For aspiring AI engineers:

As prompt engineering and vibe coding become mainstream, building a strong foundation is no longer optional—it’s essential. Core skills like Python programming, mathematics, and statistics remain critical for understanding model behavior and optimization. Proficiency in data handling—cleaning, structuring, and visualizing—is equally vital.

📌 Beyond these skills, AI engineers are now expected to deliver real-world projects using vibe coding.
Companies actively seek candidates with hands-on experience in AI-assisted development workflows. This is the new standard for job readiness.
At https://vskumarcoaching.com/,
we help you build provable, recruiter-grade experiences that lead to multiple job offers. Our coaching is structured, activation-ready, and trusted across domains.

🎓 Data Science Roadmap for Freshers
To qualify for our job coaching and attend the evaluation call, the following modules are mandatory:
✅ Python Programming – Basics to advanced
✅ Mathematics & Statistics – Core concepts for ML
✅ Data Analysis & Visualization – Pandas, Matplotlib, Seaborn
✅ SQL & Databases – Querying real-world data
✅ Machine Learning – Supervised & Unsupervised algorithms
✅ Deep Learning & AI – Optional but valuable skills
✅ Projects & Portfolio – Real-world projects to impress employers
✅ Career Tips & Job Preparation – Land your first Data Science job
📌 Completion of these modules is required to build job-grade experiences and unlock recruiter visibility.