Milwaukee, WI - Downtown Milwaukee

250 E Wisconsin Ave 18th floor, Milwaukee, United States, 53202

This Regus centre is located on the 18th floor of Two‑Fifty in downtown Milwaukee, with excellent car access via I‑43 or I‑794 and secure paid underground parking within the building. From General Mitchell International Airport (MKE), take I‑94 West to I‑794, then exit onto East Wisconsin Avenue; the taxi or rideshare ride typically takes 15–20 minutes. Public transit users can use MCTS bus routes along Wisconsin Avenue or nearby stops such as Cathedral Square—followed by a short walk into the building’s lobby.

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Advanced GitHub Copilot & AI for Projects and Infrastructure

14 Hours

Artificial Intelligence (AI) for Developers

40 Hours

GitHub Copilot for DevOps Automation and Productivity

14 Hours

Developing AI Applications with Huawei Ascend and CANN

21 Hours

AI-Augmented Software Engineering (AIASE)

14 Hours

GitHub Copilot in Team Environments: Collaboration Best Practices

14 Hours

GitHub Copilot for Debugging and Code Review

14 Hours

Prompt Engineering for Software Development

7 Hours

GitHub Copilot for Front-End Development

14 Hours

Responsible AI in Software Development

7 Hours

AI for Software Requirements and User Story Generation

7 Hours

GitHub Copilot for Python Developers

14 Hours

Advanced GitHub Copilot

14 Hours

Generative AI for Front-End Development

14 Hours

Tabnine: Code Smarter with AI

21 Hours

AI-Augmented Test Generation and Quality Engineering

14 Hours

DeepSeek Coder for AI-Powered Programming

14 Hours

Intermediate GitHub Copilot

14 Hours

Tabnine for Advanced Developers

14 Hours

AI Coding Assistants: Enhancing Developer Productivity

14 Hours

Introduction to GitHub Copilot

7 Hours

LLMs for Code Understanding, Refactoring, and Documentation

14 Hours

Tabnine for Python Developers

14 Hours

Introduction to AI Coding Assistants

14 Hours

AI-Driven Software Development Lifecycle (SDLC)

14 Hours

GitHub Copilot for Developers

14 Hours

Tabnine for Beginners

14 Hours

Mastering the SDLC with Artificial Intelligence

7 Hours

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