Problem Solving for Teens
The thinking behind the code: logic, data structures and algorithms taught until a teenager can face an unseen problem and actually solve it.
Syllabus updated August 2026
Recordings are free with a Google sign-in. These recordings show how we teach, not the exact syllabus of this course.
How long this course takes
This course runs 10-12 months (44-52 weeks) at 2 live classes/week + 3-5 hours practice. The range allows for background and pace: a complete beginner uses the full span, and a student with prior knowledge finishes sooner. The syllabus below is planned to the shorter end, with margin kept for revision.
For personalised duration planning, call +91 91233 66161 and we'll map a schedule to your goals.
At a glance
- Who it is for
- Teenagers 13-18; no prior experience needed. Age: 13-18 (teenagers).
- Prerequisites
- None. Everything is taught from the first line
- Format
- Live, interactive classes with a real instructor, never pre-recorded videos. Live classes run about one hour.
- Language
- English or Hindi, depending on the batch.
- Duration
- 10-12 months (44-52 weeks)
- Weekly commitment
- 2 live classes/week + 3-5 hours practice
- Class size
- Group batches of 5 to 10 students, mini batches of 3 to 4, or 1-on-1.
- Certificate
- Certificate from Modern Age Coders, awarded on passing the final exam
- Watch first
- Free recordings of real classes for ages 13 and up, free with a Google sign-in. These recordings show how we teach, not the exact syllabus of this course.
- Live demo
- Optional. Enroll directly on this page, or book a free live demo if you would like to meet a mentor first.
How we teach
Deep understanding. Real projects. Expert guidance.
Learn coding, AI and maths through careful explanations, practical demonstrations, and hands-on problem-solving. Our instructors guide you from the foundations to advanced ideas, helping you understand what happens, why it happens, and how to build it yourself.
You will explore concepts step by step, write and improve code, investigate mistakes, ask questions, and apply your knowledge to meaningful projects. Lessons are designed around active participation, thoughtful feedback, and growing independence.
Expert-led live teaching, with practical participation built into every lesson.
- Students explain their thinking.
- Instructors demonstrate, then guide practice.
- Learners code, solve, or build during lessons.
- Questions and misconceptions get attention.
- Assignments receive useful feedback.
- Progress is checked before advancing.
Ready to Master Problem Solving for Teens: Logic, Data Structures & Algorithms?
Choose your plan and start your journey into the future of technology today.
Rated 4.9 across 547 Google reviews. Enroll directly, or take a free live demo first if you like. No card needed for the demo. Monthly billing, cancel anytime.
International Students (Outside India)
Billed monthly in US dollars, the same price in every country. Contact us with any questions.
Program Overview
The hardest, most valuable thing in programming is not syntax, it is looking at a problem you have never seen and finding your way to a solution. This live online course builds exactly that in a teenager, step by step and at a teen pace: logic and programming foundations first, conditionals, loops, functions, the core structures (arrays, strings, hash maps, stacks, queues, linked lists, recursion), then the real data structures and algorithms, trees, heaps, graphs, sorting and searching, algorithm-design paradigms, and finally dynamic programming and the problem-solving techniques that separate confident solvers from stuck ones. Every topic is taught through problems, not lectures, and the emphasis is always on the pattern, so a new problem is solvable, not a memorized answer. A finale month builds a problem-solving portfolio and sits a final exam.
The pace is honest and teen-friendly: ten teaching months at two live classes a week plus three to five hours of practice, with two more in hand. Problem sets after every class, monthly mixed reviews, phase exams, and a final exam that decides the certificate with a free retest.
What Makes This Program Different
- Taught through problems, not lectures: teens solve from day one
- Patterns over memorization: the skill is solving unseen problems
- A real teen pace: depth without the burnout of an adult bootcamp
- The foundation serious students build on: olympiads, contests and later interviews
- An honest 10-month arc with 2 months in hand
- Real assessment: weekly problem sets, monthly mixed reviews, phase exams and a final exam with a free retest
Your Learning Journey
Career Progression
Detailed Course Curriculum
Explore the complete week-by-week breakdown of what you'll learn in this comprehensive program.
