Self-learning Systems

Design and develop self-learning systems using reinforcement learning and evolutionary learning techniques



Competency Area

Stakeholder and Contract Management


Analyse, articulate intelligence (AI) technologies in the area of business process automation and optimisation

Analyse business drivers and main application areas of IPA

Create automation applications using RPA as an integration tool between different enterprise applications

Create virtual workers for productivity without increasing actual workforce and/or hiring

Create automation applications with remote enterprise applications

Automate data processing and extraction from image documents

Deploy enterprise-scale automation applications

Manage IPA project lifecycle

Create business automation applications using cost-saving robotic automation tools and AI tools

Create digital ‘virtual assistants’

Evaluate industrial IPA use cases

Build and deploy adaptive software robots in hardware and devices in different application areas

Determine the best practices for building autonomous software robots

Plan the processes to design and build software robots

Define the technical requirements needed for the sofware robots

Construct fully functional software robots

Validate the design of the software robots

Introduce new and/or best practices in the design and planning of the software robots

Gather feedback on the performance of the software robots

Review the cording, testing and design criteria

Optimise the performance of the software robots during and after deployment

Design and develop self-learning systems using evolutionary learning techniques

Apply the concepts and algorithms of reinforcement learning

Identify the requirements for self-learning systems

Build deep reinforcement learning systems

Build model-based reinforcement learning systems

Build evolutionary learning systems using evolutionary computation techniques to solve optimisation problems

Assess the system performance and suggest possible improvements