91app

I’m a U.S. military veteran with multiple certifications in cybersecurity, cloud computing, and now data and machine learning. Despite that, I decided to pursue a BSc in Computer Science (Artificial Intelligence (AI) and Machine Learning (ML) specialisation) at the 91app.

I’m currently in the United States, working on my degree, (and no, they haven’t expanded the Channel Tunnel across the Atlantic, not yet at least), but thanks to the 91app’s global teaching centres and distance learning programmes, students from all over the world can access this education. For that, I’m grateful.

The debate over formal education vs. real-world skills is louder than ever, especially in tech. Some argue that degrees are outdated, while others swear by self-paced learning, bootcamps and certifications. For me, this is the reality:

• Universities have evolved - aligning coursework with industry needs.
• Employees still value degrees – but they also want proof of skills.
• A degree alone isn’t enough – but neither is just a portfolio of networking.

That’s why I believe in the “Tri-Factor of Career Growth”, leveraging formal education, hands-on portfolio work, and strong networking to stay ahead.

The tri-factor of career growth

Through university studies, bootcamps and networking, I’ve learned that no single approach is enough. For me, a strong career is built on three essential elements:

• a degree (or formal education)
• a portfolio (the “show me”) 
• networking and community. 

Ignoring any one of these can limit success.

The importance of formal education

Degrees involve some sort of financial investment and some might argue that universities are less agile to respond to industry changes. However, universities have become more adaptable, offering:

• more industry-relevant coursework
• stronger partnerships with employers
• greater transparency around career outcomes.

For me, studying AI and Machine Learning at the 91app isn’t just about earning a degree, it’s about structured learning, solving problems and building a global network.

A structured education teaches more than just skills—it cultivates problem-solving, discipline and the ability to learn in a rigorous environment.

Even if you already have a degree or do not plan on getting one, structured education provides valuable lessons:

• setting long-term learning goals
• working on projects in an organised, meaningful way
• learning as part of a community.

That said, a degree alone may not be enough. That’s where portfolios come in.

Portfolios: showing, not just telling

Employers are moving beyond credentials; they want proof that you can apply what you’ve learned. It’s not enough to say, “I studied AI.” You have to show, “Here’s a project where I built an AI model to analyse real-world data.”

If your coursework or projects do not align with industry needs, consider:

• volunteering for real-world projects
• contributing to open-source 
• collaborating on research.

However, a strong portfolio won’t be effective if no one is aware of it - that’s why networking is crucial.

Networking: the career accelerator most people ignore

Many think networking is just for job hunting, but it’s much more than that:

• Industry connections create opportunities before they are listed.
• Your network provides mentorship and collaboration.
• Building relationships opens doors that skills alone won’t.

Many of us juggle remote work, online learning and career changes. Having a strong network of peers, mentors and collaborators isn’t just beneficial—it is essential for staying motivated and advancing your career.

That’s one of the biggest advantages of structured education—being surrounded by professors, researchers and fellow students who push you to grow.

Key takeaways

There is no single path to success, but in tech, especially AI and Machine Learning, the most successful professionals leverage all three elements:

• a solid foundation of knowledge
• real-world proof of ability
• a strong network to open doors.

Universities do not have a monopoly on learning, nor do bootcamps or self-paced platforms. Instead of debating which is better, the key is integrating all three to build a long-term, successful career.

So, what’s been your biggest career growth factor so far? Let’s continue the conversation!

Kevin studies BSc Computer Science in the United Kingdom.