Day 1 → Offer Letter

Track Your
AI Interview Prep

2,347 topics. 3 career tracks. Priority tags that tell you exactly what to study and in what order. Built for AI/ML/DS interviews.

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PrepTrackerDashboardRoadmapResourcesTemplatesAWelcome, Arjun 🙏🚀 AI Engineering journey · fresher levelPROGRESS73%1,241/1700 topicsCOMPLETED1,241topics doneMUST LEFT124must priority leftOverall Readiness73%Module Progress⚡ Prerequisites348/348 topics100%🧠 Machine Learning224/248 topics90%🎯 Data Modalities106/176 topics60%🔮 Deep Learning75/100 topics75%🛠 Practical DL85/154 topics55%🚀 AI Engineering403/674 topics60%Continue studying → Open RoadmapOverall Readiness73%ReadinessPrerequisites85%Machine Learning52%Deep Learning28%Practical DL5%AI Engineering8%2,347 topics · 8 modules · 3 career tracks
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How It Works

Three steps. Zero confusion. Start tracking in 60 seconds.

01
🎯
Pick Your Track
AI Engineering, ML Engineering, or Research Engineer. Focus beats breadth every time.
02
✅
Track Topics
2,347 topics with checkmarks, priority tags, and progress bars. Check off as you learn.
03
🏆
Get Job Ready
Watch your readiness grow. Apply templates from people who cracked real interviews.

Who Is This For?

PrepTracker works for anyone targeting AI/ML/DS roles

🎓
Fresh Graduates
No prior industry experience? Start with Prerequisites and Machine Learning. The priority tags tell you what matters most for entry-level roles.
💻
Software Engineers Moving to AI
Already coding professionally? Skip what you know. Focus on the AI Engineering or ML Engineering track to make the switch faster.
📊
Working Data Scientists
Have the fundamentals but want to level up? Use the Research Engineer track or community templates from people who cracked FAANG interviews.

Everything You Need

Built specifically for AI/ML interview preparation

📊
Progress Dashboard
Track completion at topic, section, module, and overall levels. Animated progress bars.
🏷️
Priority Tags
Must / Should / Nice on every topic. Click to cycle. Auto-set by experience level.
🎯
Community Templates
Real priority configs from people who cracked interviews at top companies.
📚
Hindi + English
Curated learning resources tagged by language. Study in whichever language you think in.
🛤️
3 Career Tracks
AI Engineering, ML Engineering, Research Engineer. Shared foundation + track modules.
📱
Works Everywhere
Mobile-first PWA. Install on home screen. Progress syncs across devices.

Choose Your Track

Three paths. Pick the one that matches your dream role.

🚀AI Engineering
MOST JOBS

Build ON TOP of LLMs. RAG, agents, LangGraph, prompt engineering. Fastest growing track.

📝 674 topics • ⏱ 3-4 months
💼 AI Engineer, GenAI Engineer, LLMOps
⚙️ML Engineering
EVERGREEN

Build scalable ML systems. System design, MLOps, model serving. Recession-proof career.

📝 340 topics • ⏱ 3-4 months
💼 ML Engineer, MLOps, Data Scientist
🔬Research Engineer
HIGHEST PAY

Build LLMs from scratch. Pre-training, RLHF, distributed systems. Cutting-edge frontier.

📝 307 topics • ⏱ 3-4 months
💼 Research Scientist, Applied Scientist

Learn From Those Who Made It

Real prep templates from people who cracked interviews. Coming soon.

⚙️
Amazon ML Engineer
COMMUNITY · COMING SOON

ML System Design + XGBoost heavy. Optimised for ML Engineering interviews at top product companies.

ML Eng
🚀
Google AI Engineer: RAG Focus
COMMUNITY · COMING SOON

Deep dive into RAG, Graph RAG, and LangGraph. Built for AI Engineering roles at FAANG.

AI Eng
📊
Flipkart Data Scientist
COMMUNITY · COMING SOON

EDA + feature pipelines first. Optimised for data scientist roles at product companies.

ML Eng
Coming in V2

What's Next

Built for one goal — cracking ML/AI roles at MAANG and top-tier AI labs.

SOON
⚡
ML-Focused DSA
Not all of Leetcode. Just the problems that actually show up in Google, Meta, and Amazon ML interviews. Verified, tagged by topic, updated with what was asked in the last 6 months.
SOON
🏗️
ML System Design
Topic-wise ML system design from small concepts to expert-level end-to-end cases. Theory gets you to the interview. System design gets you the MAANG offer.
SOON
🎯
Interview Questions
Topic-wise interview questions from beginner to expert. Verified questions from MAANG interviews mapped to every topic so you walk in knowing exactly what to expect.
SOON
💼
Jobs Board
Live ML/AI openings at Google, Meta, Apple, Amazon, Netflix and top AI labs. Filtered by your track, level, and role. No noise, just the roles worth applying to.
SOON
🛠️
Project Hub
Topic-wise projects from beginner to expert. "Tell me about a project you built" is in every MAANG interview. So you always have a real answer, not just theory.
SOON
📋
Custom Templates
Create your own priority template, publish it for the community, or apply one from someone who already cracked Google or Meta. Use their exact prep strategy, or share yours after you get the offer.

Ready to Crack Your AI Interview?

Free forever. One click with Google and you're tracking.

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