Harnessing the Power of Digital Transformation
Objectives
Main Target Group
Topics
Day One
Day Two
Location
online and onsite
Duration
2 days
Alternatively: 2 weeks, 8 hours per week (available only online)
Cost
online: It is per day per person
special group enrolment price: get a 20% discount if you enroll with at least two colleagues
onsite: + mobilization cost
Certificate
Upon completion of the course, PlutosTech grants a verified digital certificate of completion to the delegates.
Format
This training course will utilize a variety of proven online learning techniques to ensure maximum understanding, comprehension, retention of the information presented. The training course is conducted in the comfort of any location of your choice.
Upon request, the course can also be conducted at the location of your choice.
Why choose this Training Course?
Artificial intelligence has been successfully applied to a wide range of fields, including the medical, educational and energy sectors, to create quantum-leap improvements across the entire supply and value chains. One of the common applications of artificial intelligence is predictive engines that optimize operations and contain costs while protecting humans and the environment from undesirable events by adding more intelligence to operations and assets. This training course aims to outline the basics of artificial intelligence as applied to the energy sector. It is evident that artificial intelligence has a wide range of applications in the energy industry, including human error-prone and repetitive tasks.
The participants will learn innovative artificial intelligence techniques to address bottlenecks and pain points and unleash creativity to scale up the benefits realized across the whole enterprise and market domain. The course also highlights the application of artificial intelligence to learn machines, manage uncertainty, apply neural networks, and search for solutions to problems in energy systems and operations to enable new heights of integration and cognitive development, manufacturing, and production operations.