The Complete BTech CSE Engineering Kit: From First Semester to Your First Job
Look, here is the truth nobody told you on your first day of college. Your degree alone will not get you a job. The syllabus your university hands you is a starting point, not a finish line. The students who end up with great offers are the ones who figured out what to learn beyond the classroom, when to learn it, and how to actually build things while everyone else was just collecting notes.
This is that playbook. Semester by semester, year by year, everything you need to go from a confused fresher to a job ready engineer. No fluff, no vague advice. Just the actual resources, the actual sequence, and the actual skills that matter.
Before We Start: How This Kit Works
This kit is split into eight semesters across four years. Each semester has three layers.
Layer 1 is your college syllabus. You need to pass your exams, maintain a decent GPA, and actually understand what is being taught. A CGPA above 7.5 keeps most company filters from rejecting you outright.
Layer 2 is the real learning. These are the YouTube playlists, GitHub repositories, documentation, and practice platforms that will teach you things at a depth your college lectures probably will not.
Layer 3 is the career track. This is where you build projects, contribute to open source, prepare for interviews, land internships, and eventually walk into placement season with confidence.
Every resource mentioned here is free unless stated otherwise.
One platform that ties a lot of this together is Let’s Code. It has free roadmaps, interview questions, company PYQs, AI resume tools, mock tests, and a placement kit all in one place. I will be linking to specific pages from Let’s Code throughout this kit wherever they are the best fit for a particular stage of your journey.
Year 1: Building The Foundation
Your first year is not really about computer science yet. Most universities throw physics, chemistry, math, and workshop practice at you. That is fine. But this is also the year where you quietly start building the skills that will matter later.
Semester 1 (July to December)
What your college teaches you: Mathematics I (Calculus, Differential Equations), Engineering Physics, Engineering Chemistry, Basic Electrical Engineering, English/Communication Skills, Engineering Graphics/Drawing
What you should actually be doing alongside:
This is the semester where you learn to code. Not because your college told you to, but because everything from semester 3 onwards will assume you already can.
Pick one language and go deep. C is the traditional choice and most universities start with it. If your college teaches C in the first semester, great. If they do not start programming until semester 2, start on your own anyway.
YouTube Playlists for C Programming:
Programming in C by Jenny’s Lectures CS IT (English, 150+ videos, covers everything from basics to pointers and file handling)
C Language Tutorials In Hindi by CodeWithHarry (Hindi, complete C course with notes and practice sheets)
CS50x by Harvard (English, the single best introductory CS course in the world, uses C and then transitions to Python, watch at least the first 5 weeks)
What to practice on: HackerRank (start with the “30 Days of Code” challenge), do simple problems on arrays, loops, conditionals, and string manipulation.
GitHub Repositories to bookmark now:
ossu/computer-science (Open Source Society University, a complete self taught CS curriculum mapped to real university courses)
kamranahmedse/developer-roadmap (interactive roadmaps for frontend, backend, DevOps, and more, you will come back to this every semester)
codecrafters-io/build-your-own-x (tutorials to build things from scratch, a search engine, a database, a git clone, everything)
Semester 1 Side Quest: Set up your GitHub account. Learn basic Git commands (init, add, commit, push, pull, clone, branch). You will use Git every single day of your career.
Git and GitHub for Beginners by freeCodeCamp (about 1 hour)
Semester 2 (January to May)
What your college teaches you: Mathematics II (Linear Algebra, Transforms), Engineering Physics II or Chemistry II, Introduction to Programming (C/Python depending on university), Workshop Practice, Environmental Studies
What you should actually be doing alongside:
If your college starts C programming this semester, use the playlists listed above. If you already learned C in semester 1, this is the semester to learn Python.
YouTube Playlists for Python:
Python Tutorials For Absolute Beginners In Hindi by CodeWithHarry (Hindi, extremely detailed, goes from zero to building projects)
Python for Beginners by Telusko (Hindi/English mix, very popular among Indian students, covers everything including OOP in Python)
Automate the Boring Stuff with Python by Al Sweigart (free on his website and also on YouTube, teaches you practical Python by automating real tasks)
Mathematics matters more than you think. Linear Algebra will come back to haunt you in Machine Learning. Probability will show up in algorithms and system design. Do not sleepwalk through math.
