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Self Paced

AI and Automation in Mechanical Engineering Program

Learn how AI-driven solutions are transforming mechanical engineering. Gain hands-on skills in automated design, predictive maintenance, and robotic control systems.

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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 and Automation in Mechanical Engineering Program is designed to equip you with the skills needed to integrate artificial intelligence and automation into mechanical engineering processes. As industries increasingly adopt AI, this program prepares you to take on critical roles where AI-driven solutions improve efficiency, productivity, and innovation.
The AI and Automation in Mechanical Engineering Program at NanoSchool.in is designed to equip you with the skills needed to integrate artificial intelligence and automation into mechanical engineering processes. As industries increasingly adopt AI, this program prepares you to take on critical roles where AI-driven solutions improve efficiency, productivity, and innovation.

Key Features:
– Comprehensive Curriculum: Covers AI algorithms, robotics, automation systems, and predictive maintenance.
– Practical Learning: Hands-on projects using industry-standard tools like MATLAB, Python, and PLC programming.
– Industry Connections: Gain insights from guest lecturers who are leaders in AI and automation.
– Certification: Earn a globally recognized certificate to enhance your career prospects.

Aim

The primary aim of the AI and Automation in Mechanical Engineering Program is to equip participants with the knowledge, skills, and practical experience necessary to integrate artificial intelligence and automation technologies into mechanical engineering processes. This program focuses on enhancing efficiency, productivity, and innovation within various industrial settings by preparing engineers and professionals to leverage AI-driven solutions in their work.
Specific Objectives:

Develop a Strong Foundation in AI: To provide participants with a comprehensive understanding of AI principles, machine learning algorithms, and their applications in mechanical engineering.
Enhance Skills in Automation: To teach participants how to design and implement automation systems that improve operational efficiency and reduce downtime through predictive maintenance and robotics.
Promote Hands-On Learning: To engage participants in practical projects using industry-standard tools and software, ensuring they gain real-world experience that can be applied immediately in their careers.
Facilitate Career Advancement: To prepare participants for advanced roles in the mechanical engineering sector, enabling them to take on challenges related to AI and automation, thus enhancing their career prospects.
Encourage Innovative Problem Solving: To cultivate a mindset of innovation, encouraging participants to develop unique solutions to complex mechanical engineering problems using AI and automation technologies.

Program Structure

This comprehensive program is divided into five modules that build a strong foundation in AI applications and automation processes, progressing to more advanced topics.
Module 1: Foundations of AI in Mechanical Engineering

Overview: Introduces the basics of AI and its applications in mechanical engineering, covering AI algorithms, data processing, and their role in automation.
Topics Covered:
- Introduction to AI and machine learning
- Fundamentals of data processing for mechanical applications
- AI-driven decision-making in manufacturing
Project: Use Python to develop a basic AI model that can optimize mechanical systems.

Module 2: Robotics and Automation Control Systems

Overview: Explore the role of robotics in automation and control systems. Learn how to develop and implement control systems for robotic applications in mechanical engineering.
Topics Covered:
- Robot kinematics and dynamics
- Programming industrial robots
- Control systems for automation
Project: Program and control a robotic arm to perform tasks in a simulated environment.

Module 3: AI-Driven Predictive Maintenance

Overview: Focuses on using AI for predictive maintenance to reduce downtime and improve efficiency. Learn to design systems that predict and prevent mechanical failures.
Topics Covered:
- Predictive maintenance algorithms
- Data analysis for predictive maintenance
- Sensor integration and data collection
Project: Build a predictive maintenance model using machine learning to identify potential failures in mechanical systems.

Module 4: Advanced AI Applications in Design and Manufacturing

Overview: Covers advanced AI applications in design optimization, quality control, and process automation. Gain the skills to apply AI to real-world mechanical engineering problems.
Topics Covered:
- AI in CAD and CAM (Computer-Aided Manufacturing)
- Design optimization and quality assurance using AI
- Real-time process monitoring with AI
Project: Develop an AI model that optimizes design for manufacturability, reducing material costs and production time.

Module 5: Capstone Project in AI and Automation

Overview: The capstone project allows you to apply what you’ve learned throughout the program to a comprehensive project focused on a real-world AI and automation challenge in mechanical engineering.
Project Options:
- Design an automated system that uses AI for real-time decision-making in a manufacturing process.
- Develop a predictive maintenance solution for a complex mechanical system.
- Create a fully automated robotic process with real-time monitoring and optimization.
Outcome: Gain hands-on experience in designing and implementing AI-driven automation solutions applicable to industrial settings.

Tools and Software Used
Gain practical experience with industry-standard tools:

Python and MATLAB: For AI model development and data processing.
PLC Programming: For control systems in industrial automation.
CAD/CAM Software (SolidWorks, AutoCAD): Integrate AI with design software to optimize mechanical designs.
Robot Operating System (ROS): Learn to program and control robotic systems in simulated environments.

Participant’s Eligibility

This program is ideal for:

Mechanical Engineers: Seeking to advance their careers by mastering AI and automation tools.
Engineering Students and Graduates: Who want to specialize in AI and automation within the mechanical field.
Professionals in Manufacturing and Automation: Looking to integrate AI into manufacturing processes to improve efficiency and productivity.

Program Outcomes

By the end of the AI and Automation in Mechanical Engineering Program, you will:

Master AI Algorithms: Understand and apply AI algorithms to optimize mechanical systems and processes.
Implement Predictive Maintenance: Use AI to predict and prevent mechanical failures, improving system reliability and efficiency.
Control Robotic Systems: Program and control robots for automation, enhancing productivity in manufacturing environments.
Optimize Designs: Use AI in CAD/CAM to create efficient, cost-effective designs.

Earn a Certification: Receive a globally recognized certificate showcasing your expertise in AI and automation within mechanical engineering.

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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

Placement Assistance

1. Career Advancement
This program provides you with specialized skills in AI and automation, two of the most in-demand areas in mechanical engineering today. By completing the program, you’ll be prepared for roles such as Automation Engineer, Robotics Specialist, or AI Engineer in mechanical and manufacturing industries.
2. Practical, Hands-On Learning
Through interactive projects and hands-on modules, you’ll gain experience with tools and technologies widely used in industry, making you job-ready upon completion.
3. Access to Industry Leaders
The program includes guest lectures from top professionals in AI and automation, giving you unique insights and networking opportunities with industry leaders.