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Course Snapshot

Structured, hands-on learning path for LeetCode Problem Solving & Interview Prep with detailed weekly outcomes and practical delivery.

12 Weeks
Intermediate
Project-Based
Course QR Code

LeetCode Problem Solving & Interview Prep

Professional curriculum aligned to practical delivery, portfolio quality, and implementation confidence.

Duration: 12 Weeks
Level: Intermediate
Study Time: 2 hours/week + labs
School: Hexadigitall Academy

Welcome to LeetCode Problem Solving & Interview Prep! 🎓

This curriculum for LeetCode Problem Solving & Interview Prep follows a Bloom-aligned progression from practical foundations to measurable professional outcomes, with weekly evidence, labs, and portfolio outputs matched to intermediate expectations.

Each week advances from comprehension and application toward evaluation and creation, ensuring progressive learning and capstone readiness.

Your success is our priority. By the end, you will produce portfolio-ready artifacts and confidently explain your technical decisions. You will graduate with a professionally curated portfolio that demonstrates scope, depth, and delivery quality. You will graduate with a professionally curated portfolio that demonstrates scope, depth, and delivery quality. You will graduate with a professionally curated portfolio that demonstrates scope, depth, and delivery quality. You will graduate with a professionally curated portfolio that demonstrates scope, depth, and delivery quality.

Prerequisites & What You Should Know

  • Programming language proficiency with solid grasp of data structures, algorithms, and design patterns
  • Version control mastery: Git workflows, code review, merge conflict resolution, and collaborative development
  • Testing fundamentals: unit testing, test-driven development, mocking, and test coverage analysis
  • Debugging and profiling skills: breakpoint debugging, performance flame graphs, and memory analysis

Recommended Complementary Courses

Web Development (Frontend/Backend)

Specialize in modern frameworks, API design, and full-stack architecture

System Design & Architecture

Master scalability patterns, distributed systems, and reliability engineering

DevOps & Quality Assurance

Learn CI/CD integration, automated testing, and production monitoring

Essential Learning Resources

  • Language-specific style guides, design patterns reference, and debugging tools inventory
  • Testing frameworks, mock libraries, and performance profiling instructions for your tech stack
  • Refactoring patterns, security best practices, and code quality tooling configurations

Your Learning Roadmap

  • Early Weeks: Complexity analysis and core data structure patterns
  • Middle Weeks: Graph/tree reasoning, dynamic programming, and optimization patterns
  • Late Weeks: Interview simulation, speed/accuracy refinement, and portfolio-ready solution writeups

Detailed Weekly Curriculum

Week 12 hours + labs
LeetCode Problem Solving & Interview Prep: Algorithmic Complexity and Big-O Analysis (Sprint 1)
  • Understand the principles of LeetCode Problem Solving & Interview Prep: Domain Foundations and Problem Definition (Sprint 1) and link them to course outcomes through progressive practical delivery milestones.
  • Apply LeetCode Problem Solving & Interview Prep: Domain Foundations and Problem Definition (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
  • Analyze trade-offs, risks, and decision points for LeetCode Problem Solving & Interview Prep: Domain Foundations and Problem Definition (Sprint 1), then record rationale for stakeholder review.
  • Document a portfolio-ready delivery strategy memo for LeetCode Problem Solving & Interview Prep: Domain Foundations and Problem Definition (Sprint 1) with measurable success criteria and next actions.

Lab Exercise

  • Build a practical LeetCode Problem Solving & Interview Prep: Algorithmic Complexity and Big-O Analysis (Sprint 1) workflow with source-to-output transformation steps.
  • Validate LeetCode Problem Solving & Interview Prep: Algorithmic Complexity and Big-O Analysis (Sprint 1) quality and performance with objective checks and tuning updates.
  • Deliver reproducible LeetCode Problem Solving & Interview Prep: Algorithmic Complexity and Big-O Analysis (Sprint 1) outputs (dashboard/report/notebook) with run instructions.
Week 22 hours + labs
LeetCode Problem Solving & Interview Prep: Arrays, Strings, and Hashing Patterns (Sprint 1)
  • Understand the principles of LeetCode Problem Solving & Interview Prep: Stakeholder Discovery and Requirements (Sprint 1) and link them to course outcomes through progressive practical delivery milestones.
  • Apply LeetCode Problem Solving & Interview Prep: Stakeholder Discovery and Requirements (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
  • Analyze trade-offs, risks, and decision points for LeetCode Problem Solving & Interview Prep: Stakeholder Discovery and Requirements (Sprint 1), then record rationale for stakeholder review.
  • Document a portfolio-ready delivery strategy memo for LeetCode Problem Solving & Interview Prep: Stakeholder Discovery and Requirements (Sprint 1) with measurable success criteria and next actions.

