Career Accelerator: Data Science & Gen AI
Career Accelerator Program
Career Accelerator: Data Science & Gen AI is a 9-month online/offline program for beginners and intermediates, offering one-on-one mentorship, performance tracking, and interview prep from day one. With a job guarantee (eligibility-based), the course covers Python, SQL, MySQL, Statistics, ML, NLP, Deep Learning, and Generative AI. Learners gain hands-on experience through real-world projects, building the skills needed for a successful Data Science & AI career.
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ABOUT Career Accelerator: Data Science & Gen AI COURSE OVERVIEW
The Career Accelerator: Data Science & Gen AI is a 9-month offline, personalized program for beginners and intermediates looking to master Data Science and AI. From Day 1, students receive interview preparation, career mentorship, and a job guarantee for eligible learners within the program timeline.
The curriculum spans Python, SQL, MySQL, Statistics, Machine Learning, NLP, Deep Learning, and Generative AI, with hands-on learning through 50+ industry projects and up to 1 year of internship opportunities. Students benefit from 205+ hours of live sessions, 100+ hours of doubt-solving support, and personality development training to build both technical and soft skills.
With monthly mock interviews, industry-led sessions, and lifetime access to a Data Science community and dashboard, learners graduate fully job-ready with continuous support for long-term career growth.
Turning Ambitions into Realities!
Are You Ready to Accelerate Your Career?
Data Science is an interdisciplinary field that combines statistics, computer science, and domain expertise to extract meaningful insights from both structured and unstructured data. By leveraging techniques such as data mining, machine learning, and data visualization, Data Science helps organizations make data-driven decisions. Tools like Python, MySQL, and Generative AI are essential in driving innovation and solving complex business problems across industries.
Data Science combined with Generative AI is shaping the future of industries worldwide. From automating analytics and enhancing decision-making to building intelligent applications, the scope is vast. Professionals skilled in Data Science and Gen AI are in high demand across IT, finance, healthcare, marketing, and more; making it one of the most promising career paths with endless growth opportunities.
A career in Data Science & Generative AI offers high demand, excellent salaries, and the chance to work on cutting-edge innovations. It empowers you to solve real-world problems, drive business growth, and stay ahead in one of the fastest-growing tech fields.
A Data Scientist is responsible for collecting, processing, and analyzing large datasets to uncover patterns and insights. They develop predictive models, build algorithms, and implement data-driven solutions for complex business problems. Data Scientists often collaborate with cross-functional teams and use advanced tools, including Generative AI and machine learning, to design innovative solutions that optimize performance and decision-making.
The job guarantee is available for students who meet the program requirements. To qualify, students must attend at least 95% of live sessions, submit 90% of assignments and projects on time, and achieve a minimum score of 60% in all graded exams, assignments, and projects. Additionally, candidates must hold a graduate degree to be eligible for the job guarantee.
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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.
Career Transitions
First Milestone!
I began my journey in data science with no coding background. Today, I’m proud to call myself a Data Scientist. Grateful to Vijay Narayan Singh Sir & Aman Sir, and the entire skilledUp team for guiding me every step of the way. Thank you for transforming my career!
Meet the Career Accelerator: Data Science & Gen AI Training Mentors
What role does a Career Accelerator: Data Science & Gen AI 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. 49999.00
Enroll Now
Course Curriculum
- Course 1: Basics of Python
- Course 2: Advance of Python Programming
- Course 3: MongoDB Essentials for Efficient Data Handling
- Course 4: Foundational and Advanced Statistics Knowledge
- Course 5: NumPy for Scientific Computing
- Course 6: Pandas for Data Manipulation and Analysis
- Course 7: Visual Data Representation Using Matplotlib
- Course 8: Advanced Data Visualization Using Seaborn
Career Accelerator: Data Science & Gen AI Project
Data Cleaning and Transformation with Excel
Clean and transform raw data into useful insights by using Excel’s built-in functions like VLOOKUP, pivot tables, and filters. Perfect for improving efficiency and organization in datasets.
Sales Data Analysis for Business Insights
Analyze sales data to identify trends, growth, and performance. Use advanced Excel functions such as Power Query, charts, and pivot tables to visualize and summarize data.
Marketing Campaign Performance Dashboard
Build a dynamic Looker Studio dashboard to visualize key marketing metrics, including engagement, conversions, and ROI, for data-driven campaign insights and performance tracking.
Product Performance Analysis
Create a Looker Studio report to track product sales, customer behavior, and trends with real-time data visualizations for actionable insights and business performance monitoring
Library Database System
Design a relational database for managing books, authors, patrons, and transactions in a library. Optimize with SQL queries for efficient data retrieval and performance.
Career Accelerator: Data Science & Gen AI Certification Course Reviews
This course gave me complete clarity on Data Science and Generative AI. The hands-on projects were very practical and helped me build real confidence.
The mentorship sessions and interview preparation from day one were the biggest highlights. I cracked two interviews within a month of finishing.
The program strengthened my Data Science skills while also improving communication and soft skills. The career guidance and mentorship were extremely valuable.
Our Alumni: Leaders, Innovators, and Achievers
Frequently Asked Questions (FAQs)
The Career Accelerator program is designed for final-year students, graduates, and working professionals from any background. Both technical and non-technical learners who want to advance their careers in Data Science can benefit from the program. The course provides step-by-step guidance to help learners build the skills needed to succeed in the field.
This program provides comprehensive training in all essential areas of Data Science. You will learn programming with Python, working with databases like SQL and MySQL, and mastering statistics and data visualization. Advanced topics include Machine Learning, Deep Learning, Natural Language Processing, and Generative AI. Alongside theoretical learning, the course emphasizes practical, hands-on experience through real-world industry projects, preparing you for job-ready roles.
No prior experience is required. The program is structured to support beginners as well as intermediate learners, guiding you from foundational concepts to advanced techniques with a clear, step-by-step learning path.
The Career Accelerator program spans nine months and is delivered through online and offline modes. Classes are held every Saturday and Sunday, with interactive sessions lasting three hours each. From day one, the program includes interview preparation, hands-on projects, and personalized mentorship to ensure students gain practical skills and industry readiness.
Throughout the program, you will gain expertise in key tools such as Excel, SQL, Python, Power BI, Looker Studio, MongoDB, and cloud platforms. You will also learn to work with advanced technologies including Machine Learning, Deep Learning, NLP, and Generative AI. The course equips you with end-to-end skills, from data analysis and cleaning to building and deploying models.
Students work on over 20 real-world business projects, giving them hands-on exposure to solving industry-relevant problems. The program also offers a one-year internship, providing professional experience and building the practical skills necessary for a successful career in Data Science.
Yes, all students receive lifetime access to the course materials. This allows you to revisit lessons, refresh your knowledge, and continue learning even after the program ends.
skilledUp provides a comprehensive learning experience that combines personalized mentorship, hands-on projects, a one-year internship, personality development sessions, and interview preparation from day one. The program also offers placement support during the course, ensuring students are fully prepared to launch a successful career in Data Science and AI.
You can apply for the program through the official website or by contacting the program coordinator. If you miss a live session, recorded classes are made available, allowing you to catch up at your convenience without losing any learning opportunities.