Program Policies

The goal of the National IT Innovation Center’s (NITIC) Working Connections professional development is to equip IT faculty at two-year institutions of higher education with the expertise needed to teach their track content in a subsequent semester. This ensures that the most current information reaches their classrooms, either as a stand-alone course or as supplemental material to an existing course. 

Cost:  

• Tuition is FREE; there is no fee to attend. 
• A travel stipend will be provided for in-person workshops. See Travel Information for details.

Eligibility:  

• Working Connections is for faculty and administrators currently teaching IT credit courses (full-time or adjunct) at a regionally accredited U.S. two-year community college or technical college.   
• To ensure equitable access to new learning opportunities, participants may not enroll in the same track more than once. Tracks that repeat previously offered content will be clearly noted, and individuals who have already completed the course are not eligible to retake it. 
• Attendees are expected to use what they learn in their track to teach or supervise a class in the next 12 months. 
• High school teachers may only attend if they also teach as a community college adjunct. 
• Seats will be limited to 2 per institution. Additional faculty will be placed on a waitlist and will receive a seat if space becomes available after registration closes. 

Registration:  

• Completing the registration form requests your seat. Your seat is not confirmed until you receive a registration confirmation email from NITIC.  
• Participants may only attend ONE in-person session for Summer 2026 Working Connections. 
• Each individual may only submit one application for registration. Only the first submission will be considered, and any subsequent registrations will be disregarded without further notice.  
• IT Innovation Network (ITIN) member institutions will have a priority window to register and will be notified of the dates via the NITIC mailing list.  

Attendance Requirements: 

• This is an in-person workshop.
• Instructors have been instructed to track attendance and participation. Participants are expected to attend and actively engage in all scheduled sessions. Attendance means contributing to discussions, completing in-class activities, and being present for live instructions – not just logging in. 
• Missing more than 25% of the total class time will disqualify you from earning the Credly badge. Participants must attend at least 75% of the total instructional time to adhere to the standards of the program. 
• If you anticipate any absence, notify your instructor and NITIC in advance. If your absence is unexpected, please notify your instructor and NITIC as soon as you are able.  
• Instructors are not required to provide make-up work or spend time outside of scheduled sessions helping participants catch up if time is missed. Any make-up work is at the instructor’s discretion, and completion of the work does not override the 25% limit. 

Cancellation/Track Changes: 

• If you must cancel your registration or request a track change, please notify Mark Dempsey at mdempsey@collin.edu immediately before the deadline. 
• To be good stewards of our NSF ATE grant funding, we must fill all available seats. Attendees who register but then fail to show up without providing advance notice may be ineligible for future Working Connections workshops. Please inform us right away if you’re not able to attend. 

Tracks:  

• Tracks run for the entire duration of Working Connections session; attendees may only select one track.  
• Some tracks have specific pre-requisites or requirements. Be sure to read the track details before requesting to register.  
• Tracks may be repeated throughout the year. See the track details to ensure you’re not registering for a track you’ve already completed.  
• Seating capacity varies by lab, track, and instructor, but typically capped at 20 attendees. 
• Tracks are held in a computer lab. Laptops are not required, but participants often bring them to utilize during breaks and in the evening.

Meals: 

• Lunch and all-day coffee service will be provided for in-person workshops.
• Vegetarian entrees are available for those who request on the registration form; otherwise no special diet or food substitutions are possible.

Completion Credential:  

• NITIC has teamed up with Credly to provide digital badges to showcase verified Working Connection credentials.  
• Only those who attend 75% or more of the course AND pass the required track assessment with a grade of 80% or better will receive their badge.  
• Badges will be issued within 30 days of completion and can be showcased on LinkedIn, email signatures, or printed as a certificate. Hard copies can be printed from Credly’s website and will reflect CEUs earned. 

Survey:  

• All attendees will complete a survey before the end of the event. 
• Longitudinal surveys will continue to be sent after the event to measure lasting impact.  

