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DTU Advanced Certificate Programme in AI

The Delhi Technological University Advanced Certificate Programme in Artificial Intelligence is a rigorous, application-driven programme designed to build deep technical competence in AI, Machine Learning, and Deep Learning. Participants explore a comprehensive curriculum covering algorithms, optimisation, neural networks, CNNs, RNNs, VAEs, GANs, and GNNs, supported by real datasets and industry-focused assignments. The programme is crafted for graduates and working professionals in Engineering, Technology, Computer Science, IT, and related disciplines who wish to build or advance expertise in applied AI. With a DTU-designed curriculum, learners develop the ability to evaluate models, design pipelines, and translate AI techniques into meaningful business and technical outcomes. The 6-month programme includes a 3-day campus immersion at DTU, combining theory with hands-on practice across 8 structured modules culminating in a self-paced capstone project. Learners gain industry-relevant skills and receive prestigious DTU credentials upon completion.

Instructors:

Prof. S. Indu

Prof. S. Indu

English

Degree Course Image
  • Course Start Date:

    12th Sep, 2026

  • Application Deadline:

    23rd May, 2026

  • Duration:

    6 Months

1,10,000

Overview

The Delhi Technological University Advanced Certificate Programme in Artificial Intelligence is a structured, application-driven learning experience that equips participants with modern AI techniques and the confidence to deploy them in real-world settings. Developed by DTU, a premier engineering and technology institution, the programme combines foundational rigour with intensive practical exposure across AI, ML, and Deep Learning domains. Participants engage with a carefully sequenced 8-module curriculum covering AI Literacy, Python and Data Thinking, Mathematical Foundations, Regression and Classification Methods, Deep Learning, and Advanced AI including Generative AI. The programme culminates in a self-paced Capstone Project that consolidates all skills learned. A 3-day on-campus immersion at DTU adds direct institutional engagement to the learning journey. Designed for graduates and working professionals in technology-aligned fields, this programme provides both the theoretical grounding and hands-on coding experience needed to evaluate AI models, build ML pipelines, and apply advanced techniques such as GANs, VAEs, and GNNs. Completion earns a prestigious DTU Advanced Certificate credential.

Why Technology & Analytics?

This programme stands out for its direct institutional association with Delhi Technological University, one of India's most respected engineering universities. The curriculum is designed and validated by DTU faculty, ensuring academic rigour alongside applied relevance. Learners benefit from a structured progression from AI fundamentals to advanced topics including Generative AI and Graph Neural Networks, making it one of the most comprehensive short-format AI programmes available. The inclusion of a 3-day campus immersion experience at DTU provides a distinctive advantage—participants engage with the university environment, network with peers and faculty, and earn credentials that carry genuine institutional weight. The programme's Direct to Device delivery model ensures flexibility for working professionals, while the structured module design supports consistent progress. For professionals seeking to transition into or advance within AI and ML roles, this programme offers a credible, time-efficient pathway backed by DTU's academic standing. The combination of coding practice, real datasets, industry-focused assignments, and a capstone project ensures participants graduate with a portfolio of practical skills ready for immediate deployment.

What does this course have to offer?

Key Highlights

6-month advanced AI programme by Delhi Technological University 3-day on-campus immersion at DTU (20 hours) 8 structured modules covering AI, ML, Deep Learning, and GenAI Hands-on practice with real datasets and industry-focused assignments Covers CNNs, RNNs, VAEs, GANs, and Graph Neural Networks Self-paced Capstone Project for end-to-end application Prestigious DTU Advanced Certificate credential Direct to Device learning format for working professionals Admission based on profile assessment and Statement of Purpose Designed for graduates and professionals with 1+ years of experience

Interested in career outcomes and specializations?

Who is this programme for?

