NE, Omaha - Regus - Landmark Center

1299 Farnam Street Suite 300, Omaha, United States, 68102

The Landmark Center is centrally located in downtown Omaha and easily accessible by car via Interstates 29 and 80, with secure underground and surface parking available around the building. Visitors arriving from Eppley Airfield (OMA) will typically reach the venue in 15–20 minutes by taxi or rideshare via I‑480 into the city. Public transportation is convenient, with DPT bus routes stopping at 13th & Farnam and 12th & Harney—both just a block away—while the surrounding area is walkable and bike-friendly.

Omaha, NE – Regus - Linden Place

14301 First National Bank Parkway, Suite 100, Omaha, United States, 68154

The venue is located next to the First National Bank Park & Ride bus stop in the same building as Midwest Retirement Advisors and Principal Financial Group.
NobleProg Training Place, City Lincoln, NE - Regus – U.S. Bank Building

Lincoln, NE - Regus – U.S. Bank Building

233 S 13th St Downtown, Suite 1100, Lincoln, United States, 68508

Located downtown, Regus in the U.S. Bank Building is easily accessible by car via Interstates 80 or 180, with secure on-site and nearby garage parking. Visitors arriving at Lincoln Municipal Airport can reach the venue in about 10 minutes by taxi or rideshare via N. 27th Street and Highway 2. Public transit is convenient: StarTran bus routes serve downtown, with stops just a block away, and the area supports walking and cycling.

Explore Our Courses

MLflow

 21 Hours

This instructor-led, live training in (online or onsite) is aimed at data scientists who wish to go beyond building ML models and optimize the ML model creation, tracking, and deployment process.

By the end of this training, participants will be able to:

  • Install and configure MLflow and related ML libraries and frameworks.
  • Appreciate the importance of trackability, reproducability and deployability of an ML model
  • Deploy ML models to different public clouds, platforms, or on-premise servers.
  • Scale the ML deployment process to accommodate multiple users collaborating on a project.
  • Set up a central registry to experiment with, reproduce, and deploy ML models.
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Testimonials (1)

the ML ecosystem not only MLFlow but Optuna, hyperops, docker , docker-compose

Guillaume GAUTIER - OLEA MEDICAL

Course - MLflow

Upcoming Courses

MLflow

2025-09-29 9:30 am
21 hours
Omaha, NE – Regus - Linden Place
$ 4054 (Online)
$ 5554 (Classroom)

MLflow

2025-10-13 9:30 am
21 hours
Omaha, NE – Regus - Linden Place
$ 4054 (Online)
$ 5554 (Classroom)

MLflow

2025-10-27 9:30 am
21 hours
Omaha, NE – Regus - Linden Place
$ 4054 (Online)
$ 5554 (Classroom)

MLflow

2025-11-10 9:30 am
21 hours
Omaha, NE – Regus - Linden Place
$ 4054 (Online)
$ 5554 (Classroom)

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