IIT Delhi Announces 8th Batch of Advanced AI, ML and DL Certificate Programme
The Continuing Education Programme (CEP) at the prestigious Indian Institute of Technology Delhi has officially announced the commencement of admissions for the eighth batch of its highly regarded Advanced Certificate Programme in Artificial Intelligence, Machine Learning, and Deep Learning. This comprehensive educational initiative, previously known as the Certificate Programme in Machine Learning and Deep Learning, represents a significant opportunity for graduates and postgraduates seeking to develop expertise in these transformative technologies, regardless of their prior experience in the field.
Programme Structure and Delivery Format
Scheduled to commence on 26th July 2026 and concluding on 22nd January 2027, this intensive programme will be delivered through the innovative eVIDYA online platform. This digital format enables participants from across India and international locations to engage with the curriculum from the convenience of their homes or workplaces. The programme carries a fee of ₹1,95,000 plus an additional 18% GST, with admissions currently open for qualified candidates.
The educational structure encompasses 80 hours of live online learning sessions, supplemented by a robust framework of assignments, quizzes, and capstone projects. An optional one-day immersive campus visit at IIT Delhi's campus provides participants with valuable in-person engagement opportunities. Classes are scheduled on Saturdays and Sundays from 10:00 AM to 12:00 PM IST, offering working professionals and students a convenient weekend learning schedule.
Comprehensive Curriculum Design
The programme's curriculum has been meticulously designed to guide learners from foundational concepts to advanced applications in artificial intelligence, machine learning, and deep learning. The educational journey begins with essential building blocks including Python programming, data analytics, and applied mathematics, establishing a solid technical foundation for subsequent modules.
Participants then progress to core machine learning and deep learning components, exploring neural networks, sophisticated deep learning architectures, and practical AI applications across various domains. The curriculum places special emphasis on real-world implementation, with participants gaining hands-on experience using industry-standard tools such as Python, TensorFlow, Keras, Scikit-learn, Visual ML Lab, and Visual DL Lab.
Notably, the programme includes exclusive sessions on Retrieval-Augmented Generation (RAG) and Agentic AI, providing learners with exposure to cutting-edge developments in artificial intelligence that are shaping contemporary technological landscapes.
Practical Learning and Assessment Framework
A distinctive feature of this programme is the Bring Your Own Project (BYOP) capstone component, where participants implement practical AI and machine learning solutions, applying concepts acquired throughout the course to real-world scenarios. This hands-on approach is further reinforced through assignments, quizzes, and case studies that strengthen practical understanding.
The assessment methodology employs a comprehensive evaluation system: a 50% weightage for an end-of-programme multiple-choice examination, 20% for assignments and quizzes, 20% for the capstone project, and 10% for attendance. This balanced approach ensures participants demonstrate both theoretical knowledge and practical application skills.
Eligibility Requirements and Programme Benefits
The programme welcomes graduates and postgraduates from engineering, computer science, mathematics, statistics, electronics, physics, artificial intelligence, data science, and related disciplines. With its expert-led sessions, practical orientation, and structured progression from fundamentals to advanced concepts, the programme equips participants to confidently leverage AI, machine learning, and deep learning technologies across diverse domains including computer vision, natural language processing, data analytics, and AI-driven systems.
Through interactive live online sessions, participants engage directly with distinguished IIT faculty members and industry experts, gaining insights from leaders in artificial intelligence research and application. The programme's combination of theoretical depth and practical implementation prepares graduates to address complex challenges in technology-driven environments.
Admissions are currently open for this immersive AI learning experience, with interested candidates encouraged to apply online to secure their participation in this prestigious educational opportunity from one of India's premier technological institutions.
