The Bahria School of Engineering and Applied Sciences (BSEAS) at the Karachi campus of Bahria University has held a hands-on workshop on agentic artificial intelligence (AI) and artificial general intelligence (AGI), according to a post by the school on LinkedIn. The workshop was organised by Irha Fatima, General Secretary of PMYDC – Education at BUKC, in collaboration with Syed Ahsan Naeem, and featured Maruee Iqbal as guest speaker. It introduced students to emerging developments in AI, including agentic AI, multi-agent collaboration, AI security, AGI, and the practical implementation of agentic workflows. Laila Nadeem supported students throughout the hands-on activities, and the school thanked Dr. Bushra Fazal and Syed Saqlain Hussain for their support.
Agentic AI refers to systems that can plan, decide, and carry out multi-step tasks with limited human intervention, as opposed to chatbots that only respond to prompts. Such systems can call tools, access data, and take actions in other software on a user’s behalf, and in multi-agent setups several agents divide a job and pass work to one another. Gartner has predicted that up to 40 percent of enterprise applications will include task-specific AI agents by the end of 2026, up from less than 5 percent in 2025, according to a Recorded Future report. That pace helps explain why universities are adding the topic to workshops, since students entering the software industry are likely to work with agents or build them.
AI security was one of the topics at the workshop, and it is where agentic systems differ most from earlier AI applications. The Open Worldwide Application Security Project (OWASP) published a Top 10 for Agentic Applications on 9 December 2025, listing risks that arise when AI systems can act on their own, such as agents being given too many permissions, tools being misused, and insecure communication between agents. Security researchers have noted that in multi-agent systems a single compromised or mistaken agent can spread bad information or instructions to others, so problems can cascade through the whole system. The post does not say which of these risks the workshop covered or which tools and frameworks students used.
The workshop also covered AGI, a term for a hypothetical form of AI that could perform a wide range of intellectual tasks at the level of a human being. No such system exists today, and experts disagree about how close the field is to building one, which makes it a useful subject for classroom discussion about where current tools stop and what future systems might need. The school said that through such initiatives it continues to encourage student engagement with emerging technologies and promote practical learning in AI. The post does not give the date of the workshop, the number of students who took part, or the background of the guest speaker, so further details would have to come from the university or the organisers.
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