 

Advanced Data Analytics using Python, External APIs & AI (INTERMEDIATE)

June 1-4 from 8:30am-5pm ET 

 

Description

This track is a five-day, hands-on series for community college instructors who want to integrate modern Python, API-driven data, and AI tools into their existing courses. Participants will work through instructor-provided labs in Google Colab, Excel (via Python add-ins), Streamlit, and Power BI that they can take back and reuse or lightly adapt in their own classes. The emphasis is on practical, low-friction activities that expose students to real-world data, basic AI capabilities, and interactive analytics, while minimizing prep time and infrastructure needs for both faculty and students.

NOTE:  This track closely mirrors the content covered in the Summer III 2025 Working Connections offering, “Advanced Data Analytics – Machine Learning with Python, Power BI & Excel.” Participants who completed that 2025 track are encouraged to select a different option, as the material will be largely overlapping.

Certification Prep

While not tied to a single certification, this track can support preparation for: 

• Entry-level data analytics and BI certifications that expect basic Python, API, and dashboarding familiarity (e.g., vendor-neutral data analytics microcredentials) 
• Microsoft Power BI–related skills validation where Python visuals and scripting are considered a plus 
• Institutional or system-level “AI literacy” or “data literacy” badges that emphasize applied tools in common teaching environments 

Objectives

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

• Design Colab-based labs that use Python and external APIs (e.g., finance and crypto data) to support course outcomes in computing and data-related classes. 
• Implement Python-powered activities in Excel, Streamlit, and Power BI that introduce students to AI-assisted analysis and visualization. 
• Adapt provided lab templates and code samples to align with their own course learning objectives, student populations, and institutional constraints. 
• Evaluate which tools (Colab, Excel + Python, Streamlit, Power BI) are most appropriate for different course levels and assignments, then integrate them into syllabi and weekly teaching plans. 

Pre-requisites

Attendees should: 

• Have basic familiarity with Python (variables, functions, simple data structures) or equivalent experience in another programming language. 
• Be comfortable using spreadsheets (Excel or similar) and basic file management in a web browser. 
• Have experience teaching (or planning to teach) courses in CIS, CS, data analytics, business analytics, or related fields. 
• No prior experience with Streamlit, external APIs, or Power BI is required. 

Required Textbook

No required textbook. All materials (notebooks, slides, lab sheets, and example code) will be provided electronically. 

Suggested/optional Textbook  

• An introductory Python for data analysis book or OER resource 
• Online vendor documentation for Power BI, Streamlit, and Python-in-Excel tools.   
• These are recommended for deeper follow-up but not needed to complete the track. 

Class Location 

Columbus State – Downtown Campus, Workforce Development Building, Room TBD

Please note that content is subject to change or modification based on the unique needs of the track participants in attendance.  

Agenda

June 1: Google Colab & External APIs: 

• Class Introductions and goal setting for integrating these tools into community college courses 
• Introduction to Google Colab and Python refresher 
• Using yfinance and cryptocurrency/market APIs (e.g., Coingecko) in Colab 
• Exploring datasets from Kaggle in Colab and framing them as student labs 

June 2: Python in Excel (Boardflare or similar): 

• Installing and configuring a Python-in-Excel add-in 
• “Hello World” in Excel with Python functions 
• Using functions such as WORDCLOUD, EXCHANGE_RATE, and VADER_SENTIMENT to create spreadsheet-based labs 
• Explore how to obtain a free Mistral AI API key and call its LLM from Python in Excel to power AI-assisted spreadsheet activities. 
• Exploring AI helper functions (e.g., AI_CHOICE, AI_ASK, AI_LIST, AI_TABLE) 
• Open exploration and adaptation time for participants to prototype their own Excel labs 

June 3: Streamlit: 

