Learn algorithm design and problem solving Online: Free Course with AI Tutor & Certificate

You'll learn to build efficient algorithms and tackle complex programming challenges. This free 2-hour algorithms course features 40 AI-curated video lessons. You will master Big O notation, basic data structures, and advanced design techniques like dynamic programming while practicing with real-world scenarios.

2 hoursof curated lessons
Intermediatestructured level
4 projectsreal-world practice
Learning Outcomes

What you'll learn in this algorithm design and problem solving course

Five concrete outcomes you'll walk away with, each mapped to modules in the curriculum below.

Understand and apply fundamental algorithm design techniques such as divide and conquer, greedy algorithms, and dynamic programming.

Analyze and evaluate the efficiency of algorithms using Big O notation and complexity analysis.

Implement and utilize basic data structures like arrays, lists, stacks, queues, trees, and graphs.

Develop and test solutions to complex problems using effective problem-solving strategies.

Apply algorithms to real-world scenarios in computer science, data science, and artificial intelligence.

Curriculum

algorithm design and problem solving course syllabus

10 modulesstructured curriculum
40 lessonsvideo + AI-graded quiz
~2 hoursof curated content
September 2026syllabus last updated
01 Introduction to Algorithms 4 lessons · 1 hr 42 min
  • What is an Algorithm?
  • History and Importance of Algorithms
  • Basic Terminology and Concepts
  • Understanding Algorithm Efficiency
02 Basic Data Structures 4 lessons
  • Introduction to Data Structures
  • Arrays and Lists
  • Stacks and Queues
  • Trees and Graphs
03 Algorithm Design Techniques 4 lessons
  • Divide and Conquer
  • Greedy Algorithms
  • Dynamic Programming
  • Backtracking
04 Sorting Algorithms 4 lessons
  • Introduction to Sorting
  • Bubble Sort and Selection Sort
  • Insertion Sort and Merge Sort
  • Quick Sort and Heap Sort
05 Searching Algorithms 4 lessons
  • Linear Search
  • Binary Search
  • Depth-First Search (DFS)
  • Breadth-First Search (BFS)
06 Recursion and Iteration 4 lessons
  • Understanding Recursion
  • Recursive vs Iterative Solutions
  • Tail Recursion
  • Common Recursive Algorithms
07 Graph Algorithms 4 lessons
  • Graph Representation
  • Shortest Path Algorithms
  • Minimum Spanning Tree
  • Graph Traversal Techniques
08 Algorithm Analysis 4 lessons
  • Big O Notation
  • Time Complexity Analysis
  • Space Complexity Analysis
  • Best, Worst, and Average Case Analysis
09 Problem Solving Strategies 4 lessons
  • Understanding the Problem
  • Breaking Down Problems
  • Developing a Plan
  • Implementing and Testing Solutions
10 Practical Applications of Algorithms 4 lessons
  • Algorithms in Computer Science
  • Algorithms in Data Science
  • Algorithms in Artificial Intelligence
  • Real-World Problem Solving with Algorithms
Hands-On Practice

Real-world projects you'll work on

Practice the exact kind of work algorithm design and problem solving professionals do on the job.

PROJECT 01

Optimizing Delivery Routes for Amazon Using Graph Algorithms

PROJECT 02

Developing a Dynamic Pricing Model for Uber with Greedy and Dynamic Programming Techniques

PROJECT 03

Implementing a Real-Time Search Engine for Google with Advanced Sorting and Searching Algorithms

PROJECT 04

Designing a Personalized Recommendation System for Netflix Using Recursion and Iteration

Skills

Skills you'll gain

Add these to your LinkedIn profile and resume the day you finish.

Algorithm Design Big O Notation Dynamic Programming Data Structures Graph Algorithms Recursion Sorting Algorithms Problem Solving Greedy Algorithms Algorithm Analysis
Fit Check

Who should take this algorithm design and problem solving course?

And exactly what you need before starting (spoiler: almost nothing).

This course is for

  • Computer science students preparing for technical interviews or coding rounds.
  • Software developers wanting to write more efficient, scalable code.
  • Career switchers looking to build a strong foundation in algorithmic thinking.
  • Self-taught programmers aiming to master the design and analysis of algorithms.

Prerequisites

  • Basic understanding of at least one programming language like Python, Java, or C++.
  • Familiarity with foundational math and logic concepts.
  • No prior experience with advanced data structures is required.
The LearnTube Method

How learning works on LearnTube

The structure of a bootcamp, the price of free.

AI curates your path

Our AI picks the top 1% of video content for each topic and arranges it into a structured, goal-based curriculum. No more tutorial roulette.

Learn, then get quizzed

After every lesson, your AI tutor asks you a question and gives personalised feedback on your answer, so gaps get fixed immediately.

Finish with proof

Complete the course, build the capstone project, and claim a certificate recognised by 900+ hiring partners.

About This Course

A complete algorithm design and problem solving course: free, structured and job-focused

By the end of this training, you'll be able to confidently evaluate algorithmic efficiency and write code that scales. You will learn to apply fundamental algorithm design techniques like divide and conquer, greedy algorithms, and dynamic programming to solve complex computational problems. This algorithms course online guides you from the basics of 'What is an Algorithm?' through 10 structured modules, covering Basic Data Structures, Sorting Algorithms, Searching Algorithms, and Graph Algorithms.

