AI Interview Preparation Timeline:
Week-by-Week Study Plan
Structured preparation beats random studying.
Follow this timeline to systematically prepare for AI engineering interviews.
Unstructured Prep
Wastes Your Time
Random LeetCode grinding without a plan leaves gaps—you don't know what you don't know.
AI interviews test multiple skills (coding, system design, behavioral, AI-specific)—you need to balance all areas.
Interview timelines vary—you need to calibrate preparation intensity to your available time.
Prepare Systematically with a Timeline
The World-Class AI Engineer Cohort
Whether you have 2 weeks or 3 months, structured preparation outperforms random studying. This timeline helps you allocate time effectively across all interview components.
Assess Your Current Level
Identify strengths and gaps to focus your limited preparation time
Build Fundamentals First
Start with coding and data structures—they're the foundation for everything else
Layer in System Design
Add system design practice once coding basics are solid
Polish with Mock Interviews
End with mock interviews to simulate real conditions and build confidence
Meet Your Mentor
My aim has been the same for years: become a world-class AI engineer. Every career move I've made has been measured against that.
I started as a software tester on a $500/month internship in the Netherlands. Taught myself to code, learned to ship real systems, and worked my way to Senior Engineer at GitHub.
Then I left GitHub. I joined an AI research lab as Member of Technical Staff, where I currently build products for secure AI monitoring.
The cohort draws directly from my real experience so you can make progress fast.
I run this special cohort with only a few people because hands-on work with me is what it takes to bring you to become a world-class AI engineer.
Real Results
Vittor
AI Engineer
Built and deployed his portfolio piece, then landed the AI role
"The coaching played a huge part in my success. I focused on AI fundamentals, the certification path, and soft skills like professional writing. Having access to expert guidance gave me confidence during interviews and helped me feel I was on the right path.
I built my own platform (simple but functional) and deployed it on AWS. I used it in my portfolio and showcased it during interviews. The way complex topics were explained, especially the restaurant analogy for AI systems, really stuck with me. Focusing on doing the basics well was absolutely essential."
What You Will Get
8 Weekly Tuesday Sessions
3 hours each for 24 live hours total.
Project Scoping at Kickoff
We set the scope of what you'll ship and the milestones to get there before the live sessions start.
Code Reviews
Reviews of your code from Zen during the cohort.
Lifetime Demo Access
Every architecture demo is recorded and yours to keep.
Demo Day
You present what you built and get feedback from Zen, with a recording you can use in your portfolio.
12 Months Community Access
Included with the cohort.
Every Week of Prep Matters. Start Your Timeline Today.
Frequently Asked Questions
What should a 3-month AI interview preparation plan look like?
Three-month plan for thorough preparation: Weeks 1-4 (Coding Foundation): 2-3 LeetCode problems daily focusing on arrays, strings, trees, graphs. Review data structures basics. Build problem-solving patterns. Weeks 5-6 (Advanced Coding): Dynamic programming, backtracking, harder graph problems. Aim for 150-200 total problems solved. Weeks 7-8 (System Design): Study distributed systems fundamentals. Practice 2-3 full system design problems per week. Focus on AI-specific designs (RAG, model serving). Weeks 9-10 (Behavioral): Prepare 15-20 STAR stories. Practice with framework for each company (Amazon LPs, etc.). Week 11 (AI-Specific): Review ML fundamentals, LLM concepts, evaluation metrics. Prepare to discuss your AI projects deeply. Week 12 (Mock Interviews): 4-5 full mock interviews. Light review, rest, confidence building.
How should I prepare for AI interviews with only 1 month?
One-month compressed plan: Week 1 (Coding Blitz): 3-4 problems daily. Focus on most common patterns: two pointers, sliding window, BFS/DFS, binary search. Skip obscure topics. Week 2 (System Design + More Coding): Continue coding (2 problems/day). Add system design practice (3-4 full problems this week). Focus on AI system design: RAG pipelines, recommendation systems. Week 3 (Behavioral + AI-Specific): Prepare 10 strong STAR stories. Review ML/LLM fundamentals. Deep-dive your own AI projects—you'll be asked about them. Week 4 (Mock Interviews + Polish): 3-4 mock interviews (mix of coding, system design, behavioral). Identify and patch remaining gaps. Rest before real interviews.
What if I only have 2 weeks to prepare for AI interviews?
Two-week emergency plan: Days 1-5 (Coding Focus): 4-5 problems daily. Focus exclusively on high-frequency patterns: arrays, hash maps, trees, basic graphs. Skip hard DP unless you're already strong. Days 6-8 (System Design): Study 2-3 AI system design problems deeply. Focus on your specific domain (RAG if you do RAG, etc.). Days 9-10 (Behavioral): Prepare 6-8 strong STAR stories covering: conflict, failure, leadership, technical decision. Days 11-12 (AI Deep Dive): Review your own projects thoroughly. Prepare to explain technical decisions and trade-offs. Days 13-14 (Mock + Rest): 2 mock interviews. Light review. Get sleep. Two weeks is tight but doable if you prioritize ruthlessly.
What's a good daily study schedule for AI interview prep?
Effective daily schedule (adjust to your availability): Morning (1-2 hours): Fresh mind for coding—solve 2-3 LeetCode problems. Review solutions even for problems you solved. Lunch (30 min): Read one system design article or watch one video. After work (1-2 hours): Alternate between system design practice (2-3 days/week) and behavioral prep (2 days/week). Weekend (3-4 hours): One full mock interview. Review weak areas from the week. Rest is important—cramming burns you out before interviews. Aim for 10-15 hours/week for steady progress.
If I have limited time, what should I prioritize in AI interview prep?
Priority order for limited time: (1) Coding—still the most common rejection reason. Focus on medium LeetCode, not hards. (2) Your own projects—you'll definitely be asked about them. Know every technical decision deeply. (3) Behavioral—easier to improve quickly than coding. 6-8 solid stories cover most questions. (4) System design—important for senior roles, less critical for entry-level. Focus on AI-specific designs (RAG, model serving). (5) ML fundamentals—brush up on basics but don't deep-dive unless role requires it. Prioritize areas where you're weakest AND that are most likely to be tested for your target role.
I've signed up for cohorts before and dropped out. How is this different?
It probably isn't, and you should hold the money. Most cohort dropouts are people who couldn't articulate what they were shipping when they signed up. That's why the consult exists, and why I turn down most applications. If we get on the call and you can't tell me what you'll have shipped at the end of week 8, I'll point you to the AI Native Engineer community until you can.
I'm not pivoting careers. I want to build a product. Does this still work?
Yes, the cohort works for people shipping their first serious AI system whether the goal is to land a senior role or to launch a product. The shipped system serves both equally well.
Do I need prior AI experience?
You need to be able to code in Python or TypeScript. Complete beginners can follow the classroom they get access to before the cohort sessions to come in well-prepared.
How much time will this take?
You'll spend 3 hours every Tuesday in the live session and roughly 3 hours of async work in between, for 8 weeks. The Tuesday session time is fixed.
What does it cost?
It's a four-figure investment that we discuss during the 30-minute consult, alongside whether the cohort is the right fit for your project.
Can I do this while working full-time?
Yes, most attendees do. The live session is one Tuesday a week and the async work fits around your existing schedule, as long as you can carve out roughly 6 hours a week.
I accept those who have the highest chance of success.
In the 30-minute call we discuss your goals and whether you are ready for the program.