• Introduction to the Streamlit framework and the framework’s app-building mindset 
• “Hello World” Streamlit app from a Colab/Notebook workflow 
• Deploying Streamlit apps to a hosted environment (e.g., Community Cloud) 
• Creating a simple multipage app suitable for a student project 
• Building chatbot-style apps: Echo bot, Chat bot, and AI-augmented chat bot. 
• Discussing instructional uses: demos, guided labs, and capstone mini-projects 
• Work time to customize chatbot labs for participants’ own classes 

June 4: Power BI & Python: 

• Power BI quick start: importing data and building basic reports 
• Importing data using Python scripts within Power BI 
• Transforming data using Python in Power Query or Python visuals 
• Visualizing data with Python libraries (e.g., Seaborn) inside Power BI 
• Designing a complete Power BI + Python lab that students can perform in one or two class sessions 

Instructor

Chris Santo is residential faculty in the Mathematics, Computer Science, and Engineering Division at Scottsdale Community College, part of the Maricopa Community College District, where he teaches courses in Java, Python and C programming, data structures, data analytics, Tableau, Power BI, and Python for data analytics. He has taught mathematics, computer science, and computer information systems courses across multiple Maricopa colleges, including Glendale, Paradise Valley, Scottsdale, Rio Salado, and Mesa Community College, since 2008. 

Chris has more than 30 years of experience in the information technology sector, spanning roles in computer lab management, technical support, systems administration, application development, database programming, systems integration, project management, IT management, and reliability-focused consulting. His work bridges industry and academia, using data analytics and advanced IT solutions to improve enterprise operations while mentoring the next generation of technologists. 

He also teaches in the Master of Information Studies program at Trine University and is a Certified Reliability Leader (CRL). Chris holds an MS in Computer Science (Cybersecurity and Big Data, with distinction) and an MBA from Arizona State University, an MS in Information Sciences and Telecommunications from the University of Pittsburgh, and a BS in Mathematics and Computer Science from PennWest California. 

AI + Cyber: AI-Powered Cybersecurity (INTERMEDIATE)

June 1-4 from 8:30am-5pm ET 

 

Description

This professional development course is designed to provide faculty with practical AI tools to use in cybersecurity to enhance resources, and strategies that they can implement at their home institutions within the next 12 months to enhance student learning and keep cybersecurity and technology programs aligned with rapidly evolving cyber threats, and workforce demands. Participants will explore emerging AI tools for use in combination with cybersecurity technologies, industry practices, and instructional tools that support modern, cyber-focused education, while engaging in hands-on demonstrations and collaborative activities that translate these innovations into actionable classroom applications. The course emphasizes immediate classroom impact by helping faculty develop adaptable lessons, cyber lab activities, and resource plans that can be integrated directly into existing curricula, ensuring students remain current with emerging cybersecurity technologies, relevant technical skills, and real-world cyber workforce expectations leveraging AI.

Objectives

• Analyze emerging AI technologies used in the cybersecurity industry to determine their relevance and potential application within existing cybersecurity, information technology, or related academic programs and courses.
• Evaluate a variety of cybersecurity instructional tools, digital platforms, labs, and teaching resources to determine which can effectively support the addition of AI curriculum for student learning and workforce-aligned cyber skill development.
• Design classroom activities, lesson plans, or project-based learning experiences that integrate modern AI technologies to use with cybersecurity technologies, tools, and industry practices into current curriculum. 
• Implement a practical action plan for introducing AI with cybersecurity tools, resources, labs, or instructional strategies in their home institution within the next 12 months to ensure immediate classroom impact and improved student readiness for evolving cyber threats, technologies, and workforce demands. 

