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12 Hrs Certificate Program in Artificial Intelligence Applied to Railways

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We have designed a railway industry focused short course with Experts in Railways for you to learn different fields of artificial intelligence and their applicability to various problems in different domains of Railways. It is specially designed for AI professionals to learn the problems facing Railways and Railway professionals to understand how AI can be applied to different problems in Railways.

Duration

20 hours online course delivered by rolling stock expert from railway domain

Date of start

Coming Soon!

Class Timings

Coming Soon!

Who should attend

Railway Professionals looking to harness power of artificial intelligence; AI Engineers looking at rail domain knowledge

Practical Training

Assignments covering real-life cases design, planning, and concepts

Placement Support

Placement support shall be provided through job notifications

Duration

12 hours online course delivered by expert from railway domain

Date of start

Online classes will be starting from 20th November 2023 onwards

Class Timings

7.30 PM to 9.30 PM (IST), 3 days (Monday, Wednesday & Friday) delivered online

Who can Apply ?

  • Railway Professionals looking to harness power of artificial intelligence
  • AI Engineers looking at rail domain knowledge
  • Project Managers
  • Rolling Stock Engineers
  • Signaling Engineers
  • Track Maintenance engineers
  • Business Analysts

What will you Learn ?

Data Mining and Machine Learning

1

Pattern Recognition & applications

2

Expert Systems

3

Machine learning

4

Deep Learning & Pattern Recognition

5

Get Certified by Railway Academy

Railway Academy brings you a globally recognised certificate which you can use across the globe.

10000+

Jobs open every year in this domain

18-30 LPA

Average Salary in this Domain

To know more about the Course

Curriculum

a. Data- data mining
b. Machine learning
c. Classification-decision tree, Support Vector Machines (SVM’s), Neural Networks
d. Association-frequent item set generation, rule generation, pattern recognition
e. Clustering -k means, hierarchical clustering, DBSCAN
f. Anomaly detection

a. Operating: Shortening waitlists for passengers (optimizing train profile), analyzing the detentions for goods trains
b. Signaling: Analyzing data logger data to prevent S & T failures, analyze Train detentions
c. Engineering: Analyze track recorder readings to prevent rail fractures and fastening failures & improve track maintenance
d. Electrical & Mechanical: analyze driver’s technique for optimum energy utilization & speed by analyzing the log , analyzing failure data, OHE defects by OHE recording car

Applications:
a. Operating :train control, rake allocation, platform allocation, smalls transport. Train Delay prediction for passenger information, Train shunting
b. Electrical: automatic driving, capacitor switching
c. Engineering: layout of new lines
d. Signal & Telecom: Optimization of tower locations

Applications:
a. Technical departments: Maintenance and inspection

Applications: Failure detection, Diagnosis and prediction
a. Object Detection: Identifying cracks on tracks and obstructions on level crossings.

a. Genetic Algorithm
b. Particle swarm optimization
Applications: Traffic planning and management: strategic and tactical planning, Technical: maintenance planning

Applications: Operating: scheduling empty freight trains, scheduling trains in case of accident (one hour)

Applications: chatbots by IRCTC, Analysis of main failure records, maintenance records

a. Autonomous Driving using Computer vision and Neural networks.
b. Train control for energy optimization

Curriculum

1. Introduction (one hour)
2. Data Mining and Machine Learning (2 hours)
3. Pattern Recognition & applications: (one hour)
4. Expert Systems-rule based, frame based, fuzzy, fuzzy neural, neuro fuzzy (2 hours)
5. Machine learning: (one hour)
6. Deep Learning &Pattern Recognition: Conventional neural networks, computer vision methods: (one hour)
7. Evolutionary Computing (1hr)
8. Operations Research and scheduling: dynamic programming and reinforced learning
9. Natural Language processing and speech recognition (one hour):applying NLP to non- structured data(one hour)
10. Autonomous systems : (half hour)
11. Conclusion(half hour)

a. Data- data mining
b. Machine learning
c. Classification-decision tree, Support Vector Machines (SVM’s), Neural Networks
d. Association-frequent item set generation, rule generation, pattern recognition
e. Clustering -k means, hierarchical clustering, DBSCAN
f. Anomaly detection

a. Operating: Shortening waitlists for passengers (optimizing train profile), analyzing the detentions for goods trains
b. Signaling: Analyzing data logger data to prevent S & T failures, analyze Train detentions
c. Engineering: Analyze track recorder readings to prevent rail fractures and fastening failures & improve track maintenance
d. Electrical & Mechanical: analyze driver’s technique for optimum energy utilization & speed by analyzing the log , analyzing failure data, OHE defects by OHE recording car

