Agentic AI: Building AI Agents for Autonomous Task Execution

Event Date: 14th June 2025 

Event brief description

The expert talk titled “Agentic AI: Building AI Agents for Autonomous Task Execution” offered an insightful exploration into one of the most transformative trends in the field of Artificial Intelligence—Agentic AI. The session focused on the design, development, and deployment of intelligent agents capable of operating autonomously, making decisions, and executing complex tasks without continuous human intervention. 

Through the session, participants were introduced to the core concepts of Agentic AI, including the structure of intelligent agents, their learning mechanisms, goal-directed behavior, and real-world applications. The speaker highlighted how these agents are being integrated into systems for automation, robotics, virtual assistants, and enterprise AI solutions. 

Attendees gained practical knowledge of how agent-based systems are built using AI models, planning algorithms, and reinforcement learning. The session also touched upon the ethical and security challenges involved in designing autonomous agents. 

Targeted towards students, educators, and early-career professionals, the talk served as a valuable knowledge-sharing platform. It inspired participants to think beyond traditional AI applications and explore the possibilities of creating AI systems that can learn, adapt, and act with a high degree of autonomy, thereby preparing them for future innovations in the AI ecosystem. 

Event Detailed Description

Date: 14th June 2025 

Venue: Room No. 101, C-Block, 1st Floor, Galgotias University 

Speaker: Mr. Ravi Kumar, Machine Learning and AI Specialist, Dollar General (USA) 

School of Computer Application and Technology hosted an insightful expert talk titled “Agentic AI: Building AI Agents for Autonomous Task Execution” on 14th June 2025. The session was delivered by Mr. Ravi Kumar, a seasoned Machine Learning and AI specialist working with 

Dollar General, USA, who brought valuable global perspectives and technical depth to the discussion. 

The session was attended by an enthusiastic audience comprising BCA, MCA students, and faculty members, all eager to learn about cutting-edge trends in AI and how they connect with industry expectations. Mr. Kumar introduced the concept of Agentic AI, which focuses on creating intelligent systems capable of autonomous decision-making and task execution—an emerging frontier in AI research and development. 

Mr. Kumar effectively combined theoretical knowledge with real-world use cases, offering examples from various industries where agent-based systems are already revolutionizing automation, business intelligence, and smart decision-making. In addition to explaining core AI agent architectures and learning strategies, he showcased practical AI and cloud-based projects, giving students a glimpse of what modern AI engineers are building. 

One of the highlights of the session was a special segment dedicated to career preparation and interview tips for freshers aspiring to enter the fields of AI and cloud computing. Mr. Kumar shared actionable advice on essential technical skills, resume building, project portfolios, and industry expectations—greatly appreciated by the student community. 

The event saw a highly interactive Q&A session, where both students and faculty posed in-depth questions. Students shared their project ideas and received expert feedback, while faculty members sought guidance on how to better align academic teaching with industry-required skill sets. The engagement level was so high that due to time constraints, the session had to be concluded by inviting students to connect with Mr. Kumar via LinkedIn to continue the conversation and resolve further queries. 

The session successfully met its objective of bridging the gap between academia and industry, equipping students with both conceptual clarity and career direction. Students expressed great satisfaction, noting that many of their doubts were addressed, and they left the session feeling more confident and inspired. Faculty members also appreciated the practical insights and guidance shared. 

This expert talk was an impactful step toward preparing students for the AI-driven future, helping them understand the importance of autonomy in intelligent systems and the skills required to become industry-ready professionals. 

Department Name – Computer Application and Technology 

Event Outcome

The expert talk conducted by Mr. Ravi Kumar, ML and AI Specialist at Dollar General (USA), on “Agentic AI: Building AI Agents for Autonomous Task Execution” delivered strong academic and professional impact for students and faculty at Galgotias University. The session successfully met its objectives of skill development, career awareness, and bridging academia 

industry knowledge gaps. 

Key Outcomes: 

Conceptual Clarity on Agentic AI: Students and faculty gained a clear understanding of how autonomous AI agents function, their architecture, and their role in real-world systems. Career Preparation for AI and Cloud Roles: The session provided valuable interview preparation tips, insights into industry expectations, and skills in demand for freshers seeking AI and cloud-related roles. 

Exposure to Real-World Use Cases & Projects: Practical examples and project showcases helped participants connect classroom knowledge with enterprise-level AI applications. High Level of Interaction and Engagement: An engaging Q&A session allowed students and faculty to pose thoughtful questions. Due to time limitations, further discussions were encouraged through professional networking on LinkedIn. 

Faculty Empowerment: Faculty members actively participated, asking how to better equip students with foundational AI and cloud skills aligned with industry needs. Positive Feedback & Motivation: Students appreciated the session and expressed that many of their doubts were cleared. The talk boosted their confidence and inspired them to pursue advanced topics and projects in AI.

Overall, the session was a great success in creating awareness, enhancing technical knowledge, and motivating learners to explore Agentic AI as a future career and research area. 

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