GPMS Transportal Applied AI For Lab Courses

5. AI for Engineering Disciplines

Computer Vision Fundamentals

41. AI-DRIVEN INNOVATION IN MECHANICAL ENGINEERING

This course explores how AI is revolutionizing mechanical engineering, focusing on design, manufacturing, predictive maintenance, and optimization of mechanical systems. Tailored for mechanical engineers, product designers, and professionals in industries like automotive, aerospace, and manufacturing, it demonstrates practical AI applications to enhance engineering processes.

Level - Intermediate

Prerequisites -Background in mechanical engineering or related fields.

Duration - 36 Hours (6 Hours per week - 2 Hrs x 3)

Assessments -Micro Assessment weekly, Full Assessment in the final week.

Computer Vision Fundamentals

42. THE FUTURE OF ELECTRICAL ENGINEERING WITH AI

This course delves into how AI is shaping the future of electrical engineering, from circuit design to energy distribution. Aimed at electrical engineers, control systems professionals, and power systems engineers, it offers practical AI applications that optimize electrical systems for the future.

Level- Intermediate

Prerequisites-Background in electrical engineering or related fields.

Duration-36 Hours (6 Hours per week - 2 Hrs x 3)

Assessments -Micro Assessment weekly, Full Assessment in the final week.

Computer Vision Fundamentals

43. AI FOR CHEMICAL ENGINEERING: THE NEXT FRONTIER

This course explores how AI transforms chemical engineering, with applications ranging from process optimization to sustainability and safety. Tailored for chemical engineers, process engineers, and professionals in industries like petrochemicals and pharmaceuticals, it covers practical AI methods for improving chemical processes.

Level- Intermediate

Prerequisites-Background in chemical engineering or related fields.

Duration- 36 Hours (6 Hours per week - 2 Hrs x 3)

Assessments - Micro Assessment weekly, Full Assessment in the final week.