YouTube Playlists for Engineering Mathematics:
Engineering Mathematics by Dr. Gajendra Purohit (Hindi, covers all the topics most Indian universities include in Math I and Math II)
Essence of Linear Algebra by 3Blue1Brown (English, the single best visual explanation of linear algebra that exists, about 15 videos, each under 20 minutes)
Semester 2 Project: Build something. Anything. A calculator, a to-do list in the terminal, a number guessing game, a simple file organizer script. Push it to GitHub. You now have a portfolio with one project in it. That is one more than most of your batchmates.
Start typing faster. This sounds ridiculous but it matters. Use keybr.com or monkeytype.com and get to at least 50 WPM. You will thank yourself during online coding rounds.
Year 2: Where Computer Science Actually Begins
This is the year that separates the engineers from the students who just happen to be enrolled in engineering. Data Structures, Object Oriented Programming, Discrete Mathematics, Digital Logic, and Computer Organization all hit you at once. If you coast through Year 2, you will spend Year 3 and Year 4 trying to catch up.
Semester 3 (July to December)
What your college teaches you: Data Structures, Discrete Mathematics, Digital Logic Design / Digital Electronics, Object Oriented Programming (C++ or Java), Probability and Statistics
What you should actually be doing:
Data Structures is the most important subject of your entire degree. Not in terms of marks, but in terms of what it does for your career. Every coding interview you will ever face is built on DSA. Start early, practice daily, and do not stop until you are comfortable.
YouTube Playlists for Data Structures and Algorithms:
Strivers A2Z DSA Course by take U forward (English, this is the gold standard, covers every data structure and algorithm with thought process, not just solutions)
Data Structures by mycodeschool (English, old but incredible, each video is short, clear, and covers concepts beautifully with animations)
Algorithms by Abdul Bari (English, legendary playlist, his explanations of time complexity, recurrence relations, greedy, and DP are some of the best on YouTube)
Java + DSA + Interview Preparation Course by Kunal Kushwaha (English, if your college uses Java for OOP, this playlist is perfect because it combines DSA with Java)
YouTube Playlists for Discrete Mathematics:
Discrete Mathematics by Neso Academy (English, clean structured playlist, covers all the topics, sets, relations, graph theory, combinatorics)
Discrete Mathematics by Gate Smashers (Hindi, shorter and more exam focused)
YouTube Playlists for Digital Logic Design / Digital Electronics:
Digital Electronics by Neso Academy (English, about 100+ videos, covers everything from number systems to sequential circuits)
YouTube Playlists for Object Oriented Programming:
If your college uses C++:
C++ Tutorials In Hindi by CodeWithHarry (Hindi, complete C++ course)
The Complete C++ Course by Saurabh Shukla (Hindi, especially good for OOP concepts)
If your college uses Java:
Java + DSA + Interview Preparation Course by Kunal Kushwaha (same playlist linked above, covers both Java and DSA together, community driven with assignments)
Practice Platforms for DSA:
LeetCode (start with Easy problems, aim for 2 to 3 per day once you have the basics down)
GeeksforGeeks Practice (good for topic wise practice, especially useful alongside college exams)
Codeforces (if you want to get into competitive programming, start with Div 3 and Div 4 contests)
GitHub Repositories for DSA:
TheAlgorithms/Python (or /Java or /C-Plus-Plus, implementations of every algorithm you can imagine, great for reference)
trekhleb/javascript-algorithms (even if you do not use JS, the explanations and visualizations are outstanding)
Striver’s A2Z DSA Sheet (180 problems that cover everything asked in product company interviews)
Semester 3 Project: Build a student management system or a library management system using C++ or Java. Use file handling for persistence. This sounds basic but it forces you to use OOP properly.
Bonus Resource: If you want a structured DSA roadmap with topic sequencing and progress tracking, check out the DSA Roadmap on Let’s Code. It lays out the entire path from arrays to graphs in a clean, step by step format.
Semester 4 (January to May)
What your college teaches you: Algorithms (Design and Analysis), Operating Systems, Database Management Systems (DBMS), Computer Organization and Architecture, Mathematics III or IV (depending on university)
What you should actually be doing:
This semester is dense. Four core CS subjects at once. Every single one of these shows up in placement interviews.
YouTube Playlists for Algorithms (Design and Analysis):
Continue with Striver’s A2Z DSA course if you have not finished it. The algorithms section covers sorting, searching, greedy, dynamic programming, backtracking, and graph algorithms.