Applications:
a. Operating :train control, rake allocation, platform allocation, smalls transport. Train Delay prediction for passenger information, Train shunting
b. Electrical: automatic driving, capacitor switching
c. Engineering: layout of new lines
d. Signal & Telecom: Optimization of tower locations

Applications:
a. Technical departments: Maintenance and inspection

Applications: Failure detection, Diagnosis and prediction
a. Object Detection: Identifying cracks on tracks and obstructions on level crossings.

a. Genetic Algorithm
b. Particle swarm optimization
Applications: Traffic planning and management: strategic and tactical planning, Technical: maintenance planning

Applications: Operating: scheduling empty freight trains, scheduling trains in case of accident (one hour)

Applications: chatbots by IRCTC, Analysis of main failure records, maintenance records

a. Autonomous Driving using Computer vision and Neural networks.
b. Train control for energy optimization

Programs Highlights

12 Hrs of Applied Learning ( 12 session 1 hr each)

LIVE Online & Interactive Classes

Case based sessions, LMS Support

Peer-learning & networking opportunities

Meet Our Faculty

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David CuestaTeaches ERTMS for Railways
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Dr. P Raja GoundanTeaches RAMS & Safety
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V G Ramesh KumarTeaches Signaling & Telecom Systems
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Sreevas VasudevanTeaches EMI and EMC
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Surendranath BopparajuTeaches Safety Critical Product development
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Mr. Y P RaoTeaches NSW signaling & IRSE Modules
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A. V. R. SubbaraoTeaches signaling & signaling design

Hear from Our Learners

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Arindam Banerjee
Engineer at Hitachi Rail STS

It was a beautiful and an amazing journey with Railway Academy during the 100 Hours online certificate training in Railway Signalling for Railways and Metro. Our trainer has been supportive and really helpful. This training helped many of us to refresh our knowledge and skills on Signalling Concepts, Principles of Interlocking, Electrical & Relay Interlocking systems, Table of Control,out door design,SIP and ESP preparation, Electronic Interlocking, Modern Signalling, etc. Railway Academy has made a big impact. Thanks to all involved.

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Prahlad Ghosh
Project Officer | WEBFIL LTD.

It gives me immense pleasure that I have completed "100 Hours Online Training in Railway Signaling for Railways" from Railwayacademy and finally achieved the certification. The Training course was very well-structured, informative and explanation with lots of Daily Use-Cases examples. It has certainly enhanced my Skillset & Knowledge about Advanced Signaling Concepts, Principles of Interlocking, Electrical & Relay Interlocking systems, Point Operations & Table of Control. I would certainly try to implement the learnings in our current project & in the future project opportunities. I would personally to thank the entire team of Railwayacademy and Special Thanks & Regards to Narayan Parvatikar Sir for the trainings and the individual attention towards every student. Thank You Railwayacademy.

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Kirankumar Lingegowda
Lead Engineer, QuEST, GmBH

It was a beautiful and an amazing journey with Railway Academy during the 100 Hours online certificate training on Railway Signalling for Railways and Metro. Our trainer has been supportive and really helpful. This training helped me to enhance my knowledge and skills on Signalling Concepts, Principles of Interlocking, Electrical & Relay Interlocking systems, Point Operations & Table of Control, Electronic Interlocking, Modern Signalling, etc. Railway Academy has made a big impact.

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Shahid Inamdar
Senior Executive – Design & Drawing, Vijaywargi Infra Engineers Pvt. Ltd.

It's a great experience with Railway Academy. The 100 Hours online certificate training in Railway Signaling for Railways and Metro helped us enhance our knowledge and skills on various aspects on Signaling. It also helped us learn about Principles of Interlocking, Electrical & Relay Interlocking systems, Point Operations & Table of Control, Electronic Interlocking, Modern Signaling, etc. This will definitely help me in my career.

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Subhuti Vyas
Signalling Engineer and design works, DB Engineering & Consulting

It gives me immense pleasure that I have completed 100 hours of online training in Railwayacademy and finally achieve the certification. The training course was very well structured, informative and explanation. It has certainly enhance my skills and knowledge about Signaling Concepts, Principles of Interlocking, Modern Signaling, and Relay interlocking, point operational, table of control. I would certainly try to implement learnings in our current project and in future project opportunities. I would personally thank the entire team, special thank you regards to Narayan Parvatikar Sir for training and individual attention toward every student. Thank you so much.

