Prompt Engineering Jobs: Your 2025 Career Guide
January 14, 2025
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Controller, IoT, AI in the Factory environment. The learners will acquire skills to Configure and develop Controllers, IoT systems and AI solutions in the Factory environment
Instructor: Subject Matter Expert
Included with
(14 reviews)
Recommended experience
Intermediate level
Basic Science and Mathematics Knowledge with Preliminary programming skills
(14 reviews)
Recommended experience
Intermediate level
Basic Science and Mathematics Knowledge with Preliminary programming skills
Will be able to choose IoT sensors, controllers and Gateways if any
Will be able to configure and program the IoT devices
Can choose the suitable AI model
Can deploy the AI model and do analytics
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To promote the engineering skills required for Digital Factories, this proposed specialization on Intelligent Digital Factories offer the learners with strong fundamentals of the microcontrollers covering the (a) hardware and software architectures (b) programming (c) debugging strategies and (d) hands-on exposures in developing typical Industrial applications using a user-friendly microcontroller development board. The learners get an opportunity to explore EdSim51 simulator, development boards like Arduino UNO, ESP 8266 and ESP 32 with Industry examples and integration strategies with simulated GSM and Cloud networks.
The captured and processed data are transmitted and stored in cloud and promote business intelligence. This part of IoT component is presented along with various Industry IoT Solutions like Sewage Treatment Plant, Packaging Industry, Processing of Dairy Products etc., Later, the next component of specialization promotes skills of AI algorithms - Supervised, Unsupervised, Reinforced, Neural Networks etc., along with Edge Computing strategies like Pruning, Tiny ML etc., like Predicting House Price, EV vehicle purchase decision, Lung cancer prediction, Fault Diagnosis etc.,
Finally, the specialization guides the learners with AI applications in real-world problems of Engineering in Electrical, Mechanical and Civil domains like monitoring of Substations, Oil and Gas exploration, Construction site safety etc.,
Applied Learning Project
The learners will get the capability to build digitization by programming gateways, integrating cloud , diagnose and analyze data . On the whole this specialization supports the interdisciplinary engineer’s learning with new technology skills and make them capable of taking various roles in future Digital Factories of Industry 5.0.
Today, there exists a changing paradigm for every organization towards Digital Transformation in alignment with rapid growth of Industrial Automation. As automation impacts the business-returns directly, every organization, be it Designing, Manufacturing, Assembling or Logistics sector, sincerely is getting transformed as Digital Industries. One of the key elements underneath this transformation is, the evaluation of multi-featured, high speed, tiny microcontrollers. The global Microcontroller market estimate is with 7.6% CAGR during 2021-2023.This in turn is creating a large job space for Engineering community in the next decade in Digital Transformation domain. The major objective of this course is to equip learners towards such job space of Engineers. Thus, this course on ‘Microcontrollers and Industrial Applications’ has been designed with a clear vision and roadmap with fundamentals of Microcontrollers, methodologies for Designing microcontrollers, exploratory skill in Application-specific embedded boards and real time industrial applications. The concepts of the course are weaved with perfect demonstrations through digital platform along with use cases, which provide complete learner engagement. The course also provides an experiential knowledge and skill about embedded development boards and Integrated Development Environment (IDE) tool. The learners will be guided with a multi-purpose development boards which are preferred in Industrial applications. The pedagogy followed in the course is making learners to get a good insight about the demos and their creativity will be kindled. The in-course discussion prompt of the course, promote the learner to develop creative embedded solution for real-world applications.
Today, there exists a changing paradigm for every organization towards Digital Transformation in alignment with rapid growth of Industrial Automation. As automation impacts the business-returns directly, every organization, be it Designing, Manufacturing, Assembling or Logistics sector, sincerely is getting transformed as Digital Industries. The major objective of this course is to equip learners with advanced technical process of Data Collection in such Digital Industries. Thus, comprehensive course on “Applied Industrial IoT” provides a deep dive into the evolution of industrialization, from the phases of the Industrial Revolution to the transformative landscape of the Industrial Internet of Things (IIoT). The course begins with a historical review of industrial evolution, understanding core IIoT concepts, and dissecting the drivers, benefits, and challenges of IoT through real-world examples like Dam Water Level Monitoring and STP Monitoring. Next, the course delves into Solar Plant Management, Utility Monitoring in Railways, and a detailed breakdown of IIoT Architecture components. Engagements for learners include hands-on experiences with Annunciator Monitoring and Dairy Product Processing. The course makes the learners understand sensor fundamentals, types, and selection criteria. The course also explores applications in Pharma, Electricity distribution, and Energy Measurement. Practical demonstrations on Machine Status highlight real-world relevance, explore Edge Computing intricacies, Gateway types, and configurations. Practical insights are gained through Packaging, Bottle Manufacturing, and demonstrations on Pulse counting and Video Analytics. Grasp IoT Connectivity, Wireless Protocols, and witness an IIoT example with a Wheel Loader. Real-world applications in the course include Automotive Component Casting, Diesel Generators Monitoring, Aerospace Parts Manufacturing, and Bulk Milk Cooler Monitoring. Finally, the course caps off with IIoT Security Concerns and a case study on an IoT Connected Workplace Solution.
With the paradigm shift of Digital Transformation in industries, there exists a huge volume of digital data in cloud storage about the Men, Materials and Machines of the organization. This data incurs a lot of information which could be used for process planning, predictive failures and business optimization. This course aims to equip the learners with various strategic principles of Artificial Intelligence theory which helps to extract such information from the pool of available data. The reach of AI in every area is consistently growing along with the features of programming. The course introduces appropriate programming skills blended in the modules and the learners will be able to learn by doing lots of practice problems. The long-term vision of AI, with Edge operations are explained in the course along with the principles required in implementing Edge AI. The learner can distinguish and will be able to segment the cloud and edge-based operations appropriately for the real-world problems. The different exercise problems with relevant software and hardware architecture support the learning of Edge AI with suitable metrics. On the whole the learners will get an exciting journey of understanding and applying AI algorithms, processing the algorithms for edge and implementing sample edge AI solutions. Edge AI products available in the market are introduced to the learners and this provides the learners with an ability to map their AI skills with suitable upcoming career options.
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.
Larsen & Toubro popularly known as L&T is an Indian Multinational conglomerate. L&T has over 8 decades of expertise in executing some of the most complex projects including the World's tallest statue - the Statue of Unity. L&T has a wide portfolio that includes engineering, construction, manufacturing, realty, ship building, defense, aerospace, IT & financial services. L&T EduTech is a e learning platform within the L&T Group, that offers courses that are curated & delivered by industry experts. In the world of engineering and technology, change and advancements are happening at the speed of light. Academia needs to keep pace with this change and career professionals need to adapt. This is the need gap L&T EduTech will fill. The vision for L&T EduTech is to be the bridge between academia and industry, between career professionals and ever-changing technology. L&T EduTech firmly believes that, only when these need gaps are filled, will we have truly empowered and knowledgeable workforce that will lead India in the future.
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