Topics Covered
- What is problem solving? Why it matters for your future
- How computers think: Binary and logic gates
- Introduction to algorithms in daily life
- Setting up your coding environment (VS Code)
- Introduction to Python: Why Python for beginners
- Your first program: Hello World explained
- Variables and data types: int, float, string, boolean
- Input and output operations
- Comments and code readability
- Basic arithmetic operations
- Type conversion and casting
- Problem solving methodology: UMPIRE (Understand, Match, Plan, Implement, Review, Evaluate)
Projects You Build
- Calculator for homework problems
- Age calculator with fun facts
- Simple chatbot that responds to inputs
Practice & Assignments
Daily: 10 basic problems on HackerRank Easy
Topics Covered
- If-else statements: Making decisions in code
- Comparison operators: ==, !=, <, >, <=, >=
- Logical operators: and, or, not
- Nested conditions and elif chains
- Switch case alternatives in Python
- Ternary operators for clean code
- Common patterns: min/max, odd/even, divisibility
- Edge cases and boundary conditions
- Debugging techniques with print statements
- Flowcharts for visualizing logic
- Truth tables and boolean algebra basics
- Real-world applications: Game logic, grading systems
Projects You Build
- Grade calculator with letter grades
- Rock-Paper-Scissors game
- Simple adventure game with choices
- Password strength checker
Practice & Assignments
Solve 30 conditional logic problems on CodeChef
Topics Covered
- For loops: Counting and ranges
- While loops: Conditional repetition
- Loop control: break and continue
- Nested loops and patterns
- Common patterns: Triangles, pyramids, diamonds
- Iteration through sequences
- Loop optimization techniques
- Infinite loops and how to avoid them
- Do-while concept using Python
- Enumerate and range functions
- List comprehensions introduction
- Time complexity introduction: Big O notation basics
Projects You Build
- Pattern printer (20+ patterns)
- Multiplication table generator
- Prime number checker and generator
- Number guessing game with attempts
Practice & Assignments
Complete 40 loop problems on LeetCode Easy
Topics Covered
- Functions: Why break code into pieces?
- Function definition and calling
- Parameters vs arguments
- Return values and void functions
- Scope: Local vs global variables
- Default parameters and keyword arguments
- Recursive thinking introduction
- Simple recursion: Factorial, Fibonacci
- Helper functions and code organization
- Lambda functions basics
- Function documentation and docstrings
- Testing functions with assert statements
Projects You Build
- Math helper library (GCD, LCM, factorial)
- Text analyzer (word count, character frequency)
- Recursive art generator
- Unit converter with functions
Practice & Assignments
Build 25 reusable functions for common tasks
Topics Covered
- Lists in Python: Dynamic arrays explained
- Creating and initializing lists
- Indexing and slicing operations
- List methods: append, insert, remove, pop
- List iteration patterns
- 2D lists (matrices) basics
- List comprehensions deep dive
- Common operations: reverse, sort, search
- Memory and lists: References vs copies
- Shallow vs deep copy
- Time complexity of list operations
- When lists are not optimal
Projects You Build
- Student gradebook system
- Tic-tac-toe game
- Matrix operations calculator
- Todo list manager
Practice & Assignments
Solve 50 array problems on various platforms
Topics Covered
- Strings as character arrays
- String immutability in Python
- String methods: split, join, strip, replace
- String formatting techniques
- Regular expressions basics
- Pattern matching in strings
- Palindromes and anagrams
- String manipulation algorithms
- ASCII values and character arithmetic
- Unicode and encoding basics
- String building efficiency
- Common string problem patterns
Projects You Build
- Word game (Hangman/Wordle clone)
- Text encryption/decryption tool
- Palindrome checker with multiple rules
- String parser for math expressions
Practice & Assignments
Master 40 string manipulation problems
Topics Covered
- Dictionary/HashMap concept
- Key-value pairs and hashing basics
- Dictionary operations: add, update, delete
- Iterating through dictionaries
- Nested dictionaries
- Sets and set operations
- Union, intersection, difference
- When to use sets vs lists
- Frequency counting patterns
- Two-pointer technique introduction
- Sliding window basics
- Counter and defaultdict
Projects You Build
- Phone book application
- Word frequency analyzer
- Inventory management system
- Duplicate finder tool
Practice & Assignments
Solve 35 hashmap/set problems
Topics Covered
- Algorithm analysis: Time and space
- Big O notation deep dive
- Best, average, worst case analysis
