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
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.
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.,
- AI-Edge Relational model
- Supervised
- Unsupervised
- Reinforced
- Gradient descent
- Cross entropy
- Neural networks
- ANN
- CNN
- RNN
- Python
- TinyML
- Scikit Learn
- TensorFlow
- TensorFlowlite
- Arduino Nano BLE
- Autonomous vehicle
- Load prediction in substation
- ML for reservoir engineering
- DL in construction industry
- Building information modelling in architecture, engineering and construction
- Geospatial techniques in practice
- Project management for professionals
- Applied industrial IoT
- Cloud adoption and management techniques
- Engineering graphics and design
- Finance for professionals
- Safety for professionals
- Integrated approach to building services
- AI and edge computing
- A professional's approach to law and ethics
- Public policy for young professionals
Area of Expertise:
Project Governance, Execution Strategy Development, Project Commercial Management, Project Controls, Project Engineering Management, Risk Management, Stakeholder Manager, Procurement and Contract Strategy
Area of Expertise:
Expertise in Advanced 3D Scanning Technologies, Global Navigation Satellite System, Digital Photogrammetry, Drone Applications, Enterprise GIS, Spatial Data Repository, System Integrations
Area of Expertise:
Engineering Graphics, Machine Drawing, Assembly Drawing, Production Drawing, Computer Aided Design and Manufacturing
Area of Expertise:
Safety in Construction Industry, Safety Training, Developing and maintaining management systems in-line with ISO 14001 and ISO
45001 Standards
Area of Expertise:
Occupational Safety and Health in Engineering and Construction Industry
Area of Expertise:
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
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
Area of Expertise:
HVAC Design of Airports, ITOS, Data Centers, Hospitals, Public Spaces and Special Projects
Area of Expertise:
Design Plumbing Systems, Water & Waste Water Treatment Plants, Solid Waste Management, Utilities & Infrastructure
Area of Expertise:
Business Strategy Formulation, Business Development, Project Management, Risk Management, Contract Management, Negotiations, Team Management, Stakeholder Management
Area of Expertise:
Design & Engineering of Passive, Active Fire Protection System, Advanced Life Safety Techniques for Various Occupancies
Area of Expertise:
BIM Implementation Plan in various Business Units, Implementation Training, Latest BIM Practices
Area of Expertise:
Steel and Composite Buildings, Offshore Structures, Advanced Analysis of Steel Frames
Area of Expertise:
Valuation Modelling, Activity-based Costing & Management, Strategic Cost Management, Performance Measurement Systems, Financial Modelling, Financial Analytics