Lab Exercise

  • Design and execute a concrete LeetCode Problem Solving & Interview Prep: Arrays, Strings, and Hashing Patterns (Sprint 1) build in LeetCode Problem Solving & Interview Prep with a clear acceptance checklist.
  • Validate LeetCode Problem Solving & Interview Prep: Arrays, Strings, and Hashing Patterns (Sprint 1) with objective tests and quality controls before review.
  • Deliver LeetCode Problem Solving & Interview Prep: Arrays, Strings, and Hashing Patterns (Sprint 1) artifacts with reproducible steps and operational notes.
Week 32 hours + labs
LeetCode Problem Solving & Interview Prep: Linked Lists, Stacks, Queues, and Heaps (Sprint 1)
  • Understand the principles of LeetCode Problem Solving & Interview Prep: Process Mapping and Workflow Design (Sprint 1) and link them to course outcomes through progressive practical delivery milestones.
  • Apply LeetCode Problem Solving & Interview Prep: Process Mapping and Workflow Design (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
  • Analyze trade-offs, risks, and decision points for LeetCode Problem Solving & Interview Prep: Process Mapping and Workflow Design (Sprint 1), then record rationale for stakeholder review.
  • Document a portfolio-ready delivery strategy memo for LeetCode Problem Solving & Interview Prep: Process Mapping and Workflow Design (Sprint 1) with measurable success criteria and next actions.

Lab Exercise

  • Design and execute a concrete LeetCode Problem Solving & Interview Prep: Linked Lists, Stacks, Queues, and Heaps (Sprint 1) build in LeetCode Problem Solving & Interview Prep with a clear acceptance checklist.
  • Validate LeetCode Problem Solving & Interview Prep: Linked Lists, Stacks, Queues, and Heaps (Sprint 1) with objective tests and quality controls before review.
  • Deliver LeetCode Problem Solving & Interview Prep: Linked Lists, Stacks, Queues, and Heaps (Sprint 1) artifacts with reproducible steps and operational notes.
Week 42 hours + labs
LeetCode Problem Solving & Interview Prep: Trees, Graphs, and Traversal Strategies (Sprint 1)
  • Understand the principles of LeetCode Problem Solving & Interview Prep: Decision Frameworks and Trade-offs (Sprint 1) and link them to course outcomes through progressive practical delivery milestones.
  • Apply LeetCode Problem Solving & Interview Prep: Decision Frameworks and Trade-offs (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
  • Analyze trade-offs, risks, and decision points for LeetCode Problem Solving & Interview Prep: Decision Frameworks and Trade-offs (Sprint 1), then record rationale for stakeholder review.
  • Document a portfolio-ready delivery strategy memo for LeetCode Problem Solving & Interview Prep: Decision Frameworks and Trade-offs (Sprint 1) with measurable success criteria and next actions.

Lab Exercise

  • Design and execute a concrete LeetCode Problem Solving & Interview Prep: Trees, Graphs, and Traversal Strategies (Sprint 1) build in LeetCode Problem Solving & Interview Prep with a clear acceptance checklist.
  • Validate LeetCode Problem Solving & Interview Prep: Trees, Graphs, and Traversal Strategies (Sprint 1) with objective tests and quality controls before review.
  • Deliver LeetCode Problem Solving & Interview Prep: Trees, Graphs, and Traversal Strategies (Sprint 1) artifacts with reproducible steps and operational notes.
Week 52 hours + labs
LeetCode Problem Solving & Interview Prep: Dynamic Programming and Memoization (Sprint 1)
  • Apply the principles of LeetCode Problem Solving & Interview Prep: Reporting and Communication Excellence (Sprint 1) and link them to course outcomes through progressive practical delivery milestones.
  • Analyze LeetCode Problem Solving & Interview Prep: Reporting and Communication Excellence (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
  • Evaluate trade-offs, risks, and decision points for LeetCode Problem Solving & Interview Prep: Reporting and Communication Excellence (Sprint 1), then record rationale for stakeholder review.
  • Justify a portfolio-ready delivery strategy memo for LeetCode Problem Solving & Interview Prep: Reporting and Communication Excellence (Sprint 1) with measurable success criteria and next actions.

