It's important to impart foundation learning to learners using blended project-based, practice-oriented learning and Innovations so graduating learners become highly creative with abilities to think critically and become self-learner to remain relevant in this era of rapid changes.
Customer eXperience CX
IoTX1. Industrial Internet of Things (IIOT) Fundamentals.
2. Assured Embedded System and The Internet of Things with Real-Time OS (RTOS).
3. Assured UI Programming with Microsoft .Net C# For Physical Computing.
4. Google AI Go Programming Machine Learning Fundamentals.
5. AIOT.
Data Science
Robotics
This training will provide you with strong foundation knowledge of IOT (internet of Things) with low cost resources. You will individually build a fully automated real-world project which includes System integration, Big Data, Data analytics, Edge Computing, Cloud Computing, IIOT and Algorithm development.
The course is made up of 90% hands-on exercises and real-world project development combined with instruction and theory to illustrate the concepts of RTOS in Real-world application with integration of IOT. It is designed to train the participants to becomean Embedded system specialist.
With this training Student will get firm career growth in Software, Electrical, Electronic and mechatronics domain in any industries and opens up many other development opportunities leading towards career advancement in the Industrial Revolution 4.0 era.
AIOT is transformational and mutually beneficial for both types of technology as AI adds value to IOT through machine learning capabilities and IOT adds value to AI through connectivity, signaling and data exchange. As IOT networks spread throughout major industries, there will be an increasingly large amount of human-oriented and machine generated unstructured data. AIOT can provide support for data analytics solutions that can create value out of this IOT-generated data.
Characterized by open source innovation and learning- by-doing, Makerspace offers hands-on, creative, and immersive ways to design, build experiment, and invent projects with state-of-the-art facilities.
With City and Guild digital credentials, accreditation and certification to this form of supplemented learning will further ignite your interest to pursue in-depth studies in the areas of IR4.0.
With more than 100s of Industry trainers, subject-matter experts and industry practitioners who have more than 25 years of working experience in the similar field, our custom-designed training programs will help you manage, change, transform and move quickly to create better solutions for your market.
When you attend our trainings, you’ll be coached to complete industry led projects that are relevant and can apply at workplace soon after completing the trainings.
This Training is designed primarily for related industries to give them a comprehensive knowledge on Industrial Revolution 4.0 and practical guides on several of the associated technologies (pillars] with handsonactivities to train the learners on implementing a real-world projects involving System Integration, Automation, gathering data, sending, storing and analyzing it in a Makerspace learning environment.
Participant will build full end-to-end project gathering information from field devices such as sensors and sending them over the internet via cloud computing to an IOT platform for Data Analytics. They also will learn to develop programming algorithms to read data from field devices (e.g. Sensors], control actuators and complete a close-loop automation process system. Various real-time visualization tools will be introduced to monitor on-screen data and variables for testing and debugging.
You will implement real-world projects involving System Integration, Automation, gathering data, sending, storing and analyzing it in the engaging Makerspace learning environment.
You will build full end-to-end project gathering information from field devices such as sensors and sending them over the internet via cloud computing to an IOT platform for Data Analytics.
You will also develop programming algorithms to read data from field devices (e.g. Sensors], control actuators and complete a close-loop automation process system.
Any enterprises mistakenly assume that digital revolutions are just "a collection of tasks and activities" that include:
