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BEGIN:VEVENT
DTSTAMP:20260504T072908Z
DTSTART;TZID=America/Los_Angeles:20260508T100000
DTEND;TZID=America/Los_Angeles:20260508T140000
SUMMARY:WUSS Virtual Class: Fundamentals of Artificial Intelligence: Ready 
 to Move Beyond AI Hype?
LAST-MODIFIED:20260504T072908Z
LOCATION:https://wuss.regfox.com/wuss-2025-virtuals
TZID:America/Los_Angeles
UID:message-871
DESCRIPTION:Click the link below to go to the event page:\nhttps://communit
 ies.sas.com/t5/Upcoming-Events/WUSS-Virtual-Class-Fundamentals-of-Artifici
 al-Intelligence-Ready/ec-p/986261#M871\n\nFundamentals of Artificial Intel
 ligence: Ready to Move Beyond AI Hype? Build Real Skills That Matter! Lida
  Gharibvand Friday\, May 8\, 2026 10:00 AM – 2:00 PM Pacific Time Register
  now for only $99   Artificial Intelligence isn’t a future trend — it’s to
 day’s strategic differentiator. From scalable machine learning pipelines t
 o autonomous generative agents and intelligent copilots\, modern AI techno
 logies are redefining how professionals extract insight\, streamline opera
 tions\, and engineer high-impact solutions at scale.   Join this high-impa
 ct training and master the modern AI stack  You’ll dive into:  Distinguish
  major AI paradigms and deep learning architectures Apply prompt engineeri
 ng and structured LLM comparison methods Use AI tools for research\, codin
 g\, and data exploration Evaluate AI outputs critically\, including halluc
 ination risks Integrate AI-assisted workflows into professional practice W
 ork with GitHub Copilot\, Cursor\, Kaggle\, and leading LLM platforms This
  is not theoretical. You’ll use real tools\, test prompts\, and evaluate m
 odel outputs in production-style workflows. Leave ready to build faster an
 d use AI as a true analytical co-pilot — not just a chatbot.   Learn not j
 ust how AI works — but when to trust it\, challenge it\, and deploy it for
  measurable impact
X-ALT-DESC;FMTTYPE=text/html:<P>Click the link below to go to the event pag
 e:</P><BR><A href="https://communities.sas.com/t5/Upcoming-Events/WUSS-Vir
 tual-Class-Fundamentals-of-Artificial-Intelligence-Ready/ec-p/986261#M871"
 >https://communities.sas.com/t5/Upcoming-Events/WUSS-Virtual-Class-Fundame
 ntals-of-Artificial-Intelligence-Ready/ec-p/986261#M871</A><BR><BR><P><SPA
 N><STRONG>Fundamentals of Artificial Intelligence: Ready to Move Beyond AI
  Hype? Build Real Skills That Matter!</STRONG></SPAN><BR /><A href="https:
 //www.wuss.org/wuss-2026-virtual-classes/#gharibvand" target="_blank" rel=
 "nofollow noopener noreferrer">Lida Gharibvand</A><BR />Friday\, May 8\, 2
 026<BR />10:00 AM – 2:00 PM Pacific Time</P>\n<P><FONT size="4"><STRONG><A
  href="https://wuss.regfox.com/wuss-2025-virtuals" target="_self" rel="nof
 ollow noopener noreferrer">Register now for only $99</A></STRONG></FONT></
 P>\n<P>&nbsp\;</P>\n<P>Artificial Intelligence isn’t a future trend — it’s
  today’s strategic differentiator. From scalable machine learning pipeline
 s to autonomous generative agents and intelligent copilots\, modern AI tec
 hnologies are redefining how professionals extract insight\, streamline op
 erations\, and engineer high-impact solutions at scale.</P>\n<P>&nbsp\;</P
 >\n<P><STRONG>Join this high-impact training and master the modern AI stac
 k</STRONG></P>\n<P><BR />You’ll dive into:</P>\n<UL>\n<LI>Distinguish majo
 r AI paradigms and deep learning architectures</LI>\n<LI>Apply prompt engi
 neering and structured LLM comparison methods</LI>\n<LI>Use AI tools for r
 esearch\, coding\, and data exploration</LI>\n<LI>Evaluate AI outputs crit
 ically\, including hallucination risks</LI>\n<LI>Integrate AI-assisted wor
 kflows into professional practice</LI>\n<LI>Work with GitHub Copilot\, Cur
 sor\, Kaggle\, and leading LLM platforms</LI>\n</UL>\n<P>This is not theor
 etical. You’ll use real tools\, test prompts\, and evaluate model outputs 
 in production-style workflows. Leave ready to build faster and use AI as a
  true analytical co-pilot — not just a chatbot.</P>\n<P>&nbsp\;</P>\n<P><S
 TRONG>Learn not just how AI works — but when to trust it\, challenge it\, 
 and deploy it for measurable impact</STRONG></P>
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