Online/ e-LMS
Self Paced
Moderate
1 Month
About
The AI in Mechanical Engineering Program focuses on integrating AI techniques with core mechanical engineering principles. It covers predictive maintenance, smart manufacturing, simulation, and quality control applications. Through practical projects and real-world case studies, participants will gain hands-on experience in using AI to solve mechanical engineering challenges, preparing them for future-ready roles in advanced manufacturing, automation, and engineering analytics.
Aim
This program equips mechanical engineers with the skills to apply artificial intelligence (AI) and machine learning (ML) techniques in engineering tasks. Participants will learn how AI enhances design, manufacturing, maintenance, and quality control in mechanical engineering, gaining insights into data-driven approaches to optimize mechanical processes.
Program Objectives
- Understand core AI techniques and their applications in mechanical engineering.
- Develop skills in predictive maintenance, smart manufacturing, and AI-driven design.
- Learn to apply AI in quality control and defect detection for manufacturing.
- Gain hands-on experience with AI tools and techniques relevant to mechanical engineering.
- Complete a capstone project that demonstrates practical AI application in a mechanical context.
Program Structure
Module 1: Introduction to Artificial Intelligence and Machine Learning
- Overview: This module introduces the core principles of AI and machine learning, focusing on applications in mechanical systems.
- Topics Covered:
- Basics of AI and machine learning
- Data analytics for mechanical engineering
- Introduction to supervised and unsupervised learning
- Project: Develop a simple machine learning model to predict mechanical system failures using historical data.
Module 2: Predictive Maintenance Using AI
- Overview: Learn to implement predictive maintenance using AI to anticipate equipment failures and improve efficiency.
- Topics Covered:
- Predictive maintenance concepts and techniques
- Data collection and processing from mechanical systems
- Predictive models for maintenance scheduling
- Project: Design a predictive maintenance model for an industrial machine, aiming to reduce downtime and enhance reliability.
Module 3: AI in Design Optimization
- Overview: Explore how AI can be used to optimize engineering designs, reducing costs and improving performance.
- Topics Covered:
- AI-driven design optimization techniques
- Generative design and simulation using AI
- Multi-objective optimization in mechanical systems
- Project: Apply AI techniques to optimize the design of a mechanical component, balancing performance and material cost.
Module 4: Smart Manufacturing and Automation with AI
- Overview: Understand the role of AI in smart manufacturing, covering automation, quality control, and real-time monitoring.
- Topics Covered:
- AI in process automation and robotics
- Quality control using AI and computer vision
- Real-time data monitoring for process optimization
- Project: Develop an AI-based quality control system for a manufacturing line, using computer vision to detect defects.
Module 5: Capstone Project in AI for Mechanical Engineering
- Overview: Apply your skills in a capstone project focused on solving a real-world mechanical engineering problem using AI.
- Project Options:
- Design an AI-powered predictive maintenance system for a fleet of industrial machines.
- Create a generative design algorithm that optimizes a mechanical part for strength and weight.
- Develop a smart manufacturing solution that integrates AI-driven quality control and process optimization.
- Outcome: Complete a comprehensive AI project in mechanical engineering, showcasing your ability to apply AI to engineering challenges.
Participant’s Eligibility
- Mechanical Engineers: Looking to integrate AI technologies into their engineering practices.
- Engineering Students and Graduates: Interested in machine learning, data analytics, and automation.
- Professionals in Manufacturing and Maintenance: Seeking advanced skills in AI-driven solutions for maintenance and optimization.
Program Outcomes
- Proficiency in applying AI to predictive maintenance and process optimization.
- Ability to use machine learning in quality control and defect detection.
- Knowledge of AI-driven design and simulation tools for engineering.
- Experience in developing real-world AI applications in mechanical engineering.
Fee Structure
Standard Fee: INR 9,998 USD 298
Discounted Fee: INR 4999 USD 149
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
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Key Takeaways
Program Deliverables
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
Future Career Prospects
- AI Engineer in Mechanical Engineering
- Predictive Maintenance Specialist
- Robotics and Automation Engineer
- Quality Control Analyst with AI expertise
- Energy Management Engineer
- Product Design Engineer with AI tools
Job Opportunities
- Automotive, aerospace, and manufacturing companies implementing smart manufacturing.
- Engineering firms utilizing AI for predictive maintenance and quality control.
- Robotics and automation companies requiring engineers with AI knowledge.
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