Data structures, algorithms, system design, behavioral questions, and how to use Claude and ChatGPT to explain solutions, generate new problems, and give interview feedback. The interview prep course built for the AI-assisted era.
This is a text-first course that links out to the best supporting material on the internet instead of trying to replace it. The goal is to make this the best course on tech interview you can find — even without producing a single minute of custom video.
This course is built by engineers who ship tech interview systems in production. It reflects how these tools actually behave at scale.
Every day includes working code examples you can copy, run, and modify right now. Understanding comes through doing.
Instead of re-explaining existing documentation, this course links to the definitive open-source implementations and the best reference material on tech interview available.
Each day is designed for about an hour of focused reading plus hands-on work. Do the whole course over a week of lunch breaks. No live classes, no quizzes.
Each day stands alone. Read them in order for the full picture, or jump straight to the day that answers the question you have today.
The most common interview patterns — two pointers, sliding window, frequency counting with hash maps, and the string manipulation questions that appear in 40% of first-round screens. Using AI to generate variations and explain edge cases.
Binary tree traversals (BFS/DFS), common tree interview patterns (diameter, LCA, path sum), graph representations, BFS for shortest path, DFS for connected components, and the recursion-to-iteration translation technique.
The six DP patterns that cover 90% of DP interview questions: 0/1 knapsack, unbounded knapsack, longest common subsequence, matrix path, interval, and subsequence. Memoization vs tabulation and when each is cleaner.
The 45-minute system design framework, the components every system design answer needs (load balancers, databases, caches, queues), how to handle capacity estimation, and the system design question types that appear at FAANG vs startup interviews.
STAR method for behavioral answers, the 12 most common behavioral questions and how to answer them, negotiating offers (data-backed ranges, competing offers, equity vs salary), and using AI to rehearse answers before real interviews.
Instead of shooting our own videos, we link to the best deep-dives already on YouTube. Watch them alongside the course. All external, all free, all from builders who ship this stuff.
Complete coding interview prep — data structures, algorithm patterns, and the problem-solving approach that works under interview pressure.
The DP patterns that cover the majority of LeetCode medium/hard problems — with visual explanations and multiple worked examples.
The 45-minute framework for answering system design questions — requirements, estimation, high-level design, and deep dives.
STAR method answers for the most common behavioral questions — leadership, conflict, failure, and accomplishment stories.
Data-backed salary negotiation for software engineers — how to use competing offers, timing, and market data to maximize total compensation.
The best way to deepen understanding is to read the canonical open-source implementations. Clone them, trace the code, understand how the concepts in this course get applied in production.
The most-cited structured LeetCode study plan — 150 problems organized by pattern with video solutions.
The definitive system design reference — components, patterns, and worked examples for every common interview scenario.
Google engineer's complete coding interview study plan — data structures, algorithms, and computer science fundamentals.
Community-maintained collection of coding interview problems with explanations and multiple solution approaches.
The technical interview process has a specific format. This course teaches the format and the problem-solving patterns — not just individual problem solutions.
Self-taught engineers often have practical skills but gaps in the theoretical CS topics interviewers test. This course identifies and fills those gaps efficiently.
Coming back after parental leave, layoff, or career pivot? This course gets you back to interview readiness in 5 focused days.
The 2-day in-person Precision AI Academy bootcamp covers AI engineering and career development in depth — hands-on, with practitioners who build AI systems for a living. 5 U.S. cities. $1,490. 40 seats max. June–October 2026 (Thu–Fri).
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