Data Science & Generative AI Certificate – IBM & TimesPro
The IBM & TimesPro Advanced Certificate in Data Science and Generative AI is a comprehensive 6-month, 160+ hour programme designed to build end-to-end expertise across the entire data science lifecycle. Learners master Python, SQL, EDA, statistics, machine learning, deep learning, LLMs, RAG, prompt engineering, and GenAI-powered application development through eight structured learning paths combining industry-grade digital labs, guided assignments, and IBM-certified tools including Watson Studio, TensorFlow, and Hugging Face. The programme integrates responsible AI principles, ethical frameworks, and data privacy regulations to cultivate informed AI deployment practices. The curriculum culminates in an industry-grade capstone project where learners apply their knowledge to real-world data science and GenAI challenges. Comprehensive career services including personal branding, LinkedIn optimisation, interview preparation, and job search support equip graduates to confidently pursue roles in data science and AI-driven industries. Delivered fully online with IBM-certified modules, this programme offers flexibility, depth, and career-ready skills for aspiring data scientists, analysts, engineers, and professionals seeking to transition into AI-centric roles.
Instructors:
Dr. Darshan Ingle
Prudhvi Potuganti
English
Course Start Date:
27th Jun, 2026
Application Deadline:
Closing Soon
Duration:
6 Months
₹ 85,000
Overview
The IBM & TimesPro Advanced Certificate in Data Science and Generative AI is a six-month, 160+ hour executive education programme jointly developed by IBM and TimesPro to deliver end-to-end data science and AI expertise. The programme is structured into eight carefully sequenced learning paths that cover the complete data science lifecycle — from foundational programming and exploratory data analysis to advanced machine learning, deep learning, large language models, and generative AI applications. IBM-certified modules provide globally recognised credentials while TimesPro's applied approach ensures industry relevance. Learners work with leading tools including IBM Watson Studio, TensorFlow, Hugging Face, and more through guided labs and real-world assignments. The programme places strong emphasis on responsible AI and ethical frameworks, ensuring graduates are equipped to deploy AI solutions with integrity and regulatory awareness. Career services are embedded throughout — covering personal branding, LinkedIn optimisation, interview preparation, and job search support — making this programme a complete pathway from learning to employment in data science and AI roles.
Why Data Science?
This programme stands apart by combining IBM's globally trusted certification ecosystem with TimesPro's applied, industry-aligned curriculum. Learners receive IBM-certified credentials that are recognised by employers worldwide, giving their profiles immediate credibility in competitive job markets. The 160+ hours of structured learning span eight learning paths, ensuring genuine depth across the entire data science and generative AI stack — not just surface-level familiarity. Hands-on labs, guided projects, and a capstone assignment simulate real-world workflows, ensuring graduates are job-ready from day one. The integration of responsible AI and ethical AI frameworks positions learners ahead of the curve as organisations increasingly prioritise compliant, trustworthy AI deployment. IBM tools like Watson Studio and Hugging Face are used throughout, reflecting the actual toolsets professionals encounter in enterprise AI environments. Comprehensive career services including personal branding, LinkedIn optimisation, and interview coaching further distinguish this programme by actively supporting participants in securing roles post-completion.
What does this course have to offer?
Key Highlights
6-month, 160+ hour industry-aligned programme
Eight structured learning paths from foundations to GenAI
IBM-certified modules and globally recognised credentials
Hands-on labs with IBM Watson Studio, TensorFlow, and Hugging Face
Industry-grade capstone project building end-to-end AI solutions
Responsible AI and ethical framework modules included
Career services: personal branding, LinkedIn optimisation, interview prep
Fully online with direct-to-device delivery
Coverage of LLMs, RAG, prompt engineering, and GenAI applications
Who is this programme for?
