How Companies Actually Hire

How Companies Actually Hire

Concepts appear as they come up…

Most students imagine hiring works like

00:00/01:36

1 / 1

How Companies Actually Hire

Certisured is an Edtech based out of Bangalore and is Co-founding team of Wizori - built to provide quick fundamental clarity in form of short vibes.

www.certisured.com

How Companies Actually Hire

Loading comments…

Continue your learning — your way

Sign in to unlock the full playlist, save your progress, and get a personalized feed.

Up next

AI for Hardware Tinkering
7:02·3 eps
The Shape of Randomness
9:54·4 eps
MODULE 8 — Tools of the Trade: From Concepts to Components
2:09
MODULE 5 — System Prompts: The Hidden Conversation
2:36
MODULE 6 — Tools: When an LLM Learns to Act
2:46
MODULE 2 — What the Model Actually Sees (The Anatomy of Context)
3:30
MODULE 9 — RAG: Teaching the Model to Read Before It Answers
3:17
MODULE 3 — The Context Window: The World the LLM Can See
5:20
MODULE 10 — Vector Databases: Teaching AI to Search by Meaning
2:54
MODULE 4 — Memory Engineering: Teaching AI to Remember You
2:36
MODULE 1 — Introduction to Context Engineering
2:28
MODULE 12 — Long-Term Memory: Helping AI Remember What Matters
2:52

How Companies Actually Hire — full transcript

How Companies Actually Hire

How Companies Actually Hire

Most students imagine hiring works like this: you submit a resume, a recruiter reads it, calls you for an interview, and if you perform well, you get the job. That was true years ago. Today, your resume is often reviewed by software before a human being ever sees it. Companies receive hundreds, sometimes thousands, of applications for a single opening. To manage this volume, they use Applicant Tracking Systems (ATS) and AI-powered screening tools to shortlist candidates based on skills, keywords, projects, experience, certifications, and role relevance. Only the strongest matches reach a recruiter. The recruiter then evaluates your portfolio, LinkedIn profile, GitHub, personal website, internships, and projects before deciding whether to schedule an interview. This means your interview often begins long before anyone speaks to you. The good news is that these systems aren't looking for perfection—they're looking for evidence. Evidence that you've built projects, learnt relevant skills, solved real problems, and can contribute from day one. That's why, throughout your journey at Certisured, you won't just learn concepts. You'll build a portfolio that AI can recognize, recruiters can trust, and employers can value. Because in today's world, getting hired isn't just about answering interview questions—it's about giving companies enough evidence to invite you to the interview in the first place.