AI in Mechanical Engineering

Transform Mechanical Engineering with Artificial Intelligence

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Enroll now for early access of e-LMS

MODE
Online/ e-LMS

TYPE
Self Paced

LEVEL
Moderate

DURATION
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.

Intended For

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!

List of Currencies

FOR QUERIES, FEEDBACK OR ASSISTANCE

Key Takeaways

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.