Get interview-ready in Generative AI, DSA and design rounds.
Four free, AI-guided tracks. Pick one and start building in your browser.
LogicWiz is a company based in Bengaluru, India, run by Pooja Goenka, its founder and director. It helps engineers get ready for technical interviews. Its courses in Generative AI, DSA, System Design and Low-Level Design are free, with no card needed. Most lessons have a lab that runs in your browser and an AI tutor to ask when you get stuck. When you want to practise out loud, LogicWiz Interviews has free AI mock interviews. About LogicWiz
Choose a track
AI engineer rounds
Generative AI
Go from Python to production agents. Every lesson ends in a cell like this one, running a real model call and grading what comes back.
rag_lab.py · RAG lab
live cell1 # the 3 chunks closest to the query 2 q = embed("When did voice ship?") 3 hits = index.search(q, k=3)
- Every lesson from Python to MCP & A2A
- Real OpenAI, LangChain and LangGraph calls, nothing to install
- Visualizers for tokens, attention, RAG and the MCP handshake
Coding rounds
Data Structures & Algorithms
The coding round, without the grind. Watch the pattern move, then prove it on curated problems the playground judges as you type.
merge_sort.py · Searching & Sorting
step 12 / 28- Curated problems with an in-browser playground
- Visual simulations for trees, graphs, DP and sorting
- AI hints tuned to your code: a nudge, not the answer
System design rounds
System Design
Learn how real systems scale, then draw your own on a whiteboard that checks the design.
whiteboard · URL shortener
read path- Lessons on scaling, storage, caching and queues
- Design problems worked on the whiteboard
- AI mock design rounds with Aria on LogicWiz Interviews
LLD and machine coding rounds
Low-Level Design
Design the classes, not only the boxes. Draw a class diagram and get Java and Mermaid out of it.
designer · Parking lot
Java · MermaidParkingLot
- floors: List<Floor>
+ park(v): Ticket
class ParkingLot { private List<Floor> floors; Ticket park(Vehicle v) }
- Lessons on OOP, SOLID and design patterns
- Class diagram designer with Java and Mermaid output, plus worked problems
- An AI mock LLD round with Aria on LogicWiz Interviews
Why prepare with LogicWiz
01 · Build, don’t watch
Run real code in the browser
Every lesson ends in code you write and run: an auto-judged DSA solution or a live model call in a lab cell. Nothing to install.
02 · See it to get it
Visualizers for the hard parts
Token-by-token generation, RAG retrieval, the MCP handshake, tree and graph traversals: animated, not just described.
03 · Never stuck
An AI tutor that nudges
Hints tuned to exactly where you are in a lesson and what you just wrote. You still do the thinking, which is what the interview tests.
Build the AI stack teams hire for.
Prompting is table stakes. AI engineer interviews ask whether you can build an agent, ground it with retrieval, evaluate it, and wire it to tools. This track takes you there from Python, one runnable lab at a time.
- Real OpenAI, LangChain, LangGraph and embeddings calls in editable, graded cells
- RAG end to end: embeddings, chunking, indexing, retrieval, evaluation
- Multi-agent patterns: routing, orchestrator-worker, sub-agents
- The 2026 protocols most courses skip: MCP, gateways, A2A
What you’ll build, in order
Every lesson, one agent called Nova.
- 01 Awakening the Machine Python, the language of AI
- 02 Building the Brain's Toolkit Data structures and decisions in Python
- 03 Leveling Up Your Powers Functions, packages, data analysis
- 04 The Agent Awakens LLMs, prompts, tools, memory, the agent loop
- 05 Nova Reads the Archives RAG: embeddings, chunking, retrieval
- 06 Nova Goes to Production LangChain pipelines, memory, evals
- 07 Nova Builds a Team Multi-agent patterns with LangGraph
- 08 Nova Finds Her Voice Tokens, cost, vision, audio, voice agents
- 09 Nova Joins the Network MCP, gateways, and A2A
- 10 Finding the Needle Hybrid search, reranking and retrieval quality
- 11 Shipping Nova Safely Observability, guardrails, evaluation and cost
- 12 Teaching FinAssistant the House Style: Fine-Tuning & Domain Adaptation Fine-tuning, LoRA and QLoRA, domain adaptation
- 13 Operating TripWeaver: LLMOps in Production Safe rollouts, prompt versioning, routing, cost and observability
- 14 Operating TripWeaver's Agent Team: AgentOps in Production Multi-agent design, failure modes, memory, evaluation, trust and scale
The coding round, without the grind.
Coding interviews test patterns, not memorised solutions. Each concept is taught as a story with a visual simulation, then practised on curated problems in a playground that judges your code and hints when you stall.