Lab Exercise

  • Design and execute a concrete LeetCode Problem Solving & Interview Prep: Dynamic Programming and Memoization (Sprint 1) build in LeetCode Problem Solving & Interview Prep with a clear acceptance checklist.
  • Validate LeetCode Problem Solving & Interview Prep: Dynamic Programming and Memoization (Sprint 1) with objective tests and quality controls before review.
  • Deliver LeetCode Problem Solving & Interview Prep: Dynamic Programming and Memoization (Sprint 1) artifacts with reproducible steps and operational notes.
Week 62 hours + labs
LeetCode Problem Solving & Interview Prep: Greedy Algorithms and Backtracking (Sprint 1)
  • Apply the principles of LeetCode Problem Solving & Interview Prep: Risk and Governance Controls (Sprint 1) and link them to course outcomes through progressive practical delivery milestones.
  • Analyze LeetCode Problem Solving & Interview Prep: Risk and Governance Controls (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
  • Evaluate trade-offs, risks, and decision points for LeetCode Problem Solving & Interview Prep: Risk and Governance Controls (Sprint 1), then record rationale for stakeholder review.
  • Justify a portfolio-ready delivery strategy memo for LeetCode Problem Solving & Interview Prep: Risk and Governance Controls (Sprint 1) with measurable success criteria and next actions.

Lab Exercise

  • Design and execute a concrete LeetCode Problem Solving & Interview Prep: Greedy Algorithms and Backtracking (Sprint 1) build in LeetCode Problem Solving & Interview Prep with a clear acceptance checklist.
  • Validate LeetCode Problem Solving & Interview Prep: Greedy Algorithms and Backtracking (Sprint 1) with objective tests and quality controls before review.
  • Deliver LeetCode Problem Solving & Interview Prep: Greedy Algorithms and Backtracking (Sprint 1) artifacts with reproducible steps and operational notes.
Week 72 hours + labs
LeetCode Problem Solving & Interview Prep: Binary Search and Two-Pointer Methods (Sprint 1)
  • Apply the principles of LeetCode Problem Solving & Interview Prep: Program Execution and Cadence (Sprint 1) and link them to course outcomes through progressive practical delivery milestones.
  • Analyze LeetCode Problem Solving & Interview Prep: Program Execution and Cadence (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
  • Evaluate trade-offs, risks, and decision points for LeetCode Problem Solving & Interview Prep: Program Execution and Cadence (Sprint 1), then record rationale for stakeholder review.
  • Justify a portfolio-ready delivery strategy memo for LeetCode Problem Solving & Interview Prep: Program Execution and Cadence (Sprint 1) with measurable success criteria and next actions.

Lab Exercise

  • Build a practical LeetCode Problem Solving & Interview Prep: Binary Search and Two-Pointer Methods (Sprint 1) workflow with source-to-output transformation steps.
  • Validate LeetCode Problem Solving & Interview Prep: Binary Search and Two-Pointer Methods (Sprint 1) quality and performance with objective checks and tuning updates.
  • Deliver reproducible LeetCode Problem Solving & Interview Prep: Binary Search and Two-Pointer Methods (Sprint 1) outputs (dashboard/report/notebook) with run instructions.
Week 82 hours + labs
LeetCode Problem Solving & Interview Prep: Systematic Problem Decomposition and Interview Simulation (Sprint 1)
  • Apply the principles of LeetCode Problem Solving & Interview Prep: Continuous Improvement and Scale (Sprint 1) and link them to course outcomes through progressive practical delivery milestones.
  • Analyze LeetCode Problem Solving & Interview Prep: Continuous Improvement and Scale (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
  • Evaluate trade-offs, risks, and decision points for LeetCode Problem Solving & Interview Prep: Continuous Improvement and Scale (Sprint 1), then record rationale for stakeholder review.
  • Justify a portfolio-ready delivery strategy memo for LeetCode Problem Solving & Interview Prep: Continuous Improvement and Scale (Sprint 1) with measurable success criteria and next actions.

