Keerti-dsa

Learn DSA by keertipurswani with comprehensive video tutorials and hands-on projects.

Keerti Purswani

Meet Your Instructor: Keerti-Purswani

Keerti Purswani is a dynamic computer science educator and founder of Educosys, specializing in data structures, algorithms, system design, and generative AI education. With a passion for making complex technical concepts accessible, Keerti has helped thousands of students excel in competitive programming, technical interviews, and real-world software engineering challenges. Her comprehensive approach combines hands-on practice with deep conceptual understanding, preparing students for careers at top tech companies. Keerti's journey in education began with a recognition that many students struggle with the gap between academic computer science and the practical skills required in industry. Having experienced the challenges of technical interviews and competitive programming herself, Keerti understood the need for a learning approach that goes beyond surface-level understanding to build true expertise. This insight led to the creation of Educosys, a platform dedicated to providing comprehensive, industry-relevant computer science education. Keerti's expertise in data structures and algorithms is particularly noteworthy. Her courses cover everything from fundamental data structures like arrays, linked lists, stacks, and queues to advanced topics including trees, graphs, heaps, and hash tables. She teaches not just how to implement these structures, but more importantly, when and why to use each one, helping students develop the intuition needed to solve complex problems efficiently. Her algorithmic thinking courses focus on pattern recognition, problem-solving strategies, and optimization techniques that are essential for technical interviews and competitive programming. Keerti's system design courses are comprehensive and practical, covering both High-Level Design (HLD) and Low-Level Design (LLD). She teaches students how to design scalable systems, handle millions of users, implement efficient caching strategies, manage databases, and ensure system reliability and availability. Her courses include real-world case studies from top tech companies, helping students understand how industry leaders solve complex design challenges. The High-Level Design (HLD) component of Keerti's system design curriculum focuses on architecture, scalability, load balancing, and distributed systems. Students learn to design systems that can handle massive traffic, implement microservices architectures, and make critical design decisions about technology stacks and infrastructure. The Low-Level Design (LLD) portion emphasizes detailed design of components, object-oriented design principles, design patterns, and writing clean, maintainable code. Keerti's innovative approach to teaching generative AI reflects the cutting-edge nature of her curriculum. She helps students understand the fundamentals of machine learning and artificial intelligence, with a particular focus on generative models, natural language processing, and AI application development. Her courses bridge the gap between theoretical AI concepts and practical implementation, enabling students to build real-world AI applications. What sets Keerti apart is her ability to make complex topics accessible without oversimplifying them. She breaks down difficult concepts into digestible parts, uses visual aids and diagrams to illustrate abstract ideas, and provides numerous examples and practice problems to reinforce learning. Her teaching style is interactive and engaging, encouraging students to ask questions and participate actively in the learning process. Keerti's courses are designed with career preparation in mind. She understands that success in technical interviews requires not just knowledge, but also confidence and problem-solving skills. Her interview preparation modules include mock interviews, common interview questions, problem-solving strategies, and tips for communicating technical solutions effectively. Many of her students have successfully secured positions at top tech companies, crediting Keerti's comprehensive preparation for their success. Beyond technical skills, Keerti emphasizes the importance of continuous learning and staying updated with industry trends. She regularly updates her courses to include the latest technologies and best practices, ensuring that students learn skills that are immediately relevant in today's job market. Her commitment to student success extends beyond course delivery, with active community support, doubt-clearing sessions, and personalized mentorship. Keerti's impact on the Indian computer science education landscape is significant. Through Educosys, she has helped thousands of students transform their careers, from struggling with basic concepts to excelling in competitive programming and securing positions at prestigious tech companies. Her dedication to making quality education accessible, combined with her exceptional teaching skills and deep industry knowledge, makes Keerti one of the most respected and effective educators in the field of computer science and software engineering education.