Aspiring data scientists seeking structured entry into the field
Working professionals in tech, analytics, or business roles looking to upskill
Engineers and analysts wanting to advance into AI and ML domains
Tech graduates and freshers building foundational and advanced AI competencies
Career switchers from non-tech or semi-tech backgrounds transitioning into data roles
Managers and executives seeking AI fluency to lead data-driven initiatives
Entrepreneurs and founders looking to integrate AI and data intelligence into products
Minimum Eligibility
Open to graduates from any discipline
Working professionals seeking AI upskilling
Engineers and analysts looking to transition into data roles
Business professionals aiming to develop analytical capabilities
Entrepreneurs and founders wishing to integrate AI into products
No prior coding or data science experience mandatory
Who is the programme for?
Admission to the IBM & TimesPro Advanced Certificate in Data Science and Generative AI is open to learners from diverse academic and professional backgrounds. The programme welcomes graduates from any discipline, working professionals across industries, engineers, analysts, business managers, and career switchers who are motivated to build AI and data science competencies. No prior coding or data science experience is mandatory, making this programme accessible to both technical and non-technical learners. The academic structure is built around eight sequential learning paths, each combining IBM-certified content with TimesPro's applied curriculum. Learners progress through foundational data science, EDA and statistics, SQL and database analytics, machine learning, deep learning, generative AI in data science, responsible AI principles, and a concluding capstone project — ensuring a comprehensive, scaffolded academic experience.
Selection process
How to apply?
Curriculum
The curriculum of the IBM & TimesPro Advanced Certificate in Data Science and Generative AI is structured into eight learning paths that collectively span foundational to advanced concepts across the data science and AI landscape. The programme begins with IBM's Foundation of Data Science modules, establishing core programming, data wrangling, and analytical thinking skills using Python. This is followed by EDA and Statistics from IBM, which builds rigorous quantitative and exploratory analytical capabilities. TimesPro's SQL and Database Analytics module develops learners' ability to query, manage, and derive insights from relational databases. The Machine Learning and Deep Learning paths from TimesPro cover both classical and neural network-based modelling techniques with practical implementation emphasis. IBM's Generative AI in Data Science module introduces large language models, retrieval-augmented generation, prompt engineering, and GenAI-powered application development. Responsible AI from IBM addresses ethical frameworks, data privacy regulations, and principles for trustworthy AI deployment. The programme culminates in a TimesPro-led Capstone Project where learners build end-to-end data science and GenAI solutions, supported by assignments, case studies, and career services.
There are 8 semesters in this course
The programme's eight learning paths are carefully sequenced to build expertise progressively across the data science and generative AI stack. The Foundation of Data Science path from IBM establishes core competencies in Python programming, data manipulation, and the fundamental concepts underpinning modern data workflows. The EDA and Statistics path deepens learners' ability to explore datasets, identify patterns, and apply statistical methods to draw valid analytical conclusions. SQL and Database Analytics, developed by TimesPro, trains learners to interact with relational databases, construct complex queries, and extract actionable insights from structured data. The Machine Learning path from TimesPro covers supervised and unsupervised learning algorithms, model evaluation, feature engineering, and real-world predictive modelling techniques. The Deep Learning path introduces neural network architectures, including CNNs and RNNs, with practical implementation using TensorFlow and related frameworks. IBM's Generative AI in Data Science path covers the landscape of large language models, retrieval-augmented generation, prompt engineering strategies, and the development of GenAI-powered applications relevant to enterprise contexts. IBM's Responsible AI module provides grounding in ethical AI principles, fairness, transparency, data privacy regulations, and frameworks for deploying AI responsibly in organisational settings. The programme concludes with a Capstone Project, guided by TimesPro, in which learners apply their cumulative knowledge to design and build end-to-end data science and GenAI solutions, supported by assignments, case studies, and career coaching services.
Learning Path 1- Foundation of Data science (From IBM)
Learning Path 2- EDA & Statistics (From IBM)
Learning Path 3- SQL & Database Analytics (From Timespro)
Learning Path 4- Machine Learning (From Timespro)
Learning Path 6- Generative AI in Data Science (From IBM)
Learning Path 7- Responsible AI (From IBM)
Learning Path 8- Capstone (From Timespro)
Programme Length
6 months (160+ hours of structured learning)
Whom you will learn from?
Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.
Instructors
Dr. Darshan Ingle
Principal Consultant | Databricks Certified Generative AI Engineer | Agentic AI, Machine Learning & Lakehouse Platform Expert | Global Corporate Instructor
Dr. Darshan Ingle is a highly respected Principal Consultant and global corporate instructor with over 15 years of experience in Python-driven data science, machine learning, deep learning, and enterprise-scale AI systems. He has helped Fortune 500 organizations translate complex data and AI challenges into scalable, production-ready solutions across analytics, automation, and intelligent decision-making. He brings deep expertise in Python, PySpark, Spark SQL, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, and Generative AI, and has led large-scale transformations on the Databricks Lakehouse Platform. His work spans end-to-end AI pipelines—from data engineering and feature engineering to model training, evaluation, deployment, and monitoring using MLflow and distributed ML frameworks. Dr. Ingle has delivered 12 comprehensive Databricks training programs for FedEx and trained 900+ professionals at Citibank on SAS-to-PySpark migration, enabling teams to modernize ETL pipelines, optimize Spark workloads, and operationalize machine learning models at scale. His programs emphasize real-world engineering rigor, performance tuning, and production best practices rather than academic-only implementations.
Prudhvi Potuganti
Staff Data Scientist, Educator
Prudhvi Potuganti is a Staff Data Scientist, Educator, with a strong industry background spanning Machine Learning, NLP, and Generative AI across domains such as E-commerce, Marketing, and CPG. He has deep experience in helping working IT professionals transition into Data Science through structured, cohort-based learning programs by mentoring more than 10,000 learners in the last 7 years. He is deeply committed towards teaching & his ability to simplify complex concepts with relevant real world examples makes him an extraordinary mentor. At work, he often led solutions for enterprises, building algorithms from scratch, orchestrating solutions for businesses. His real word experience spans across multiple industries bringing a lot of variety to the classroom from practitioner perspective. His strong industry experience coupled with extraordinary articulation brings a practitioner’s perspective to data science education. His expertise is grounded in hands-on problem solving, real-world AI system development & solving challenges from the industry. He has a Bachelors in Electrical Engineering from NIT Warangal, PGSSP program from IIIT Hyderabad.
Tuition Fee
Fee details for the IBM & TimesPro Advanced Certificate in Data Science and Generative AI are available upon enquiry through the official TimesPro platform. Prospective learners are encouraged to contact a Programme Advisor for current fee structures, available payment plans, and any applicable EMI or instalment options. TimesPro offers flexible payment scheduling for eligible participants. For accurate and up-to-date fee information
Fee Structure
Payment options
Learning Experience
The IBM & TimesPro Advanced Certificate in Data Science and Generative AI delivers a fully online, direct-to-device learning experience designed for working professionals and learners with varied schedules. The programme combines IBM-certified digital modules with TimesPro's applied curriculum across eight structured learning paths, each integrating video content, guided assignments, and industry-grade labs. Learners engage with real-world datasets and tools including IBM Watson Studio, TensorFlow, and Hugging Face throughout the programme. Hands-on labs and guided projects simulate authentic data science and AI workflows, ensuring that theoretical concepts are immediately applied in practical contexts. The learning experience is further enriched by a comprehensive capstone project that challenges learners to develop end-to-end solutions using the full stack of skills acquired. Career services embedded within the programme — covering personal branding, LinkedIn profile optimisation, mock interviews, and job search support — complement the technical curriculum to prepare learners holistically for industry roles.