Pre-requisites

Participants should…  

• Be active faculty members or instructors teaching in cybersecurity, information technology, computer science, or related technology programs and have the ability to update or modify course content within the next 12 months.  
• Bring an existing course, lab, or instructional area where cybersecurity concepts, tools, or emerging technologies can be integrated following the course.  
• Possess basic digital literacy and familiarity with common instructional technologies such as learning management systems, productivity tools, and online collaboration platforms.  
• Have a foundational understanding of cybersecurity concepts such as networking fundamentals, system security, risk management, or security operations to support effective integration of modern cybersecurity tools, practices, and workforce aligned skills into classroom activities.  
• Demonstrate a willingness to adopt new technologies and translate course resources into practical cybersecurity learning experiences to achieve the goal of immediate classroom impact and to help keep students current with rapidly evolving cyber threats, technologies, and industry practices. 

Required Textbook

None. 

Suggested/optional Textbook

None.

Class Location 

Columbus State – Downtown Campus, Workforce Development Building, Room TBD

Please note that content is subject to change or modification based on the unique needs of the track participants in attendance. 

Agenda

June 1: Foundations of Artificial Intelligence in Cybersecurity Education 

• Fundamentals of artificial intelligence and its growing role in cybersecurity and technology education. 
• Core AI concepts such as machine learning, agentic AI, prompt engineering, and ethical considerations when using AI in academic environments. 
• How AI can assist with cybersecurity instruction, including generating lab scenarios, explaining complex technical concepts, and supporting student learning. 
• Hands-on exercises using AI assistants to generate cybersecurity exercises, research threat intelligence, and create classroom activities that can be implemented in their courses. 
• Academic integrity, responsible AI use, and strategies for integrating AI into cybersecurity curricula. 

June 2: AI-Powered Research and Knowledge Management 

• AI research and knowledge management tools that support cybersecurity teaching and student projects. Explore Perplexity AI as an AI-driven research assistant for identifying cybersecurity threats, generating intelligence reports, and locating reliable sources. 
• Build threat intelligence briefings and vulnerability research reports using AI-assisted search. 
• Explore NotebookLM as a tool for analyzing cybersecurity frameworks and course materials.  
• Upload documents such as the MITRE ATT&CK framework, NIST standards, or course readings and use AI to generate summaries, study guides, and teaching materials. 
• Develop strategies for using AI to support cybersecurity research assignments and student analysis. 

June 3: AI-Assisted Cybersecurity Labs with Kali Linux and PentestGPT 

• AI-assisted cybersecurity lab environments.  
• How artificial intelligence can support penetration testing education using Kali Linux and PentestGPT. 
• How AI can assist with interpreting vulnerability scan results, guiding penetration testing methodologies, and explaining attack techniques.  
• Hands-on labs will demonstrate how students can use AI tools to analyze Nmap results, understand Metasploit modules, and identify potential vulnerabilities in simulated environments.  
• PentestGPT as an AI assistant that guides the penetration testing process, helping students understand reconnaissance, exploitation, and post-exploitation techniques.  
• Discuss responsible use of offensive security tools in academic settings and develop lab exercises that can be implemented in cybersecurity courses. 

June 4: Advanced AI Applications with Claude AI 

• Claude AI and its applications in cybersecurity education, research, and technical analysis. 
• How Claude can be used for analyzing cybersecurity documentation, reviewing code for potential vulnerabilities, generating incident response reports, and supporting secure coding practices.  
• Hands-on exercises will demonstrate how Claude can analyze scripts, identify potential security weaknesses, and assist students with debugging cybersecurity tools.  
• How Claude can support threat intelligence analysis, risk assessment exercises, and cybersecurity writing assignments.  
• Develop an implementation plan that outlines how the AI tools and cybersecurity activities introduced during the course will be integrated into their own courses within the next 12 months to ensure immediate classroom impact. 

Instructor

Dr. Conrad Dela Cruz 

My professional experience includes over a decade in information technology that started in the U.S. Navy. I have held many positions in IT that includes system administration to information security manager, but teaching is my passion! 

I’ve been teaching for over 8 years both as an adjunct for multiple universities and as a residential faculty at the Maricopa Community Colleges. I’m also currently in the cybersecurity field, currently helping build a cybersecurity program for a local agency in Arizona.  

