Unlimited Viewing Recorded Version for 6 months ( Access information will be emailed 24 hours after the completion of live webinar)
Call : +1-800-385-1627
Mailto : support@recordedwebinars.com
Overview:
A non-engineer's session on what Claude Code and Claude Cowork actually do to operator work. We work through specific workflows, specific time savings, and specific things these tools still get wrong. The goal is not to make operators into builders. It is to give operators enough vocabulary and pattern recognition to direct the work, set the guardrails, and tell a useful AI investment from an expensive one.
Why you should Attend:
Your roadmap is full. Your headcount is not. Every quarter there is another tool that promises to fix it and another one that quietly disappears. Knowing what Claude Code and Cowork actually change, not the demo, the daily reality, is the difference between a useful bet and another shelfware purchase.
Areas Covered in the Session:
Who Will Benefit:
Ritesh Vajariya is Founder and CEO of AI Guru®, a practitioner-led venture studio that builds vertical AI products, runs enterprise AI training, and advises boards on AI governance.
He is one of the few practitioners who has architected frontier AI at the infrastructure level and ships production systems today. At Cerebras Systems, he led GenAI strategy on wafer-scale compute. At AWS, he led the team that partnered with Bloomberg on BloombergGPT, one of the most sophisticated enterprise large language models ever deployed; he also owned Amazon SageMaker and contributed to the Bedrock launch, helping grow AWS AI revenue from $40M to over $700M. Before AWS, he spent five years on Bloomberg's machine learning platform team.
Today he builds on Claude. His industrial AI platform, MillMind™, runs live in a working paper mill, an AI operating layer on the Claude API deployed where downtime carries real cost. He has used Claude Code to run a multi-phase, multi-agent security review across his own production stack before third-party penetration testing. This is the lens he brings to teaching: what holds up when an agent is doing real work against real systems, not a demo. He has trained 100,000+ professionals across five continents and shipped 20 deployment-ready AI products on the Claude stack.