Algorithms by Abdul Bari (English, legendary for time complexity, recurrence relations, greedy, and DP)
Dynamic Programming Playlist by Aditya Verma (Hindi/English, the single best playlist for DP anywhere, he builds intuition from scratch using recursion to memoization to tabulation)
YouTube Playlists for Operating Systems:
Operating System Complete Playlist by Gate Smashers (Hindi, around 90 videos, very popular among Indian students, covers process management, memory management, file systems, deadlocks, everything)
Operating System by Neso Academy (English, structured and detailed, good if you prefer English)
Free textbook: Operating Systems: Three Easy Pieces (genuinely the best OS textbook, readable and deep)
YouTube Playlists for Database Management Systems (DBMS):
DBMS Complete Playlist by Gate Smashers (Hindi, covers ER diagrams, normalization, SQL, transactions, concurrency control)
Database Management Systems by Neso Academy (English, solid playlist covering relational algebra, SQL, normalization in detail)
DBMS by KnowledgeGATE (Sanchit Sir) (Hindi, very thorough, popular among GATE aspirants but equally useful for placements)
For SQL practice specifically: use SQLBolt, HackerRank SQL domain, and LeetCode Database section.
For interview style DBMS and OS questions, the DBMS Interview Questions on Let’s Code are well curated and cover exactly what gets asked during placements.
YouTube Playlists for Computer Organization and Architecture:
Computer Organization and Architecture by Gate Smashers (Hindi, covers instruction formats, pipelining, cache memory, I/O organization)
Computer Organization and Architecture by Neso Academy (English, detailed and well structured)
GitHub Repositories:
donnemartin/system-design-primer (bookmark this now, you will use it heavily in Year 3 and Year 4, but start reading the basics of how systems work)
practical-tutorials/project-based-learning (find a project that interests you and build it, learn by doing)
Semester 4 is when you should start LeetCode seriously. Aim to solve 150 to 200 problems by the end of this semester. Focus on arrays, strings, linked lists, stacks, queues, trees, and basic graph problems. Do not jump to hard problems yet. Build the muscle.
Semester 4 Project: Build a CRUD application with a proper database backend. Use MySQL or PostgreSQL. This can be a simple inventory system, a blog engine, or a task tracker. Bonus points if you add a basic frontend.
Summer After Year 2: This is critical. Apply for internships aggressively. If you cannot land a paid internship, contribute to open source projects. Google Summer of Code (GSoC) applications usually open around January to March. Look at programs like MLH Fellowship, LFX Mentorship, and GirlScript Summer of Code as well. Even a small startup internship is better than doing nothing over summer.
This is also the right time to read through the A to Z Placement Kit on Let’s Code. It covers everything from resume building to cold emailing to interview prep in one place. Pair it with their Placement Roadmap which gives you a week by week plan for what to prepare and when. If your aptitude basics are shaky, go through their Aptitude Roadmap as well, since most service companies and some product companies include an aptitude round.
Year 3: Specialization, Depth, and Interview Prep
By now you should be comfortable writing code, understanding data structures, and working with databases. Year 3 is where you go deeper into CS theory and also start building the profile that will get you hired.
Semester 5 (July to December)
What your college teaches you: Computer Networks, Software Engineering, Theory of Computation / Automata Theory, Compiler Design, Elective I (Machine Learning / AI / Web Development / Cloud Computing depending on university)
What you should actually be doing:
YouTube Playlists for Computer Networks:
Computer Networks Complete Playlist by Gate Smashers (Hindi, very well explained, covers OSI model, TCP/IP, routing, subnetting, everything)
Computer Networks by Neso Academy (English, detailed playlist, great for understanding protocols)
Free textbook: “Computer Networking: A Top Down Approach” by Kurose and Ross (widely regarded as the best CN textbook, there are lecture videos by the authors on YouTube too)
YouTube Playlists for Theory of Computation:
Theory of Computation by Neso Academy (English, around 100+ videos, covers finite automata, CFGs, Turing machines, decidability)
Theory of Computation by Gate Smashers (Hindi, shorter and more exam focused)
This subject feels abstract but it teaches you to think about what is computable and what is not. It also helps immensely if you ever take GATE.
YouTube Playlists for Compiler Design:
Compiler Design Complete Playlist by Gate Smashers (Hindi, covers lexical analysis, parsing, syntax directed translation, code optimization)
Compiler Design by Neso Academy (English, more detailed)
YouTube Playlists for Software Engineering:
Software Engineering by Gate Smashers (Hindi, covers SDLC models, testing, project management)
Also read “Clean Code” by Robert C. Martin. The concepts of writing maintainable, readable code will stick with you forever.