I hold a Bachelor of Arts in Management from the Ashford University. My masters was in organizational leadership and management. And I have a Doctorate in Education specializing in Organizational Leadership from Nova Southeastern University. 

Intro to DevOps: Shipwrecks, Pirates, and Pipelines (INTERMEDIATE)

June 1-4 from 8:30am-5pm ET 

 

Description

This course covers container orchestration from first principles across four days — Docker, Kubernetes, Helm, and GitHub Actions — on Linux workstations in an environment-agnostic way that translates to nearly any Kubernetes platform you’ll encounter in the wild. The labs are practical, the concepts are transferable, and yes, there is a shipwreck on day one. It will make sense. The course is loosely structured around the CNCF illustrated story Admiral Bash’s Island Adventure with Phippy and Friends, available free from the CNCF.

Objectives

• Demonstrate the ability to containerize applications using Docker, including building images and managing containers in a Linux environment. 
• Deploy and manage containerized workloads on a Kubernetes cluster, applying core concepts such as Pods, Deployments, and Services.
• Construct Helm charts to package and deploy applications with reusable, parameterized configurations.
• Design and implement a CI/CD pipeline using GitHub Actions to automate build, test, and deployment workflows.

Pre-requisites

Participants should be comfortable working in a command line (navigating directories, running commands, reading output and error messages), have basic Git experience (clone, commit, push), and understand foundational computing concepts such as processes, file systems, and network ports. No prior container or cloud experience is required.

Required Textbook

None. Available online:

• https://www.cncf.io/wp-content/uploads/2021/10/Admiral-Bash.pdf 
• https://www.cncf.io/phippy/the-childrens-illustrated-guide-to-kubernetes/ 

Suggested/optional Textbook

None.

Class Location 

Columbus State – Downtown Campus, Workforce Development Building, Room TBD

Please note that content is subject to change or modification based on the unique needs of the track participants in attendance. 

Agenda

June 1: BUILD — The mainframe is sinking. What do we save? Introduction to the course narrative and toolchain. 

• Morning: containerization fundamentals with Docker — images, containers, and registries. 
• Afternoon: first deployments on Kubernetes; pods, deployments, and services. 
• Lab: get something running. By the end of the day, the island has power. 

June 2: PROTECT — Something worth protecting now.  

• Morning: Helm charts, values, and templating — stop rebuilding the wheel.  
• Afternoon: configuration management with Kustomize; environment-specific overlays and reusable deployment patterns.  
• Lab: package and deploy an application with Helm across multiple configurations. The colony has walls. 

June 3: GROW — We’re not a settlement anymore.  

• Morning: GitHub Actions fundamentals — workflows, triggers, jobs, and secrets.  
• Afternoon: building a full CI pipeline that builds a container image and pushes it to a registry. 
• Lab: automate what you built on days one and two. The colony ships code. 

June 4: DEFEND — The pirates are coming. Does your platform hold? 

• Morning: extending the pipeline — deploy to Kubernetes with Helm via GitHub Actions, end-to-end. 
• Afternoon: final lab challenge; build, protect, and ship a complete working pipeline from scratch. Assessment, debrief, and discussion of how to bring this framework back to your own classroom. The island stands. 

Instructor

Eric Wagner is a Solutions Architect at OhioHealth, a large Ohio-based health system, where his primary focus spans infrastructure architecture and data security. He also teaches Networking and DevOps courses at Columbus State Community College, bringing enterprise cloud and Kubernetes experience directly into the classroom. He holds deep expertise in Docker, Kubernetes, Helm, and CI/CD pipeline design using GitHub Actions. 