Data Structures and AlgorithmsSystem Design (HLD & LLD)Generative AI & Machine Learning

Experience: 10+ years

Students Helped: 50,000+

Specialization: DSA, System Design & AI Education

Course Overview

This comprehensive course is designed to take you from foundational concepts to advanced implementation in dsa, system design & ai education. You'll learn through hands-on project-based learning with live coding sessions, real-world case studies, and comprehensive doubt-clearing support, building real-world projects that demonstrate your skills and enhance your portfolio.

Whether you're looking to start a new career in technology or advance your current skills, this course provides the structured learning path and practical experience you need to succeed in today's competitive tech industry.

Course Curriculum

Master fundamental data structures: arrays, linked lists, stacks, queues
Understand tree and graph algorithms and traversals
Learn sorting and searching algorithms with time complexity analysis
Master dynamic programming and greedy algorithms
Solve competitive programming problems efficiently
Understand space-time complexity trade-offs in algorithm design

Course Content

1

Day 1 - Recursion Basics

Video 1
2

Day 2 - Recursion

Video 2
3

Day 3 - Recursion

Video 3
4

Day 4 - Recursion

Video 4
5

Day 5 - Introduction to DP

Video 5
6

Day 6 - DP on Strings

Video 6
7

Day 7 - DP - Edit Distance, Subset Sum

Video 7
8

Day 8 - Wildcard Matching

Video 8
9

Day 9 - Intro to Gap Method

Video 9
10

Day 10 - Gap Method

Video 10
11

Day 11 - DP Practise

Video 11
12

Day 12 - DP

Video 12
13

Day 13 - Trees

Video 13
14

Day 14 - Trees

Video 14
15

Day 15 - BST

Video 15
16

Day 16 - Trees

Video 16
17

Day 17 - Basics of Graphs

Video 17
18

Day 18 - Graphs

Video 18
19

Day 19 - Graphs

Video 19
20

Day 20 - Graphs

Video 20
21

Day 21 - Graph Algos

Video 21
22

Day 22 - Graph Algos

Video 22
23

Day 23 - Graph Algos

Video 23
24

Day 24 - Finale

Video 24
25

Day 1 - Recursion Basics

Video 25
26

Day 2 - Recursion

Video 26
27

Day 3 - Recursion

Video 27
28

Day 4 - Recursion

Video 28
29

Day 5 - Introduction to DP

Video 29
30

Day 6 - DP on Strings

Video 30
31

Day 7 - DP - Edit Distance, Subset Sum

Video 31
32

Day 8 - Wildcard Matching

Video 32
33

Day 9 - Intro to Gap Method

Video 33
34

Day 10 - Gap Method

Video 34
35

Day 11 - DP Practise

Video 35
36

Day 12 - DP

Video 36
37

Day 13 - Trees

Video 37
38

Day 14 - Trees

Video 38
39

Day 15 - BST

Video 39
40

Day 16 - Trees

Video 40
41

Day 17 - Basics of Graphs

Video 41
42

Day 18 - Graphs

Video 42
43

Day 19 - Graphs

Video 43
44

Day 20 - Graphs

Video 44
45

Day 21 - Graph Algos

Video 45
46

Day 22 - Graph Algos*

Video 46
47

Day 23 - Graph Algos

Video 47
48

Day 24 - Finale

Video 48
49

MeetUp (14th March)

Video 49
50

Chevvanthi and Aishwarya

Video 50
51

Umang and Mithun

Video 51
52

Renuka and Uma Mahesh

Video 52
53

Shubham Amandeep

Video 53
54

Kalindi and Uma Mahesh

Video 54

Requirements

  • Basic programming knowledge in any language (C/C++/Java/Python)
  • Understanding of basic programming concepts (variables, loops, functions)
  • Internet connection for video streaming
  • Code editor (VS Code recommended) for practice
  • Dedication to solve coding problems daily

Course Features

Lifetime Access
Certificate of Completion
Mobile and Desktop Access
Downloadable Resources
Community Support

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