Technical graduates in Engineering, Technology, Computer Science, IT, or Mathematical Sciences seeking to build advanced AI skills Working professionals with 1+ years in IT, software, analytics, or engineering domains looking to upskill in applied AI Early professionals aiming to transition into AI, Machine Learning, or Data Science roles Emerging AI learners who want structured, institute-backed learning in modern AI techniques Professionals pursuing advanced roles that demand proficiency in Deep Learning, GenAI, and model development

Minimum Eligibility

Graduates or postgraduates in Engineering, Technology, Computer Science, IT, Mathematical Sciences, or related disciplines Minimum 1+ years of work experience in IT, software, analytics, engineering, or allied domains Strong interest in building or advancing expertise in AI, ML, and Deep Learning Statement of Purpose required as part of application Selection based on profile assessment from application form and credentials

Not sure whether you qualify for this programme?

Who is the programme for?

Admission to the DTU Advanced Certificate Programme in Artificial Intelligence is competitive and based on a holistic assessment of the applicant's profile. Candidates are evaluated primarily through the information provided in their application form, with the Statement of Purpose forming an integral and important component of the selection process. Corporate nominations from organisations are also accepted. The application process involves seven steps: choosing the programme based on eligibility, completing the online application with accurate details, undergoing academic and admissions team review, receiving a formal admission offer if shortlisted, paying the course fee per the schedule, submitting documents for enrolment verification, and accessing the learning portal for onboarding. Academically, the programme spans 6 months and is structured across 8 modules progressing from foundational AI literacy and Python programming to advanced topics including Deep Learning and Generative AI. It concludes with a self-paced Capstone Project. A 3-day campus immersion at DTU is included at the end of the programme, offering 20 hours of direct on-campus learning and engagement.

Selection process

How to apply?

Curriculum

The DTU Advanced Certificate Programme in Artificial Intelligence follows a carefully structured 8-module curriculum that progresses from foundational literacy to advanced AI and Generative AI techniques. The curriculum is designed to ensure learners develop both conceptual clarity and hands-on implementation skills throughout the programme. The modules span AI Literacy and Industry Context, Python and Data Thinking for AI, Mathematical Foundations for AI and ML, Regression Methods, Classification Methods, Deep Learning, Advanced AI and Emerging Techniques, and a self-paced Capstone Project. Tools and frameworks relevant to each domain are integrated within the modules. The programme emphasises working with real datasets, building and evaluating models, and applying learning to industry-relevant scenarios. The curriculum covers key neural network architectures including CNNs, RNNs, VAEs, GANs, and GNNs, as well as optimisation techniques and algorithmic foundations. The Capstone Project enables learners to apply all acquired skills end-to-end, reinforcing practical competence and readiness for real-world AI roles.

There are 8 semesters in this course

Module 1 introduces AI Literacy and Industry Context, providing learners with a foundational understanding of the AI landscape, its evolution, and current industry applications across sectors. Module 2 focuses on Python and Data Thinking for AI, developing proficiency in Python programming as applied to data manipulation, exploration, and preparation for machine learning workflows. Module 3 covers Mathematical Foundations for AI and ML, building essential competence in linear algebra, calculus, probability, and statistics as they underpin AI and ML model design. Module 4 addresses Regression Methods, equipping learners with techniques for continuous outcome prediction including linear, polynomial, and regularised regression approaches. Module 5 explores Classification Methods, covering supervised learning algorithms such as logistic regression, decision trees, SVMs, and ensemble methods for categorical prediction tasks. Module 6 is a comprehensive Deep Learning module covering neural network architectures including CNNs for image tasks, RNNs for sequential data, and advanced generative architectures such as VAEs and GANs. Module 7 advances into cutting-edge topics including Graph Neural Networks, transformer-based models, and other emerging AI and GenAI techniques. Module 8 is a self-paced Capstone Project in which learners integrate skills from all prior modules to design, build, and evaluate an end-to-end AI solution on a real-world problem.

