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Join our expert-led webinars and stay ahead of the curve with the latest developments in AI, Big Data, and Cloud technologies.

🎙100 + past webinars

Advances in AI – Free Weekly Webinar

Join our weekly series exploring the latest developments in artificial intelligence, machine learning, and data science.

📅 Every Friday at 12:00 PM (Noon) CT

  • ✓Live demos & interactive Q&A sessions
  • ✓Real-world use cases and practical applications
  • ✓Expert insights from industry practitioners
  • ✓Practical takeaways you can apply immediately
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Cyber Security for AI – Free Weekly Webinar

Explore best practices, real-world patterns, and live demos for securing AI & ML pipelines.

📅 Every Thursday at 12:00 PM (Noon) CT

  • ✓Live demos of secure AI workflows
  • ✓Threat-modeling for ML systems
  • ✓Data-privacy & compliance tips
  • ✓Insights from security practitioners
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Previous Webinars

Catch up on our previous sessions covering the latest trends and technologies in AI, data science, and cloud computing.

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May 30, 2025

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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May 23, 2025

Agentic with Java

Building autonomous, agent-based AI pipelines in pure Java using LangChain4J, RAG patterns, and modern tooling.

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May 16, 2025

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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May 09, 2025

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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May 2, 2025

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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April 25, 2025

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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