This course can be delivered to your organisation as part of our bespoke Corporate Training Solutions, at your own time and your own convenience. Contact us on kla@kpmg.com.mt or call us on +356 2563 6363 or on +356 9963 6363 for more information on how we can take care of your organisation’s training needs.
Course Description:
A practical deep-dive training session on Microsoft Copilot Studio and agentic AI. The course introduces agentic AI, how it differs from traditional RPA, and how Copilot Studio can be used as an orchestration layer to build custom agents that combine conversations, reasoning, enterprise knowledge, actions, triggers and automation. Participants will explore the foundations of Copilot Studio, agent design concepts, a first autonomous-agent scenario, testing and refinement, deployment considerations, and best practices for combining Copilot Studio with RPA and Power Platform solutions.
Target Audience:
Developers, automation specialists, low-code makers, process automation teams, business analysts with automation exposure, and technical users interested in building or governing Copilot Studio agents.
Learning Outcomes:
- Understand the concept of agentic AI and how it differs from rule-based RPA.
- Explain where Copilot Studio fits within the Microsoft AI and Power Platform ecosystem.
- Understand what an agent is and how agents coordinate instructions, context, knowledge sources, topics, actions, inputs and triggers.
- Design a basic autonomous agent scenario using enterprise knowledge, actions and event-based triggers.
- Recognise how Copilot Studio can work with Dataverse, Power Automate, Power Apps, AI Builder, APIs and RPA bots.
- Apply testing, monitoring, governance, security and deployment considerations when preparing agents for use.
- Identify how RPA developers can evolve towards AI-driven automation design by combining deterministic automation with reasoning-based agents.
Prerequisites:
Basic understanding of software applications, business processes and data. No prior development experience is required.
Venue: Kindly contact us on kla@kpmg.com.mt to indicate your preferred training method; online or in-person.
CPE Hours: This course qualifies for 7 hours of Structured CPE which can be classified as Professional Competency. A certificate of attendance will be provided at the end of the session.
Trainer:
Gabriel Calleja, Data Scientist, KPMG Digital Solutions
Gabriel is a skilled Data Scientist with a robust background in electrical and computer science. Passionate about data and Artificial Intelligence, he excels in developing solutions using machine learning and deep learning techniques. Gabriel combines his strong academic research experience with practical expertise in AI technologies, contributing significantly to both academic and industry advancements in AI at KPMG.
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