Elective Guidance with Playlists:
If you pick Machine Learning:
Machine Learning Specialization by Andrew Ng on Coursera (free to audit, the starting point for ML)
StatQuest Machine Learning Playlist by Josh Starmer (English, statistics and ML concepts explained simply)
For a structured path that covers what to learn and in what order, follow the Machine Learning Roadmap on Let’s Code. If you want to go further into AI engineering and LLMs, they also have an AI Engineer Roadmap and an LLMs Roadmap.
If you pick Web Development:
The Odin Project (free full curriculum)
Namaste JavaScript by Akshay Saini (Hindi/English, the best JS playlist for understanding how the language actually works under the hood)
Also check out the JavaScript Roadmap, React Roadmap, and Backend Development Roadmap on Let’s Code for structured learning paths.
If you pick Cloud Computing:
AWS Certified Cloud Practitioner by freeCodeCamp (English, full free course)
For a broader view that includes Docker, Kubernetes, CI/CD, and cloud platforms together, follow the DevOps Roadmap on Let’s Code.
Semester 5 is when placement prep goes into overdrive.
Here is the checklist:
Solve 300 to 400 LeetCode problems total by the end of this semester (you should already have 150 to 200 from last semester). Use the LeetCode Top Interview 150 guide on Let’s Code to prioritize which problems to solve first. They also have a LeetCode Resources page with curated tips and strategies.
Study core subjects for interview theory: OS, DBMS, CN, OOP. Use the “Last Minute Notes” on GeeksforGeeks for quick revision. You can also access compiled Study Resources and Notes on Let’s Code which has subject wise notes and reference material in one place.
Practice system design basics. Read the System Design Primer on GitHub. Also go through the System Design Roadmap on Let’s Code which breaks the topic down into digestible stages.
System Design by Gaurav Sen (English, very clear and well structured, covers load balancers, caching, databases, message queues)
Start mock interviews. Use Pramp (free, peer to peer mock interviews) or InterviewBit. For quick topic wise MCQ based mock tests covering DSA, OS, DBMS, CN, OOPs, and aptitude, use the Free Mock Interview tool on Let’s Code which covers 35+ topics.
GitHub Repositories for this phase:
jwasham/coding-interview-university (a complete study plan created by someone who self taught their way into Amazon, covers everything)
yangshun/tech-interview-handbook (practical interview tips, behavioral questions, resume advice, and more)
anushka23g/Complete-Placement-Preparation (questions and solutions organized by topic, built by an Indian student who interned at Amazon)
Semester 5 Project: Build a full stack web application. Use React or plain HTML/CSS/JS on the frontend, Node.js or Django or Spring Boot on the backend, and a real database. Deploy it on Vercel, Render, or AWS. This project goes on your resume.
Semester 6 (January to May)
What your college teaches you: Artificial Intelligence, Web Technologies / Information Security, Elective II, Elective III, Mini Project
What you should actually be doing:
YouTube Playlists for Artificial Intelligence:
Artificial Intelligence Complete Playlist by Gate Smashers (Hindi, covers search algorithms, knowledge representation, expert systems)
AI for Everyone by Andrew Ng on Coursera (free to audit, gives you the big picture of where AI is used and why it matters)
If you want to go deeper into deep learning:
Neural Networks by 3Blue1Brown (English, the visual intuition is unmatched)
YouTube Playlists for Web Technologies:
Namaste JavaScript by Akshay Saini (Hindi/English, the best JS playlist for understanding closures, event loop, prototypes)
Once you have watched the playlist, test yourself with the JavaScript Interview Questions on Let’s Code. These are the exact kinds of questions that come up in frontend and full stack interviews.(https://www.youtube.com/playlist?list=PLu0W_9lII9agiCUZYRsvtGTXdxkzPyItg) (Hindi, covers HTML, CSS, JS, and more)
Full React Course by freeCodeCamp (English, complete React tutorial)
This semester, focus heavily on:
Finishing your LeetCode grind (aim for 400 to 500 total problems solved).
Building 2 to 3 solid projects for your resume.
Writing a clean, one page resume. Use Jake’s Resume template from Overleaf (just search “Jake’s Resume” on Overleaf, it is the most widely used resume template in tech). You can also grab free ATS Friendly Resume Templates from Let’s Code. Once your resume is ready, run it through the AI Resume Studio on Let’s Code which scores your resume, flags ATS issues, and suggests improvements. It is free and genuinely useful.
Applying for summer internships at product companies. Companies like Google, Microsoft, Amazon, Flipkart, Walmart, Goldman Sachs, and others typically open intern applications between August and February.
