VIRTUAL EVENT
Red Hat AI Elevate
30 July, 2026
Move beyond the AI hype and master the full AI lifecycle. Join business and IT leaders to discover how a Lifecycle-First strategy with Red Hat can de-risk your investments and turn experimental prototypes into sustainable enterprise workflows.
About the event
Red Hat AI Elevate gives you insight into how to accelerate time to value for AI-enabled applications that scale across hybrid cloud. It shows how teams can improve productivity, enhance customer experiences, and drive innovation with enterprise-ready AI, including generative and predictive AI. You’ll also see how to measure the business impact of an AI initiative.
Attendees will have the opportunity to build, train, and deploy AI models and integrate them into an application through a hands-on lab. They’ll experience what it is like to go from an idea to building an accurate model to having a production-ready application.
Red Hat AI Elevate - Virtual event
30 July, 2026 | 1:00 p.m. - 4:00 p.m. SGT
HANDS-ON VIRTUAL WORKSHOP
Date: 30 July, 2026
Time: 1:00 p.m. - 4:00 p.m. SGT (GMT+8)
Recommended Pre-work: To get the most out of this session, we recommend reviewing:
- Red Hat AI Foundations Technologist Course: Explore Learning Path
- Introduction to Machine Learning with Jupyter Notebooks: Read Article
Enterprise AgentOps with Red Hat AI Enterprise and NVIDIA
Join this hands-on technical workshop to experience the Red Hat AI Factory with NVIDIA - a validated blueprint for moving AI initiatives from experimentation to secure, scalable production. You'll gain practical experience building and operating enterprise-grade AI solutions on the unified foundation of Red Hat AI Enterprise with NVIDIA.
In this workshop, you will:
- Deploy enterprise LLMs – Experience installing and configuring the NVIDIA Nemotron LLM in the integrated Red Hat and NVIDIA AI environment
- Monitor AI workloads in production – Use Red Hat AI's integrated observability stack to track key metrics and logs across your AI applications
- Trace multi-agent executions – Follow requests through multi-agent frameworks and Model Context Protocol (MCP) tools to understand complete decision-making paths
- Evaluate LLM quality at scale – Combine distributed tracing with LLM evaluations in MLflow to ensure agents maintain high-quality outputs
- Automate AI deployment pipelines – Move from manual notebook evaluations to continuous, automated AI pipelines running on the platform
Keynote speech
From AI experiments to enterprise impact: Scaling trusted AI with confidence
Date/time: 24 June, 2026 | 9:00 a.m. - 9:30 a.m. SGT
This session explores the clear path from isolated AI initiatives to production-ready systems. From building and securing intelligent agents to accelerating deployment via validated AI infrastructure, learn how Red Hat and partners like NVIDIA help organisations operationalise AI with confidence.
Speaker: Steve Shirkey, Director, AI Platform Leader, Red Hat
Session 1
Develop and secure agents on Red Hat AI
Date/time: 24 June, 2026
9:45 a.m. - 10:15 a.m. SGT
This session covers Red Hat's "Enterprise Blueprint for Compound Agentic Systems" for secure, scalable Agentic AI. It overcomes security and governance challenges via Zero Trust, Least Privilege, intelligent semantic routing, and AgentOps for unified lifecycle management and observability.
Speaker: Li Ming Tsai, Principal AI Architect, Red Hat
Session 2
Governing AI in Production with Harness Engineering
Date/time: 24 June, 2026
10:30 a.m. - 11:00 a.m. SGT
This session covers Red Hat's operational AI platform: Models as a Service centralizes delivery, continuous security protects models, and distributed inference cuts costs. Its unified control plane applies policies centrally across any model, accelerator, or cloud.
Speaker: Andreas Spanner, Chief Architect, CTO Office, Red Hat
Session 3
Red Hat AI Factory with NVIDIA: From AI experimentation to production at scale
Date/time: 24 June, 2026
11:15 a.m. - 11:45 a.m. SGT
Explore how the unified Red Hat and NVIDIA platform supports production use cases from Model as a Service to agentic AI. Day 0 support for NVIDIA Blackwell and Rubin keeps you ahead of the curve. Learn what a production-ready AI platform looks like on-prem, cloud, or edge, and how to start.
Speaker: Jeff Winn, Senior Director, Global AI Platform, Red Hat & Hemant Dhulla, Vice President, NVIDIA AI Software
Red Hat AI Elevate - Virtual event
30 July, 2026 | 10:30 a.m. - 1:30 p.m. IST
HANDS-ON VIRTUAL WORKSHOP
Date: 30 July, 2026
Time: 10:30 a.m. - 1:30 p.m. IST (GMT+5:30)
Recommended Pre-work: To get the most out of this session, we recommend reviewing:
- Red Hat AI Foundations Technologist Course: Explore Learning Path
- Introduction to Machine Learning with Jupyter Notebooks: Read Article
Enterprise AgentOps with Red Hat AI Enterprise and NVIDIA
Join this hands-on technical workshop to experience the Red Hat AI Factory with NVIDIA - a validated blueprint for moving AI initiatives from experimentation to secure, scalable production. You'll gain practical experience building and operating enterprise-grade AI solutions on the unified foundation of Red Hat AI Enterprise with NVIDIA.
