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Dallas, TX - Regus - Downtown Republic Center

325 N. St. Paul Street, Dallas, United States, 75201

The venue is conveniently located in downtown Dallas and easily accessible by car via I‑35E, US‑75, and I‑30, with several parking garages and surface lots nearby. Public transit access is excellent, just steps from St. Paul Station on the DART Blue and Red lines and connected to the downtown tunnel network. For those arriving by air, Dallas Love Field is approximately 7 miles away, while DFW International Airport is about 20 miles from the venue. Valet service is available at the building, along with multiple nearby parking options.
NobleProg Training Place, City Dallas, TX - Uptown

Dallas, TX - Uptown

3232 McKinney Ave, Dallas, United States, 75204

The venue is located at 3232 McKinney Avenue in the heart of Uptown Dallas, a walkable and transit-oriented district just north of Downtown. It’s easily accessible by car via US‑75 (Central Expressway), Spur 366 (Woodall Rodgers), or I‑345 with adjacent parking garages and street parking. From Dallas/Fort Worth International Airport (DFW), taxis or rideshares take about 25–30 minutes via TX‑121 South and US‑75 South. From Dallas Love Field (DAL), it's a quick 15‑minute ride via Harry Hines Blvd and Herb Kelleher Way. Public transit options include the McKinney Ave Trolley stop directly outside and DART Light Rail nearby—making it convenient even without a vehicle.

Explore Our Courses

EXO: End-to-End Local AI Cluster Deployment

 21 Hours
This instructor-led program, delivered either remotely or on-site at designated locations, provides system administrators and DevOps engineers with the operational guidance necessary to deploy, configure, and maintain EXO clusters. The curriculum focuses on enabling private large language model (LLM) inference capabilities across distributed environments comprising multiple Apple Silicon or Linux nodes. Designed for government entities and public sector organizations requiring secure, on-premises AI infrastructure solutions, this training ensures personnel possess the technical proficiency needed to manage these systems effectively within regulated compliance frameworks tailored for government applications.
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EXO for DevOps: Building Private AI Infrastructure

 21 Hours
This instructor-led, live training session, available online or onsite, is designed for DevOps engineers and infrastructure architects seeking to automate the deployment, oversight, and lifecycle administration of private AI clusters utilizing EXO. This program provides essential knowledge and practical skills for government personnel tasked with managing advanced computing resources effectively.
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EXO Security and Governance: Offline Model Management

 14 Hours
This faculty-led, hands-on instructional session, offered via online or physical venues in Dallas, targets security engineers and compliance personnel seeking to fortify Exchange Online (EXO) infrastructure, regulate model access, and manage artificial intelligence operations within a fully on-premises environment. This comprehensive curriculum is designed specifically for government agencies requiring strict control over data sovereignty and operational security for government systems.
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Secure Local Agentic AI: On-Prem Ollama Development for Regulated Industries

 21 Hours
This instructor-led instructional program, delivered in Dallas (remote or on-site), is designed to equip software engineers and technical personnel with the skills necessary to develop and deploy private agentic AI solutions utilizing Ollama and open-source models within internal infrastructure. Upon completion of this training, participants will demonstrate proficiency in installing and configuring Ollama, executing open-source models locally, designing basic retrieval-augmented and agentic workflows, and implementing requisite security and governance protocols suitable for regulated environments for government
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Ollama: Self-Hosted Large Language Models Replacing OpenAI and Claude APIs

 14 Hours
Ollama provides an open-source solution for executing large language models on both consumer-grade and enterprise infrastructure. By consolidating model quantization, graphics processing unit resource allocation, and API service delivery into a unified command-line interface, this platform enables federal agencies to deploy proprietary models—such as Llama, Mistral, and Qwen—independently. This capability supports secure data handling protocols by allowing organizations to operate these technologies for government use without transmitting sensitive information or query prompts to external commercial providers like OpenAI, Anthropic, or Google.
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Sovereign AI for Regulated Organizations: Controlling Data, Models and Inference Environments

 7 Hours
This instructor-led program, available via remote or on-premises delivery at Dallas, is designed for intermediate-level information technology executives, compliance officers, security specialists, and enterprise architects seeking to implement sovereign artificial intelligence frameworks. The curriculum focuses on governance best practices that safeguard sensitive information, adhere to data localization mandates, and mitigate vendor dependency. Upon completion, participants will be equipped to articulate core principles of sovereign AI for government and non-government entities, assess hosting and regulatory alignment options, establish controls for prompt management and logging, and develop actionable adoption strategies.
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Upcoming Courses

EXO for DevOps: Building Private AI Infrastructure

2026-08-21 09:30
21 hours
Dallas, TX - Uptown
$ 4054 (Online)
$ 5854 (Classroom)

Sovereign AI for Regulated Organizations: Controlling Data, Models and Inference Environments

2026-09-04 09:30
7 hours
Dallas, TX - Regus - Downtown Republic Center
$ 1630 (Online)
$ 2230 (Classroom)

EXO: End-to-End Local AI Cluster Deployment

2026-09-18 09:30
21 hours
Dallas, TX - Uptown
$ 4054 (Online)
$ 5854 (Classroom)

EXO for DevOps: Building Private AI Infrastructure

2026-10-02 09:30
21 hours
Dallas, TX - Regus - Downtown Republic Center
$ 4054 (Online)
$ 5854 (Classroom)

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