
Tool Access
GenAI Integration
Projects
Brand Case Studies
ML Deployment
Portfolio Creation
Interview Prep
Placement Support
upGrad's Data Science Program
In-built access to all tools (Cloud-based)
ChatGPT, Copilot, Gemini for coding & analytics
8–12 real industry projects
Airbnb, Zomato, Uber, Netflix
Live apps (Streamlit/FastAPI/Docker)
GitHub + Live Dashboards + ML Apps
Module-wise + MAANG-level mock rounds
3 Years access to job portal & support
Other Data Science Courses
Tools only available in institute lab
Not included
2–3 basic or dummy projects
Generic examples
Mostly not taught
Certificate-focused
Basic interview tips
Limited or none

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.

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

You learn through five structured steps — prepare before class, understand concepts, practice skills, solve problems, and build real 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.
-a1dc0065ddc640b4a15e5d90d66e98e1.webp&w=3840&q=75)
Get access to jobs, internships and hiring drives even after completing our classroom program.
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
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 | Average Salary in Banglore |
AI Engineer | INR 27.1 LPA |
Data Scientist | INR 21.6 LPA |
Machine Learning Engineer | INR 19.0 LPA |
Business Intelligence Analyst | INR 16.0 LPA |
Data Analyst | INR 11.3 LPA |
Sourced By: AmbitionBox
Specialist Programmer
Before joining upGrad, 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 from Omkar Sir, 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 Kodgire
CTC ₹6.5 LPA
Specialist Programmer
upGrad enhanced my job prospects in data science. The hands-on training, real-world projects, and supportive mentors made a significant difference. After 2.5 months, I feel confident and ready for new opportunities.

Santosh Rath
CTC ₹7 LPA
Sr. Business Development Associate
I joined upGrad to enhance my Data Science skills for an analytical role. With expert mentorship, hands-on projects, and strong career support, I built my portfolio and network, leading to a promotion as a Senior Business Development Associate.

Dhanshri Jagdale
CTC ₹9.5 LPA
AI/ML Developer
I joined upgrad to get full time job opportunity, It's all about learning methodologies by upgrad teaching staff this creates difference and one more one-on-one guidance by staff.

Aditya Patil
CTC ₹5 LPA
4
Faculty Members

Instructor Data Science Upgrad
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

Instructor Data Science Upgrad
12+ years of experience in data analytics, research, consultancy and academia, Ex-Deloitte having experience working with various ministries… Read More

Instructor Data Science Upgrad
With 4.2 years of industrial experience as a machine learning engineer and around 2 years as a data science trainer, She specializes in mach… Read More

Instructor Data Science Upgrad
Skilled in data analytics and data science. Previously worked as Sr. Faculty - Data Analytics Training in ExcelR Edtech Private Limited, Ben… Read More
A Thriving Education & Business Hub
High Demand for Skilled Professionals
Access to Networking Opportunities
Close to Hiring Companies & Startups
Strong Industry Exposure
A Focused Learning Environment
Train Where Your Career Grows
The upGrad Jayanagar offline learning centre is located at No. 627/23, SS Plaza, 30th Cross Rd, near Uthayam, 4th T Block East, 4th Block, Jayanagar, Bangalore, Karnataka 560041. The centre is situated in a well-connected area, making it convenient for learners across the city to visit for classes, counselling, and academic support.
The centre in Jayanagar is open every day from 10 AM to 8 PM. During these hours, you can meet academic counsellors, attend support sessions, or participate in classroom learning. For a smoother experience, it is advisable to call ahead before visiting.
For course-related queries, you can directly call the admissions team at 1800 210 7070. If you want to connect specifically with the Jayanagar centre, you can also call 8433702223. Counsellors will assist you with batch schedules, fees, and eligibility details. You may also submit an online enquiry form, and the team will respond promptly.
Yes, prospective learners are welcome to visit the Jayanagar centre before confirming enrollment. A visit lets you interact with career counsellors, experience the classroom environment, and understand the curriculum and placement support in detail.
The program features a comprehensive, industry-focused curriculum covering Data Science, Python, Machine Learning, AI, SQL, Power BI, Tableau, and Statistics. It emphasizes practical, project-based learning and includes extensive training in Generative AI tools to help you become job-ready.
The offline classroom program runs for 6 months. At the Jayanagar centre, the total program fee is INR 1,49,000. Flexible payment plans and financing options are available depending on eligibility, which can be discussed with your academic counsellor.
Yes, the program is designed for both beginners and working professionals. No prior coding experience is required, although basic mathematical and logical understanding can be helpful. The curriculum progresses gradually from fundamental concepts to advanced data science skills.
Yes, practical learning is central to the program. You will complete multiple industry-relevant projects, such as building machine learning models, creating interactive dashboards, and developing AI applications. A final capstone project helps demonstrate your overall expertise.
This program is designed around the skills that leading tech employers actively demand. With a strong focus on project-based learning, in-person mentorship, and dedicated career support, it equips you with the practical abilities needed to succeed in real-world roles.
Yes, eligible learners receive comprehensive placement support. The career team helps with ATS-friendly resume creation, one-on-one mock interviews, and LinkedIn profile optimization. You also gain access to an extensive network of hiring partners to improve job opportunities.
Data Science offers strong job stability and high earning potential. Graduates commonly move into roles such as Machine Learning Engineer, Data Analyst, and Data Scientist. The growing tech and startup ecosystem provides excellent opportunities for rapid career advancement and salary growth.
Yes, various financial support options are available to make learning more accessible. These may include merit-based scholarships or Pay After Placement (PAP) plans to reduce upfront costs. You can consult the counselling team to check eligibility and available options.
After completing the program, you will be qualified to apply for roles such as Data Scientist, Data Analyst, Machine Learning Engineer, and AI Engineer. Structured classroom training combined with career support prepares you to compete effectively for these positions.
Entry-level salaries in the local tech sector are competitive. Roles like Data Scientist and Machine Learning Engineer generally offer starting packages ranging from 5 LPA to 9 LPA or more, depending on experience and performance. With experience, earning potential increases significantly.
Yes, career assistance continues well beyond program completion. You will have access to the career portal for three years, including resume reviews, job referrals, mock interviews, and invitations to exclusive hiring drives.
The program builds a strong foundation in analytics, artificial intelligence, and machine learning, technologies shaping the future of the global tech industry. This solid base helps you adapt to evolving trends and progress into senior and leadership roles over time.
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 .
Meet our experts, explore programs in detail, and see how our blended learning approach helps you achieve real career growth.