Module 1: AI Literacy & Industry Context

Module 2: Python & Data Thinking for AI

Module 3: Mathematical Foundations for AI/ML

Module 4: Regression Methods

Module 5: Classification Methods

Module 6: Deep Learning

Module 7: Advanced AI & Emerging Techniques

Module 8: Capstone Project (Self-Paced)

Programme Length

6 months total programme duration with Direct to Device learning format. Includes a 3-day (20-hour) on-campus immersion at Delhi Technological University at the end of the programme. Module 8 (Capstone Project) is self-paced.

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

Department of Policy & Management Studies TERI SAS, New Delhi

Prof Neeraj Sharma is a Professor of Practice at Public Policy and Management department at TERI SAS. Prof Sharma holds a PhD from the Department of Management Studies at IIT Delhi. He obtained his PhD in the area of strategy for quality and productivity. Prof Sharma also holds a Masters Degree in Human Resource Development and Management from IIT Kharagpur. Prof Sharma has authored chapters in management books and published papers in journals of repute. He has also authored a book titled Man Manthan, collection of short Hindi poems. At TERI SAS ,he takes keen interest in the subjects related to Personality Development , Indian Scriptures, Concepts of Happiness and Success. Prof Sharma carries a total experience of almost three decades working with the industry and academia. Prof Sharma has worked closely with various IIM's and IIT's and has carved out some most successful Programmes in the domain of executive education, these Programmes continue do well even after two decades of their existence. He takes keen interest in studying and teaching Authentic Indian Scriptures.

Prof. S. Indu

Prof. S. Indu

Dean , Digital Education, Delhi Technological University

Prof. S. Indu holds B.Tech and M.Tech degrees in Electrical Engineering from the University of Kerala and a PhD in Visual Sensor Networks from the University of Delhi. She joined Delhi College of Engineering (now DTU) in 1999 and currently serves as Dean (Digital Education) and Professor in the ECE Department. She has held several key leadership roles, including Vice Chancellor (Sept–Nov 2023), Dean of Student Welfare for six years, and Head of ECE for three years. A prolific researcher in Computer Vision, Sensor Networks, and Image Processing, she has supervised 18 PhDs, guided 45 M.Tech theses, published 200+ papers, authored books, and completed major sponsored projects. With three patents and multiple prestigious awards—including DTU’s Commendable Research Award for six consecutive years—she is regarded as an influential academic leader.

Tuition Fee

The fee structure for the DTU Advanced Certificate Programme in Artificial Intelligence has not been publicly disclosed on the programme page. Interested candidates are advised to enquire directly with TimesPro Programme Advisors for detailed fee and payment schedule information. Contact TimesPro for further details on costs and available payment options.

Fee Structure

Payment options

Need help understanding fees, EMI options, or scholarships?

Learning Experience

The DTU Advanced Certificate Programme in Artificial Intelligence delivers learning through a Direct to Device format, enabling working professionals to access high-quality content from any location. The programme combines structured online learning with a 3-day on-campus immersion at Delhi Technological University, providing a blended experience that balances flexibility with institutional engagement. Learners engage with a curriculum focused on implementation and application—working through real datasets, building and evaluating ML models, and tackling industry-focused assignments. The programme follows a progressive learning architecture, moving from AI fundamentals and Python foundations to advanced Deep Learning architectures and Generative AI techniques. The Capstone Project in Module 8 serves as the culminating learning experience, challenging participants to synthesise all acquired skills into an end-to-end AI solution. This hands-on project approach ensures learners develop not just theoretical understanding but genuine technical confidence in deploying AI solutions across real-world contexts.

University Experience

Delhi Technological University is one of India's premier engineering and technology institutions, with a strong legacy in applied research, technical education, and industry collaboration. The Advanced Certificate Programme in AI reflects DTU's commitment to expanding access to rigorous, practical AI education for working professionals. Participants benefit from a DTU-designed curriculum validated by the university's faculty and subject matter experts. The 3-day campus immersion at the end of the programme offers direct access to the DTU campus environment, facilitating peer networking, faculty interaction, and an authentic institutional experience that reinforces the programme's credential value. On completion, participants receive a prestigious DTU Advanced Certificate in Artificial Intelligence, a credential that carries the recognition of one of India's leading technical universities. This institutional association strengthens participants' professional profiles and signals a commitment to rigorous, structured learning in AI.