- Linear search implementation
- Binary search on sorted arrays
- Bubble sort understanding
- Selection sort algorithm
- Insertion sort and when to use it
- Counting sort for specific cases
- Algorithm visualization techniques
- Debugging complex algorithms
- Introduction to greedy algorithms
Projects You Build
- Sorting visualizer with animations
- Search engine for local files
- Algorithm complexity analyzer
- Custom sorting for specific data
Practice & Assignments
Implement and optimize 10 basic algorithms
Topics Covered
- Stack data structure and LIFO principle
- Stack implementation using list
- Stack applications: Parentheses matching
- Expression evaluation using stacks
- Queue data structure and FIFO principle
- Queue implementation methods
- Circular queue concept
- Deque (double-ended queue)
- Priority queue introduction
- Real-world applications of stacks/queues
- Monotonic stack patterns
- BFS preview with queues
Projects You Build
- Browser history navigator
- Expression calculator with precedence
- Task scheduler with priorities
- Undo-redo functionality
Practice & Assignments
Master 30 stack/queue problems
Topics Covered
- Recursion deep dive: How it really works
- Call stack and recursion visualization
- Base case and recursive case design
- Multiple recursion: Fibonacci trees
- Recursion vs iteration trade-offs
- Memoization introduction
- Backtracking paradigm explained
- N-Queens problem approach
- Sudoku solver logic
- Permutations and combinations
- Subset generation algorithms
- Pruning in backtracking
Projects You Build
- Sudoku solver with GUI
- N-Queens visualizer
- Maze solver with path finding
- Permutation generator tool
Practice & Assignments
Solve 25 recursion/backtracking problems
Topics Covered
- Number theory basics: Primes, factors
- GCD and LCM algorithms (Euclidean)
- Modular arithmetic and properties
- Fast exponentiation (Binary exponentiation)
- Sieve of Eratosthenes for primes
- Combinatorics: nCr, nPr calculations
- Probability basics in programming
- Geometric algorithms introduction
- Matrix operations and applications
- Number systems and conversions
- Bit manipulation preview
- Mathematical proof techniques
Projects You Build
- Prime factorization tool
- Probability simulator
- Geometric calculator
- Cryptography basics implementation
Practice & Assignments
Solve 40 math-based programming problems
Topics Covered
- Linked list concept and need
- Node structure and pointers
- Singly linked list implementation
- Insertion: Beginning, end, middle
- Deletion operations
- Searching in linked lists
- Reversing a linked list
- Detecting cycles (Floyd's algorithm)
- Doubly linked lists
- Circular linked lists
- Linked list vs array comparison
- Common interview patterns
Projects You Build
- Music playlist manager
- Train route simulator
- Memory manager simulation
- LRU cache basic implementation
Practice & Assignments
Implement 20 linked list operations
Topics Covered
- Project planning and design
- Algorithm selection strategies
- Code structure and organization
- Testing and debugging approaches
- Documentation best practices
Projects You Build
- MAJOR PROJECT: Console-based puzzle game platform
- Include: Multiple game modes, scoring system, leaderboard
- Alternative: Algorithm visualizer web app
- Alternative: Competitive programming practice tool
Assessment
Phase 1 exam: a practical build defended live, plus a written paper mixing this phase with everything before it
Topics Covered
- Tree terminology: Root, leaf, height, depth
- Binary tree structure and properties
- Tree representation methods
- Tree traversals: Inorder, Preorder, Postorder
- Level order traversal (BFS on trees)
- Recursive tree algorithms
- Tree construction from traversals
- Binary tree properties and validation
- Complete and perfect binary trees
- Tree serialization and deserialization
- Common tree patterns
- Parent pointers and their uses
Projects You Build
- Family tree visualizer
- Expression tree evaluator
- Directory structure navigator
- Tree-based calculator
Practice & Assignments
Solve 40 binary tree problems
Topics Covered
- BST property and invariants
- Insertion in BST
- Searching efficiently in BST
- Deletion cases in BST
- Inorder predecessor and successor
- Minimum and maximum finding
- BST validation algorithms
- Balanced vs unbalanced BSTs
- AVL trees introduction
- Red-Black trees concept
- Self-balancing importance
- BST to sorted array conversions
Projects You Build
- Dictionary with BST backend
- Autocomplete system
- Range query processor
- Database index simulator
Practice & Assignments
Master 35 BST problems
Topics Covered
- Merge sort: Divide and conquer
- Quick sort and partitioning
- Heap sort introduction
- Counting sort deep dive
- Radix sort for integers
- Bucket sort applications
