Tech Interview 101 - From DSA to System Design for Working Professionals
Why do Professionals in Software Engineering often struggle to create efficient and scalable systems?
Well, the solution lies in integrating DSA principles effectively into real-world System Design scenarios. If you want to learn this in order to crack the Tech Giants, register now!!!
For further queries reach us via Call/WhatsApp on : +91-8528033938
Course Overview
Course Highlights:
- High-Paying Opportunities: Prepare for top positions at renowned tech giants like Microsoft, Uber, Amazon, etc.
- Master DSA: Enhance problem-solving, coding skills, and conceptual knowledge through live mentorship in Data Structures and Algorithms (DSA).
- System Design Expertise: Covers low-level and high-level design principles, patterns, case studies for proficiency as an architect, engineer, or lead.
- Real-World Application: Hands-on experience to tackle real-world tech challenges.
- Comprehensive Content: Curated DSA course by CEO complements system design curriculum for a holistic learning experience.
- Doubt Assistance & Contests: Personalized 1:1 live doubt-solving sessions and engaging contests to test skills.
- Optimized for Working Professionals: Designed to fit busy schedules, enabling knowledge acquisition for better job opportunities.
- Career Advancement: Skills to excel as a Software Developer, Tech Lead, or Architect, with exciting career opportunities.
Complimentary Access:
- DSA Self-Paced Course: By Sandeep Jain, CEO & Founder @ GeeksforGeeks
- Low-Level Design: By Siddharth Hazra (SDE at GeeksforGeeks)
- High-Level Design: By Jay Chakra (Senior Consulting Engineer at MongoDB)
Ideal For:
- Working professionals preparing for a job switch
NOTE - All sales are final, no refunds will be provided for offline and live courses.However, if needed, participants may be allowed to shift to a different batch of the same course, subject to availability and course policies (from 1st June).
Course Content
Algorithms and Data Structures:
- Time and space complexity analysis.
- Arrays, linked lists, stacks, queues.
Key Techniques and Applications:
- Sorting and searching algorithms.
- Binary trees, binary search trees, and basic traversals.
Advanced Data Structures and Algorithms:
- Greedy algorithms
- Heap data structure, heap sort, and priority queues.
Graphs and Advanced Algorithms:
- Graph representations and traversal (BFS, DFS)
- Implementing MST (Prim's, Kruskal's) and SSSP (Dijkstra, Bellman-Ford).
Advanced Algorithms:
- Advanced graph algorithms (e.g., Dijkstra, Floyd-Warshall).
- Divide and Conquer strategies.
- Dynamic Programming (Memoization, Tabulation).
Advanced Data Structures:
- Advanced trees (AVL, Red-Black).
- Advanced hashing and collision resolution.
- Advanced searching techniques (Interpolation, Exponential).
An extensive interview-centric live course designed by industry experts to help you ace the interview of your dreams. We will help you enhance your conceptual knowledge about DSA and improve your problem-solving and coding skills.
For more information, please go here
OOP Fundamentals:
- OOP principles: classes, objects, encapsulation, inheritance, and polymorphism.
- Advanced OOP concepts: operator overloading, association, and composition.
Design Principles & Patterns:
- SOLID principles and key design patterns: Strategy, Observer, Factory, Singleton, and more.