tracks
Pattern & DP topics
15 core + 20 DP sub-tracks
One workspace · Patterns · Interviews · AI
Interview prep that builds real technical depth.
SkillPrepIQ brings coding patterns, interview banks, system design, and AI/ML foundations into one study loop—lessons, practice, and quizzes without the bookmark chaos.
SkillPrepIQ · WorkspaceLive preview
Patterns · Interview banks · AI modules · Quizzes — one disciplined study surface with local progress, notes, and retrieval practice.
prompts
Practice problems
Full statements, I/O, solutions
+items
Interview questions
5 banks × ~60 structured Q&A
modules
AI & ML curriculum
History through how models work, RAG & governance
MCQs
Quiz pool total
3 banks × 200, 20 per session
languages
Code templates
Java, Python, JavaScript
§ 01 — Platform
How the platform is organized
Alternate between clarity (which technique fits), deliberate practice, and verbal articulation—the same loop strong candidates use before interviews.
Tip
Built for retrieval, not passive reading
Lessons pair with drills and quizzes so you rehearse explaining ideas aloud—the same muscle panels test in real interviews.
- 01
Learn with structure
Overviews, diagrams, and templates establish the mental model before you write code.
- 02
Practice with intent
Full problem statements, constraints, and multi-approach solutions keep repetition meaningful.
- 03
Quiz and review gaps
Large MCQ banks and interview corpora force recall—then route you back to weak spots.
Each technical track opens with an overview: when to use the technique, intuition, common pitfalls, complexity, and starter templates in multiple languages. Visual diagrams anchor the mental model before you touch code. Practice items are written as full problem statements with constraints, samples, and reference approaches—so you are not guessing what “apply the pattern” means in context.
Interview sections mirror real panel depth: design patterns (creational, structural, behavioral), Java and Spring ecosystem concerns (transactions, JPA, JVM, security), and system design themes (reliability, scaling, messaging, caching, consistency). Questions include structured answers, code where it helps, and follow-ups you can drill with a peer or voice memo.
3-week plan
Core 15 Patterns
Prefix SumTwo PointersSliding WindowFast & Slow PointersLinkedList ReversalMonotonic StackTop K ElementsOverlapping IntervalsModified Binary SearchBinary Tree TraversalDFSBFSMatrix TraversalBacktrackingDynamic Programming
4-week plan
DP: 20 Patterns
FibonacciKadane's0/1 KnapsackUnbounded KnapsackLCSLISPalindromic SubsequenceEdit DistanceSubset SumString PartitionCatalan NumbersMatrix ChainCount WaysDP on GridsDP on TreesDP on GraphsDigit DPBitmask DPProbability DPState Machine DP
§ 02 — Depth
Depth of coverage—not a shallow landing page
SkillPrepIQ is intentionally text- and structure-heavy where it matters. Interview answers spell out definitions, tradeoffs, failure modes, and how you'd say this in 60 seconds. Pattern lessons include step lists and template code. Quizzes use large banks so repeated sessions stay fresh.
What “complete” looks like
Name the invariant for each pattern—not only the algorithm label.
Walk through time and space complexity; justify a pivot when constraints change.
Answer interview prompts with opening, tradeoff middle, and operational closing.
Explain ML terminology (labels, features, loss, generalization) without hand-waving.
The workspace is built to support that standard: repeated exposure, explicit explanations, and quick checks that reveal gaps before a high-stakes conversation does.
§ 03 — Interviews
Interview preparation, structured
Panels reward candidates who can compress years of experience into crisp narratives. SkillPrepIQ's interview banks are organized for that behavior: searchable text, difficulty and level filters, and tabbed answers so you can rehearse headline → detail → follow-up without drowning in prose.
60Bank 01
Design Patterns
Creational · Structural · Behavioral
60Bank 02
Java + Spring
Core Java · Spring · JPA · JVM · Security
60Bank 03
System Design
Reliability · Scale · Messaging · Caching
60Bank 04
Microservices
Boundaries · Sagas · Observability · Ops
60Bank 05
AI / ML Interview
ML · LLM · RAG · MLOps · Governance
Design & OO
Creational, structural, and behavioral patterns with intent, real-world use, and anti-patterns.
Java & Spring
Collections, concurrency, transactions, ORM, JVM reasoning, and security—framed as senior prompts.
System design
Availability, scale, messaging, caching, idempotency, and operational tradeoffs for whiteboard flow.
Microservices
Boundaries, sagas, resilience, observability, security, and deployment across distributed systems.
§ 04 — AI & ML
Foundational AI & machine learning
Modern software roles increasingly expect baseline AI literacy: not necessarily training frontier models from scratch, but understanding data, objectives, evaluation, deployment constraints, and how retrieval systems differ from raw generation. SkillPrepIQ treats this as part of the same technical foundation as DSA.
Overview
Hub & orientation
Study path
Curriculum order
History & waves
Symbolic → GenAI
ML fundamentals
Metrics, splits, production
Deep learning
NNs, transformers, scale
How a model works
Interactive tokens → gen
LLM foundations
Pre-training, tuning
LLM advanced
RAG, agents, eval
Modern stack
Tools, MCP, skills
MLOps
Pipelines, registry, CI/CD
RAG systems
Indexing, retrieval, eval
AI governance
Risk, privacy, compliance
Concepts the curriculum emphasizes
Problem framing
Supervised vs. unsupervised vs. reinforcement signals; labels, features, and leakage.
Model behavior
Training vs. inference; overfitting, underfitting, validation, and generalization.
Neural networks
Layers, non-linearities, and gradients at a high level—enough to discuss tradeoffs clearly.
Evaluation
Metrics that match the business objective; precision/recall, calibration, offline vs. online.
Modern stacks
Embeddings, vector search, and RAG as system components—not magic.
Responsible use
Privacy, drift, monitoring, and when not to apply ML.
§ 05 — Catalog
Everything in one workspace
Patterns, interviews, AI modules, quizzes, and progress—shipped as a single disciplined surface. Numbers reflect the live content generators and banks.
Pattern codex
35 tracks · 600 promptsFull overviews from prefix sums through DP families—diagrams, when-to-use cues, pitfalls, step lists, and templates in Java, Python, and JavaScript. Twenty curated items per core topic; fifteen per DP sub-track.
Practice modals
Statement · I/O · constraints · samplesEach prompt ships as a complete problem: constraints, sample cases, expandable reference solutions with complexity commentary, and a practice editor that runs JavaScript and saves your work on this device.
Learning plans
Core-15 · DP-20Structured 3-week and 4-week plans surface beside the pattern list—weekly breakdowns, daily routine prompts, and one-click jump to practice.
Interview banks
5 domains · ~300 questionsSearchable corpora with level and difficulty filters, tabbed answers (Answer / Code / Follow-ups), per-question progress, and mark-as-done persistence.
AI & ML modules
11 structured sectionsFrom AI history and classical ML through deep learning, an interactive how-models-work lab, LLM foundations, production patterns, MLOps, RAG, and governance.
Triple quiz engine
3 × 200-item poolsInterview MCQs from bank answer keys; pattern-ID quizzes matching stems to named techniques; dedicated AI/ML concept checks—twenty random per session.
Progress & notes
Browser-local persistenceSolved markers, editable templates per pattern, streak tracking, mastery at ≥50%, and interview done-state—ready to wire to auth and backends.
Use one workspace for the full arc of prep
Open SkillPrepIQ for patterns, interviews, AI & ML modules, and quizzes—one study loop without switching sites.
Sign in