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About the University

University

Delhi Technological University (DTU) is a premier state-level technical university in New Delhi, originally founded in 1941 as the Delhi College of Engineering. Renowned for its rigorous academic standards and elite engineering programs, it consistently ranks among India's top institutions for innovation and technical education. The university is particularly famous for its massive 164-acre campus, its vibrant "Engifest" cultural festival, and a powerhouse placement cell that connects students with top-tier global tech giants and high-paying domestic firms.

~15,000+ (UG, PG & PhD

Total Student Strength

164 Acres (Main) + 2.06 Acres (East)

Campus Size

#30 (Engineering) | #42 (University)

NIRF Ranking 2025

Affiliation & Recognition

University Grants Commission (UGC)

University Grants Commission (UGC)

NAAC Accreditation

NAAC Accreditation

AICTE

AICTE

Association of Indian Universities (AIU)

Association of Indian Universities (AIU)

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

Department of Policy & Management Studies TERI SAS, New Delhi

Prof Neeraj Sharma is a Professor of Practice at Public Policy and Management department at TERI SAS. Prof Sharma holds a PhD from the Department of Management Studies at IIT Delhi. He obtained his PhD in the area of strategy for quality and productivity. Prof Sharma also holds a Masters Degree in Human Resource Development and Management from IIT Kharagpur. Prof Sharma has authored chapters in management books and published papers in journals of repute. He has also authored a book titled Man Manthan, collection of short Hindi poems. At TERI SAS ,he takes keen interest in the subjects related to Personality Development , Indian Scriptures, Concepts of Happiness and Success. Prof Sharma carries a total experience of almost three decades working with the industry and academia. Prof Sharma has worked closely with various IIM's and IIT's and has carved out some most successful Programmes in the domain of executive education, these Programmes continue do well even after two decades of their existence. He takes keen interest in studying and teaching Authentic Indian Scriptures.

Prof. S. Indu

Prof. S. Indu

Dean , Digital Education, Delhi Technological University

Prof. S. Indu holds B.Tech and M.Tech degrees in Electrical Engineering from the University of Kerala and a PhD in Visual Sensor Networks from the University of Delhi. She joined Delhi College of Engineering (now DTU) in 1999 and currently serves as Dean (Digital Education) and Professor in the ECE Department. She has held several key leadership roles, including Vice Chancellor (Sept–Nov 2023), Dean of Student Welfare for six years, and Head of ECE for three years. A prolific researcher in Computer Vision, Sensor Networks, and Image Processing, she has supervised 18 PhDs, guided 45 M.Tech theses, published 200+ papers, authored books, and completed major sponsored projects. With three patents and multiple prestigious awards—including DTU’s Commendable Research Award for six consecutive years—she is regarded as an influential academic leader.

Career services

The Training and Placement (T&P) Cell at Delhi Technological University (DTU) acts as a centralized bridge between students and the global corporate sector, managing all aspects of internships and full-time recruitment. The department provides comprehensive career support through personality development workshops, mock interviews, and industry-specific seminars to enhance student employability across engineering and management disciplines. By hosting hundreds of premier recruiters annually—including Google, Microsoft, and Amazon—the cell consistently achieves high placement percentages and record-breaking salary packages. Additionally, DTU offers long-term career guidance, connecting students with a vast alumni network and providing resources for those pursuing higher studies or entrepreneurial ventures.

2,050+ (Across all programs)

Students Placed

85% - 90% (Circuital Branches)

Placement Percentage

₹15.4 Lakhs PA

Average Package (Overall)

Top Recruiters

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Degree Course Image
  • Course Start Date:

    12th Sep, 2026

  • Application Deadline:

    23rd May, 2026

  • Duration:

    6 Months

1,10,000

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.