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Advances in AI – Free Weekly Webinar
Join our weekly series exploring the latest developments in artificial intelligence, machine learning, and data science.
đź“… Every Friday at 12:00 PM (Noon) CT
- âś“Live demos & interactive Q&A sessions
- âś“Real-world use cases and practical applications
- âś“Expert insights from industry practitioners
- âś“Practical takeaways you can apply immediately
Cyber Security for AI – Free Weekly Webinar
Explore best practices, real-world patterns, and live demos for securing AI & ML pipelines.
đź“… Every other Thursday at 1:00 PM CT
- âś“Live demos of secure AI workflows
- âś“Threat-modeling for ML systems
- âś“Data-privacy & compliance tips
- âś“Insights from security practitioners
Previous Webinars
Catch up on our previous sessions covering the latest trends and technologies in AI, data science, and cloud computing.
Multi-Vector Image Search, Kiro’s Real Role & TOON vs .txt | Weekly Agentic AI Deep Dive
Weekly AI news plus a hands-on multi-vector image retrieval demo for smarter RAG/search, a discussion of Kiro’s role as a coding agent inside an IDE, and a comparison of TOON vs schema/grammar-based structured outputs (.txt/Outlines).
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Who Trusts AI More? China vs US & Europe | Tool-Using Coding Agents & “Document Researcher” Demo
Why AI trust is higher in China than in the US/Europe, plus hands-on agent design with tool-executing coding agents and a “Document Researcher” workflow for long-document search and synthesis.
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Agentic AI Crash Course, Semantic Caching & “Awesome Generative AI Guide” | Weekly AI News
Codex-by-email impressions, a curated GenAI learning guide, agentic AI basics (and pitfalls), Google’s AI guidance, and semantic caching to speed up and cut costs for agents.
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LM Studio Live Demo, CrewAI Multi-Agent Systems & Jupyter AI Notebooks Explained
Hands-on demos of LM Studio for running local LLMs, CrewAI for multi-agent orchestration, and Jupyter AI for faster coding inside notebooks.
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We Built an AI Education Advisor | Governing AI Agents | Jupyter AI Coding Demo
Demo of our AI Advisor education agent (smartapply.elephantscale.com), plus practical lessons on data governance and governing AI agents in production, ending with a hands-on Jupyter AI notebook coding walkthrough.A behind-the-scenes look at building real-world workflows with OpenAI Codex—tips, pitfalls, and live demos.
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From Monolith to Microservice in 2 Hours | Governing AI Agents | Andrew Ng's Newest Course
AI governance best practices plus a live monolith-to-Docker microservice refactor, with updates on Andrew Ng’s agentic AI modules, AMD ROCm post-training optimization, and PyTorch learnings from Laurence Moroney.
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Google's Agent-to-Agent (A2A) & OpenAI's Agentic Guidelines | Building Real-Time Voice RAG
OpenAI Atlas + agent guidelines, Google A2A, Peachy (reachy_mini) updates, and a practical Voice RAG walkthrough with grounding and Google ADK bidirectional audio streaming.
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Andrew Ng's COMPLETE Agentic AI Plan Revealed | OpenAI Landscape & Google Voice Agents
Andrew Ng’s complete agentic AI roadmap, OpenAI’s agent landscape, a hands-on build of live voice agents with Google ADK, plus a preview of our Sec-for-AI cybersecurity series
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Andrew Ng's Agentic AI Framework | Live Demo: Building an AI Planning Agent | MosesAI Restored!
Deep dive into Andrew Ng’s agentic AI frameworks and multi-agent training, updates on MosesAI and AI & Security, and a live build of a planning agent that queries our AI Education spreadsheet.
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LandingAI for Document Extraction | Is Curated Data a Myth? | OpenAI's Trillion-Dollar Plan
LandingAI-style document extraction, curated-data vs CustomGPT debate, a planning-agent demo from our AI Education spreadsheet, plus updates on OpenAI’s spending, a great knowledge graph, and restoring MosesAI.
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Knowledge Graphs: Hype vs. Reality | How Snowflake Builds Reliable AI Data Agents
We cut through the Knowledge Graph hype with our research (where KGs work and where they don’t) and show how Snowflake builds reliable data agents using multi-step reasoning and systematic evaluation.
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How People Actually Use ChatGPT | Kiro & LangGraph Working Demos | SAP KG for API Discovery
Live demos of AWS Kiro and a working LangGraph agent, plus insights from an OpenAI study on ChatGPT usage, Box.com’s MCP strategy, and knowledge graphs for enterprise API discovery.
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Story of my Work in Codex
A behind-the-scenes look at building real-world workflows with OpenAI Codex—tips, pitfalls, and live demos.
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Agentic with Java
Building autonomous, agent-based AI pipelines in pure Java using LangChain4J, RAG patterns, and modern tooling.
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Euro LLM Overview
A survey of Europe’s open-source LLM landscape—Gemma, Falcon-EU, Aleph Alpha, and emerging research directions.
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Large Language Models in Production: Scaling and Optimization
Learn best practices for deploying and scaling LLMs in production environments, including optimization techniques and cost management strategies.
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Vector Databases 101: Building AI-Powered Search Applications
Introduction to vector databases and their role in modern AI applications, with hands-on examples using popular vector DB solutions.
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Streaming Machine Learning with Apache Kafka and MLflow
Discover how to build real-time ML pipelines using Kafka for data streaming and MLflow for model management and deployment.
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