In this workshop, you will:
- Deploy enterprise LLMs – Experience installing and configuring the NVIDIA Nemotron LLM in the integrated Red Hat and NVIDIA AI environment
- Monitor AI workloads in production – Use Red Hat AI's integrated observability stack to track key metrics and logs across your AI applications
- Trace multi-agent executions – Follow requests through multi-agent frameworks and Model Context Protocol (MCP) tools to understand complete decision-making paths
- Evaluate LLM quality at scale – Combine distributed tracing with LLM evaluations in MLflow to ensure agents maintain high-quality outputs
- Automate AI deployment pipelines – Move from manual notebook evaluations to continuous, automated AI pipelines running on the platform
Keynote speech
From AI experiments to enterprise impact: Scaling trusted AI with confidence
Date/time: 24 June, 2026 | 9:00 a.m. - 9:30 a.m. IST
This session explores the clear path from isolated AI initiatives to production-ready systems. From building and securing intelligent agents to accelerating deployment via validated AI infrastructure, learn how Red Hat and partners like NVIDIA help organisations operationalise AI with confidence.
Speaker: Steve Shirkey, Director, AI Platform Leader, Red Hat
Session 1
Develop and secure agents on Red Hat AI
Date/time: 24 June, 2026
9:45 a.m. - 10:15 a.m. IST
This session covers Red Hat's "Enterprise Blueprint for Compound Agentic Systems" for secure, scalable Agentic AI. It overcomes security and governance challenges via Zero Trust, Least Privilege, intelligent semantic routing, and AgentOps for unified lifecycle management and observability.
Speaker: Li Ming Tsai, Principal AI Architect, Red Hat
Session 2
Governing AI in Production with Harness Engineering
Date/time: 24 June, 2026
10:30 a.m. - 11:00 a.m. IST
This session covers Red Hat's operational AI platform: Models as a Service centralizes delivery, continuous security protects models, and distributed inference cuts costs. Its unified control plane applies policies centrally across any model, accelerator, or cloud.
Speaker: Andreas Spanner, Chief Architect, CTO Office, Red Hat
Session 3
Red Hat AI Factory with NVIDIA: From AI experimentation to production at scale
Date/time: 24 June, 2026
11:15 a.m. - 11:45 a.m. IST
Explore how the unified Red Hat and NVIDIA platform supports production use cases from Model as a Service to agentic AI. Day 0 support for NVIDIA Blackwell and Rubin keeps you ahead of the curve. Learn what a production-ready AI platform looks like on-prem, cloud, or edge, and how to start.
Speaker: Jeff Winn, Senior Director, Global AI Platform, Red Hat & Hemant Dhulla, Vice President, NVIDIA AI Software
Red Hat AI Elevate - Virtual event
30 July, 2026 | 3:00 p.m. - 6:00 p.m. JST
ハンズオン・バーチャル・ワークショップ
日程: 2026年7月30日（木）
時間： 午後 3:00 ～ 午後 6:00 （JST）
推奨される事前学習： 本セッションの学習効果を最大限に高めるため、事前に以下の内容をご確認いただくことをお勧めします。
- Red Hat AI Foundations テクノロジストコース： [ラーニングパスを見る]
- Jupyter Notebook を使用した機械学習入門： [記事を読む]
Red Hat AI EnterpriseとNVIDIAによるエンタープライズAgentOps
AIの取り組みを実験段階からセキュアでスケーラブルな本番環境へと移行するための検証済みブループリント、「Red Hat AI Factory with NVIDIA」を体感できるハンズオン・テクニカル・ワークショップにぜひご参加ください。Red Hat AI EnterpriseとNVIDIAが統合された基盤上で、エンタープライズ向けのAIソリューションを構築・運用する実践的なスキルを習得できます。
本ワークショップで学べること：
- エンタープライズLLMのデプロイ – Red HatとNVIDIAの統合AI環境において、NVIDIA Nemotron LLMのインストールと構成を体験します。
- 本番環境におけるAIワークロードの監視 – Red Hat AIの統合オブザーバビリティ（可観測性）スタックを使用し、AIアプリケーション全体の主要なメトリクスやログを追跡します。
- マルチエージェント実行のトレース – マルチエージェント・フレームワークやModel Context Protocol（MCP）ツールを通じてリクエストを追跡し、意思決定のプロセス全体を把握します。
- 大規模なLLM品質評価 – 分散トレースとMLflowにおけるLLM評価を組み合わせ、エージェントが「高品質な出力」を維持しているかを検証します。
- AIデプロイ・パイプラインの自動化 – ノートブックによる手動評価から、プラットフォーム上で実行される継続的かつ自動化されたAIパイプラインへの移行を実現します。
Keynote speech
From AI experiments to enterprise impact: Scaling trusted AI with confidence
Date/time: 24 June, 2026 | 9:00 a.m. - 9:30 a.m. JST
This session explores the clear path from isolated AI initiatives to production-ready systems. From building and securing intelligent agents to accelerating deployment via validated AI infrastructure, learn how Red Hat and partners like NVIDIA help organisations operationalise AI with confidence.
