AI and ML in 3D Printing FDP 2026

Educators and research scholars looking to master the intersection of advanced computation and manufacturing can now apply for the AI and ML in 3D Printing FDP 2026 at K. S. Institute of Technology (KSIT). This AICTE Training and Learning (ATAL) Academy sponsored program offers a comprehensive deep dive into how artificial intelligence is revolutionizing Industry 4.0 and 5.0. Specifically, the curriculum bridges the gap between theoretical machine learning algorithms and practical additive manufacturing applications, making it an essential opportunity for those aiming to lead in next-gen material research.

Program Highlights

Feature	Details
Program Title & Code	Application of AI & ML in 3D Printing for Next-Gen Materials (App No: 1741773890)
Organizing Institution	K. S. Institute of Technology (KSIT), Dept. of Mechanical Engineering
Dates & Duration	January 19, 2026 – January 24, 2026 (6 Days)
Mode of Delivery	Offline
Daily Schedule	9:00 AM – 5:30 PM (Includes Theory, Hands-on, and Industry Visit)

Program Overview

The primary objective of this Faculty Development Program (FDP) is to empower participants with the skills needed to integrate AI and ML into 3D printing workflows. Consequently, the sessions focus on the transition from traditional manufacturing to smart, data-driven systems. Specifically, the program highlights the role of predictive maintenance, generative design, and in-situ process monitoring. The Department of Mechanical Engineering at KSIT, which has been a hub for research since 1999, hosts this initiative to foster innovation among the academic community.

Target Audience: * Faculty members from AICTE-approved institutions.

Research Scholars and PhD Candidates.
Postgraduate (PG) students.
Industry professionals specializing in Additive Manufacturing.

Eligibility Criteria

To participate in this sponsored offline program, applicants must be affiliated with an AICTE-approved institution or a relevant industrial organization. Specifically, the program is open to faculty, research scholars, and industry practitioners in the fields of Mechanical, Manufacturing, and Computer Science Engineering. Furthermore, selection is strictly based on a first-come, first-serve basis, with online registration being mandatory for all candidates.

Curriculum & Topics Covered

The six-day curriculum is meticulously structured to cover the complete lifecycle of AI-powered manufacturing.

Module 1: Fundamentals of AI, ML, and 3D Printing in Industry 4.0 & 5.0.
Module 2: AI-Driven Process Optimization and predictive maintenance.
Module 3: Generative Design and AI for smart material selection.
Module 4: Quality control and defect detection using Machine Learning.
Module 5: In-situ process monitoring and real-time correction techniques.
Module 6: Next-gen trends including Quantum Computing and 4D Printing.
Practical: Live demonstration of building, fabricating, and printing a part.

Resource Persons

The program features a distinguished panel of experts from premier institutes and leading industries:

Dr. Y Ravikumar: Professor, National Institute of Technology (NIT), Warangal.
Mr. Akshay MR: Technical Project Manager, Bosch India Pvt. Ltd.
Mr. Shambulingaiah B M: Assistant Manager, Ernst & Young.
Mr. Vijay Kumar Walikar: Technical Project Manager, Bosch India Pvt. Ltd.
Dr. Srinivasa Chari V: Associate Professor, Atria Institute of Technology.
Dr. Manjaiah M: Assistant Professor, NIT Warangal.
Mr. Leelakrishnan: Assistant Manager, WIPRO 3D.
Dr. MR Ramesh: Professor, NIT Suratkal.
Dr. R Suresh: Professor, M S Ramaiah University of Applied Science.
Mr. Abhinandan Rao: Technical Lead, Bosch India Pvt. Ltd.

Learning Outcomes

By the end of this intensive training, participants will be equipped to:

Apply ML algorithms for predictive analysis and defect detection in manufacturing.
Utilize AI-based tools for generative design and advanced simulations.
Understand the integration of Industry 4.0/5.0 in smart manufacturing environments.
Identify high-impact research opportunities in AI-powered additive manufacturing.

Certification & Assessment

Certificates are issued by the AICTE ATAL Academy. To be eligible, participants must:

Maintain a minimum of 80% attendance across all sessions.
Successfully clear the MCQ-based assessment test on the final day.
Submit the mandatory Reflection Journal and feedback on the ATAL portal.

Registration Details

Detail	Information
Registration Portal	click here
Application Deadline	January 05, 2026
Selection Intimation	January 12, 2026
Confirmation Date	January 15, 2026
Registration Fee	Nil (Free of Cost)
Schedule Link	Download
Brochure Link	Download

Contact Information

For any queries regarding the application process or local arrangements, please contact the coordinators:

Dr. Anilkumar A: +91 8197975168 | anilkumara@ksit.edu.in
Dr. Umashankar M: +91 9901933334 | umashankarm@ksit.edu.in
Venue: K. S. Institute of Technology, #14, Kanakapura Main Road, Bengaluru – 560109.

Key Highlights

The program stands out due to its strong industry linkage. In addition to expert lectures, participants will undergo an Industrial Visit to WIPRO 3D in Peenya. Furthermore, daily hands-on training sessions ensure that the theoretical concepts of AI and ML are translated into practical manufacturing skills.

Frequently Asked Questions (FAQs)

Is there any registration fee for the AI and ML in 3D Printing FDP 2026?
No, there is no registration fee. This is a fully sponsored program by the AICTE ATAL Academy.

Who is eligible to apply for this program?
The program is open to faculty members, research scholars, PG students from AICTE-approved institutions, and industry professionals.

Will accommodation be provided for outstation participants?
Participants should contact the program coordinators at KSIT Bengaluru for specific information regarding accommodation and TA/DA allowances.

Is it a physical or online program?
This is a Basic Offline FDP conducted at the K. S. Institute of Technology campus in Bengaluru.

What are the requirements for the certificate?
You must maintain 80% attendance and score a minimum percentage (usually 60-70%) in the final MCQ assessment test.

AI and ML in 3D Printing FDP 2026 and K. S. Institute of Technology, Bengaluru (Jan 19, 2026)