Data Science With Generative AI - Offline
Placement Assured Course
The "Data Science with Generative AI" program is a personalized offline course tailored for both beginners and intermediate learners. With face-to-face mentorship from experienced Data Scientists, continuous progress tracking, and interview preparation from Day 1, the program ensures placement within the course duration. Designed to bridge the gap between traditional education and real-world industry demands, the curriculum covers core topics such as Python, SQL, MySQL, Statistics, Machine Learning, NLP, Deep Learning, Generative AI, and more. Through classroom sessions and hands-on projects, students gain practical, real-world experience, building the expertise needed to thrive in the fast-evolving fields of Data Science and AI.
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Key Highlights
300+ Live Training on Weekends
20+ Real-World Industry Projects
Live Doubt-Solving Support
Live Personality Development Sessions
Internship Opportunities Up to 1 Year
Dedicated Expert Support for Every Student
On-Demand Career Guidance and Mentorship
Monthly Mock Interviews for Practice
Tailored and Personalized Training
Lifetime Dashboard Access
Access to Data Domain Community
Dedicated Platform for Blog Writing
Interview Preparation from Day 1
6 Month Live Interactive Training
Placement Within Course Duration
Placement Assured Course
ABOUT Data Science With Generative AI - Offline COURSE OVERVIEW
The "Data Science with Generative AI" program is a personalized offline course, designed for beginners and intermediate learners aiming to build a strong career in Data Science and AI. Spanning 9 months, this comprehensive program guarantees placement within the course duration, with interview preparation starting from Day 1.
Students gain hands-on expertise in Python, SQL, MySQL, Statistics, Machine Learning, NLP, Deep Learning, Generative AI, and more. The program includes 300+ hours of interactive classroom sessions, 130+ hours of dedicated doubt-solving support, and live personality development sessions to sharpen both technical and soft skills.
With 50+ real-world industry projects, up to a 1-year internship opportunity, and personalized career mentorship, students acquire real-world experience and career-ready skills. Monthly mock interviews and live sessions with industry experts further prepare them for success.
This job-assured program bridges the gap between academic knowledge and industry demands, offering lifetime dashboard access and connecting students to a thriving Data Science community.
Turning Ambitions into Realities!
Are You Ready?
Data Science is an interdisciplinary field that combines statistics, computer science, and domain expertise to extract valuable insights from structured and unstructured data. It uses techniques such as data mining, machine learning, and data visualization to analyze complex datasets and help businesses make data-driven decisions. Tools like Python, MySQL, and Generative AI play a pivotal role in driving innovation across industries.
The scope of Data Science is vast, with increasing demand across industries as data becomes central to business decisions. Sectors like healthcare, finance, e-commerce, and marketing depend on data science to optimize operations, predict trends, understand customer behavior, and improve products and services. This ever-growing field offers numerous career opportunities and is one of the highest-paying and most promising career paths today.
A career in Data Science offers incredible opportunities due to the increasing demand for data-driven solutions. High-paying roles such as data analyst, machine learning engineer, and data scientist are ideal for individuals passionate about innovation, problem-solving, and transforming business strategies with data insights. This course offers hands-on training, career mentorship, and dedicated placement support to ensure your success in the field.
A Data Scientist collects, processes, and analyzes large datasets to uncover patterns and insights that drive business decisions. They develop predictive models, build algorithms, and create data-driven solutions for complex problems. Data scientists collaborate with cross-functional teams to implement strategies that optimize operations. They also utilize tools like Generative AI and machine learning to stay at the forefront of innovation.
This course is ideal for final-year students, graduates, and working professionals, regardless of their background. Whether you're from a technical or non-technical field, if you’re looking to advance your career in Data Science, this course is perfect for you.
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Vijay Narayan Singh
MD & CEO At skilledUpWith 13+ years of comprehensive and in-depth experience as a Data Scientist, Data Analyst, and Business Analyst demonstrating a distinctive combination of technical breadth, business acumen, critical analysis, and decision-making. Worked on multiple products and categories. Having experience of 8+ years in educating people and helping them to make a career transition.
Aman Chauhan
Lead Data Scientist At skilledUpLead Data Science Expert with 3+ years of teaching experience in Data Science, Data Analytics, and Business Analytics. Skilled in MySQL, Data Visualization, Big Data, Python, and Statistics, with strong expertise in Machine Learning (ML), NLP, Deep Learning (DL), and Artificial Intelligence (AI). Passionate about mentoring and building industry-ready professionals.
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Shabyasachi Thakur
AI & Tech Expert At skilledUpWith 15+ years of experience, I’ve bridged gaps across fintech, policy & civic tech scaling networks, shaping regulations, and building AI solutions for millions. Now on a mission to fix India’s talent divide by reengineering education with GenAI, real projects & industry alignment. Backed by 500+ experts, our platform drives 60% higher salaries & rapid GenAI adoption.
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This Course Fee:
Rs. 50,000.00
Course includes:
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Students Enrolled
10000+
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Duration
9 Months
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Start Date
2025-11-12
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Language
Hinglish
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Course Type
Offline
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Internship
Up to 12 Months
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Certifications
Yes
Secure Payment:
Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of the skilledUp.
Enquiry
Career Transitions
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First Milestone!
After completing the Data Science course at skilledUp, I successfully transitioned into a Data Scientist role at Genpact. The mentorship, hands-on projects, and placement support were exceptional. Grateful to Vijay Sir and the skilledUp team for guiding my journey!
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Meet the Data Science With Generative AI - Offline Training Mentors
With 13+ years of comprehensive and in-depth experience as a Data Scientist, Data Analyst, and Business Analyst demonstrating a distinctive combination of technical breadth, business acumen, critical analysis, and decision-making. Worked on multiple products and categories. Having experience of 8+ years in educating people and helping them to make a career transition.