Speaker: Steve Shirkey, Director, AI Platform Leader, Red Hat
Session 1
Develop and secure agents on Red Hat AI
Date/time: 24 June, 2026
9:45 a.m. - 10:15 a.m. JST
This session covers Red Hat's "Enterprise Blueprint for Compound Agentic Systems" for secure, scalable Agentic AI. It overcomes security and governance challenges via Zero Trust, Least Privilege, intelligent semantic routing, and AgentOps for unified lifecycle management and observability.
Speaker: Li Ming Tsai, Principal AI Architect, Red Hat
Session 2
Governing AI in Production with Harness Engineering
Date/time: 24 June, 2026
10:30 a.m. - 11:00 a.m. JST
This session covers Red Hat's operational AI platform: Models as a Service centralizes delivery, continuous security protects models, and distributed inference cuts costs. Its unified control plane applies policies centrally across any model, accelerator, or cloud.
Speaker: Andreas Spanner, Chief Architect, CTO Office, Red Hat
Session 3
Red Hat AI Factory with NVIDIA: From AI experimentation to production at scale
Date/time: 24 June, 2026
11:15 a.m. - 11:45 a.m. JST
Explore how the unified Red Hat and NVIDIA platform supports production use cases from Model as a Service to agentic AI. Day 0 support for NVIDIA Blackwell and Rubin keeps you ahead of the curve. Learn what a production-ready AI platform looks like on-prem, cloud, or edge, and how to start.
Speaker: Jeff Winn, Senior Director, Global AI Platform, Red Hat & Hemant Dhulla, Vice President, NVIDIA AI Software
Red Hat AI Elevate - Virtual event
30 July, 2026 | 2:30 p.m. - 5:30 p.m. KST
실습형 버추얼 워크숍
일시: 2026년 7월 30일 (목)
시간: 오후 2:30 ~ 오후 5:30 (KST)
권장 사전 준비사항:
본 세션에서 최고의 효과를 얻으실 수 있도록 다음 내용을 미리 검토해 보시는 것을 권장합니다.
- Red Hat AI Foundations 기술 전문가 과정: [학습 경로 알아보기]
- Jupyter Notebook을 활용한 머신러닝 입문: [아티클 읽기]
Red Hat AI Enterprise 및 NVIDIA 기반의 엔터프라이즈 AgentOps
AI 프로젝트를 단순 실험 단계에서 안전하고 확장 가능한 Production환경으로 전환하는 검증된 Best Practice, 'Red Hat AI Factory with NVIDIA'를 직접 경험해 볼 수 있는 기술 실습 워크숍에 여러분을 초대합니다.
본 워크숍에서는 Red Hat AI Enterprise와 NVIDIA가 통합된 단일 플랫폼 기반 위에서 엔터프라이즈급 AI 솔루션을 구축하고 운영하는 실무 경험을 쌓을 수 있습니다.
이번 워크숍에서 다룰 핵심 내용:
- 엔터프라이즈 LLM 배포 – Red Hat과 NVIDIA의 통합 AI 환경에서 NVIDIA Nemotron LLM을 직접 설치하고 구성해 봅니다.
- 운영 환경의 AI 워크로드 모니터링 – Red Hat AI의 통합 관측(Observability) 스택을 활용하여 AI 애플리케이션 전반의 핵심 메트릭과 로그를 추적합니다.
- 멀티 에이전트 실행 추적 – 멀티 에이전트 프레임워크 및 MCP(Model Context Protocol) 툴을 통해 요청(Request)을 추적하고, 전체 의사 결정 경로를 심층적으로 이해합니다.
- 대규모 LLM 품질 평가 – 분산 추적(Distributed Tracing) 기능을 MLflow의 LLM 평가와 결합하여, 에이전트가 고품질의 결과물을 지속적으로 유지하는지 검증합니다.
- AI 배포 파이프라인 자동화 – 수동 노트북 평가 방식에서 벗어나, 플랫폼에서 구동되는 지속적이고 자동화된 AI 파이프라인 구축 단계로 전환합니다.
Keynote speech
From AI experiments to enterprise impact: Scaling trusted AI with confidence
Date/time: 24 June, 2026 | 9:00 a.m. - 9:30 a.m. KST
This session explores the clear path from isolated AI initiatives to production-ready systems. From building and securing intelligent agents to accelerating deployment via validated AI infrastructure, learn how Red Hat and partners like NVIDIA help organisations operationalise AI with confidence.