- Sorting algorithm comparison
- Stability in sorting
- External sorting basics
- Partial sorting techniques
- Custom comparators
- Sorting in linear time
Projects You Build
- Sorting algorithm race visualizer
- Large file sorter
- Leaderboard system
- Multi-criteria sorting tool
Practice & Assignments
Implement and optimize 15 sorting variations
Topics Covered
- Heap data structure concept
- Max heap and min heap properties
- Heap implementation with arrays
- Heapify operation (sift up/down)
- Building heap from array
- Priority queue operations
- Heap sort algorithm
- K-th largest/smallest problems
- Median finding with two heaps
- Merge K sorted arrays
- Dijkstra's algorithm preview
- Custom priority functions
Projects You Build
- Task scheduler with priorities
- Emergency room triage system
- Event simulation system
- Real-time median tracker
Practice & Assignments
Solve 30 heap/priority queue problems
Topics Covered
- Trie data structure motivation
- Trie node structure
- Insert and search in trie
- Prefix search and autocomplete
- Word dictionary with wildcards
- Longest common prefix
- String matching algorithms
- KMP algorithm basics
- Rabin-Karp rolling hash
- Z-algorithm introduction
- Suffix arrays concept
- Applications in text processing
Projects You Build
- Spell checker implementation
- T9 predictive text
- Word search puzzle solver
- DNA sequence matcher
Practice & Assignments
Build 20 trie-based solutions
Topics Covered
- Graph theory introduction
- Graph terminology: Vertices, edges, degree
- Directed vs undirected graphs
- Weighted vs unweighted graphs
- Graph representations: Adjacency matrix
- Adjacency list representation
- Edge list representation
- Graph properties: Connected, cyclic
- Special graphs: Trees, DAGs, complete
- Bipartite graphs
- Graph coloring basics
- Real-world graph applications
Projects You Build
- Social network analyzer
- City map navigator
- Game state explorer
- Dependency resolver
Practice & Assignments
Model 15 real-world problems as graphs
Topics Covered
- Depth-First Search (DFS) deep dive
- DFS applications: Path finding, cycle detection
- Breadth-First Search (BFS) mastery
- BFS applications: Shortest path, level order
- Connected components finding
- Topological sorting with DFS
- Kahn's algorithm for topological sort
- Detecting cycles in directed graphs
- Strongly connected components intro
- Bridge finding in graphs
- Articulation points
- Graph traversal optimizations
Projects You Build
- Maze generator and solver
- Course prerequisite validator
- Island counter in grid
- Web crawler simulator
Practice & Assignments
Solve 40 graph traversal problems
Topics Covered
- Shortest path problem variants
- Dijkstra's algorithm in detail
- Implementation with priority queue
- Bellman-Ford for negative weights
- Floyd-Warshall all-pairs shortest path
- A* search algorithm basics
- Shortest path in unweighted graphs
- Path reconstruction techniques
- Single source vs all-pairs
- Handling negative cycles
- Applications in real world
- Optimizations and variations
Projects You Build
- GPS navigation system
- Network routing simulator
- Game pathfinding AI
- Flight connection finder
Practice & Assignments
Implement 5 shortest path variations
Topics Covered
- Spanning tree concept
- Minimum spanning tree (MST) problem
- Kruskal's algorithm with union-find
- Prim's algorithm implementation
- Union-Find data structure deep dive
- Path compression optimization
- Union by rank optimization
- MST uniqueness
- Maximum spanning tree
- Applications: Network design, clustering
- Steiner tree introduction
- Online MST algorithms
Projects You Build
- Network cable optimizer
- Cluster analysis tool
- Maze generator using MST
- Circuit board router
Practice & Assignments
Solve 20 MST and Union-Find problems
Topics Covered
- Brute force and when it's okay
- Greedy algorithm design
- Proving greedy correctness
- Divide and conquer mastery
- Transform and conquer
- Decrease and conquer
- Problem reduction techniques
- Algorithm paradigm selection
- Hybrid approaches
- Approximation algorithms intro
- Randomized algorithms basics
- Online vs offline algorithms
Projects You Build
- Algorithm strategy selector
- Greedy algorithm visualizer
- Problem classifier tool
- Algorithm comparison framework
Practice & Assignments
Apply different paradigms to 30 problems
Topics Covered
- Space-time tradeoffs
- Memory optimization techniques
- Cache-friendly algorithms
- Bit manipulation for space saving
- Rolling arrays technique
- In-place algorithms
- Stream processing algorithms
- External memory algorithms
- Parallel algorithm basics
- MapReduce introduction
- Distributed algorithms overview
- Quantum algorithms preview
Projects You Build
- Memory-efficient data processor
- Stream analytics engine
- Large data sorter
