5 Days Online Free Workshop on Building Agentic AI Systems on the Cloud
The immersive workshop introduces participants to Agentic AI, which is a cutting-edge approach for building autonomous, goal-driven systems. The goal is for attendees to learn how to design agent-like flows, utilize industry tools, and deploy intelligent systems on the cloud.
The daily schedule is as follows:
Day 1 - Understanding Agentic AI: The session will cover the difference between agent and traditional AI , the main traits of agents (autonomy, goals, self-adjustment) , the evolution of agentic systems , real-world examples like AutoGPT 6, and the role the cloud plays in agent memory and computation7.
Day 2 - Tools and Use Cases: This day explores applications in healthcare, business, robotics, and education8. It will introduce tools like LangChain, Haystack, and AutoGPT , enterprise platforms such as Pega, Salesforce Einstein, and IBM Watson 10, and cloud APIs including OpenAI, Gemini, and SageMaker.
Day 3 - Explainable AI and Model Behavior: Participants will learn about black-box versus white-box models , XAI (Explainable AI) techniques like rule tracing and feature importance , issues of model fit such as overfitting and underfitting , and how agents learn through feedback loops
Day 4 - Agent Logic with Pega: This session focuses on using Pega for no-code/low-code agent design. It covers case life cycles, flow rules, decisioning, the Pega Decision Hub, Process AI, and modeling autonomy within enterprise flows.
Day 5 - Performance, Scaling and Capstone: The final day will address challenges of real-time behavior 16, monitoring tools like PAL and Tracer 17, tips for cloud deployment such as autoscaling and using stateless agents 18, and will conclude with a capstone project to design an agentic system
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Kelvin Nguyen Le
Building Agentic AI Systems on the Cloud
The "Building Agentic AI Systems on the Cloud" workshop is an immersive five-day online course designed to introduce participants to Agentic AI, a cutting-edge approach for creating autonomous, goal-driven systems. The course teaches attendees how to design agent-like flows, explore a variety of industry tools, and deploy intelligent systems on the cloud. The program begins with the fundamentals, differentiating agentic systems from traditional AI, outlining traits like autonomy and self-adjustment, and using real-world examples such as AutoGPT. It then transitions to practical applications and tools, covering use cases in healthcare and business while introducing platforms like LangChain, Pega, and cloud APIs from OpenAI and Gemini. The curriculum also delves into Explainable AI (XAI) to ensure model transparency, contrasting black-box and white-box models and discussing how agents learn via feedback loops. Participants will gain practical experience with no-code/low-code agent design using Pega, focusing on case life cycles and decisioning. The workshop culminates by addressing performance, scaling, and monitoring, providing cloud deployment tips like autoscaling, and concludes with a capstone project where attendees design their own agentic system
Biography:
Kelvin Nguyen Le is a Staff Software Engineer at Knoetic, where he leads mission-critical initiatives in AI, distributed systems, and large-scale data engineering. He has built multi-agent systems with large language models, enabling intelligent knowledge retrieval and reasoning at scale. Previously, he held engineering roles at Apple, Zuellig Pharma, and various startups, where he designed data platforms, personalization frameworks, and MLOps systems that powered millions of users. Kelvin holds a Bachelor of Engineering from Nanyang Technological University, Singapore, where he was also a President Research Scholar. Passionate about mentorship and applied AI, he enjoys sharing his journey with the next generation of engineers and innovators.
Sairohith Thummarakoti
Building Agentic AI Systems on the Cloud
The "Building Agentic AI Systems on the Cloud" workshop is an immersive five-day online course designed to introduce participants to Agentic AI, a cutting-edge approach for creating autonomous, goal-driven systems. The course teaches attendees how to design agent-like flows, explore a variety of industry tools, and deploy intelligent systems on the cloud. The program begins with the fundamentals, differentiating agentic systems from traditional AI, outlining traits like autonomy and self-adjustment, and using real-world examples such as AutoGPT. It then transitions to practical applications and tools, covering use cases in healthcare and business while introducing platforms like LangChain, Pega, and cloud APIs from OpenAI and Gemini. The curriculum also delves into Explainable AI (XAI) to ensure model transparency, contrasting black-box and white-box models and discussing how agents learn via feedback loops. Participants will gain practical experience with no-code/low-code agent design using Pega, focusing on case life cycles and decisioning. The workshop culminates by addressing performance, scaling, and monitoring, providing cloud deployment tips like autoscaling, and concludes with a capstone project where attendees design their own agentic system
Biography:
Sairohith Thummarakoti is an accomplished IT professional with over a decade of experience in Pega technology, healthcare IT, cloud computing, and enterprise application development. He holds a Bachelor’s degree in Electrical Engineering from SASTRA University, India, and a Master’s degree in Computer Science from Texas A&M University–Kingsville, USA.
Currently, he serves as a Certified Lead System Architect at HCA Healthcare in Indian Land, South Carolina, where he designs and implements innovative solutions addressing challenges in healthcare and health insurance. His notable projects include developing oncology and cancer detection applications with the Sarah Cannon Cancer Network, modernizing COVID-19 vaccine tracking systems serving millions, and automating claims processing for Elevance Health.
Beyond industry work, Sairohith has made significant contributions to research and academia. He has authored 25+ research papers on cloud computing and healthcare IT, published books and technical guides—including The Future of Healthcare Technology, AI, and Innovation and The AI Cloud Infrastructure Blueprint (Taylor & Francis)—and serves as co-editor of the upcoming book “Agentic AI for Healthcare.”
He actively contributes to professional communities, holding leadership roles such as Chapter Chair of the IEEE Columbia Section – Computer Society and Advisor to the Industrial Advisory Board at Texas A&M University–Kingsville. He is also a Fellow/Member of multiple international organizations including IEEE, ACM, BCS, and IET, and has served as a peer reviewer for reputed journals and conferences.
Sairohith is also a recognized innovator and inventor, holding several UK design patents in AI-driven data optimization and cloud systems. His excellence has been acknowledged with prestigious honors such as the Asian-African Iconic Award (2025), TITAN Health Awards (Platinum, 2025), Indian Achievers’ Award (2025), and multiple leadership recognitions at HCA Healthcare.
In addition to his professional and research work, he is a frequent invited speaker and trainer, having delivered faculty development programs and talks across universities in India on topics ranging from Agentic AI and Pega to Cybersecurity, IoT, and Explainable AI.
With a career at the intersection of technology, healthcare, and innovation, Sairohith continues to drive impact through his leadership, research, and dedication to advancing digital healthcare solutions for societal good.
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