Speaker: Steve Shirkey, Director, AI Platform Leader, Red Hat
Session 1
Develop and secure agents on Red Hat AI
Date/time: 24 June, 2026
9:45 a.m. - 10:15 a.m. KST
This session covers Red Hat's "Enterprise Blueprint for Compound Agentic Systems" for secure, scalable Agentic AI. It overcomes security and governance challenges via Zero Trust, Least Privilege, intelligent semantic routing, and AgentOps for unified lifecycle management and observability.
Speaker: Li Ming Tsai, Principal AI Architect, Red Hat
Session 2
Governing AI in Production with Harness Engineering
Date/time: 24 June, 2026
10:30 a.m. - 11:00 a.m. KST
This session covers Red Hat's operational AI platform: Models as a Service centralizes delivery, continuous security protects models, and distributed inference cuts costs. Its unified control plane applies policies centrally across any model, accelerator, or cloud.
Speaker: Andreas Spanner, Chief Architect, CTO Office, Red Hat
Session 3
Red Hat AI Factory with NVIDIA: From AI experimentation to production at scale
Date/time: 24 June, 2026
11:15 a.m. - 11:45 a.m. KST
Explore how the unified Red Hat and NVIDIA platform supports production use cases from Model as a Service to agentic AI. Day 0 support for NVIDIA Blackwell and Rubin keeps you ahead of the curve. Learn what a production-ready AI platform looks like on-prem, cloud, or edge, and how to start.
Speaker: Jeff Winn, Senior Director, Global AI Platform, Red Hat & Hemant Dhulla, Vice President, NVIDIA AI Software
Red Hat AI Elevate - Virtual event
30 July, 2026 | 10:00 a.m. - 1:00 p.m. AEST
HANDS-ON VIRTUAL WORKSHOP
Date: 30 July, 2026
Time: 10:00 a.m. - 1:00 p.m. AEST (GMT+10)
Recommended Prework: To get the most out of this session, we recommend reviewing:
- Red Hat AI Foundations Technologist Course: Explore Learning Path
- Introduction to Machine Learning with Jupyter Notebooks: Read Article
Enterprise AgentOps with Red Hat AI Enterprise and NVIDIA
Join this hands-on technical workshop to experience the Red Hat AI Factory with NVIDIA - a validated blueprint for moving AI initiatives from experimentation to secure, scalable production. You'll gain practical experience building and operating enterprise-grade AI solutions on the unified foundation of Red Hat AI Enterprise with NVIDIA.
In this workshop, you will:
- Deploy enterprise LLMs – Experience installing and configuring the NVIDIA Nemotron LLM in the integrated Red Hat and NVIDIA AI environment
- Monitor AI workloads in production – Use Red Hat AI's integrated observability stack to track key metrics and logs across your AI applications
- Trace multi-agent executions – Follow requests through multi-agent frameworks and Model Context Protocol (MCP) tools to understand complete decision-making paths
- Evaluate LLM quality at scale – Combine distributed tracing with LLM evaluations in MLflow to ensure agents maintain high-quality outputs
- Automate AI deployment pipelines – Move from manual notebook evaluations to continuous, automated AI pipelines running on the platform
Keynote speech
From AI experiments to enterprise impact: Scaling trusted AI with confidence
Date/time: 24 June, 2026 | 9:00 a.m. - 9:30 a.m. AEST
This session explores the clear path from isolated AI initiatives to production-ready systems. From building and securing intelligent agents to accelerating deployment via validated AI infrastructure, learn how Red Hat and partners like NVIDIA help organisations operationalise AI with confidence.
Speaker: Steve Shirkey, Director, AI Platform Leader, Red Hat
Session 1
Develop and secure agents on Red Hat AI
Date/time: 24 June, 2026
9:45 a.m. - 10:15 a.m. AEST
This session covers Red Hat's "Enterprise Blueprint for Compound Agentic Systems" for secure, scalable Agentic AI. It overcomes security and governance challenges via Zero Trust, Least Privilege, intelligent semantic routing, and AgentOps for unified lifecycle management and observability.
Speaker: Li Ming Tsai, Principal AI Architect, Red Hat
Session 2
Governing AI in Production with Harness Engineering
Date/time: 24 June, 2026
10:30 a.m. - 11:00 a.m. AEST
This session covers Red Hat's operational AI platform: Models as a Service centralizes delivery, continuous security protects models, and distributed inference cuts costs. Its unified control plane applies policies centrally across any model, accelerator, or cloud.
Speaker: Andreas Spanner, Chief Architect, CTO Office, Red Hat
Session 3
Red Hat AI Factory with NVIDIA: From AI experimentation to production at scale
Date/time: 24 June, 2026
11:15 a.m. - 11:45 a.m. AEST
Explore how the unified Red Hat and NVIDIA platform supports production use cases from Model as a Service to agentic AI. Day 0 support for NVIDIA Blackwell and Rubin keeps you ahead of the curve. Learn what a production-ready AI platform looks like on-prem, cloud, or edge, and how to start.