University Experience
TimesPro is the executive education and professional learning division of Bennett, Coleman & Co. Ltd. — India's most trusted media conglomerate, the publisher of The Times of India. With a robust academic partner network spanning IIMs, IITs, IISc, XLRI, SPJIMR, and global institutions including Michigan State University, TimesPro brings together premier academic expertise and industry relevance in every programme. The IBM & TimesPro Advanced Certificate in Data Science and Generative AI is co-developed with IBM — one of the world's foremost technology and AI leaders — ensuring that the curriculum reflects current enterprise AI practices and globally recognised certification standards. Learners benefit from IBM's trusted credential ecosystem, TimesPro's career services infrastructure, and a community of professionals across business, technology, and analytics domains. TimesPro's platform delivers a seamless digital learning experience with direct-to-device access, ensuring learners can engage with content at their own pace within the structured six-month timeline.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Loading alumni...
About the University
International Business Machines Corporation (IBM), commonly known as IBM, is a leading American multinational technology company headquartered in Armonk, New York. Established in 1911 as the Computing-Tabulating-Recording Company (CTR), it was renamed to IBM in 1924. Over the years, IBM has evolved from a manufacturer of punch-card tabulating systems to a global leader in computing and technology solutions. The company operates in over 175 countries and is recognized for its extensive research and development efforts, holding more than 150,000 patents. IBM's product offerings span various categories, including cloud computing, artificial intelligence (AI), data analytics, cybersecurity, and IT infrastructure. Notably, the IBM Watson platform utilizes natural language processing and machine learning to derive insights from large datasets. In recent years, IBM has shifted its focus towards hybrid cloud solutions and AI services, helping businesses accelerate their digital transformations. The company is committed to sustainability and innovation, setting ambitious goals such as achieving net-zero greenhouse gas emissions by 2030. Through initiatives like the IBM Skills Academy, the company aims to equip individuals with essential skills for the future workforce, emphasizing continuous learning and professional development.
350000+
Total Employees
170+
Global Offices
12
Research and Development Facilities
Affiliation & Recognition
-1732297417182.svg)
American National Standards Institute (ANSI)
-1733290046169.svg)
Internet Engineering Task Force (IETF)
-1733290103207.svg)
Association for Computing Machinery (ACM)
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Instructors
Experienced Educator and Applied AI Researcher with a Passion for Knowledge Sharing
With over a decade of university-level teaching experience, this passionate educator has developed numerous course modules, educational content, and hands-on lab designs. As a doctorate-level researcher specializing in applied AI, machine learning, and deep learning applications, they are dedicated to advancing both academic and practical knowledge. Their extensive background spans curriculum development, research, and fostering student engagement through practical projects.
Data Scientist Aije Egwaikhide: Empowering Women in STEM and Innovating AI Solutions at IBM
Aije Egwaikhide is a fantastic example of how dedication and passion can lead to a successful career in tech! With her background in Economics and Statistics, paired with advanced qualifications in Business and Management Analytics, she’s truly paving the way in the field of data science. Her work at IBM, particularly in creating innovative machine learning solutions for the Oil and Gas sector, is an inspiring achievement.
Career services
IBM provides extensive career services aimed at enhancing workforce readiness through skills development. The IBM Skills Academy offers a variety of courses designed to equip learners with essential skills in cloud computing, data science, AI, cybersecurity, and more. These programs are tailored to meet the demands of the evolving job market and are accessible to individuals at different stages of their careers. In addition to formal education programs, IBM facilitates networking opportunities through events such as hackathons and workshops where participants can engage with industry professionals. This exposure is invaluable for building connections that can lead to internships or job placements. Furthermore, IBM partners with educational institutions to integrate its technologies into their curricula, ensuring that students gain hands-on experience with real-world applications. This collaboration helps bridge the gap between academic learning and practical skills required by employers. IBM also emphasizes continuous learning by providing access to a wealth of online resources including webinars, tutorials, and case studies that keep learners updated on industry trends and best practices. This commitment to lifelong learning ensures that graduates remain competitive in their fields even after completing their formal education.
80% (for participants engaging with career services)
Placement Rate
$85,000 (estimated for certified professionals)
Average Salary After Graduation
400+
Number of Partnerships with Recruiters
Course Start Date:
27th Jun, 2026
Application Deadline:
Closing Soon
Duration:
6 Months
₹ 85,000
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.