Lead Data Science Expert with 3+ years of teaching experience in Data Science, Data Analytics, and Business Analytics. Skilled in MySQL, Data Visualization, Big Data, Python, and Statistics, with strong expertise in Machine Learning (ML), NLP, Deep Learning (DL), and Artificial Intelligence (AI). Passionate about mentoring and building industry-ready professionals.
With 15+ years of experience, I’ve bridged gaps across fintech, policy & civic tech scaling networks, shaping regulations, and building AI solutions for millions. Now on a mission to fix India’s talent divide by reengineering education with GenAI, real projects & industry alignment. Backed by 500+ experts, our platform drives 60% higher salaries & rapid GenAI adoption.
What role does a Data Science With Generative AI - Offline play ?
Data Scientist
Analyzes complex datasets, develops predictive models, and applies statistical and machine learning methods to extract valuable insights and address business challenges, driving data-driven decision-making and optimizing strategies.
Data/Business Analyst
A Data/Business Analyst analyzes data to provide insights for strategic decisions. They identify trends, visualize data, and collaborate with teams to improve business processes and outcomes. Strong analytical skills are key.
Machine Learning Engineer
Designs, develops, and deploys machine learning models and systems that enable machines to learn from data and make accurate predictions, enhancing decision-making and automating processes across various applications.
Fees
- Select your ideal time slots based on your availability and enjoy immersive, personalized training crafted specifically to suit your needs!
Rs. 50000.00
Enroll Now
Course Curriculum
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Course 1: Basics of Python
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Course 2: Advance of Python Programming
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Course 3: Foundational and Advanced Statistics Knowledge
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Course 4: NumPy for Scientific Computing
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Course 5: Pandas for Data Manipulation and Analysis
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Course 6: Visual Data Representation Using Matplotlib
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Course 7: Advanced Data Visualization Using Seaborn
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Course 1: DL-Library For Neural Network & Model Development - TenserFlow & Keras
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Course 1: DL-Library For Neural Network & Model Development - TenserFlow & Keras
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Course 2: Deep Learning Techniques and Applications Development
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Course 2: NLP: Techniques for Text Data Processing
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Course 4: Cloud Computing Essentials
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Course 5: Model Deployment
Data Science With Generative AI - Offline Project
Financial Data Calculations
Leverage NumPy for portfolio calculations, risk analysis, and performance metrics to support financial decision-making and investment strategies.
Matrix-Based Operations
Utilize NumPy for advanced matrix computations, solving complex problems in data analysis, linear algebra, and machine learning applications.
Flight Delay Prediction
Analyze airline data using Pandas to predict flight delays, identify key factors affecting punctuality, and improve operational planning.
Sales Insights Generation
Analyze sales data using Pandas to uncover key insights, identify trends, and support decision-making processes for business growth.
Demographic Analysis Plots
Visualize population data using Matplotlib to uncover demographic patterns, regional distributions, and trends for targeted policy planning
Data Science With Generative AI - Offline Certification Course Reviews
Perfectly structured for working professionals, with flexibility and depth. It sharpened my skills in Data Science and Gen AI. Highly recommended for career growth!
The Gen AI part is pure gold! Hands-on projects, real-world simulations, and deep insights made the learning process fun, easy, and immensely rewarding for my career.
Excellent mentorship, detailed course structure, and highly engaging sessions. From Data Science basics to advanced Gen AI tools, everything was covered exceptionally.
The course covers everything from Data Science foundations to the latest in Gen AI tools. The learning flow was seamless and helped bridge my academic knowledge gap!
Industry expert trainers with real-world examples made all the difference. I felt well-prepared for practical challenges in Data Science and Gen AI roles after this course.
This course provided a strong foundation in Data Analytics. The practical approach, with Excel, SQL, and visualization tools, made me job-ready and confident for analytics roles.
Our Alumni: Leaders, Innovators, and Achievers
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Frequently Asked Questions (FAQs)
The "Data Science with Generative AI" offline course covers a wide range of topics, including Python programming, SQL, MySQL, Statistics, and data visualization. You will also learn Machine Learning (ML), Natural Language Processing (NLP), Deep Learning (DL), data wrangling, and model deployment. With over 50 real-world industry projects, the course ensures you develop job-ready skills and gain practical experience in core data science concepts.
No prior experience is necessary! The course is designed to cater to both beginners and intermediate learners, guiding you step-by-step through the basics and advancing to more complex topics.
This is a 6-month comprehensive offline training program. It includes interview preparation from day one, real-world project experience, and dedicated placement support. Classes are conducted in-person every Saturday and Sunday with 3-hour personalized, interactive sessions each day.
You will learn tools such as Excel, SQL, Python, Power BI, Looker Studio, MongoDB, and cloud platforms. You will also explore technologies like Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Generative AI. Topics range from data analysis and data cleaning to model deployment.
Throughout the course, you will work on over 20 real-world business projects, gaining hands-on experience by solving industry-relevant problems. You will also get valuable professional exposure through a 1-year internship, equipping you with the expertise required to thrive in data science roles.
Yes, you will have lifetime access to all course materials, allowing you to revisit the content at any time for continuous learning and review.
At SkilledUp, we offer personalized mentorship from experienced Data Scientists, hands-on training with real-world projects, up to a 1-year internship, and interview preparation from Day 1. We also focus on personality development and offer placement support within the course duration (T&C apply). This comprehensive learning approach ensures you build a successful career in Data Science and AI.
To apply, simply visit our official website or contact the program coordinator. If you miss any session, don't worry! You will be provided with recordings of the classes, allowing you to catch up at your convenience.