techcadd Seminar at Maharaja Agrasen College, Yamuna Nagar
How AI agents plan, reason and execute tasks — and where people stay in control.
Maharaja Agrasen College
Yamuna Nagar, Haryana
Yamuna Nagar, Haryana | 23 October 2026
techcadd conducted a seminar on Agentic Artificial Intelligence (Agentic AI) at Maharaja Agrasen College, Yamuna Nagar, Haryana, on 23 October 2026. The session introduced students to intelligent AI agents, autonomous task execution, AI-powered automation and the growing role of agent-based systems in solving real-world problems.
The seminar built awareness of emerging AI technologies and their applications across modern industries, exploring how agent-based systems differ from more familiar AI applications and how they support intelligent decision-making and workflow automation.
The session examined the differences between traditional AI applications, Generative AI and Agentic AI. Students saw how AI agents plan, reason and execute tasks, including multi-step processes, and how AI tools, APIs and external integrations connect AI capabilities with practical workflows.
The seminar was conducted by Mr. Aman Sharma and Mr. Eakumpreet Singh, representing techcadd. They encouraged students to explore emerging technologies, strengthen their understanding of modern AI systems and learn about future opportunities in the AI landscape.
The discussion covered applications in software development, business processes and productivity — and addressed human oversight, responsible AI and ethical considerations, reinforcing the importance of how these systems are designed and used.
“Agents can plan and act — people still set the goals, the limits and the checks.”
The seminar introduced students at Maharaja Agrasen College to the agent-based systems reshaping how software handles tasks and decisions.
FAQs
On 23 October 2026.
At Maharaja Agrasen College, Yamuna Nagar, Haryana.
Mr. Aman Sharma and Mr. Eakumpreet Singh, representing techcadd.
AI systems that plan, reason and carry out tasks, including multi-step workflows, rather than only responding to a single prompt.
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