AI Interview Prep Certification: 4 Weeks to First-Round Ready
Aki Wijesundara, PhD
AI Founder | Educator | Google AI Alum
Manu Jayawardana
AI Advisor | Krybe CEO | Snapdrum
Pass the AI Interview: 4 Weeks to First-Round Ready
AI companies don't interview like standard SWE shops. The patterns are different, the depth is different, and generic LeetCode prep doesn't get you through the door.
Most candidates spend months grinding 500 problems they'll never see in an AI interview, freeze on ML questions they actually know, and walk into system design rooms hoping for the best. This course closes that gap.
5,000+ professionals taught | 4 weeks | Engineer + PM tracks | Live mocks | Hands-on certification
By week four, you'll walk in prepared for first-round screens at AI companies, not oversold.
Over 4 weeks, you'll learn how to:
Master the 6 patterns that cover AI company coding screens
Lock in the 8 ML concepts that appear in 90% of AI interviews
Speak the system design language that separates juniors from seniors
Run live mock interviews with feedback from Aki and Manu
What you'll leave with
A passing-grade prep playbook for AI engineering interviews
Annotated solutions for every pattern you'll see this month
An AI Interview Prep Certified badge for your LinkedIn
Lifetime access, recordings, and a cohort community
What you’ll learn
Walk into AI screens with the patterns, ML vocabulary, and system design judgment companies actually test for.
Spot the pattern before writing a single line of code
Two pointers, sliding window, BFS/DFS, binary search, dynamic programming, backtracking, when each one fits
Drill under timed conditions until pattern recognition is automatic
The 8 ML concepts that show up in 90% of AI company interviews
Loss functions, overfitting, evaluation metrics, the interview version not the textbook one
Read PyTorch code you've never seen before and explain it confidently
Design real AI systems end to end: recommendation engines, inference pipelines, data labelling platforms
The 3 questions that demonstrate technical credibility in any design interview
When to bring in caching, queues, GCP vs AWS, and why your choice matters more than the service name
The 5-step interview framework: read, clarify, plan, code, review
What to do when you're stuck at minute 15
The exact phrases that keep you in the game when your first approach is wrong
Pass first-round technical screens at AI companies, with confidence
An honest map of what 4 weeks delivers, and what final-round offers take
PM track runs in parallel: vocabulary, tradeoff thinking, performing in hybrid interviews
Learn directly from Aki & Manu
Aki Wijesundara, PhD
AI Founder | Educator | Google AI Accelerator Alum
Manu Jayawardana
AI Advisor | Co-Founder & CEO at Krybe | Co-Founder of Snapdrum
Who this course is for
AI Engineers preparing for first-round screens. The material is in your head. The AI-specific patterns and ML vocabulary are not.
PMs interviewing at AI companies. Tested on tradeoffs and technical fluency, not code. The PM track runs in parallel through every week.
Engineers and PMs switching from non-AI roles. The experience is there, the AI layer is missing. Four weeks closes that gap honestly.
Prerequisites
No deep ML background required
Comfort with Python and basic ML concepts is enough. We rebuild the 8 patterns AI interviewers actually ask about, from first principles.
A working coding setup
Bring a laptop where you can run Python and code along. We use a shared notebook environment for live mocks, no special tools required.
Willingness to grind 4 weeks
This works if you show up. Plan on around 6 hours a week, including weekly assignments and one live mock interview round.
What's included
Live sessions
Learn directly from Aki Wijesundara, PhD & Manu Jayawardana in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Scenario Sprints and checkpoints
Four hands-on simulations and a checkpoint at the end of every week. You will know exactly when you are ready to move on.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
10 live sessions • 118 lessons
Week 1
May
20
Week 1 Live: AI Interview Landscape & Data Structures
The AI Interview Landscape
Core Data Structures, AI Company Focus
Algorithm Patterns, First Contact
Scenario Sprint #1, Pattern Recognition
The PM Track, Week 1 Goal
Week 1 Checkpoint
Resources
Full week recap and extra resources
Visual learners - YouTube guide
Simple Guide for this week
Case studies
Tools and guides
Moving to week 02 - the bridge guide
Week 2
How Interviewers Test ML Knowledge
Core ML Concepts
PyTorch Fundamentals
Scenario Sprint #2, ML Question Clinic
The PM Track, Week 2 Goal
Week 2 Checkpoint
Resources
Full week recap and extra resources
Visual learners - YouTube guide
Simple Guide for this week
Case studies
Tools and guides
Moving to week 03 - the bridge guide
May
29
Optional: Office Hours
May
25
Optional: Office Hours
May
28
Week 2 Live: ML Fundamentals & PyTorch
Free resources
Schedule
Live sessions
1 hr / week
One live session per week with Aki and Manu, plus a weekly office hours for live questions and debriefs.
Wed, May 20
10:30 AM—12:30 PM (UTC)
Fri, May 29
1:00 PM—1:45 PM (UTC)
Mon, May 25
1:00 PM—1:45 PM (UTC)
Projects
2 hrs / week
Each week ends with a Scenario Sprint, a timed simulation under interview conditions, followed by a tutor debrief.
Async content
4 hrs / week
28 short modules across 4 weeks covering the 6 patterns, ML fundamentals, system design, and the PM track. Watch on your own schedule.
Testimonials
The AI training approach is outstanding. Our team learned to build practical AI solutions that we could implement immediately in our educational platform. The hands-on methodology made complex AI concepts accessible to our entire development team.
Kavi T.
CEO of Tilli Kids / Stanford PhDI sent my team through this training for upskilling, and the results have been remarkable. Within weeks, they became much more efficient at building automations and deploying AI agents at work. This program bridges the gap between theory and practice and it has had a real impact on our productivity.
Aamir Faaiz
CEO of BayseianNot only are the instructors experts in their field, they are incredibly skilled at breaking down complicated AI concepts so students can grasp them quickly. Anyone interested in building foundational AI knowledge should take this training, it is worth the investment.
Dr. Elizabeth Creighton
Founder & Principal at BrazenThe instructors help break down AI model development and clearly have plenty of experience to help others learn about complex concepts like infrastructure setup. The practical approach to NLP and LLM applications was exactly what our team needed.
Alissa Valentine
NLP & LLM Real World Data Scientist
Frequently asked questions
$1,200
USD