- Optimization analyzer tool
Practice & Assignments
Optimize 20 solutions for space/time
Topics Covered
- Test case design strategies
- Edge case identification
- Stress testing techniques
- Random test generation
- Debugging complex algorithms
- Using debuggers effectively
- Print debugging strategies
- Assertion-based debugging
- Performance profiling
- Memory leak detection
- Code coverage analysis
- Continuous testing practices
Projects You Build
- Test case generator framework
- Algorithm debugger tool
- Performance profiler
- Bug tracker system
Practice & Assignments
Debug 30 algorithmic bugs
Assessment
Phase 2 exam: a practical build defended live, plus a written paper mixing this phase with everything before it
Topics Covered
- Dynamic programming introduction
- Overlapping subproblems concept
- Optimal substructure property
- Memoization (top-down approach)
- Tabulation (bottom-up approach)
- Space optimization in DP
- 1D DP problems: Fibonacci, climbing stairs
- Classic problems: Coin change, rod cutting
- DP state definition
- Recurrence relation formulation
- Base cases identification
- DP vs greedy vs divide-conquer
Projects You Build
- DP problem solver framework
- Fibonacci calculator (all methods)
- Optimal game strategy simulator
- Resource allocation optimizer
Practice & Assignments
Solve 50 basic DP problems
Topics Covered
- Longest Common Subsequence (LCS)
- Longest Common Substring
- Edit distance (Levenshtein distance)
- Longest Palindromic Subsequence
- Longest Palindromic Substring
- String interleaving
- Wildcard pattern matching
- Regular expression matching
- Distinct subsequences count
- String compression DP
- Word break problems
- Palindrome partitioning
Projects You Build
- Diff tool implementation
- DNA sequence aligner
- Spell checker with corrections
- Text similarity analyzer
Practice & Assignments
Master 30 string DP problems
Topics Covered
- Grid traversal problems
- Unique paths counting
- Minimum path sum
- Maximum path sum variants
- Dungeon game type problems
- Cherry pickup problem
- Matrix chain multiplication
- Maximal rectangle in binary matrix
- Largest square in matrix
- 2D range sum queries
- DP on grids with obstacles
- Multi-dimensional DP
Projects You Build
- Pathfinding game with obstacles
- Matrix optimizer tool
- Grid-based puzzle solver
- 2D resource collector game
Practice & Assignments
Solve 35 grid DP problems
Topics Covered
- 0/1 Knapsack problem
- Unbounded knapsack
- Fractional knapsack (greedy)
- Subset sum problem
- Partition equal subset sum
- Target sum with +/- operators
- Minimum subset sum difference
- Count of subset sum
- Coin change variations
- Rod cutting variations
- Job scheduling with profits
- Knapsack with multiple constraints
Projects You Build
- Backpack optimizer for games
- Budget allocation system
- Partition optimizer
- Investment portfolio selector
Practice & Assignments
Master all knapsack variations
Topics Covered
- DP on trees concept
- Tree diameter using DP
- Maximum path sum in tree
- Tree balancing problems
- Subtree problems with DP
- Re-rooting technique
- Binary tree cameras problem
- Tree coloring with constraints
- Maximum independent set in tree
- Tree matching problems
- DP with tree traversal
- Optimizing tree recursions
Projects You Build
- Tree optimization visualizer
- Network optimizer with DP
- Tree game strategies
- Hierarchical resource distributor
Practice & Assignments
Solve 25 tree DP problems
Topics Covered
- Bitmask representation basics
- Bit manipulation operations review
- DP with bitmask states
- Traveling Salesman with DP
- Hamiltonian path with bitmasks
- Assignment problems with masks
- Subset iteration with bitmasks
- Profile optimization technique
- Broken profile DP
- SOS (Sum over Subsets) DP
- Bitmask DP optimizations
- Memory optimization with masks
Projects You Build
- TSP solver with visualization
- Task assignment optimizer
- Board game AI with bitmask DP
- Subset analyzer tool
Practice & Assignments
Master 20 bitmask DP problems
Topics Covered
- Interval DP pattern
- Matrix chain multiplication revisited
- Burst balloons problem
- Palindrome partitioning minimum cuts
- Optimal binary search tree
- Game theory basics: Nim game
- Minimax algorithm
- Alpha-beta pruning
- Sprague-Grundy theorem
- Combinatorial game theory
- DP in game strategies
- Winning and losing positions
Projects You Build
- Game strategy analyzer
- Optimal BST builder
- Nim game variations player
- Two-player game framework
Practice & Assignments
Solve 25 interval DP and game problems
Topics Covered
- Convex hull trick
- Divide and conquer optimization
- Knuth-Yao speedup
- Monotone queue optimization
- Slope trick introduction
- CHT (Convex Hull Trick) applications
- Li Chao tree basics
- Matrix exponentiation for DP
