BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Asia/Kolkata BEGIN:STANDARD DTSTART:19451014T230000 TZOFFSETFROM:+0630 TZOFFSETTO:+0530 TZNAME:IST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250910T180124Z UID:662F46E2-6442-4E6C-82AD-2F97D9F063F8 DTSTART;TZID=Asia/Kolkata:20250901T170000 DTEND;TZID=Asia/Kolkata:20250905T180000 DESCRIPTION:[]\n\nThe immersive workshop introduces participants to Agentic AI\, which is a cutting-edge approach for building autonomous\, goal-driv en systems. The goal is for attendees to learn how to design agent-like fl ows\, utilize industry tools\, and deploy intelligent systems on the cloud .\n\nThe daily schedule is as follows:\n\nDay 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 ev olution of agentic systems \, real-world examples like AutoGPT 6\, and the role the cloud plays in agent memory and computation7.\n\nDay 2 - Tools a nd Use Cases: This day explores applications in healthcare\, business\, ro botics\, 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 SageM aker.\n\nDay 3 - Explainable AI and Model Behavior: Participants will lear n about black-box versus white-box models \, XAI (Explainable AI) techniqu es like rule tracing and feature importance \, issues of model fit such as overfitting and underfitting \, and how agents learn through feedback loo ps\n\nDay 4 - Agent Logic with Pega: This session focuses on using Pega fo r 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.\n\nDay 5 - Performance\, Scaling and Capstone: Th e final day will address challenges of real-time behavior 16\, monitoring tools like PAL and Tracer 17\, tips for cloud deployment such as autoscali ng and using stateless agents 18\, and will conclude with a capstone proje ct to design an agentic system\n\nSpeaker(s): Kelvin Nguyen Le\, Sairohith Thummarakoti\n\nVirtual: https://events.vtools.ieee.org/m/500426 LOCATION:Virtual: https://events.vtools.ieee.org/m/500426 ORGANIZER:ieee.sb@rgukt.ac.in SEQUENCE:23 SUMMARY:5 Days Online Free Workshop on Building Agentic AI Systems on the C loud URL;VALUE=URI:https://events.vtools.ieee.org/m/500426 X-ALT-DESC:Description: <br /><p><img src="https://events.vtools.ieee.org/v tools_ui/media/display/23b1830c-7046-4ebd-9625-2c87afa769fc" alt="" width= "655" height="1420">&nbsp\; &nbsp\;</p>\n<p>The immersive workshop introdu ces participants to Agentic AI\, which is a cutting-edge approach for buil ding autonomous\, goal-driven systems. The goal is for attendees to learn how to design agent-like flows\, utilize industry tools\, and deploy intel ligent systems on the cloud.</p>\n<p>The daily schedule is as follows:</p> \n<p>Day 1 - Understanding Agentic AI: The session will cover the differen ce between agent and traditional AI \, the main traits of agents (autonomy \, goals\, self-adjustment) \, the evolution of agentic systems \, real-wo rld examples like AutoGPT 6\, and the role the cloud plays in agent memory and computation7.</p>\n<p>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 pla tforms such as Pega\, Salesforce Einstein\, and IBM Watson 10\, and cloud APIs including OpenAI\, Gemini\, and SageMaker.</p>\n<p>Day 3 - Explainabl e AI and Model Behavior: Participants will learn about black-box versus wh ite-box models \, XAI (Explainable AI) techniques like rule tracing and fe ature importance \, issues of model fit such as overfitting and underfitti ng \, and how agents learn through feedback loops</p>\n<p>Day 4 - Agent Lo gic with Pega: This session focuses on using Pega for no-code/low-code age nt design. It covers case life cycles\, flow rules\, decisioning\, the Peg a Decision Hub\, Process AI\, and modeling autonomy within enterprise flow s.</p>\n<p>Day 5 - Performance\, Scaling and Capstone: The final day will address challenges of real-time behavior 16\, monitoring tools like PAL an d Tracer 17\, tips for cloud deployment such as autoscaling and using stat eless agents 18\, and will conclude with a capstone project to design an a gentic system</p> END:VEVENT END:VCALENDAR