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Mobile Application Training

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Zero to Master Program

Mobile App

Mobile applications have become an integral part of our daily lives, offering convenience, entertainment, and productivity on the go. With the increasing demand for mobile app development, proficiency in Data Structures and Algorithms (DSA) has become essential for software developers seeking opportunities with top product companies. Additionally, DSA knowledge is highly valued in fields such as Data Science and Machine Learning, where it forms the foundation for efficient data processing and algorithmic problem-solving. Mastering DSA can open doors to exciting career opportunities in the rapidly evolving world of mobile app development and beyond.

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4.8

30K+ Learners enrolled

60+

Hours of lectures

350+

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Curriculum

Companies

FAQ

This is where you embark on an amazing journey!

Most flexible program in the industry

Freedom to learn

Watch classes any time at your convenience

Cheat days

Catch up on the course when life is calling you elsewhere

Features that keep you going

A structured curriculum that makes learning easy

Practice code problems of varying difficulty

Engagement coach to keep you motivated

Compile & run in an integrated coding environment

Get doubts resolved in 30 mins

1:1 sessions over voice call & chat with our skilled teaching assistants

Industry leading mentors to help you grow

1:1 Mock interviews with resume and career guidance

Structured feedback to make you better

Get a chance to be referred to your mentors’ company

Experience a seamless job switch with hiring assistance

Skill-based hiring across all levels of experience

The results

110%

Average salary hike for mobile application

7000+

Transitions to product companies

250+

Trusted placement partners

Frequently asked but seldom read questions

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

None! Whether you’re completely new to the job field or have had some exposure, Algoxfusion Certificate is the right program for you..

You can find the ‘Get Certified’ option at the end of the Lessons in the table of contents. it will be shown only after completing all the lessons with 100% progress.

Submissions are evaluated based on criteria such as correctness, completeness, critical thinking, and adherence to instructions, typically using rubrics or grading guidelines provided by the instructor.
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Meet the faculty legends that will make you legendary

Praveen Kumar

Founder & Instructor

He holds a Bachelor’s degree in Computer Science from India’s most premier institute - IIT Delhi and a Master’s degree in Computer Science from Stanford University. He is a coding enthusiast and has worked with bigwigs like Amazon and Facebook in the past.

Karthiga

Co-Founder & Instructor

He is an expert in JavaScript & React (Front-end) and has worked on open-source projects like Firebug and Zulip. He has also served as a GCI (Google Code-In) Mentor with Zulip. In his previous role as a Software Engineer he has worked for Goibibo-MMT.

Course curriculum for the curious

CONDITIONAL STATEMENTS
Introduction to If else, Relational and logical operators, Nested conditionals
FLOWCHARTS
Introduction to flowcharts, Decision making using flowcharts, Loops, Example problems
VARIABLES AND DATA TYPES
First program, Variables and data types, Taking input, How data is stored in memory, Arithmetic Operators

PATTERNS
Introduction to patterns, Basic Patterns, Square Patterns, Triangular Patterns, Character Patterns, Reverse Triangle, Inverted patterns, Isosceles triangles
WHILE LOOPS
While loops, Flow of execution of statements in while loop, Example problems using while loop
FUNCTIONS
Introduction to functions, Working of function calling, Variables and its scope, Pass by value
FOR LOOPS
For loops, Break and Continue, increment - decrement operators

INTRODUCTION TO ARRAYS
Introduction to arrays, How arrays are stored in memory, Passing arrays to functions
SEARCHING AND SORTING
Understanding Binary Search, Selection sort, Bubble sort, Insertion sort, Merging two sorted arrays
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TIME AND SPACE COMPLEXITY
Order complexity analysis, Theoretical complexity analysis, Time complexity analysis of searching and recursive algorithms, Theoretical space complexity, Space complexity analysis of merge sort
RECURSION
Introduction to recursion, Principle of mathematical induction, Fibonacci numbers, Recursion using arrays, Recursion using strings, Recursion using 2D arrays

BASICS OF OOPS
Introduction to OOPS, Creating objects, Getters and setters, Constructors and related concepts, Inbuilt constructor and destructor, Example classes
ADVANCE CONCEPTS OF OOPS
Static members, Function overloading and related concepts, Abstraction, Encapsulation, Inheritance, Polymorphism, Virtual functions, Abstract classes, Exception handling

STACKS AND QUEUES
Introduction to stacks, Stack using arrays, Dynamic Stack class,Stack using linked list, Inbuilt stack, Queue using arrays, Dynamic queue class, Queue using linked list, Inbuilt queue
LINKED LISTS
Introduction to linked list, Inserting node in linked list, Deleting node from linked list, Midpoint of linked list, Merge two sorted linked lists, merge sort of a linked list, Reversing a linked list

BINARY SEARCH TREES
Introduction to Binary Search Trees, Searching a node in BST, BST class, Inserting and Deleting nodes in BST, Types of balanced BSTs
GENERIC TREES
Introduction to Trees, Making a tree node class, Taking a tree as input and printing, Tree traversals, Destructor for tree node class
BINARY TREES
Introduction to Binary Trees, Taking a binary tree as input and printing, Binary Tree traversals, Diameter of binary tree

PRIORITY QUEUES
Introduction to Priority Queues, Ways to implement priority queues, Introduction to heaps, Introduction to Complete Binary Trees and its implementation, Insert and Delete operations in heaps, Implementing priority queues, Heap sort, Inbuilt Priority Queue
HASHMAPS
Introduction to Hashmaps, Inbuilt Hashmap, Hash functions, Collision handling, Insert and Delete operation implementation in hashmap, Load factor, Rehashing
TRIES
Introduction to Tries, Making a Trie Node class, Insert, Search and Remove operation implementation in Tries, Types of Tries, Huffman Coding
GRAPHS
Introduction to Graphs, Graph Terminology, Graph implementation, Graph Traversals (DFS and BFS), Weighted and Directed Graphs, Minimum Spanning Trees, Cycle Detection in Graphs, Kruskal's algorithm, Prim's Algorithm, Dijkstra's algorithm

INTRODUCTION TO DYNAMIC PROGRAMMING
Introduction to Memoization, Introduction to Dynamic Programming, Fibonacci numbers using recursion, memoization and dynamic programming
APPLICATIONS OF DYNAMIC PROGRAMMING
Longest Common Subsequence (LCS) using recursion, memoization and dynamic programming, Edit distance using recursion, memoization and dynamic programming, Knapsack problem using recursion, memoization and dynamic programming
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