On February 14, 2026, the Department of Information Technology hosted Techbytes25 with the theme “The State of AI Adoption in Industry – Usage Trends, Tools, and the Rise of AI.” The theme focused on how AI is being used in real-world applications across different sectors. The session aimed to help students understand current AI tools, industry trends, and the importance of connecting academic learning with practical knowledge.
The event kicked off at 9:30 AM with smooth registration as attendees eagerly collected their materials and prepared for the day ahead. At 10:00 AM, the formal ceremony began with a traditional lamp-lighting and Saraswati Vandana, symbolizing the illumination of knowledge. Faculty members and guest speakers led this inspiring moment, setting the tone for a day focused on learning and innovation.
Mr. Prince Joshi, a Cloud & DevOps Engineer, delivered an informative session on how AI tools are transforming modern workflows by reducing manual effort and increasing productivity. He explained the importance of prompt engineering for effective interaction with AI and demonstrated how tools like GitHub Copilot, Cursor AI, and Replit AI assist in coding and debugging. He also highlighted AI tools for presentations, video editing, and ATS-friendly resume building, and described the AI-driven development cycle from idea to cloud deployment on platforms such as AWS and Microsoft Azure. The session concluded with insights on emerging roles like AI Engineer and DevOps Engineer, the concept of Agentic AI, and automation tools, emphasizing that future engineers must combine core technical skills with effective use of AI tools.
Mr. Rahul Khurana presented an engaging session on Agentic AI and Large Language Models, explaining how autonomous AI agents can plan, execute, and refine tasks while still requiring human supervision for responsible use. He described how LLMs like ChatGPT work by analyzing data patterns to generate responses and highlighted the role of Generative AI in creating code, content, and designs. The session also covered the structure of AI agents (planner, generator, and healer), the importance of MCPs for system communication, and the use of RAG to improve accuracy by retrieving relevant information before generating outputs. He concluded that AI agents will significantly shape future automation and system design workflows.
Dhruv Garg explained that AI should be seen as a leverage multiplier that boosts human productivity rather than replacing jobs, encouraging early adoption similar to the dot-com era. He distinguished between LLMs that generate responses and Agentic AI that can execute tasks autonomously, citing GitHub Copilot and Polar AI as examples. He also highlighted India’s growing strength in the global AI space with startups like Sarvam AI and advised students to build creative, critical, and system design skills while using AI to create real-world solutions. Dr Chena Laroiya presented a token of remembrances to the guest speakers.
Throughout the day, students actively engaged in Q&A sessions, asking insightful questions about cloud platforms, data visualization tools, and career opportunities in data science. These discussions added depth to the event and fostered a dynamic exchange of ideas.
Overall, Techbyte2026 was a well-executed and impactful event. Each session offered unique insights that blended technical expertise with practical advice, and the release of Insight added further value. The day also provided ample networking opportunities, leaving participants with a deeper understanding of business intelligence and the inspiration to apply their newfound knowledge in their careers. Techbyte2026 successfully bridged the gap between academia and industry, making it a memorable and enriching experience for everyone involved.
Objectives
- To understand the current state of AI adoption across industries and its impact on modern workflows.
- To introduce students to practical AI tools used in coding, documentation, design, automation, and cloud deployment.
- To explain the concepts of Large Language Models, Generative AI, and Agentic AI in real-world applications.
- To highlight emerging career roles such as AI Engineer and DevOps Engineer and the skills required for them.
- To encourage responsible and productive use of AI as a tool for enhancing human capabilities.
- To motivate students to move from AI users to AI solution builders.
As a part of this symposium we release our magazine “Insight” which is compilation of various article which comply to the theme of the symposium that year. This is the outcome of sincere effort of our students.
Learning Outcomes
By the end of the session, students were able to:
- Understand how AI acts as a productivity multiplier rather than a replacement for humans.
- Identify key AI tools like GitHub Copilot, ChatGPT, and cloud platforms such as AWS used in industry workflows.
- Differentiate between LLMs and Agentic AI and understand their practical use cases.
- Recognize the role of prompt engineering in obtaining accurate AI-generated results.
- Understand how AI agents automate multi-step tasks using planning, execution, and monitoring.
- Gain awareness of RAG, MCP-based architectures, and AI-driven system design concepts.
- Identify the technical and analytical skills (Python, statistics, system thinking) required for AI-related careers.
- Develop a mindset focused on innovation, continuous learning, and building AI-powered solutions.