Predictive Maintenance of Helicopter using Machine Learning

Predictive Maintenance of Helicopter using Machine Learning
Workshop

The global market for predictive maintenance, including its application to helicopter maintenance is projected reach at $ 87 billion in 2032 with a CAGR of 26.5% from 2025 to 2032.

24th of August

Live Session

Reserve seat for ₹499

Limited to 100 Students. Hurry Up!!!

LEARN ALL RELEVANT SKILLS

DataAnalysis

Intelligence

Preprocessing

AerospaceAI

Python Programming

Program Curriculum

Introduction to Predictive Maintenance and Aviation Use Cases
Overview of Helicopter Turboshaft Engines & Common Failure Modes
Dataset Walkthrough and Problem Framing
Hands-On: Data Cleaning, Labeling, and Preprocessing
Model Building: Classification & Anomaly Detection
Testing and Evaluating the Model
Q&A + Future Scope in Predictive Maintenance

Understand the in depth concepts and tools you will learn throughout the program.

Explore our detailed curriculum!

Key Learning

Introduction to Predictive Maintenance

Learn how data-driven strategies are transforming aviation maintenance.

Understanding Helicopter Engine Data

Explore real-world sensor data from turboshaft engines to identify failure patterns.

Data Preprocessing Techniques

Gain hands-on skills in cleaning, labeling, and preparing time-series datasets.

Machine Learning for Fault Detection

Build classification models to detect early signs of engine failure.

Anomaly Detection Basics

Discover how to spot unusual patterns using unsupervised ML techniques.

Model Testing and Evaluation

Learn how to assess model accuracy and performance with real data.

Python Tools for Predictive Analytics

Use essential Python libraries like Pandas and Scikit-learn for ML tasks.

AI in Aerospace Safety

Understand the impact of AI/ML on improving aviation reliability and safety.

Mentored By

Sarthak Narnor

Sarthak Narnor is an Aeronautical Engineering graduate and AI enthusiast with experience in developing interdisciplinary solutions in aerospace and education. He serves as a Master Trainer – AI at Edunet Foundation, designing programs focused on Green Skills and Sustainable Development. Previously, he worked as a Curriculum Developer at MakeShift and Data Science Trainer at MachIT, mentoring students in Python, Machine Learning, and data visualization. Passionate about democratizing tech education, Sarthak blends pedagogy with innovation to empower future talent.

Our Mentors Have Taught
Space Technology Professionals from

Trusted by Learners

2000+ students across the world have rated by doing our masterclass ,courses, training programmes

Get Certified!

Yes! You will be certified for this
program submission of your assignment

Sharable

Verified

Mentor Signed

A clear understanding of space assets and the specific cyber risks they face.

Hands-on experience working with real aviation sensor data, identifying patterns related to engine faults.

Practical skills in data preprocessing, labeling, and preparing datasets for machine learning workflows.

The ability to build and evaluate ML models, including classifiers and anomaly detection systems.

Experience in using Python tools like Pandas, Scikit-learn, and Matplotlib for modeling and visualization.

By the end of the program you’ll have:

FAQs

1. What is the duration of the workshop?

The workshop is 2 hours

2. Who is the workshop for?

This workshop is best suited for:
 Undergraduate & postgraduate students of Aeronautical, Mechanical, Electrical, or
Computer Science Engineering
 Students with interest in Artificial Intelligence, Data Science, and Aerospace Systems
 Beginner to intermediate learners of Python and Machine Learning

3. What are the prerequisites for this course?

A basic understanding of science is recommended. No advanced knowledge is required

4. Is there a certification provided upon completion?

Yes, participants will receive a certificate of completion at the end of the course.

5. Will there be any certificates awarded upon completion?

Yes, participants will receive a certificate of completion at the end of the masterclass.

6. What are the timings for the session?

Learn at your own pace with recorded classes and live discussion forums