AI and Edge Computing

AI and Edge Computing
Horizontal Courses

The objectives of the course are: introduction composite relational model of edge computing along with machine learning and IoT architecture. Impart the ML and IoT frameworks suitable for edge computing. Elevate the learners with a knowledge and practice on tools supporting for edge computing solutions.  Offer pilot training on modular development boards of Tiny ML

About the Course

This is a beginner level course for aspiring engineers of Edge Computing/IoT/AI developers to acquire practice-based AI and machine learning skills and edge computing fundamentals. The course has been designed with a clear vision on future developments of edge computing in industrial applications along with a mission of importing all essential fundamentals for the undergraduate engineers. The course has been weaved with necessary concepts of applied mathematics and python programming to inculcate the hands-on skills of design and development of machine learning algorithms. The course contents are meticulously presented so that the learner will be able to visualize the applied areas of ML algorithms and will be able to correlate and decide the preferences among Cloud, Fog and Edge Computing. The concepts on the designing of edge computing systems are provided with relevant demonstrations through Tensorflow and Tensorflowlite frameworks, which provide complete learner engagement. During the course, the instructional model is designed to ensure that the learner has opportunities to explore modular tasks using retrospectives and to gain higher order thinking skills. The course elevates the learner’s practical experience using edge computing hardware demonstrations. The learners will also be assured with the outcomes by executing an in-course project module.

Learning Outcomes

On completion of the course, the learner will be able to

  • Relate the AI, ML and Python programming in the context of edge computing
  • Model Python based ML solutions for simple applications
  • Develop ML and IoT frameworks for EC architecture
  • Defend for various ML algorithms and CNNs for their compatibility with EC
  • Estimate hardware and software tools appropriate for Tiny ML
  • Adapt EC based architecture for various applications of
    -Civil engineering like construction management, transportation engineering, naval architecture etc.
    -Electrical engineering like load prediction, multi-channel characterization etc., for substations
    -Mechanical engineering domains like reservoir engineering, upstream sector of O&G Industry etc.,
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Prof. V T Chandra Sekhar Rao
Dean - L&T Institute of Project Management; 38+ years of experiences

Area of Expertise:
Project Governance, Execution Strategy Development, Project Commercial Management, Project Controls, Project Engineering Management, Risk Management, Stakeholder Manager, Procurement and Contract Strategy

Dr. Y. Pari
PhD - Institute of Ocean Management, Anna University; Associate Vice-President, MindTree NxT; 23 years of industry experience

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Expertise in Advanced 3D Scanning Technologies, Global Navigation Satellite System, Digital Photogrammetry, Drone Applications, Enterprise GIS, Spatial Data Repository, System Integrations

Dr. T Jeyapoovan
PhD - Anna University

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Engineering Graphics, Machine Drawing, Assembly Drawing, Production Drawing, Computer Aided Design and Manufacturing

B.E - Mechanical; 42+ years of experience

Area of Expertise:
Safety in Construction Industry, Safety Training, Developing and maintaining management systems in-line with ISO 14001 and ISO
45001 Standards

Krishna Nirmalya Sen
Head – Environmental Health & Safety (Metallurgical & Material Handling), L&T Construction; PhD - University of Petroleum and Energy Studies (UPES); 35 years of experience

Area of Expertise:
Occupational Safety and Health in Engineering and Construction Industry

Chidambaram CT
Head - Electrical Engineering (EDRC - Buildings & Factories), L&T Construction; 35+ years of experience

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Electrical Design, Technical Report, Technical Specification, Design Basis Report(DBR), Bill of Quantity, Cost optimization and Peer Review, Tracking and Monitoring of Design, Client Relationship

Head - MEP Design (EDRC-Buildings & Factories), L&T Construction; B.E (Electrical) - Delhi University; 33+ years of experience

Area of Expertise:
MEP- Design, Technical Specification, Design Basis Report(DBR), Bill of Quantity, Cost optimization and Peer Review, Tracking and Monitoring of Design, Client Relationship

Manoj Gupta
Head - HVAC Engineering (EDRC-Buildings & Factories), L&T Construction; B.E (Mechanical); 27+ years of experience

Area of Expertise:
HVAC Design of Airports, ITOS, Data Centers, Hospitals, Public Spaces and Special Projects

G. Madane
Chief Engineering Manager - Public Health Engineering (EDRC - Buildings & Factories), L&T Construction; B.Tech (Civil); 20+ years of experience

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Design Plumbing Systems, Water & Waste Water Treatment Plants, Solid Waste Management, Utilities & Infrastructure

Dr.S. Kalirajan
Deputy Dean - L&T Institute of Project Management; PhD - Anna University; 32+ years of experience

Area of Expertise:
Business Strategy Formulation, Business Development, Project Management, Risk Management, Contract Management, Negotiations, Team Management, Stakeholder Management

S. Padmanathan
Chief Engineering Manager - Fire Engineering & Mechanical System (Buildings & Factories), L&T Construction; B.E (Mechanical) – CEG; MBA (Operations Management); 30 years of experience

Area of Expertise:
Design & Engineering of Passive, Active Fire Protection System, Advanced Life Safety Techniques for Various Occupancies

B.S. Mukund
B.E. (Civil) - Bangalore University; Head - Project BIM Implementation, L&T Construction; 26+ years of experience

Area of Expertise:
BIM Implementation Plan in various Business Units, Implementation Training, Latest BIM Practices

Raja P
B.Tech (ECE) - SRM University; 22 years of experience

Area of Expertise:
Steel and Composite Buildings, Offshore Structures, Advanced Analysis of Steel Frames

Senior Professor and Advisor, Former Dean - IFMR PhD in Finance, University of Madras

Area of Expertise:
Valuation Modelling, Activity-based Costing & Management, Strategic Cost Management, Performance Measurement Systems, Financial Modelling, Financial Analytics

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