Schedule

Monday, June 1

Time	Activity	Location
8:00am - 8:30am ET	Continental Breakfast & Check-in	WD 4th Floor
8:30am - 8:50am ET	Welcome	WD 4th Floor
9:00am-12noon ET (10:30am ET break)	Class	WD 3rd Floor
12noon-1:00pm ET	Networking Lunch	WD 4th Floor
1:00pm-5:00pm ET (3:00pm ET break)	Class	WD 3rd Floor
5:15pm-6:30pm ET	Optional Social	TBD

Tuesday, June 2

Time	Activity	Location
8:00am - 8:30am ET	Continental Breakfast	WD 4th Floor
8:30am-12noon ET (10:30am ET break)	Class	WD 3rd Floor
12noon-1:00pm ET	Networking Lunch	WD 4th Floor
1:00pm-5:00pm ET (3:00pm ET break)	Class	WD 3rd Floor

Wednesday, June 3

Time	Activity	Location
8:00am - 8:30am ET	Continental Breakfast	WD 4th Floor
8:30am-12noon ET (10:30am ET break)	Class	WD 3rd Floor
12noon-1:00pm ET	Networking Lunch	WD 4th Floor
1:00pm-5:00pm ET (3:00pm ET break)	Class	WD 3rd Floor

Thursday, June 4

Time	Activity	Location
8:00am - 8:30am ET	Continental Breakfast	WD 4th Floor
8:30am-12noon ET (10:30am ET break)	Class	WD 3rd Floor
12noon-1:00pm ET	Networking Lunch	Degrees Restaurant
1:00pm-3:30pm ET	Class/Final Assessment	WD 3rd Floor
3:30pm-5:00pm ET	Optional: Extra Time for Assessment	WD 3rd Floor

Friday, June 5

Time	Activity	Location
	NO ACTIVITIES

Resources

Travel Information

Stipend Policy – 2026

NOTICE: We have updated the policies. Read carefully before you begin booking. Do NOT book your travel arrangements until your Working Connections seat is confirmed, and you’ve completed the Travel Stipend Policy Agreement.  

Eligibility 

• You must attend all days of Working Connections to request a stipend. 
• These stipends are intended to reduce barriers to participation. Participants may not receive a stipend if they have another funding source for training travel. 
• Participants who live less than 60 miles from the workshop location are not eligible for the stipend unless they receive prior approval. Contact us about campus parking. 
• Employees of the host college are not eligible to receive a stipend for attending Working Connections.  
• The stipend will be issued to you personally. Payment cannot be made to an institution. 
• We are unable to arrange travel for you and cannot work with your institution to arrange your travel. 
• The payment is considered income; you will receive a 1099.  

Forms 

• Travel Stipend Agreement: After your seat is confirmed, we will send you a form to acknowledge this policy. For situations not addressed in the details below, you much contact us at nitic@cscc.edu for prior written approval. 
• Supplier Form: A CSCC supplier form must be completed prior to attending. Once your registration is confirmed, a link for this form will be emailed to you. If you attended a previous in-person Working Connections, and your contact information has not changed, you will not need to fill this out again. 
• Travel Stipend Claim Form 
  • This will be emailed to attendees on the last day of Working Connections. Take note of the completion deadline provided in the email. The window for completing this form will run for approximately one week. No stipends can be issued after the deadline. 
  • The stipend will be issued as a check mailed to the address on the supplier form AFTER travel. Please allow 30 days for processing. 
  • You will use the following to calculate your stipend amount (see details below):  
    • AirFare Total or Mileage (Receipt or Google Map) __
    • Hotel Total Cost (Receipt) __
    • Incidentals (No receipts) $750
      • Total = __

Travel Guidelines: 

Airfare:

• Book the flight for yourself directly. You will need to provide a copy of your receipt when you submit your travel stipend form. 
• We cannot reimburse unused tickets. Travelers are encouraged to book refundable fares or fares that provide airline flight credit. 
• If you check a bag, provide receipt and include it in your airfare total cost. 
• Conserve funds where possible: 
  • Book early; at least 4-6 weeks in advance 
  • No first class/business class seats 
  • No pre-paid seat (unless needed for an accommodation), priority boarding, or in-flight entertainment costs. If you wish to cover these yourself, please deduct from the amount you submit. 
  • You may select the time and stops that work best for you; no need to get the cheapest possible on that day. 
  • If the anticipated airfare exceeds $600, please contact NITIC before booking. 

