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We hired one colleague for every department.
Last Tuesday, marketing asked Viktor to write the weekly campaign recap, pull performance from Google Ads and Meta, and format it as a PDF for the exec team. Done in four minutes.
That same afternoon, engineering asked Viktor to review three open pull requests on GitHub, cross-reference with the Linear sprint board, and flag anything blocking the release. Posted to private channel before standup.
At 9pm, ops asked Viktor to draft a vendor contract summary from three Notion docs and send it to the team. It was in #ops by morning.
None of them knew the others were using it.
Same colleague. Three departments. That's what changes when your AI coworker lives in Slack, where your whole company already works. It's not a tool one person logs into. It's a teammate everyone messages.
5,700+ teams. SOC 2 certified. Your data never trains models.
"Viktor is now an integral team member, and after weeks of use we still feel we haven't uncovered the full potential." - Patrick O'Doherty, Director, Yarra Web
Finishing college is a great achievement, but many graduates quickly realize one thing: a degree alone does not always guarantee a job. Employers want to see that you understand the fundamentals, but they also want proof that you can use real tools, solve real problems, and contribute from day one.
So, the better question is not, “Which course should I take?” The better question is, “Which skills will make me job-ready?”
Linux Fundamentals
Linux is used heavily in servers, cloud platforms, cybersecurity, DevOps, and system administration. If you want to work in IT, cloud, cybersecurity, or DevOps, Linux is one of the best foundational skills you can learn. Knowing basic commands, file permissions, users, networking, processes, and troubleshooting can immediately make you stronger than many entry-level candidates.
Cloud Computing
Cloud skills are very important because companies are using AWS, Microsoft Azure, and Google Cloud to run their systems and applications. A beginner-friendly cloud course, such as AWS Cloud Practitioner or Azure Fundamentals, can help you understand how modern IT environments work.
Cybersecurity Basics
Even if you do not want to become a cybersecurity analyst, security awareness is valuable in almost every tech role. Learning about threats, passwords, networks, firewalls, phishing, access control, and basic security tools can make you a safer and smarter IT professional.
Python Programming
Python is one of the best programming languages for beginners because it is easier to read and widely used in automation, data analysis, AI, scripting, and backend development. You do not need to become an expert overnight, but learning Python basics can help you automate tasks and build small projects.
SQL and Databases
Almost every company stores data. SQL helps you read, filter, organize, and understand that data. Whether you become a developer, analyst, support engineer, or cloud professional, database knowledge is extremely useful.
Resume Projects and Hands-On Labs
This is the part many students miss. Do not just complete courses. Build small projects. Set up a Linux server. Create a simple Python automation script. Build a small database. Deploy something in the cloud. Document your work on GitHub or LinkedIn.
The real secret is this: after college, employers are not only hiring your degree. They are hiring your ability to learn, solve problems, and show proof of your skills.
So, pick one direction, build the foundation, complete hands-on labs, and create a small portfolio. That is how you move from “recent graduate” to “job-ready candidate.”