- Curated problems, auto-judged in the browser
- Arrays, hashing, two pointers, sliding window, linked lists, stacks & queues
- Trees, graphs, recursion, dynamic programming, searching & sorting
- XP, levels and daily streaks so practice sticks
Then rehearse the real thing.
Knowing the material is half of it. With the same account, LogicWiz Interviews lets you answer out loud to an AI interviewer, see where you lost marks, and get your resume past the filter for the job you want.
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Mock interviews with Aria
Aria is an AI interviewer. She runs coding, system design, low-level design and behavioural rounds, follows up on what you said, and ends with a scored report.
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Resume Optimizer
A score the way an applicant-tracking system reads you, weak bullets rewritten, and a version tailored to each job description.
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Skill challenges
One question at a time across every interview track, scored against the rubric an interviewer would use, with a full report on every attempt.
1 typed interview with Aria a week on the free plan. No new sign-up: your LogicWiz account works there.
How it works
Pick. Build. Rehearse.
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1
Pick a track
Generative AI for AI engineer rounds, DSA for coding rounds, System Design and Low-Level Design for design rounds. All of them are free. Start with the interview you have next.
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2
Build in the browser
Every lesson ends in code you run: a graded model call in a lab cell or an auto-judged solution in the playground. The AI tutor nudges when you stall.
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3
Rehearse, then walk in
Say your answers out loud to Aria, an AI interviewer, and fix what the report flags. You have built it, solved it and said it before the real round.
Early access
Open for the first cohort of learners.
We are pre-launch. No fake logos, no fabricated stats: just the real product, free for learners, with new lessons landing as we build. Jump in early and help shape what we add next.
FAQ
Questions engineers ask first.
Is LogicWiz free?
Yes. Every lesson in every track is free: Generative AI, DSA, System Design and Low-Level Design, with the in-browser labs and AI hints included. No card is needed. Optional paid plans, Ace at ₹149 a month and Wizard at ₹999 a month, are described on the pricing page and add more practice tests and AI interview practice; they are not required for any lesson. The GenAI certification exam is free.
Which track should I start with?
They are independent, so start with the interview you are preparing for. Coding rounds test Data Structures & Algorithms, so start with the DSA track. AI engineer and GenAI roles ask you to build and reason about agents, RAG, and evals, so start with the Generative AI track. Design rounds ask you to design a system or a set of classes, so start with System Design or Low-Level Design. Many people do more than one.
Do I need to install anything or bring an API key?
Nothing to install. The DSA playground runs and auto-judges JavaScript and Python in your browser, and the Python chapters of the Generative AI course run there too. In the later chapters the labs make real model calls with your own API key: a free NVIDIA key works for most labs, and the embedding and RAG steps need an OpenAI key.
What does the Generative AI track cover?
A growing library of lessons, from Python basics to the current stack: large language models, prompt engineering, tools and memory, the agent loop, retrieval-augmented generation (RAG) with embeddings and chunking, LangChain pipelines and evals, multi-agent systems with LangGraph, conversational and multimodal AI, and the Model Context Protocol (MCP) and A2A agent protocols.
What does the DSA track cover?
A growing library of curated problems across arrays, hashing, two pointers, sliding window, linked lists, stacks and queues, trees, searching and sorting, recursion, dynamic programming, and graphs, each with visual simulations, an in-browser playground with auto-judging, and AI hints tuned to your code.
What do the System Design and Low-Level Design tracks cover?
System Design has lessons on scaling, storage, caching, queues and trade-offs, worked design problems, and a whiteboard that checks your design. Low-Level Design has lessons on OOP, UML class diagrams, SOLID and design patterns, worked problems, and a class diagram designer that exports Java and Mermaid. Both have AI mock rounds on LogicWiz Interviews.
Is LogicWiz only for learners?
logicwiz.ai is the learning product. Your LogicWiz account also works on LogicWiz Interviews (interviews.logicwiz.ai), where you practise mock interviews with Aria and optimise your resume; sign in once and you are signed in on both, and one membership (Spark, Ace or Wizard) covers both. Interviews also serves companies hiring engineers. Exams for institutes runs separately on exams.logicwiz.ai.
Who runs LogicWiz and where is it based?
LogicWiz is a company based in Bengaluru (Bangalore), India. It is run by Pooja Goenka, its Founder & Director. The About page has the details and the company's official profiles.
Is LogicWiz the same as Logic Wiz, the Sudoku app?
No. The Logic Wiz Sudoku and puzzle apps at logic-wiz.com are a separate product. LogicWiz at logicwiz.ai makes a free Generative AI course, LogicWiz Interviews and LogicWiz Exams.