Get interview-ready in Generative AI and DSA.
Two free, AI-guided tracks. Pick one and start building in your browser.
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 · Module 5
live cell1 # the 3 chunks closest to the query 2 q = embed("When did voice ship?") 3 hits = index.search(q, k=3)
- 38 lessons across 9 modules, Python to MCP & A2A
- Real OpenAI, LangChain and LangGraph calls, no GPU or API key
- 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- 99 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
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
9 modules, 38 lessons, 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
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.
- 99 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 a leaderboard so daily practice sticks
How it works
Pick. Build. Walk in ready.
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1
Pick a track
Generative AI for AI engineer rounds, DSA for coding rounds. Both are free and independent; 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
Walk in ready
You have built agents that retrieve, evaluate and call tools, or solved the patterns interviewers actually ask. Not watched someone else do it.
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 both tracks is free: all 38 Generative AI lessons and all 99 DSA problems, with the in-browser labs and AI hints included. No card is needed. An optional Placement Pro membership, described on the pricing page, adds placement support and certification; it is not required for any lesson.
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. Many people do both.
Do I need to install anything or bring an API key?
No. The DSA playground runs and auto-judges your code in the browser. The Generative AI labs run real model calls in editable cells with instant grading, and you do not need a GPU or your own API key to start.
What does the Generative AI track cover?
9 modules and 38 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?
99 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.
Is LogicWiz only for learners?
logicwiz.ai is the learning product. LogicWiz also runs two separate products on their own sites: Exams for institutes (exams.logicwiz.ai) and Interviews for companies (interviews.logicwiz.ai).