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Boston, MA – Regus at Federal Street

101 Federal St, Suite 1900, Boston, United States, 02110

The venue is located in the heart of Boston’s Financial District on Federal Street, easily accessible by car via I‑90, I‑93, and I‑95 with numerous nearby parking garages. From Logan International Airport (BOS), a taxi or rideshare takes approximately 20–25 minutes via I‑93 North. Public transit is seamless: the 15th Street and South Station – Financial District stops on MBTA's Red, Orange, and Silver lines are within a few minutes’ walk, and multiple bus routes traverse Federal and Congress Streets.

Burlington, MA – Regus at The District

1500 District Avenue, Burlington, United States, 01803

The venue is located within The District business campus at 1500 District Avenue, easily accessed by car via I‑89 or US‑3 with free on-site parking and additional municipal lots. From Boston’s Logan International Airport (BOS), approximately 15 miles southeast, a taxi or rideshare takes 25–30 minutes via I‑93 North and I‑95 North. Public transit is served by MBTA commuter rail to South Burlington, with the Campus Parkway #2 bus running directly past the entrance—placing the venue within a short walk for attendees without cars.

Cambridge, MA – Regus at Harvard Square

One Mifflin Place, Suite 400, Cambridge, United States, 02138

The venue is ideally situated in the heart of Harvard Square at One Mifflin Place, easily accessed by car via Route 2, MA‑2A, or Memorial Drive, with pay-to-park garages and metered street spaces nearby. From Boston Logan International Airport (BOS), taxis or rideshares take approximately 25–30 minutes via I‑90 West and Cambridge Street. Alternatively, public transit offers seamless connections: take the MBTA Red Line to Harvard station, and the entrance is a 3-minute walk from the square, providing effortless access for attendees without cars.

Worcester, MA – Regus at Campus Square

370 Main Street, Worcester, United States, 01608

The venue is located in the LEED Gold–certified Campus Square building at 370 Main Street in the heart of Worcester, easily reachable by car via I‑290 or I‑90, with abundant on-site parking and municipal garages nearby. From Worcester Regional Airport (ORH), about 5 miles west, a taxi or rideshare takes 10–15 minutes via Airport Drive and Main Street. Public transit is seamless: multiple WRTA bus routes stop just outside the building, and Worcester Amtrak/MBTA train station is an easy 12-minute walk, allowing easy access without a car.

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 Massachusetts, 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 Massachusetts (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 Massachusetts, 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
Burlington, MA – Regus at The District
$ 4054 (Online)
$ 5854 (Classroom)

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

2026-09-04 09:30
7 hours
Burlington, MA – Regus at The District
$ 1630 (Online)
$ 2230 (Classroom)

EXO: End-to-End Local AI Cluster Deployment

2026-09-18 09:30
21 hours
Burlington, MA – Regus at The District
$ 4054 (Online)
$ 5854 (Classroom)

EXO for DevOps: Building Private AI Infrastructure

2026-10-02 09:30
21 hours
Burlington, MA – Regus at The District
$ 4054 (Online)
$ 5854 (Classroom)

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