- DP on DAGs
- Rolling hash with DP
- Digit DP technique
- DP with data structures
Projects You Build
- DP optimizer tool
- Performance comparison framework
- Convex hull visualizer
- Advanced DP solver
Practice & Assignments
Apply optimizations to 20 DP problems
Topics Covered
- Probability basics review
- Expected value concept
- DP with probabilities
- Dice problems with DP
- Random walk problems
- Markov chains introduction
- Expected value optimization
- Monte Carlo methods basics
- Linearity of expectation
- Probabilistic algorithms
- DP in stochastic processes
- Applications in games and simulations
Projects You Build
- Dice game simulator
- Probability calculator
- Random process analyzer
- Expected value optimizer
Practice & Assignments
Solve 20 probability DP problems
Topics Covered
- State space explosion problem
- State compression techniques
- Symmetry reduction
- Equivalence class reduction
- Meet in the middle technique
- Bidirectional search
- State space pruning
- Heuristic state reduction
- Memory-efficient DP
- External memory DP
- Parallel DP basics
- DP state design patterns
Projects You Build
- State space optimizer
- Memory-efficient solver
- Large-scale DP processor
- State reduction analyzer
Practice & Assignments
Optimize 15 DP solutions for memory
Topics Covered
- Points, lines, and vectors
- Distance calculations
- Orientation of three points
- Collinearity check
- Line intersection detection
- Segment intersection
- Point in polygon test
- Convex hull algorithms
- Graham scan implementation
- Jarvis march (Gift wrapping)
- Area of polygon
- Closest pair of points
Projects You Build
- Geometry calculator suite
- Convex hull visualizer
- Collision detection system
- Polygon area calculator
Practice & Assignments
Solve 30 basic geometry problems
Topics Covered
- Extended Euclidean algorithm
- Modular multiplicative inverse
- Chinese Remainder Theorem
- Fermat's little theorem
- Euler's totient function
- Miller-Rabin primality test
- Pollard rho factorization
- Baby-step giant-step
- Discrete logarithm
- Quadratic residues
- Primitive roots
- Number theoretic transforms
Projects You Build
- RSA encryption implementation
- Prime number toolkit
- Cryptographic hash function
- Number theory calculator
Practice & Assignments
Solve 25 number theory problems
Topics Covered
- Advanced permutation generation
- Combination with repetition
- Catalan numbers applications
- Stirling numbers
- Bell numbers
- Derangements
- Inclusion-exclusion principle
- Generating functions basics
- Recurrence solving techniques
- Burnside's lemma
- Polya enumeration
- Advanced counting techniques
Projects You Build
- Combinatorics calculator
- Sequence generator tool
- Counting problem solver
- Pattern enumeration system
Practice & Assignments
Master 20 combinatorics problems
Assessment
Phase 3 exam: a practical build defended live, plus a written paper mixing this phase with everything before it
Topics Covered
- Choosing the capstone: a problem-solving portfolio: a set of hard, multi-part challenges solved, documented and explained clearly
- A one-page spec: scope, milestones, stack
- Repository and skeleton ready on day one
- Instructor sign-off before the build begins
Projects You Build
- Approved capstone spec plus the running skeleton
Practice & Assignments
Pitch the spec to the batch and absorb one hard question
Topics Covered
- Two focused weeks in vertical slices
- Instructor checkpoints and honest scope cuts
- Using the whole course: every structure and technique learned, chosen to fit each problem
- Daily commits and an always-working build
Projects You Build
- The capstone, feature-complete with version control
Practice & Assignments
A working build at the end of every session
Topics Covered
- The finishing pass: edge cases, errors, documentation
- Solutions explained, not just submitted: correct, reasoned and communicated
- A README worth reading and a demo worth watching
- A full-course spiral review before the exam
Projects You Build
- The capstone shipped, documented and rehearsed
Practice & Assignments
Two mock demos, each tighter than the last
Topics Covered
- Presenting the capstone: live demo plus the hardest bug story
- The honest map of next roads: our competitive programming course for contests, and our DSA course for interview-grade depth
- Where our other courses continue the journey
Projects You Build
- Demo day presentation delivered to the batch
Assessment
FINAL EXAM: a practical build plus a written paper with questions mixed from every phase. Passing earns the certificate; falling short earns a focused revision plan and a free retest
Projects You'll Build
Build a professional portfolio with 200+ problems solved and every core structure implemented, crowned by a portfolio capstone real-world projects.
