Preloader
For Students For Institutions
Learn this Course

6999

₹6999
(starts from: 15th May 2025)

7999

₹7999
(starts from: 15th May 2025)
Home
Courses
Deep Dive into Algorithms
Banner for algorithms course online at Amypo

Deep Dive into Algorithms

Sharpen your logical thinking and coding skills with our comprehensive algorithm course, designed to help you build a strong foundation in computational problem-solving. Ideal for students, developers, and competitive programmers looking to learn algorithms the right way.

Level : Advance

Duration :90 hrs

Rating : 4.8/5

Language : Java

Activate this Course for :

₹ 6999
6999
50% Offer

Activate this Course for :

₹ 7999
7999
50% Offer
Enter Details

Learn this Course

6999

₹6999

7999

₹7999
About Modules Benefits For You Certificates FAQ

Deep Dive into Algorithms Course Overview

Understand core algorithmic concepts like time complexity, recursion, and divide-and-conquer

Learn essential sorting and searching techniques with step-by-step logic

Practice with advanced topics like dynamic programming, greedy algorithms, backtracking, and graph algorithms

Work on multiple algorithm programs using languages like Python, C++, or Java

Solve real-world problems and challenges designed to boost your coding speed and logic

Deep Dive into Algorithms Course Includes

Certification After completing the courses

We Provides 24/7 Dedicated Forum Support

Accessing to AI tools to enhance coding skills

Enjoy Lifetime access to course materials

Assessments to track your progress

Deep Dive into Algorithms Course Contents

  1. 1.1.What is an Algorithm?

  2. 1.2.Characteristics of a Good Algorithm

  3. 1.3.Algorithm Design Techniques Overview

  4. 1.4.Time and Space Complexity (Big O, Omega, Theta)

  1. 2.1.Understanding Recursion with Examples

  2. 2.2.Backtracking Strategy and Use Cases

  3. 2.3.N-Queens, Sudoku Solver

  4. 2.4.Recursive Tree Visualization

  1. 3.1.Divide and Conquer Approach

  2. 3.2.Binary Search and Its Variants

  3. 3.3.Merge Sort, Quick Sort

  4. 3.4.Maximum Subarray Problem (Kadane’s Algorithm)

  1. 4.1.Greedy Strategy Concept

  2. 4.2.Activity Selection Problem

  3. 4.3.Huffman Coding

  4. 4.4.Fractional Knapsack Problem

  5. 4.5.Comparison with Dynamic Programming

  1. 5.1.Memoization and Tabulation

  2. 5.2.Fibonacci, Factorial, Subset Sum

  3. 5.3.0/1 Knapsack Problem

  4. 5.4.Coin Change Problem

  1. 6.1.Longest Common Subsequence (LCS)

  2. 6.2.Longest Increasing Subsequence (LIS)

  3. 6.3.Matrix Chain Multiplication

  4. 6.4.Rod Cutting Problem

  1. 7.1.Palindrome Partitioning

  2. 7.2.Edit Distance

  3. 7.3.Subset Partitioning

  4. 7.4.Boolean Parenthesization

  1. 8.1.Linear Search

  2. 8.2.Binary Search

  3. 8.3.Interpolation Search

  4. 8.4.Exponential Search

  5. 8.5.Ternary Search

  1. 9.1.Bubble Sort, Insertion Sort, Selection Sort

  2. 9.2.Stability and Time Complexity Analysis

  1. 10.1.Heap Sort

  2. 10.2.Counting Sort, Radix Sort, Bucket Sort

  1. 11.1.Graph Representations

  2. 11.2.BFS, DFS (Recursive and Iterative)

  3. 11.3.Connected Components

  4. 11.4.Graph Traversal Applications

  1. 12.1.Topological Sort

  2. 12.2.Cycle Detection (Directed and Undirected)

  3. 12.3.Bipartite Graph Check

  1. 13.1.Kruskal's Algorithm

  2. 13.2.Prim's Algorithm

  3. 13.3.Union-Find Data Structure

  4. 13.4.Disjoint Set Union (DSU)

  1. 14.1.Dijkstra's Algorithm

  2. 14.2.Bellman-Ford Algorithm

  3. 14.3.Floyd-Warshall Algorithm

  4. 14.4.0-1 BFS

  1. 15.1.Articulation Points and Bridges

  2. 15.2.Strongly Connected Components (Kosaraju’s Algorithm)

  3. 15.3.Tarjan’s Algorithm

  1. 16.1.Bitwise Operators

  2. 16.2.Bitmasking Problems

  3. 16.3.Subset Generation Using Bits

  4. 16.4.XOR Properties in Algorithms

  1. 17.1.Sieve of Eratosthenes

  2. 17.2.GCD and LCM (Euclidean Algorithm)

  3. 17.3.Modular Arithmetic and Exponentiation

  4. 17.4.Prime Factorization

  1. 18.1.Fixed-size and Variable-size Sliding Window

  2. 18.2.Two-pointer Applications in Arrays and Strings

  3. 18.3.Real-World Problems

  1. 19.1.Building a Trie

  2. 19.2.Word Search and Autocomplete

  3. 19.3.Prefix Matching and Counting

  4. 19.4.Advanced Trie Use Cases

  1. 20.1.Mixed Set of Algorithmic Problems

  2. 20.2.Real-life Applications

  3. 20.3.Timed Assessments and Optimization

  4. 20.4.Final Presentation

Benefits

Our Dashboard offers 1500+ coding problems to sharpen skills and prepare for company-specific interviews. Track progress, build your profile, and boost job-readiness for successful technical interviews

img

Our product provides real-time debugging assistance, allowing learners to efficiently identify and fix errors, enhancing their programming skills and understanding

img

Our integrated IDE compiler offers a unified platform for writing, executing, and debugging code efficiently. With real-time execution and instant feedback, users can test and optimize their code seamlessly.

img

we organize coding contests within the platform, offering users the opportunity to compete against peers, test their problem-solving abilities, and enhance their skills through time-bound challenges and real-world scenarios

img

We maintain a personalized profile for each user, tracking their learning progress, performance in coding problems, and achievements,It also includes a record of completed contests, certifications earned, and coding skills developed etc

img

This is one For You

Hands on training

Looking to enhance your Coding skills

Innovation Ideas

lets you create innovative solutions, explore technologies

Newbie Programmer

Budding Programmer , Wants to learn some tricks and tips

Upskilling your skills

A professional wanting to Update their skills

Gain a Competitive Edge With Our Professional Certificates

Master the latest programming languages and enhance your skill set with a recognized certificate.

unlock new career opportunities with a programming certificate

FAQ

The algorithm course covers foundational and advanced topics including recursion, sorting, searching, dynamic programming, greedy algorithms, backtracking, and graph-based logic.
Yes. You'll be solving real algorithm programs during every module, which will enhance your practical understanding and prepare you for interviews and contests.
Absolutely! This course is designed to help anyone learn algorithms in a structured and easy-to-understand way, even if you're starting from zero.
Yes, after completing all modules and assessments, you’ll receive a certificate verifying your skills in algorithmic thinking and problem-solving.
Unlike theory-heavy programs, this course is focused on real-time practice and explanation of algorithm programs, making it ideal for developers who want to learn algorithms through hands-on experience.