Speaker: Jeff Winn, Senior Director, Global AI Platform, Red Hat & Hemant Dhulla, Vice President, NVIDIA AI Software
ASEAN+HK - SGT
Red Hat AI Elevate - Virtual event
30 July, 2026 | 1:00 p.m. - 4:00 p.m. SGT
HANDS-ON VIRTUAL WORKSHOP
Date: 30 July, 2026
Time: 1:00 p.m. - 4:00 p.m. SGT (GMT+8)
Recommended Pre-work: To get the most out of this session, we recommend reviewing:
- Red Hat AI Foundations Technologist Course: Explore Learning Path
- Introduction to Machine Learning with Jupyter Notebooks: Read Article
Enterprise AgentOps with Red Hat AI Enterprise and NVIDIA
Join this hands-on technical workshop to experience the Red Hat AI Factory with NVIDIA - a validated blueprint for moving AI initiatives from experimentation to secure, scalable production. You'll gain practical experience building and operating enterprise-grade AI solutions on the unified foundation of Red Hat AI Enterprise with NVIDIA.
In this workshop, you will:
- Deploy enterprise LLMs – Experience installing and configuring the NVIDIA Nemotron LLM in the integrated Red Hat and NVIDIA AI environment
- Monitor AI workloads in production – Use Red Hat AI's integrated observability stack to track key metrics and logs across your AI applications
- Trace multi-agent executions – Follow requests through multi-agent frameworks and Model Context Protocol (MCP) tools to understand complete decision-making paths
- Evaluate LLM quality at scale – Combine distributed tracing with LLM evaluations in MLflow to ensure agents maintain high-quality outputs
- Automate AI deployment pipelines – Move from manual notebook evaluations to continuous, automated AI pipelines running on the platform
Keynote speech
From AI experiments to enterprise impact: Scaling trusted AI with confidence
Date/time: 24 June, 2026 | 9:00 a.m. - 9:30 a.m. SGT
This session explores the clear path from isolated AI initiatives to production-ready systems. From building and securing intelligent agents to accelerating deployment via validated AI infrastructure, learn how Red Hat and partners like NVIDIA help organisations operationalise AI with confidence.
Speaker: Steve Shirkey, Director, AI Platform Leader, Red Hat
Session 1
Develop and secure agents on Red Hat AI
Date/time: 24 June, 2026
9:45 a.m. - 10:15 a.m. SGT
This session covers Red Hat's "Enterprise Blueprint for Compound Agentic Systems" for secure, scalable Agentic AI. It overcomes security and governance challenges via Zero Trust, Least Privilege, intelligent semantic routing, and AgentOps for unified lifecycle management and observability.
Speaker: Li Ming Tsai, Principal AI Architect, Red Hat
Session 2
Governing AI in Production with Harness Engineering
Date/time: 24 June, 2026
10:30 a.m. - 11:00 a.m. SGT
This session covers Red Hat's operational AI platform: Models as a Service centralizes delivery, continuous security protects models, and distributed inference cuts costs. Its unified control plane applies policies centrally across any model, accelerator, or cloud.
Speaker: Andreas Spanner, Chief Architect, CTO Office, Red Hat
Session 3
Red Hat AI Factory with NVIDIA: From AI experimentation to production at scale
Date/time: 24 June, 2026
11:15 a.m. - 11:45 a.m. SGT
Explore how the unified Red Hat and NVIDIA platform supports production use cases from Model as a Service to agentic AI. Day 0 support for NVIDIA Blackwell and Rubin keeps you ahead of the curve. Learn what a production-ready AI platform looks like on-prem, cloud, or edge, and how to start.
Speaker: Jeff Winn, Senior Director, Global AI Platform, Red Hat & Hemant Dhulla, Vice President, NVIDIA AI Software
India - IST
Red Hat AI Elevate - Virtual event
30 July, 2026 | 10:30 a.m. - 1:30 p.m. IST
HANDS-ON VIRTUAL WORKSHOP
Date: 30 July, 2026
Time: 10:30 a.m. - 1:30 p.m. IST (GMT+5:30)
Recommended Pre-work: To get the most out of this session, we recommend reviewing:
- Red Hat AI Foundations Technologist Course: Explore Learning Path
- Introduction to Machine Learning with Jupyter Notebooks: Read Article
Enterprise AgentOps with Red Hat AI Enterprise and NVIDIA
Join this hands-on technical workshop to experience the Red Hat AI Factory with NVIDIA - a validated blueprint for moving AI initiatives from experimentation to secure, scalable production. You'll gain practical experience building and operating enterprise-grade AI solutions on the unified foundation of Red Hat AI Enterprise with NVIDIA.
