Instructor-led learning
Concepts are explained in live sessions with room for questions and guided practice.
Learn Data Structures and Algorithms through practical problem solving with Java, Python or C++. Master complexity analysis, arrays, linked lists, stacks, queues, hashing, trees, heaps, graphs, recursion, dynamic programming and reusable coding patterns for technical interviews and coding assessments.
Connect each course concept to a practical task, test the result and explain why the approach works.

The page focuses on verifiable training support without job or salary guarantees.
Concepts are explained in live sessions with room for questions and guided practice.
Practice the tools and workflows introduced in each module.
Use connected skills in course projects and review sessions.
Receive resume, interview and job-search guidance as applicable; outcomes are not guaranteed.
Ask the branch about current classroom and online-live batch options.
Certificate availability applies after meeting the stated course requirements.
The curriculum moves from foundations to practical application.
Guided concepts and practical exercises using Java.
Guided concepts and practical exercises using Python.
Guided concepts and practical exercises using C++.
Guided concepts and practical exercises using VS Code.
Guided concepts and practical exercises using Git / GitHub.
Progress through explanation, demonstration, guided practice and review.
Understand the concept and where it is used.
Follow an instructor-led demonstration.
Complete guided labs and assignments.
Build projects and review your approach.
Practice correctness, edge cases, complexity and optimisation.
Reusable coding patterns.
Brute-force and optimized comparisons.
Timed solve and review.
Outcomes depend on attendance, practice and completion of the assigned work.
Demonstrate this capability through exercises or project work.
Demonstrate this capability through exercises or project work.
Demonstrate this capability through exercises or project work.
Every track shares one canonical route.
Strongly typed DSA practice.
Concise algorithm practice.
STL-based interview practice.
Counselling helps choose.
Start correct, test, measure, improve and explain.
Record evidence and reasoning.
Record evidence and reasoning.
Record evidence and reasoning.
Record evidence and reasoning.
Record evidence and reasoning.
Record evidence and reasoning.
Transfer reasoning between problems.
Recognise when constraints suggest it.
Recognise when constraints suggest it.
Recognise when constraints suggest it.
Recognise when constraints suggest it.
Recognise when constraints suggest it.
Recognise when constraints suggest it.
Recognise when constraints suggest it.
Recognise when constraints suggest it.
Recognise when constraints suggest it.
Recognise when constraints suggest it.
Recognise when constraints suggest it.
Recognise when constraints suggest it.
Attend at the Nipuna Technologies Guntur centre or ask about currently available online-live options.
Door No. 6-4-35, 1st Floor, 4/1 Arundelpet, Opposite Aditya Grand Hotel, Guntur, Andhra Pradesh 522002
+91 79979 27111
admin@nipunatechnologies.com
Modules can be updated, reordered or disabled from the admin panel.
Solve, analyse and explain this DSA topic.
Solve, analyse and explain this DSA topic.
Solve, analyse and explain this DSA topic.
Solve, analyse and explain this DSA topic.
Solve, analyse and explain this DSA topic.
Solve, analyse and explain this DSA topic.
Solve, analyse and explain this DSA topic.
Solve, analyse and explain this DSA topic.
Solve, analyse and explain this DSA topic.
Solve, analyse and explain this DSA topic.
Solve, analyse and explain this DSA topic.
Solve, analyse and explain this DSA topic.
Solve, analyse and explain this DSA topic.
Solve, analyse and explain this DSA topic.
Solve, analyse and explain this DSA topic.
Solve, analyse and explain this DSA topic.
Solve, analyse and explain this DSA topic.
Solve, analyse and explain this DSA topic.
Yes. A programming refresher, algorithms and complexity come first.
Choose Java, Python or C++.
Basic familiarity is helpful; a refresher is included.
Yes.
Yes.
Yes.
Yes, according to the active batch plan.
No. DSA is a separate course.
AI may support review; learners must solve and verify their own code.
No.
Ask about the current trainer, timetable, mode, fee and demo availability.