Coding Blocks AI Academy ALGORITHMS & CONTEST PROBLEM SOLVING
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ALGORITHMS & CONTEST PROBLEM SOLVING

Competitive
Programming.
Think faster.
Solve smarter.

Go beyond familiar DSA questions. Learn to read constraints, recognise advanced patterns and build the discipline to solve unfamiliar contest problems.

Intermediate → AdvancedC++ · Algorithms · Contests
Find my classroom batch See what I’ll learn
Advanced patternsTimed practiceUpsolving habits
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Your Competitive Programming
roadmap is here.

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START HEREIntermediate → Advanced
GROW THROUGH5 focused modules
PUT IT TO WORKPractice + course projects
LEARN TOGETHERClassroom at NSP or Noida
ALGORITHMS & CONTEST PROBLEM SOLVING

Read the constraints.
Find the algorithm.

Go beyond familiar DSA problems. Learn algorithmic patterns, contest strategy and the discipline to solve unfamiliar challenges.

Choose a viable approach

Use complexity and input limits to move from brute force to an efficient solution.

Expand your algorithm toolkit

Practise number theory, range queries, graphs and dynamic programming.

Build contest consistency

Use timed problem sets, analysis and upsolving to improve your decision-making.

Your skills matter in the AI era.

Contest reasoning starts with your own understanding of constraints, proofs and complexity. Use your algorithmic foundations to evaluate suggested approaches and keep your practice aligned with the rules of each platform.

Explore the roadmap
A ROADMAP THAT BUILDS ON ITSELF

From familiar DSA
to unfamiliar challenges.

Build on programming and DSA with algorithmic patterns, contest strategy and deliberate practice.

UnderstandBuildReview
Download Competitive Programming syllabus

Complete topics, assignments and learning outcomes.

Contest foundations
  • Complexity
  • Fast input/output
  • STL
  • Constraints
  • Brute force vs optimization

Put it into practice Solve starter contest problems and write an analysis.

Translate constraints into a viable algorithm.

Core algorithm patterns
  • Binary search on answer
  • Two pointers
  • Prefix sums
  • Greedy proofs
  • Bit manipulation

Put it into practice Complete a pattern-based timed problem set.

Recognize reusable approaches to unfamiliar problems.

Number theory & combinatorics
  • GCD
  • Sieve
  • Modular arithmetic
  • Fast exponentiation
  • Counting
  • Combinatorial basics

Put it into practice Build and test reusable number theory utilities.

Solve mathematical and counting problems.

Advanced data structures & graphs
  • Fenwick trees
  • Segment trees
  • DSU
  • Shortest paths
  • MST
  • Graph traversal

Put it into practice Solve range-query and graph contest problems.

Apply efficient structures to dynamic problem settings.

Dynamic programming & contest practice
  • DP states and transitions
  • Tree DP introduction
  • String algorithms
  • Upsolving
  • Contest strategy

Put it into practice Participate in practice contests and maintain an upsolving journal.

Improve speed, reasoning and contest consistency.

CP CONCEPTS, MADE CONCRETE

Build your toolkit.
Keep your reasoning visible.

Explore project ideas that bring the Competitive Programming curriculum together. Build, test and explain the decisions behind your work.

contest_log.md
Upsolving journalProgress ✓
PROJECT IDEA · DELIBERATE PRACTICE

Contest solution portfolio

Keep a record of contest solutions and upsolves, with the approach and complexity behind each one.

C++CodeforcesUpsolving
algo_toolkit.cpp
Segment tree · DSU · SieveTested ✓
PROJECT IDEA · UNDER THE HOOD

Algorithm toolkit

Build and test your own library of segment trees, DSU and number theory utilities, ready to use in your next contest.

C++Data structuresTesting
dijkstra.cpp
A → B → D → EPath cost: 9
PROJECT IDEA · CONNECTED THINKING

Shortest path solver

Model a weighted graph, find the cheapest path with Dijkstra, and know which shortest-path algorithm fits the constraints.

C++GraphsShortest paths

Explore the project ideas. Swipe or use the arrows.

Attempt the problem. Analyse your solution. Upsolve what you missed.

Each curriculum module includes practical work to help you apply and review the idea.

Find my learning routine
YOUR CENTRE. YOUR SCHEDULE.

Choose where.
Choose when.

Choose NSP or Noida, then find the weekday or weekend schedule that fits you.

Competitive Programming at NSP, Delhi

NSP · DELHINetaji Subhash Place+91 99993 21553
NOIDA · SECTOR 2Near Sector 15 metro+91 99995 79111
Coding Blocks learner stories

Their next chapter started here.
Yours could be next.

Every career journey is different. These videos share a few stories from the Coding Blocks community.

Your journey starts with the skills you build today.

Find my Competitive Programming batch
Real people. Real milestones.

Our torchbearers.
Just getting started.

Meet Coding Blocks learners whose practice and persistence led to opportunities at leading companies.

Explore more success stories
Aditya

Aditya

Amazon
Iti Jain

Iti Jain

Twitter
Simarpreet Sikka

Simarpreet Sikka

Microsoft
Vishesh

Vishesh

Google
Jashpreet Malhotra

Jashpreet Malhotra

Walmart
Sahil Bansal

Sahil Bansal

Salesforce
Shervil Gupta

Shervil Gupta

Google
Ashanka Saha

Ashanka Saha

American Express
Sandipan Dutta

Sandipan Dutta

Amazon
Lavisha Malik

Lavisha Malik

Goldman Sachs
Manali Biswas

Manali Biswas

Microsoft
Mohit K.

Mohit K.

Amazon
BEFORE YOU START

A little clarity.
A confident next step.

Need help with your starting point or schedule?

Talk to an advisor
What should I know before joining?

This course is aimed at intermediate to advanced learners. Familiarity with C++ basics, STL and core data structures will help you focus on advanced algorithms and contest strategy.

What will I practise and build?

The roadmap covers contest foundations, core algorithm patterns, number theory & combinatorics, advanced data structures & graphs, dynamic programming & contest practice. Project ideas include Contest solution portfolio, Algorithm toolkit. Ask your advisor to confirm the work and review process for your selected batch.

How does AI fit into this course?

Contest reasoning starts with your own understanding of constraints, proofs and complexity. Use your algorithmic foundations to evaluate suggested approaches and keep your practice aligned with the rules of each platform.

How do I choose a centre and schedule?

Use the NSP and Noida selector to compare any published weekday and weekend schedules. If a centre has no listed batch, our team can help you check upcoming availability. Ask about live online options if you prefer to learn remotely.

What are the fees, duration and mentor details?

These depend on your selected batch. Review the available schedule and fee together, and ask our team to confirm the current duration, mentor allocation and enrolment details.

How do I download the syllabus?

Share your details to download the Competitive Programming syllabus. If the download doesn’t work, you can request it from our team.

YOUR NEXT CHAPTER STARTS HERE

Build your Competitive Programming skills.
Take the next step.

Start with a clear roadmap and a batch that fits your routine.

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YOUR Competitive Programming ROADMAP

Get the complete syllabus.

Share your details, verify your email, and download your curriculum.

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  3. Download
ONE MORE LOOK BEFORE YOU JOIN

Your classroom. Your batch.

Review your centre, schedule and mentor before continuing.

Competitive Programming

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