Polaris ML/AI Training

Content Roadmap

Track our progress in building comprehensive interview preparation content.

Overall Progress
62items

62 items out of 62 planned so far.

Progress by Learning Stage
Resume ReadyWeek 1-2
0items
Coding ReadyWeek 3-6
24items
Knowledge ReadyWeek 7-10
37items
System Design ReadyWeek 11-13
1items
Mock Interview PracticeOngoing
0items
Progress by Content Type
Guided Project

Step-by-step project tutorials with resume bullet points

0items
Resume Bullet

Resume bullet point examples and templates

0items
Behavioral Question

Behavioral interview questions with sample answers

0items
Algorithm Problem

LeetCode-style algorithm and data structure problems

20items
ML Concept

ML concept questions (八股文) - theory and fundamentals

24items
ML Coding

ML coding problems - implement algorithms from scratch

4items
System Design

ML system design problems

1items
Mock Interview Set

Complete mock interview question sets

0items
Tech Stack

Technical questions about programming languages, frameworks, and tools

13items
Planned Content Targets

Our target content goals for a complete interview preparation platform:

Guided ProjectsTarget: 10

Hands-on projects with resume bullet points

Algorithm ProblemsTarget: 100

LeetCode-style coding problems

ML ConceptsTarget: 150

ML theory questions

ML CodingTarget: 50

Implement ML algorithms from scratch

System DesignTarget: 30

ML system design problems

Behavioral QuestionsTarget: 30

Common BQ questions with sample answers

Mock Interview SetsTarget: 20

Complete mock interview question sets