Name: Applications of Artificial Intelligence for Engineering Industy
Rating: 4.0 (28 reviews)

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Applications of Artificial Intelligence for Engineering Industy

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3072 views

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1 hr

Dec 15, 2023 · 3:30 PM

3072 views

Kapil Singh

Session recordings included

Why enroll

AI is expected to play an increasingly important role in our lives in the coming years. By learning AI, you can prepare yourself for the future and stay ahead of the curve. AI can help automate repetitive tasks, freeing up time for more complex and creative work. This can lead to increased efficiency and productivity in the workplace. As AI becomes more prevalent in our daily lives, it is important to have a basic understanding of how it works. Learning AI can help you develop digital literacy skills that will be valuable in the future.

This course will give you an introduction to applications of artificial intelligence in our daily lives.

Your instructor

Kapil Singh

Chief Evangelist

20+ yrs experience·India

16Courses

52Learners

4Avg rating

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Course details

Key topics covered

Understanding AI

Decoding Machine Learning

various applications of AI

Career Opportunities

Training details

This is a live course that has a scheduled start date.

Live session

Started

Fri, Dec 15, 2023 Ended

3:30 PM UTC· your timezone

Duration

1 hour per day

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Industry-aligned courses, expert training, hands-on learning, recognized certifications, and job opportunities-all in a flexible and supportive environment.

COMPLETED

Dec 15, 2023 · 3:30 PM

Questions and Answers

Q: In predictive maintenance using machine learning for rotating equipment vibration analysis in industrial plants, which data issue most often causes false positives in bearing failure alerts?

A: Back-of-envelope: if your model accuracy looks great in training but alarms spike right after deployment, check whether future maintenance events leaked into historical labels—this inflates apparent precision without adding real signal.

Q: For computer vision–based surface defect detection using convolutional neural networks on steel coil inspection lines, what is the primary constraint driving edge deployment over cloud inference?

A: Quick math: if the line runs 2 m/s and latency adds 200 ms round-trip, defects shift 40 cm before rejection—too late to actuate reliably.

Q: When applying reinforcement learning for process optimization in continuous chemical manufacturing with real-time control constraints, what is the dominant operational hazard?

A: Envelope check: RL needs trial-and-error; in a reactor, one bad action can exceed temp or pressure limits faster than interlocks respond.

Q: In digital twin development using physics-informed neural networks for structural health monitoring of bridges, which input error most degrades model credibility?

A: Sanity check: if loads and constraints are wrong, even a perfect solver predicts the wrong deflection—AI can’t fix bad physics.

Applications of Artificial Intelligence for Engineering Industy

Applications of Artificial Intelligence for Engineering Industy

Why enroll

Your instructor

Kapil Singh

Is this course for you?

You should take this if

You should skip if

Course details

Key topics covered

Training details

Why people choose EveryEng

Questions and Answers

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