Weekly Learning Structure
Certification & Recognition
Technologies & Skills You'll Master
Comprehensive coverage of the entire modern web development stack.
Support & Resources
Career Outcomes & Opportunities
Transform your career with industry-ready skills and job placement support.
Prerequisites
Who Is This Course For?
Career Paths After Completion
Course Guarantees
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What families say
Straight from the parents and students who learn with us. Rated 4.9 across 547 Google reviews.
“Mivaan enjoys the class. He understands the concepts and completes his tasks with excitement. He started taking interest in coding… truly amazing class.”
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“What stands out most is how excited my son is before every class. He looks forward to learning, problem-solving, and sharing what he's built. I've noticed a big boost in his confidence!”
“Modern Age Coders has been a game-changer for me! I struggled to grasp IT concepts and coding before joining, but their classes transformed everything. I'm now the topper in my class and can confidently write complex programs with ease.”
“Modern Age Coder have wonderful teachers who teach in a clear, easy and practical way. The teacher boosts students' confidence, keeps them updated with technology, and inspires them to learn without hesitation.”
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Hear it from our students
Real parents and students in their own words, on our public YouTube channel.
Straight answers about Problem Solving for Teens: Logic, Data Structures & Algorithms
- Who should take this course?
- Teenagers 13-18; no prior experience needed. Age: 13-18 (teenagers). It suits teenagers who like puzzles and want to think like a programmer; students aiming for coding olympiads and contests later; teens who have dabbled in coding and want real depth.
- What will they learn and build?
- The hardest, most valuable thing in programming is not syntax, it is looking at a problem you have never seen and finding your way to a solution.
- How deeply are topics covered?
- The course runs 10-12 months (44-52 weeks) at 2 live classes/week + 3-5 hours practice, across 4 phases listed week by week in the syllabus below. A structured, well-paced curriculum taught step by step, with classwork in every session and problem sets after every class.
- Who teaches it?
- Modern Age Coders mentors, who teach the live classes themselves. You can watch them at work in the free class recordings before you decide.
- How do practice, feedback and assessment work?
- Monthly mixed reviews, cumulative phase exams, and a final exam that decides the certificate: real knowledge, real work. Doubt support between classes over WhatsApp, so you are never left stuck. A certificate you earn by passing the final exam, with a free retest after revision if needed.
- What does it cost?
- Three monthly plans: a group batch, a mini batch and 1-on-1. Prices are shown in your currency in the plans section. Monthly billing, cancel any time.
- When can classes take place?
- Live classes are scheduled around your week. Group batches meet at a fixed weekly slot; 1-on-1 students choose their own. International students are scheduled in their own timezone. Ask on WhatsApp for the current slots.
- Can I watch the teaching before deciding?
- Yes. Full recordings of real 13 and up classes are free to watch, free with a Google sign-in. These recordings show how we teach, not the exact syllabus of this course. Some classes are in English and some in Hindi; everyone follows at their own pace. Watch a class end to end, like you are in it. Sessions are interactive and each moment builds on the last.
- Can I enroll without a live demo?
- Yes. Choose a plan on this page and enroll directly; a booking or a demo is not required. A free live demo is optional, for anyone who wants to meet a mentor first. Outside India, our team confirms the plan and completes payment with you over WhatsApp, so allow a little time for that step.
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