In this workshop, you will:
- Deploy enterprise LLMs – Experience installing and configuring the NVIDIA Nemotron LLM in the integrated Red Hat and NVIDIA AI environment
- Monitor AI workloads in production – Use Red Hat AI's integrated observability stack to track key metrics and logs across your AI applications
- Trace multi-agent executions – Follow requests through multi-agent frameworks and Model Context Protocol (MCP) tools to understand complete decision-making paths
- Evaluate LLM quality at scale – Combine distributed tracing with LLM evaluations in MLflow to ensure agents maintain high-quality outputs
- Automate AI deployment pipelines – Move from manual notebook evaluations to continuous, automated AI pipelines running on the platform
Keynote speech
From AI experiments to enterprise impact: Scaling trusted AI with confidence
Date/time: 24 June, 2026 | 9:00 a.m. - 9:30 a.m. IST
This session explores the clear path from isolated AI initiatives to production-ready systems. From building and securing intelligent agents to accelerating deployment via validated AI infrastructure, learn how Red Hat and partners like NVIDIA help organisations operationalise AI with confidence.
Speaker: Steve Shirkey, Director, AI Platform Leader, Red Hat
Session 1
Develop and secure agents on Red Hat AI
Date/time: 24 June, 2026
9:45 a.m. - 10:15 a.m. IST
This session covers Red Hat's "Enterprise Blueprint for Compound Agentic Systems" for secure, scalable Agentic AI. It overcomes security and governance challenges via Zero Trust, Least Privilege, intelligent semantic routing, and AgentOps for unified lifecycle management and observability.
Speaker: Li Ming Tsai, Principal AI Architect, Red Hat
Session 2
Governing AI in Production with Harness Engineering
Date/time: 24 June, 2026
10:30 a.m. - 11:00 a.m. IST
This session covers Red Hat's operational AI platform: Models as a Service centralizes delivery, continuous security protects models, and distributed inference cuts costs. Its unified control plane applies policies centrally across any model, accelerator, or cloud.
Speaker: Andreas Spanner, Chief Architect, CTO Office, Red Hat
Session 3
Red Hat AI Factory with NVIDIA: From AI experimentation to production at scale
Date/time: 24 June, 2026
11:15 a.m. - 11:45 a.m. IST
Explore how the unified Red Hat and NVIDIA platform supports production use cases from Model as a Service to agentic AI. Day 0 support for NVIDIA Blackwell and Rubin keeps you ahead of the curve. Learn what a production-ready AI platform looks like on-prem, cloud, or edge, and how to start.
Speaker: Jeff Winn, Senior Director, Global AI Platform, Red Hat & Hemant Dhulla, Vice President, NVIDIA AI Software
Japan - JST
Red Hat AI Elevate - Virtual event
30 July, 2026 | 3:00 p.m. - 6:00 p.m. JST
ハンズオン・バーチャル・ワークショップ
日程: 2026年7月30日（木）
時間： 午後 3:00 ～ 午後 6:00 （JST）
推奨される事前学習： 本セッションの学習効果を最大限に高めるため、事前に以下の内容をご確認いただくことをお勧めします。
- Red Hat AI Foundations テクノロジストコース： [ラーニングパスを見る]
- Jupyter Notebook を使用した機械学習入門： [記事を読む]
Red Hat AI EnterpriseとNVIDIAによるエンタープライズAgentOps
AIの取り組みを実験段階からセキュアでスケーラブルな本番環境へと移行するための検証済みブループリント、「Red Hat AI Factory with NVIDIA」を体感できるハンズオン・テクニカル・ワークショップにぜひご参加ください。Red Hat AI EnterpriseとNVIDIAが統合された基盤上で、エンタープライズ向けのAIソリューションを構築・運用する実践的なスキルを習得できます。
本ワークショップで学べること：
- エンタープライズLLMのデプロイ – Red HatとNVIDIAの統合AI環境において、NVIDIA Nemotron LLMのインストールと構成を体験します。
- 本番環境におけるAIワークロードの監視 – Red Hat AIの統合オブザーバビリティ（可観測性）スタックを使用し、AIアプリケーション全体の主要なメトリクスやログを追跡します。
- マルチエージェント実行のトレース – マルチエージェント・フレームワークやModel Context Protocol（MCP）ツールを通じてリクエストを追跡し、意思決定のプロセス全体を把握します。
- 大規模なLLM品質評価 – 分散トレースとMLflowにおけるLLM評価を組み合わせ、エージェントが「高品質な出力」を維持しているかを検証します。
- AIデプロイ・パイプラインの自動化 – ノートブックによる手動評価から、プラットフォーム上で実行される継続的かつ自動化されたAIパイプラインへの移行を実現します。
Keynote speech
From AI experiments to enterprise impact: Scaling trusted AI with confidence
Date/time: 24 June, 2026 | 9:00 a.m. - 9:30 a.m. JST
This session explores the clear path from isolated AI initiatives to production-ready systems. From building and securing intelligent agents to accelerating deployment via validated AI infrastructure, learn how Red Hat and partners like NVIDIA help organisations operationalise AI with confidence.