Lab Exercise

  • Design and execute a concrete LeetCode Problem Solving & Interview Prep: Systematic Problem Decomposition and Interview Simulation (Sprint 1) build in LeetCode Problem Solving & Interview Prep with a clear acceptance checklist.
  • Validate LeetCode Problem Solving & Interview Prep: Systematic Problem Decomposition and Interview Simulation (Sprint 1) with objective tests and quality controls before review.
  • Deliver LeetCode Problem Solving & Interview Prep: Systematic Problem Decomposition and Interview Simulation (Sprint 1) artifacts with reproducible steps and operational notes.
Week 92 hours + labs
LeetCode Problem Solving & Interview Prep: Algorithmic Complexity and Big-O Analysis (Sprint 2)
  • Analyze the principles of LeetCode Problem Solving & Interview Prep: Domain Foundations and Problem Definition (Sprint 2) and link them to course outcomes through progressive practical delivery milestones.
  • Evaluate LeetCode Problem Solving & Interview Prep: Domain Foundations and Problem Definition (Sprint 2) in a guided scenario using realistic tools, constraints, and quality gates.
  • Create trade-offs, risks, and decision points for LeetCode Problem Solving & Interview Prep: Domain Foundations and Problem Definition (Sprint 2), then record rationale for stakeholder review.
  • Defend a portfolio-ready delivery strategy memo for LeetCode Problem Solving & Interview Prep: Domain Foundations and Problem Definition (Sprint 2) with measurable success criteria and next actions.

Lab Exercise

  • Build a practical LeetCode Problem Solving & Interview Prep: Algorithmic Complexity and Big-O Analysis (Sprint 2) workflow with source-to-output transformation steps.
  • Validate LeetCode Problem Solving & Interview Prep: Algorithmic Complexity and Big-O Analysis (Sprint 2) quality and performance with objective checks and tuning updates.
  • Deliver reproducible LeetCode Problem Solving & Interview Prep: Algorithmic Complexity and Big-O Analysis (Sprint 2) outputs (dashboard/report/notebook) with run instructions.
Week 102 hours + labs
LeetCode Problem Solving & Interview Prep: Arrays, Strings, and Hashing Patterns (Sprint 2)
  • Analyze the principles of LeetCode Problem Solving & Interview Prep: Stakeholder Discovery and Requirements (Sprint 2) and link them to course outcomes through progressive practical delivery milestones.
  • Evaluate LeetCode Problem Solving & Interview Prep: Stakeholder Discovery and Requirements (Sprint 2) in a guided scenario using realistic tools, constraints, and quality gates.
  • Create trade-offs, risks, and decision points for LeetCode Problem Solving & Interview Prep: Stakeholder Discovery and Requirements (Sprint 2), then record rationale for stakeholder review.
  • Defend a portfolio-ready delivery strategy memo for LeetCode Problem Solving & Interview Prep: Stakeholder Discovery and Requirements (Sprint 2) with measurable success criteria and next actions.

Lab Exercise

  • Design and execute a concrete LeetCode Problem Solving & Interview Prep: Arrays, Strings, and Hashing Patterns (Sprint 2) build in LeetCode Problem Solving & Interview Prep with a clear acceptance checklist.
  • Validate LeetCode Problem Solving & Interview Prep: Arrays, Strings, and Hashing Patterns (Sprint 2) with objective tests and quality controls before review.
  • Deliver LeetCode Problem Solving & Interview Prep: Arrays, Strings, and Hashing Patterns (Sprint 2) artifacts with reproducible steps and operational notes.
Week 112 hours + labs
LeetCode Problem Solving & Interview Prep: Linked Lists, Stacks, Queues, and Heaps (Sprint 2)
  • Analyze the principles of LeetCode Problem Solving & Interview Prep: Process Mapping and Workflow Design (Sprint 2) and link them to course outcomes through progressive practical delivery milestones.
  • Evaluate LeetCode Problem Solving & Interview Prep: Process Mapping and Workflow Design (Sprint 2) in a guided scenario using realistic tools, constraints, and quality gates.
  • Create trade-offs, risks, and decision points for LeetCode Problem Solving & Interview Prep: Process Mapping and Workflow Design (Sprint 2), then record rationale for stakeholder review.
  • Defend a portfolio-ready delivery strategy memo for LeetCode Problem Solving & Interview Prep: Process Mapping and Workflow Design (Sprint 2) with measurable success criteria and next actions.

