DSA with Python
- 300+ Hours of training
- 450+ Hiring Partners
- Classroom & Live Online Training Available
- Hands-on training with assignments and capstone projects
- Next batch starts 10 Nov 2026 · Cohort Meru
DedicatedPlacement Assistance
About the DSA with Python course
Builds strong problem-solving foundations through data structures and algorithms, implemented and practiced entirely in Python. You'll cover arrays, linked lists, stacks, queues, trees, graphs, and hashing, alongside algorithmic techniques like recursion, dynamic programming, and greedy strategies — with a heavy focus on writing efficient, correct code and reasoning about time and space complexity. Regular timed practice on interview-style problems makes this ideal preparation for technical interviews at product and service-based companies alike.
Learn From The Real Forward Deployed Engineers And AI Experts
Guest lectures and mentorship from Forward Deployed Engineers working at leading companies.
Companies Hiring In This Field
Companies that recruit for roles in this field.
IBMWho Should Do The DSA with Python?
Who this program is built for.
- Working professionals looking to upskill or switch domains01
- M.Tech / M.E. graduates looking to specialize or pivot into a new tech track02
- B.Tech / B.E. graduates or final-year students in CS, IT, ECE, or related branches03
- BCA, MCA, or B.Sc / M.Sc (Computer Science, IT, or related) graduates04
- 05M.Com, B.Com, MBA, or BBA graduates
- 06Diploma holders in Computer Science, IT, or Engineering
- 07No prior coding experience required for beginner-track courses
- 08Final-year students and recent graduates from any stream
Tech Stack
Technologies & Tools
Placement Path
From your first class to your first offer letter, here is how we take you there.
Career Opportunities with DSA with Python
Tap or hover a card to see what the role looks like day to day. Pay ranges are indicative market figures, not a guarantee of salary or placement.
SDE InternIndicative market pay: ₹2.5 – 4.5 LPA
SDE Intern
A role you can aim for after DSA with Python. We help you prepare with projects, mock interviews and resume reviews.
Problem Solving TraineeIndicative market pay: ₹3.5 – 5.5 LPA
Problem Solving Trainee
A role you can aim for after DSA with Python. We help you prepare with projects, mock interviews and resume reviews.
Software Engineer (Python)Indicative market pay: ₹5 – 8 LPA
Software Engineer (Python)
A role you can aim for after DSA with Python. We help you prepare with projects, mock interviews and resume reviews.
Backend EngineerIndicative market pay: ₹6 – 9 LPA
Backend Engineer
A role you can aim for after DSA with Python. We help you prepare with projects, mock interviews and resume reviews.
SDE-1Indicative market pay: ₹7 – 11 LPA
SDE-1
A role you can aim for after DSA with Python. We help you prepare with projects, mock interviews and resume reviews.
SDE-2Indicative market pay: ₹12 – 18 LPA
SDE-2
A role you can aim for after DSA with Python. We help you prepare with projects, mock interviews and resume reviews.
Everything That You Get by Enrolling in DSA with Python
We've built this program with one goal — to guide, support, and uplift you at every stage of your career journey. From the first class to your first placement and beyond, every component has been created with your growth, confidence, and success in mind.
EMI Options Available
Placement Assistance
Collaborative Learning through Teamwork
Course Completion Certificate
Expert Career Guidance
Flexible Learning
ISO 9001:2015 Certified Institute
Hands on Project
Corporate-Ready Curriculum
Industry Expert Sessions
Internship programs
Mock Interview
Placement Mentorship
Resume Preparation Guidance
Recognised worldwide
ISO
IAF
MSME
DPIIT
Accreditation and Recognition from Top Industry Bodies
Our programs and certifications are affiliated with, and recognised by, globally respected standards and skill-development bodies.
DSA with Python Curriculum
Comprehensive modules designed to build DSA with Python skills step by step.
The Python skills needed before tackling algorithms.
Key Topics
- Python syntax refresher for problem-solving
- Built-in data structures overview
- Writing clean, testable functions
Reasoning about how efficient an algorithm actually is.
Key Topics
- Big-O, Big-Theta, and Big-Omega notation
- Analyzing loops and recursive calls
- Comparing algorithm efficiency
The most common data types in coding interviews.