Speaker: Steve Shirkey, Director, AI Platform Leader, Red Hat
Session 1
Develop and secure agents on Red Hat AI
Date/time: 24 June, 2026
9:45 a.m. - 10:15 a.m. JST
This session covers Red Hat's "Enterprise Blueprint for Compound Agentic Systems" for secure, scalable Agentic AI. It overcomes security and governance challenges via Zero Trust, Least Privilege, intelligent semantic routing, and AgentOps for unified lifecycle management and observability.
Speaker: Li Ming Tsai, Principal AI Architect, Red Hat
Session 2
Governing AI in Production with Harness Engineering
Date/time: 24 June, 2026
10:30 a.m. - 11:00 a.m. JST
This session covers Red Hat's operational AI platform: Models as a Service centralizes delivery, continuous security protects models, and distributed inference cuts costs. Its unified control plane applies policies centrally across any model, accelerator, or cloud.
Speaker: Andreas Spanner, Chief Architect, CTO Office, Red Hat
Session 3
Red Hat AI Factory with NVIDIA: From AI experimentation to production at scale
Date/time: 24 June, 2026
11:15 a.m. - 11:45 a.m. JST
Explore how the unified Red Hat and NVIDIA platform supports production use cases from Model as a Service to agentic AI. Day 0 support for NVIDIA Blackwell and Rubin keeps you ahead of the curve. Learn what a production-ready AI platform looks like on-prem, cloud, or edge, and how to start.
Speaker: Jeff Winn, Senior Director, Global AI Platform, Red Hat & Hemant Dhulla, Vice President, NVIDIA AI Software
Korea - KST
Red Hat AI Elevate - Virtual event
30 July, 2026 | 2:30 p.m. - 5:30 p.m. KST
실습형 버추얼 워크숍
일시: 2026년 7월 30일 (목)
시간: 오후 2:30 ~ 오후 5:30 (KST)
권장 사전 준비사항:
본 세션에서 최고의 효과를 얻으실 수 있도록 다음 내용을 미리 검토해 보시는 것을 권장합니다.
- Red Hat AI Foundations 기술 전문가 과정: [학습 경로 알아보기]
- Jupyter Notebook을 활용한 머신러닝 입문: [아티클 읽기]
Red Hat AI Enterprise 및 NVIDIA 기반의 엔터프라이즈 AgentOps
AI 프로젝트를 단순 실험 단계에서 안전하고 확장 가능한 Production환경으로 전환하는 검증된 Best Practice, 'Red Hat AI Factory with NVIDIA'를 직접 경험해 볼 수 있는 기술 실습 워크숍에 여러분을 초대합니다.
본 워크숍에서는 Red Hat AI Enterprise와 NVIDIA가 통합된 단일 플랫폼 기반 위에서 엔터프라이즈급 AI 솔루션을 구축하고 운영하는 실무 경험을 쌓을 수 있습니다.
이번 워크숍에서 다룰 핵심 내용:
- 엔터프라이즈 LLM 배포 – Red Hat과 NVIDIA의 통합 AI 환경에서 NVIDIA Nemotron LLM을 직접 설치하고 구성해 봅니다.
- 운영 환경의 AI 워크로드 모니터링 – Red Hat AI의 통합 관측(Observability) 스택을 활용하여 AI 애플리케이션 전반의 핵심 메트릭과 로그를 추적합니다.
- 멀티 에이전트 실행 추적 – 멀티 에이전트 프레임워크 및 MCP(Model Context Protocol) 툴을 통해 요청(Request)을 추적하고, 전체 의사 결정 경로를 심층적으로 이해합니다.
- 대규모 LLM 품질 평가 – 분산 추적(Distributed Tracing) 기능을 MLflow의 LLM 평가와 결합하여, 에이전트가 고품질의 결과물을 지속적으로 유지하는지 검증합니다.
- AI 배포 파이프라인 자동화 – 수동 노트북 평가 방식에서 벗어나, 플랫폼에서 구동되는 지속적이고 자동화된 AI 파이프라인 구축 단계로 전환합니다.
Keynote speech
From AI experiments to enterprise impact: Scaling trusted AI with confidence
Date/time: 24 June, 2026 | 9:00 a.m. - 9:30 a.m. KST
This session explores the clear path from isolated AI initiatives to production-ready systems. From building and securing intelligent agents to accelerating deployment via validated AI infrastructure, learn how Red Hat and partners like NVIDIA help organisations operationalise AI with confidence.
Speaker: Steve Shirkey, Director, AI Platform Leader, Red Hat
Session 1
Develop and secure agents on Red Hat AI
Date/time: 24 June, 2026
9:45 a.m. - 10:15 a.m. KST
This session covers Red Hat's "Enterprise Blueprint for Compound Agentic Systems" for secure, scalable Agentic AI. It overcomes security and governance challenges via Zero Trust, Least Privilege, intelligent semantic routing, and AgentOps for unified lifecycle management and observability.