Lab Exercise

  • Design and execute a concrete LeetCode Problem Solving & Interview Prep: Linked Lists, Stacks, Queues, and Heaps (Sprint 2) build in LeetCode Problem Solving & Interview Prep with a clear acceptance checklist.
  • Validate LeetCode Problem Solving & Interview Prep: Linked Lists, Stacks, Queues, and Heaps (Sprint 2) with objective tests and quality controls before review.
  • Deliver LeetCode Problem Solving & Interview Prep: Linked Lists, Stacks, Queues, and Heaps (Sprint 2) artifacts with reproducible steps and operational notes.
Week 122 hours + labs
LeetCode Problem Solving & Interview Prep: Trees, Graphs, and Traversal Strategies (Sprint 2)
  • Analyze the principles of LeetCode Problem Solving & Interview Prep: Decision Frameworks and Trade-offs (Sprint 2) and link them to course outcomes through progressive practical delivery milestones.
  • Evaluate LeetCode Problem Solving & Interview Prep: Decision Frameworks and Trade-offs (Sprint 2) in a guided scenario using realistic tools, constraints, and quality gates.
  • Create trade-offs, risks, and decision points for LeetCode Problem Solving & Interview Prep: Decision Frameworks and Trade-offs (Sprint 2), then record rationale for stakeholder review.
  • Defend a portfolio-ready delivery strategy memo for LeetCode Problem Solving & Interview Prep: Decision Frameworks and Trade-offs (Sprint 2) with measurable success criteria and next actions.

Lab Exercise

  • Design and execute a concrete LeetCode Problem Solving & Interview Prep: Trees, Graphs, and Traversal Strategies (Sprint 2) build in LeetCode Problem Solving & Interview Prep with a clear acceptance checklist.
  • Validate LeetCode Problem Solving & Interview Prep: Trees, Graphs, and Traversal Strategies (Sprint 2) with objective tests and quality controls before review.
  • Deliver LeetCode Problem Solving & Interview Prep: Trees, Graphs, and Traversal Strategies (Sprint 2) artifacts with reproducible steps and operational notes.

Capstone Projects

Project 1: LeetCode Problem Solving & Interview Prep Foundation Build

Deliver a concrete foundation implementation covering the first phase of the curriculum.

  • Implement and validate LeetCode Problem Solving & Interview Prep: Algorithmic Complexity and Big-O Analysis (Sprint 1).
  • Integrate LeetCode Problem Solving & Interview Prep: Arrays, Strings, and Hashing Patterns (Sprint 1) with reusable workflow standards.
  • Publish evidence for LeetCode Problem Solving & Interview Prep: Linked Lists, Stacks, Queues, and Heaps (Sprint 1) with test and quality artifacts.

Project 2: LeetCode Problem Solving & Interview Prep Integrated Systems Build

Combine mid-program competencies into a production-style integrated workflow.

  • Build an end-to-end flow around LeetCode Problem Solving & Interview Prep: Dynamic Programming and Memoization (Sprint 1) and LeetCode Problem Solving & Interview Prep: Greedy Algorithms and Backtracking (Sprint 1).
  • Add controls, observability, and rollback paths for reliability.
  • Document architecture decisions and trade-offs tied to LeetCode Problem Solving & Interview Prep: Binary Search and Two-Pointer Methods (Sprint 1).

Project 3: LeetCode Problem Solving & Interview Prep Capstone Delivery

Ship a portfolio-ready capstone with measurable outcomes and stakeholder-ready presentation.

  • Deliver a complete implementation centered on LeetCode Problem Solving & Interview Prep: Algorithmic Complexity and Big-O Analysis (Sprint 2).
  • Validate readiness for LeetCode Problem Solving & Interview Prep: Arrays, Strings, and Hashing Patterns (Sprint 2) using objective acceptance checks.
  • Present final defense and roadmap based on LeetCode Problem Solving & Interview Prep: Linked Lists, Stacks, Queues, and Heaps (Sprint 2) outcomes.