Mileage: 

• Mileage reimbursement is available at the current GSA rate of 72.5 cents per mile when driving to the training is the most cost-effective option. 
• Driving is considered cost-effective when the total mileage cost does not exceed the cost of a comparable round-trip airline ticket for the same travel.  
• Travel exceeding 700 miles round-trip will generally require prior approval, and a cap may be applied.  
• Mileage must be calculated using Google maps, and is based on the round-trip distance from your home address (as listed on your CSCC supplier form) to the workshop location.   
• If you are making the daily commute to the workshop from over 60 miles away, you may be reimbursed for daily mileage. 

Hotel: 

• Book your hotel directly. You may find your own or use one where we have a courtesy block. You will need to provide your hotel receipt when you submit your travel form. 
• NITIC will only reimburse for the workshop timeframe. If travel on the same day is not possible due to the start/end times, you may travel the day before or after. Additional nights will be at your own expense. 
• The max nightly rate must not be more than our highest courtesy block rate. If you choose to stay somewhere more expensive, you must cover the difference. 
• Hotel Parking Costs (if applicable): Include the cost of hotel parking with your hotel receipt, or attach an additional receipt if separate. Travelers should use self-parking whenever available.  
• Additional room charges such as room service or on-site restaurant charges must be deducted from the hotel total cost when submitting. Meals are part of your incidentals.  

Incidentals: 

• A blanket stipend amount of $750 will be provided for the following: 
  • Ground transportation (Uber/Lyft, Shuttle) 
  • Airport parking 
  • Travel to/from airport 
  • Meals not provided by the conference 
  • Tax offset
  • Rideshare is the recommended method of ground transportation. If you wish to rent a car, the cost will likely exceed the incidental amount and be at your own expense.
  • No receipts are necessary for these costs. 

Travel Details

Working Connections Location 

• Columbus State Community College 
• Center for Workforce Development (WD) 
• 315 Cleveland Ave., Columbus, OH 43215 
• 3rd Floor – Classroom Labs, 4th Floor – Breakfast, Lunch & Breaks 

Columbus State Parking 

• CSCC, Lot 27-S  
• 385 McCoy St., Columbus, OH 43215 
• Columbus State Parking Policy 
• Cost: $12.00/day 
• Pay via parking.com app – Follow the posted instructions on the lot signage 

Airport 

John Glenn Columbus International Airport (CMH) 

• 4600 International Gateway 
• Columbus, OH 43219 
• Distance to Downtown: 8 miles (11 min ride) 

Ground Transportation 

Rideshares, such as Uber or Lyft, are readily available and the most economical option  

Hotels – Courtesy Blocks 

Canopy By Hilton Columbus Downtown Short North 

• 77 E. Nationwide Blvd. 
• Distance: .6 mile (12 min walk, 5 min ride) 
• Nightly Rate: $179.00 
• Booking Deadline: May 1st  
• Booking Link 

Sonesta Columbus Downtown 

• 33 E. Nationwide Blvd. 
• Nightly Rate: $179.00 
• Distance: .6 mile (12 min walk, 5 min ride) 
• Booking Deadline: May 1st  
• Booking Link 

Drury Plaza Hotel Columbus Downtown  

• 88 East Nationwide Blvd. 
• Nightly Rate: $185-$199 
• Distance: .6 mile (12 min walk, 5 min ride) 
• Booking Deadline: April 17th 
• Booking Link 
• *Booking link only available June 1-June 4, participants staying on Sunday and/or Thursday nights will need to book additional nights (will be reimbursed)* 

Travel Planning Notice

Please plan your travel carefully for the final day of the Working Connections program.