Speaker: Li Ming Tsai, Principal AI Architect, Red Hat
Session 2
Governing AI in Production with Harness Engineering
Date/time: 24 June, 2026
10:30 a.m. - 11:00 a.m. KST
This session covers Red Hat's operational AI platform: Models as a Service centralizes delivery, continuous security protects models, and distributed inference cuts costs. Its unified control plane applies policies centrally across any model, accelerator, or cloud.
Speaker: Andreas Spanner, Chief Architect, CTO Office, Red Hat
Session 3
Red Hat AI Factory with NVIDIA: From AI experimentation to production at scale
Date/time: 24 June, 2026
11:15 a.m. - 11:45 a.m. KST
Explore how the unified Red Hat and NVIDIA platform supports production use cases from Model as a Service to agentic AI. Day 0 support for NVIDIA Blackwell and Rubin keeps you ahead of the curve. Learn what a production-ready AI platform looks like on-prem, cloud, or edge, and how to start.
Speaker: Jeff Winn, Senior Director, Global AI Platform, Red Hat & Hemant Dhulla, Vice President, NVIDIA AI Software
ANZ - AEST
Red Hat AI Elevate - Virtual event
30 July, 2026 | 10:00 a.m. - 1:00 p.m. AEST
HANDS-ON VIRTUAL WORKSHOP
Date: 30 July, 2026
Time: 10:00 a.m. - 1:00 p.m. AEST (GMT+10)
Recommended Prework: To get the most out of this session, we recommend reviewing:
- Red Hat AI Foundations Technologist Course: Explore Learning Path
- Introduction to Machine Learning with Jupyter Notebooks: Read Article
Enterprise AgentOps with Red Hat AI Enterprise and NVIDIA
Join this hands-on technical workshop to experience the Red Hat AI Factory with NVIDIA - a validated blueprint for moving AI initiatives from experimentation to secure, scalable production. You'll gain practical experience building and operating enterprise-grade AI solutions on the unified foundation of Red Hat AI Enterprise with NVIDIA.
In this workshop, you will:
- Deploy enterprise LLMs – Experience installing and configuring the NVIDIA Nemotron LLM in the integrated Red Hat and NVIDIA AI environment
- Monitor AI workloads in production – Use Red Hat AI's integrated observability stack to track key metrics and logs across your AI applications
- Trace multi-agent executions – Follow requests through multi-agent frameworks and Model Context Protocol (MCP) tools to understand complete decision-making paths
- Evaluate LLM quality at scale – Combine distributed tracing with LLM evaluations in MLflow to ensure agents maintain high-quality outputs
- Automate AI deployment pipelines – Move from manual notebook evaluations to continuous, automated AI pipelines running on the platform
Keynote speech
From AI experiments to enterprise impact: Scaling trusted AI with confidence
Date/time: 24 June, 2026 | 9:00 a.m. - 9:30 a.m. AEST
This session explores the clear path from isolated AI initiatives to production-ready systems. From building and securing intelligent agents to accelerating deployment via validated AI infrastructure, learn how Red Hat and partners like NVIDIA help organisations operationalise AI with confidence.
Speaker: Steve Shirkey, Director, AI Platform Leader, Red Hat
Session 1
Develop and secure agents on Red Hat AI
Date/time: 24 June, 2026
9:45 a.m. - 10:15 a.m. AEST
This session covers Red Hat's "Enterprise Blueprint for Compound Agentic Systems" for secure, scalable Agentic AI. It overcomes security and governance challenges via Zero Trust, Least Privilege, intelligent semantic routing, and AgentOps for unified lifecycle management and observability.
Speaker: Li Ming Tsai, Principal AI Architect, Red Hat
Session 2
Governing AI in Production with Harness Engineering
Date/time: 24 June, 2026
10:30 a.m. - 11:00 a.m. AEST
This session covers Red Hat's operational AI platform: Models as a Service centralizes delivery, continuous security protects models, and distributed inference cuts costs. Its unified control plane applies policies centrally across any model, accelerator, or cloud.
Speaker: Andreas Spanner, Chief Architect, CTO Office, Red Hat
Session 3
Red Hat AI Factory with NVIDIA: From AI experimentation to production at scale
Date/time: 24 June, 2026
11:15 a.m. - 11:45 a.m. AEST
Explore how the unified Red Hat and NVIDIA platform supports production use cases from Model as a Service to agentic AI. Day 0 support for NVIDIA Blackwell and Rubin keeps you ahead of the curve. Learn what a production-ready AI platform looks like on-prem, cloud, or edge, and how to start.
Speaker: Jeff Winn, Senior Director, Global AI Platform, Red Hat & Hemant Dhulla, Vice President, NVIDIA AI Software
Speakers
Build enterprise‑ready AI that delivers real impact
Our interactive workshops will teach you how to:
- Use generative AI strategically across the enterprise
- Deliver fast, cost‑effective inference at scale
- Reduce costs significantly with Red Hat AI across hybrid cloud
- And more...
Talk to a Red Hatter
Sign up to learn how Red Hat AI Elevate workshop will suit your team's roles and experience levels.