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Sanoj Kumar
MAINTENANCE ENGINEER (HITACHI RAIL STS)

I have completed 50hrs online Railway Signalling Design course . Mentors of Railway Academy are very good and helpful. Through this online training course I improved my knowledge and skills in Signalling concepts, Interlocking principles,SIP & ESP preparation, Table of Control. Railway Academy is very helpful for me. Thanks Railway Academy.

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Priyanshu Jain
Railway signalling, Electronic Interlocking, Site Engineer, Hitachi Rail STS

Thank you so much Railway academy for gave the good and valuable time to us to Increased the knowledge and skills of railway signalling. You've made a big impact!

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DINESH KUMAR THANGAMARIAPPAN
MIRSE | Solutions Engineering Manager | Frauscher Sensor Technology

Learning never exhausts the mind”. During the first half of this year, I had great opportunity to interact, collaborate and learn. Functional Safety for Railways and Metro from Railwayacademy. Thank you for all the support and encouragement.

(For Indian Students)

Fee Structure

Installment Schedule

Fee : Rs. 12000
3+ registration : Rs. 10800
5+ registration : Rs. 9600
10+ registration : Rs. 8400

EMI Offer

EMI 1 : Rs. 6500

EMI 2 : Rs. 6500

Get Started Today

12 hours Live Online Course in Artificial Intelligence Applied to Railways

for Railways & Metro Projects
Categories: Live Certificate Course,
Course Fee
Yes    No

₹12,000.00

Railway Course FAQs

Railway Course FAQs

This 5 months(60+ hours) executive certificate program offered by IIT Delhi CART and DRIIV promises to provide

  • Develop a deep understanding of semiconductor device working, MOSFET models, noise models, and other critical circuit design parameters.
  • Enhance understanding of component and system-level issues in power management and implementation as an integrated chip.
  • Explore various power management architectures and their comparative study, along with the basic building blocks and components of power management.
  • Gain expertise in the design and simulation of analog integrated circuits and power management IC components.

This program is ideal for

  • B.E/B.Tech graduates in ECE/EEE looking for a career in the growing semiconductor industry.
  • M.E/M.Tech/M.S graduates in VLSI System Design, Embedded Systems, or Digital Electronics.

The microelectronics and semiconductor industry in India is on the brink of exponential growth. With the government’s PLI (Production Linked Incentive) scheme targeting a $1.45 billion investment in semiconductor manufacturing over five years, and India’s electronics market projected to reach $400 billion by 2025, the opportunities are immense. India is rapidly emerging as a global hub for semiconductor design and manufacturing, with over 200 R&D centers and major players like TSMC and Samsung establishing their presence. National initiatives like the National Electronics Policy and Make in India further bolster the sector, ensuring a bright future for young engineers.

🎯 Program Goal

  • Develop a deep understanding of semiconductor device working, MOSFET models, noise models, and other critical circuit design parameters.
  • Enhance understanding of component and system-level issues in power management and implementation as an integrated chip.
  • Explore various power management architectures and their comparative study, along with the basic building blocks and components of power management.
  • Gain expertise in the design and simulation of analog integrated circuits and power management IC components.

Railway academy will support you with upcoming job notification in semiconductor industry to help you stay updated with new openings. You shall have to apply directly and qualify recruitment process to fetch the job offer.

Yes, this program would be apt for you if you are looking for career growth and transition in Semiconductor and ESDM industry.

Upon completion of the  course and execution of the various projects in this program, you will receive a joint Executive  Certification in Executive Program on Analog and Power Management IC Design from IIT Delhi CART and DRIIV

If you fail to attend any of the live lectures, you will get a copy of the recorded session in the next 12 hours. Moreover, if you have any other queries, you can get in touch with our course advisors or post them on our community.

  • Job Search Strategy Sessions
  • Resume Building
  • Linkedin Profile Creation
  • Interview Preparation Sessions by Industry Experts
  • Mock Interviews
  • Placement notifications in semiconductor industry

Please note that the course fees is non-refundable and we will be at every step with you for your upskilling and professional growth needs.

 

There will 2 days campus immersion in this program at IIT Delhi Campus( Optional)

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