Key Topics
- Two-pointer and sliding window techniques
- Common array manipulation patterns
- String processing problems
Understanding pointer-based data structures.
Key Topics
- Singly and doubly linked lists
- Reversal and cycle detection
- Common linked list interview patterns
LIFO and FIFO structures used across many algorithms.
Key Topics
- Stack and queue implementations
- Monotonic stack problems
- Queue-based BFS applications
Solving problems by breaking them into smaller versions of themselves.
Key Topics
- Recursive thinking and base cases
- Backtracking template and pruning
- Classic backtracking problems
Hierarchical data structures at the core of many algorithms.
Key Topics
- Tree traversals: in-order, pre-order, post-order
- Binary search tree operations
- Balanced tree concepts
Modeling and solving problems involving connected data.
Key Topics
- Graph representations (adjacency list/matrix)
- BFS and DFS traversal
- Shortest path algorithms (Dijkstra)
The classic algorithms behind most technical interviews.
Key Topics
- Merge sort, quicksort, and heap sort
- Binary search and its variants
- Choosing the right algorithm for the problem
Solving optimization problems by avoiding repeated work.
Key Topics
- Memoization vs tabulation
- Common DP patterns (knapsack, LCS)
- Identifying DP problems in interviews
Simulated technical interviews to build real interview stamina.
Key Topics
- Timed problem-solving under pressure
- Whiteboard/verbal explanation practice
- Feedback and improvement plan
The L&L AI Solutions Placement Mentorship Program
At L&L AI Solutions, we treat every learner as a professional in progress. Our Placement Mentorship Program pairs you with dedicated mentors who guide, support, and push you through every stage of your journey — from your first module to your final interview — so you leave not just trained, but genuinely ready to build a career in DSA with Python.
Stage 01
Sharpen Your Fundamentals & Interview Confidence
You'll work closely with mentors who pressure-test what you know and flag exactly where to focus next. Through regular check-ins, simulated interviews, and guided practice, you'll build the technical clarity and communication confidence to hold your own in any interview — technical or HR.
Skill Gap Assessments
Confidence Coaching
Technical Interview Simulations
Weekly Progress Scorecards
HR Round Simulations
Concept Refresher Sessions
Communication Skill Coaching
Key Support
Stage 02
Map Your Career Path & Build Your Professional Profile
Get complete clarity on how placements actually work — the roles open to you, what employers expect, and where you're the strongest fit. With a mentor by your side, you'll rebuild your resume and LinkedIn profile around the roles you're targeting, so your profile reads as capable as you actually are.
Career Path Walkthroughs
What to Expect from Placements
Resume Rebuild Support
LinkedIn Profile Makeover
Role Eligibility Reviews
Personal Branding Guidance
Extra Upskilling Support
Key Support
Stage 03
Apply, Interview & Land the Role
This is where preparation turns into real opportunity. Our placement team matches your profile to live openings, preps you for each specific interview, coordinates directly with employers, and stays with you — feedback and all — until an offer is in hand.
Live Job Opportunities
Profile-to-Role Matching
Role Briefings
Application Support
1:1 Interview Prep
Interview Scheduling Help
Post-Offer Support
Key Support
DSA with Python — FAQs
Everything you need to know about the course and admissions.
Classes are held live online and at our campus: 5th Floor, Draper Startup House Building, Rajiv Gandhi Nagar, Gachibowli, Hyderabad 500032.
Data structures and algorithms, implemented in Python.
Eligibility depends on your background. See the "Who Should Do The DSA with Python?" section on this page for the details.
The program runs for 6 Months.
The next cohort starts on 10 Nov 2026. Contact our admissions team to confirm seats and timings.
Yes. You receive a certificate of completion once you finish the program requirements.
Yes. We provide placement assistance, including mentorship, resume support and mock interviews. Placement assistance is not a guarantee of a job.
Yes. The course is built around hands-on practice and projects, ending with a capstone project you can add to your portfolio.
Yes. Mentors review your work and clear doubts throughout the program, not only during the capstone.
A laptop with a stable internet connection. Setup for the tools used is covered at the start of the course.
Our refund and cancellation terms are published on the Refund Policy page of this website. Please read them before you enrol, or ask our admissions team.
