

Amity Online Certificate in AI in Manufacturing





Amity Online AI in Manufacturing Certificate - About & Overview
The Amity Online AI in Manufacturing Certificate is intended for engineers, plant managers, and operations professionals interested in using AI to tackle actual factory challenges. The program is available through Amity University Online, provided by the School of AI in 3 months and 51 hours long period. The coursework consists of Weekend Live Classes, recorded classes, and webinars, allowing students to learn without interfering with their work week.
The curriculum covers 5 modules, covering overview of AI in manufacturing, predictive maintenance and quality control, supply chain optimization, automation and digital twins, and workforce transformation and safety. Graduates can find employment as AI in Manufacturing Engineer, Predictive Maintenance Specialist, Robotics and Automation Engineer, and Supply Chain Analytics Consultant. Led by AI Automation expert Dr. Munendar, this online certificate course from Amity offers students a practical introduction to pedestrian tracking, visual inspection and machine anomaly detection in real-world applications.
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Other Online Certificates Offered By Amity University
Amity Certificate in AI in Manufacturing Fees 2026
The Amity Certificate in AI in Manufacturing Fees is offered at an affordable price, making it accessible for manufacturing and operations professionals looking to build AI-driven skills in short period.
₹ 9,999/-
Total Program Fee
For 3 Months

Amity Certificate in AI in Manufacturing Syllabus
The Amity AI in Manufacturing certification curriculum covers 5 structured modules that progress from foundational AI concepts to predictive maintenance, supply chain optimization, robotics, and workforce transformation.
Defining AI, ML, and DL in the manufacturing context
Tracing the evolution from Industry 3.0 to Industry 5.0
Analyzing manufacturing data systems (MES, SCADA, PLC, ERP, IIoT)
Comparing edge vs cloud AI for factory deployments
Applying AI techniques like computer vision and time-series analytics
Evaluating risks, KPIs, and governance for manufacturing AI
Quick Facts
- Skills Covered - Predictive maintenance, computer vision QC, demand forecasting, digital twins, robotics, and OT cybersecurity.
- Learning Outcomes - AI fundamentals in manufacturing, evaluating factory AI solutions, practical implementation, safety and governance, and real-world case study analysis.
Amity Online Scholarships: Up to 45% Off First Semester Fees


Divyaang (for learners with special needs)
Applicants are required to submit a valid certificate of disability issued by a recognized authority in accordance with government norms.
Defence Personnel Scholarship
Applicants are required to have a minimum of 2 years of service in the defence forces with a valid Identity Card number.
Amity Alumni Scholarship
Applicants must have completed their previous degree from Amity University and are applying for further studies within the institution.
Merit-Based Scholarship
Applicants must have academic excellence with a minimum 85% aggregate in the previous qualification.
Sports Scholarship (CHAMPS)
Applicants must be a state, national, or international-level sportsperson with a valid affiliation from the respective sports federation.
Claim your
scholarship today!
Key Insights You must know before choosing
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Your Amity AI in Manufacturing Certificate Sample
- Upon successful completion, you will receive a recognized Certificate in AI in Manufacturing from Amity Online.
- This certificate reflects your understanding of supply chain AI, workforce safety analytics, and other relevant skills.

Exam Pattern
Amity AI in Manufacturing Certificate Eligibility Criteria
Educational Qualification
No programming background is needed. Basic comfort with data and analytics is preferred.
Suitable For
Individuals with exposure to manufacturing, operations, industrial engineering, or production management.
Amity AI in Manufacturing Certificate Admission Process 2026
Amity Online Certificate in AI in Manufacturing Placement 2026: Jobs, Salaries & Hiring Partners
Placement Highlights
Note: Salary figures are indicative, based on industry averages. Actual packages may vary depending on experience, role, and employer.














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Clear Your Doubts Before Enrolling
in Amity Online Certificate in AI in Manufacturing
In the Predictive Maintenance and Quality Control module, students learn how to apply Remaining Useful Life (RUL) modelling, sensor analytics to detect anomalies, FMEA and criticality analysis to apply predictive maintenance programs in real factory environments, and computer vision to perform automated defect inspection.
The Robotics, Automation and Digital Twins module enables learners to create and manage digital twins of assets, processes and complete manufacturing systems, encompassing simulation and virtual commissioning for lifecycle management, assisting professionals to evaluate and test factory systems prior to their physical deployment.
Yes. The Workforce Transformation and Safety module covers AI-powered ergonomics monitoring, PPE detection, fatigue tracking, near-miss safety analytics, and OT cybersecurity, including how to address worker privacy and consent when deploying AI surveillance and monitoring systems in manufacturing environments.
The program is designed around industry-specific issues like predictive maintenance, supply chain optimization, robotics and digital twins, and contains no external pretexts. Rather than covering general AI theory, every module applies AI concepts directly to industry problems using manufacturing data systems like MES, SCADA, PLC, ERP, and IIoT.
The Online AI Certificate in Manufacturing at Amity is a 3-month, 51-hour program, taught by an AI and industrial automation expert.
The skills taught in this certification are essential for several roles, including Predictive Maintenance Specialist, Robotics and Automation Engineer, Manufacturing Data Analyst, Supply Chain Analytics Consultant, Digital Transformation Manager, Industrial IoT Solutions Architect, and AI in Manufacturing Engineer.
The Supply Chain Optimization module focuses on AI-driven demand forecasting, inventory optimization, supplier risk analytics, AI-powered logistics routing, and sustainability planning, providing supply chain professionals with a practical suite of tools for tackling cost and efficiency issues.
Yes. The program has been designed to be accessible to all manufacturing and operations professionals who do not have a technical background, but progressively build up AI literacy and also address change management, vendor selection, and implementation frameworks more specifically tailored to plant managers who are leading through Industry 4.0 transitions.
Yes. The curriculum covers the evolution of Industry 3.0 to 5.0, and topics such as cobots and human-robot collaboration, digital twins, AI-enabled sustainability, and human-centric AI design, which are key for Industry 4.0 integration and are key to Industry 5.0 priorities.
Yes. The curriculum includes an overview of large-scale enterprise manufacturing systems as well as the challenges associated with implementing AI in smaller-scale factory environments, including Data Readiness Assessment, Edge vs Cloud AI for Factory Deployments, and Cost-benefit analysis for AI initiatives in different sizes of industrial operations.
The certification is best suited for manufacturing engineers, plant managers, supply chain and operations professionals, industrial automation and robotics engineers, quality and maintenance specialists, IT and OT integration professionals, and business leaders aiming to lead AI transformation in their manufacturing organisations.
The course fee is ₹29,999, available at a special launch offer price of ₹9,999 for the upcoming batch. There is no separate application fee.
The next batch starts on 22nd August 2026. Candidates should submit an enquiry, and you can connect with CollegeSathi for an easy admission process.
Unlike some programs that schedule live sessions on weekdays, this certification uses a Weekend Live Class format, allowing manufacturing engineers, plant managers, and operations professionals to attend structured sessions without impacting their regular work schedules during the week.
Familiarity with manufacturing data systems such as MES, SCADA, PLC, ERP, or IIoT can be helpful context, but is not required to enroll.
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