Industrial Applications of AI

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Industrial Applications of AI

Coursera · Beginner ·📐 ML Fundamentals ·1mo ago
The course Embarks on a transformative learning journey exploring the power of Artificial Intelligence across diverse fields such as electrical, mechanical, civil, and general applications. This course elevates the learner’s insight on AI towards the real-world practices by bridging the gap between theory and practical applications. It also provides hands-on experience of applying AI algorithms into potential applications. The examples of AI in healthcare provided in the course will enlighten the learners with an end-to-end perspective of real-world solutions. This course is crafted to introduce key AI principles required for challenging real-time applications of electrical engineering like load predictions and fault diagnosis in substations. The course also covers the application of AI in mechanical engineering, encompassing seismic data processing, geo-modelling, and reservoir engineering. The civil engineering learners will learn about AI's role in cloud data collection at construction sites and its applications in transport engineering and road traffic prediction. Immerse yourself in the future of AI with a focus on Machine and Deep learning operations, gaining insights that enable you to distinguish and apply AI based solutions to real-world challenges. Explore hands-on exercises with software support, gaining a comprehensive understanding of AI metrics. Enhance your skills and broaden your horizons with the power of AI.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

My Experience with Network Anomaly Detection Using 5 Different ML Approaches
Learn from a developer's experience with network anomaly detection using 5 different ML approaches to improve your skills in machine learning and network security
Medium · Machine Learning
My Experience with Network Anomaly Detection Using 5 Different ML Approaches
Learn from a developer's experience with 5 different ML approaches for network anomaly detection and improve your own detection skills
Medium · Cybersecurity
Sujar Henry on Why Access Still Isn’t Enough in Tech
ML expert Sujar Henry emphasizes that access to tech isn't enough, beginners need a clear path to follow
Medium · Machine Learning
The Day I Realized Most Developers Are Learning Python the Wrong Way
Learn how to apply Python skills by building real systems, rather than just finishing tutorials
Medium · Python
Up next
Generative Artificial Intelligence Full Course 2026 | Gen AI Tutorial For Beginners | Simplilearn
Simplilearn
Watch →