Instead of just memorizing theory, you'll put your skills to the test with four hands-on projects. You will tackle Optimizing Delivery Routes for Amazon Using Graph Algorithms and Developing a Dynamic Pricing Model for Uber with Greedy and Dynamic Programming Techniques. You'll also work on Implementing a Real-Time Search Engine for Google with Advanced Sorting and Searching Algorithms and Designing a Personalized Recommendation System for Netflix Using Recursion and Iteration.

LearnTube makes mastering problem solving in programming highly engaging. It's built around top YouTube video lessons paired with an interactive AI tutor that tests your knowledge. After every video, you'll take a quick quiz to reinforce what you just learned. The learning experience is entirely free, and you can opt for a paid certificate upon completion to share with our network of over 900 hiring partners.

Career Outcomes

Jobs you can target after learning algorithm design and problem solving

algorithm design and problem solving is a gateway skill for some of the fastest-growing roles in tech.

Software Development Engineer
₹6-12 LPA

Designs and builds efficient software applications and systems.

Backend Developer
₹5-10 LPA

Creates and maintains server-side logic and database integrations.

Data Engineer
₹6-14 LPA

Builds scalable pipelines to process and store large datasets efficiently.

Typical entry-level salary ranges in India as of September 2026. Actual compensation varies by city, company and experience.

Certification

Earn a algorithm design and problem solving certificate employers recognise

Finish the course and claim a certificate you can share anywhere.

Your Name
Algorithm Design & Problem Solving
LT-PY-000042
12 Jul 2026
  • Learn 100% free: every lesson, quiz and the AI tutor cost nothing
  • Claim your certificate when you complete the course (an optional paid add-on)
  • Recognised by 900+ hiring partners across India
  • One click to share on LinkedIn and add to your resume
Learner Reviews

Why learners choose LearnTube

Real reviews from Google. You learn free, you get assessed free, and you pay only if you want the certificate.

Though I have 11 years of experience as an HRBP, the course helped me refresh my knowledge and gave me insights into new trends in the market. The modules were clear and easy to understand, and the quizzes were well designed. I have added the certificate to my LinkedIn profile.

Vrinda Nair Google review · Jun 2025

I had a lot of doubts while learning, but the AI chatbot answered them in detail with simple summaries. The videos on the platform saved me a lot of time as I didn't have to search YouTube and watch random content.

Alvis Khan Google review · Aug 2025

Just earned my certificate in HR Management from LearnTube.ai! The platform is user-friendly and the assessment was a great way to validate my knowledge. Feeling proud of this accomplishment!

Rakhi Singh Google review · Mar 2026

I enrolled in a LearnTube personalized course to get into a Data Analytics role. It helped me learn SQL in depth and gave me hands-on experience with Power BI. I attached the LearnTube certificate to my CV, it added credibility to my profile, and I'm currently in the interview process.

Akshay Kumar Google review · Jul 2025

The interface is user-friendly and intuitive, making it easy to navigate the course. I encountered no errors during my time using the platform, which was a refreshing change from other online learning platforms.

Anand Kumar Google review · Apr 2023

Just cleared the Business Analyst assessment and got certified! Loved how the course simplifies big concepts like data-driven decision making into short, practical lessons. The automated quizzes kept me on track the whole time. Perfect boost for my resume!

Ditya Saxena Google review · May 2026

The certificate gave me a real edge during my B.Tech. By the time I graduated, I had skills that set me apart from my peers, and the certification opened up more job opportunities. It gave me the confidence to stand out during interviews.

Amal Roy Google review · Sep 2024

I manage many software projects as a General Manager and was looking for a good certification program to stay competitive. After researching many programs, I chose LearnTube and it was much better than I expected. The material is well-organized and practical, and what I liked most is the lifetime access.

Jiljil Govind Google review · May 2025
FAQ

Frequently asked questions

Everything learners ask before starting this algorithm design and problem solving course.

Is this algorithm design course self-paced?

Yes. You can complete the 40 video lessons on your own schedule. It's accessible 24/7 on both mobile and desktop, allowing you to learn algorithm design techniques whenever it fits your routine.

How long does it take to finish the training?

The entire syllabus takes about 2 hours to complete. This time includes watching the curated video lessons, taking the interactive AI-tutor quizzes, and reviewing the material across all 10 modules.

What will I be able to build after this?

You'll be equipped to build efficient systems that handle complex data. During the course, you will practice by designing recommendation engines, dynamic pricing models, and optimized routing systems similar to those used by major tech companies.

Are algorithms still in demand for software engineering?

Absolutely. Strong algorithmic problem solving skills are essential for technical interviews and daily programming tasks. Companies rely on these skills to build scalable applications, making this knowledge highly valuable for any aspiring developer.

Do I get a certificate for completing the classes?

You can earn a certificate. Learning the material and taking the quizzes is entirely free. If you want official proof of your new skills, you can purchase the optional verified certificate to share with employers.

Do I have to attend scheduled sessions?

No. All content consists of pre-recorded, AI-curated video lessons. You won't need to log in at specific times, which means you have complete flexibility to study searching algorithms and data structures at your preferred pace.

Start learning algorithm design and problem solving today, for free

40 lessons, an AI tutor that never gets tired, and a certificate at the finish line. All you need is an hour a day.

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