How can EPAM Campus help you build AI skills for a tech career?

Dmitrij Golubev, Strategic Talent Development Leader, shared how EPAM Campus helps learners build practical skills and prepare for real-world technology challenges.

Key takeaways

1. AI is becoming an essential skill for technology professionals, and EPAM Campus integrates AI learning into training programs.
2. Learning should go beyond theory. Project-based education helps students gain practical experience by working in cross-functional teams.
3. Industry experts lead EPAM Campus programs, bringing real project experience into the learning process.
4. Educational content is continuously updated to stay relevant to today's job market and emerging technologies.
5. AI tools should be used as a partner and accelerator, not as a replacement for learning and critical thinking.

What skills matter most in the AI era?

AI can generate code, review pull requests and answer technical questions. But what skills remain truly valuable when technology becomes increasingly automated? Adam Revesz and Attila Nedbal, Lead Systems Engineers, shared their perspective.

Key takeaways

1. Critical thinking remains one of the most important skills in the AI era. AI outputs should always be verified.
2. Use AI as a guide, not an answer machine. Learning happens when you understand the journey, not just the solution.
3. Communication, collaboration and adaptability remain essential for long-term career growth.
4. Understanding concepts is more important than memorizing every framework or tool. Technologies change, but fundamentals remain valuable.
5. AI-assisted development does not eliminate the need for code reviews. Peer reviews remain a powerful way to learn and share knowledge.

Which human skills help you work effectively with AI?

Jolanta Momot, Senior Delivery Manager, explored how AI is reshaping workplace expectations and why technical knowledge alone is no longer enough to stand out.

Key takeaways

1. AI rewards curiosity, experimentation and continuous learning.
2. Seniority does not automatically make someone the best AI user. Openness to new approaches often matters more.
3. Beginners frequently challenge existing processes and discover new, more effective ways of working.
4. Successful professionals combine technical expertise with judgment, ethics, accountability and business understanding.
5. AI can accelerate work, but human judgment remains irreplaceable.

How can you use AI to prepare for your first tech role?

Recruiter Anastasia Posarac shared practical advice on using AI responsibly when preparing for a first role in tech, from building a CV to succeeding in interviews.

Key takeaways

1. Use AI as a consultant, not as a replacement for your own experience and voice.
2. A strong CV should be concise, relevant and tailored to the position you're applying for.
3. AI can help structure experience using frameworks such as STAR (Situation, Task, Action, Result).
4. Authenticity matters. Never exaggerate experience or invent skills with AI.
5. At the beginning of your career, potential, motivation and willingness to learn are often more important than extensive experience.

The AI era brings new tools, new opportunities and new challenges. Yet one message remained consistent throughout all sessions: technology alone is not enough. Curiosity, critical thinking, adaptability and continuous learning will help you stay relevant, no matter how the industry evolves.

If you'd like to explore all insights, watch the full webinar recording on the Let's Talk AI — EPAM Campus Edition event page.

Ready to start your journey? Explore free training programs, build in-demand skills and gain hands-on experience with EPAM Campus.