Open Source Contributions: If you have not contributed to open source yet, now is the time. Find projects you use and care about on GitHub. Start with issues labeled “good first issue” or “help wanted”. Hacktoberfest (October) is a good starting event, but do not limit yourself to it.
Semester 6 Project (Mini Project): Many universities mandate a mini project this semester. Use this as an opportunity to build something genuinely useful. A real time chat application, a machine learning model that solves a real problem, a developer tool, anything that shows you can build end to end. If you are stuck on what to build, browse the Final Year Project Ideas with Source Code on Let’s Code for inspiration.
Year 4: The Final Push
If you have followed this kit, you should be in one of three positions by now: you already have a pre placement offer (PPO) from your internship, you are preparing for placement season, or you are aiming for off campus opportunities and higher studies.
Semester 7 (July to December)
What your college teaches you: Elective IV, Elective V, Major Project (Part 1), possibly a seminar or industrial training component
What you should actually be doing:
Placement season is now. Most colleges run placements between August and December of the fourth year. Here is what your preparation should look like at this point.
Company Specific Preparation: One thing that makes a real difference during placement season is practicing previous year questions from the specific companies visiting your campus. Let’s Code has company PYQs for TCS, Wipro, Infosys, Amazon, Google, Goldman Sachs, Adobe, Microsoft, Meta, and more. Go through the PYQs of every company on your placement calendar. Also read real Interview Experiences on Let’s Code shared by students who have actually sat in those interviews. Knowing what to expect from a specific company is a massive advantage.
Use the OOPs Interview Questions on Let’s Code to prepare for the OOP theory round that almost every company includes.
DSA: You should be comfortable with medium difficulty LeetCode problems and should be able to solve most of them within 30 to 45 minutes. Revise hard problems in DP, graphs, and trees.
Core CS subjects for interviews (Revision Playlists):
Operating Systems: Gate Smashers OS Playlist
DBMS: Gate Smashers DBMS Playlist
Computer Networks: Gate Smashers CN Playlist
OOP: Four pillars (abstraction, encapsulation, inheritance, polymorphism), SOLID principles, design patterns (singleton, factory, observer, strategy at minimum).
For a comprehensive set of questions across all core subjects, go through the Advanced Placement Interview Questions on Let’s Code. These are curated specifically for the kind of theory rounds product companies conduct.
System Design:
System Design by Gaurav Sen (English, clear and well structured)
Read “Designing Data Intensive Applications” by Martin Kleppmann (this is the bible of system design, read at least the first 8 chapters).
Practice designing: URL shortener, Twitter feed, chat system, rate limiter, notification service.
Behavioral Interviews:
Use the STAR method (Situation, Task, Action, Result) for behavioral questions.
Prepare stories about: a time you led a team, a time you dealt with conflict, a challenging technical problem you solved, why you chose CSE.
Resume Checklist: Your resume by now should have: your education and CGPA, 2 to 3 strong projects with tech stacks and outcomes mentioned, any internship experience, relevant coursework, technical skills (languages, frameworks, tools, databases), and any competitive programming achievements or open source contributions. Keep it to one page. Use action verbs. Quantify impact wherever possible.
Before you start applying, run your profile through the Job Ready Score tool on Let’s Code. It gives you a brutally honest 100 point score based on your resume, LinkedIn, and GitHub, along with a personalized 90 day action plan to fix gaps. Also use their LinkedIn Optimizer to make sure recruiters can actually find you when they search for candidates.
Semester 8 (January to May)
What your college teaches you: Major Project (Part 2), possibly one elective, viva voce, and final examinations
What you should actually be doing:
If you are placed, this semester is your opportunity to learn things your curriculum never taught you but your job will demand from day one.
Skills that matter on the job but are not in your syllabus:
Version Control: You already know basic Git, but learn branching strategies (Git Flow, trunk based development), rebasing, cherry picking, resolving merge conflicts confidently.
Linux and Shell Scripting: Get comfortable with the terminal.
Linux Command Line Full Course by freeCodeCamp (English)
Docker and Containers: Learn what containers are, how Docker works, write a Dockerfile, run multi container applications with Docker Compose.
Docker Tutorial for Beginners by TechWorld with Nana (English, clear and practical)
CI/CD: Understand what continuous integration and continuous deployment mean. Set up a GitHub Actions workflow for one of your projects.
Cloud Basics: If you have not already, learn how to deploy applications on AWS, GCP, or Azure. At minimum, understand EC2, S3, and basic networking in a cloud environment.
If you are not placed yet:
Do not panic. Off campus hiring is massive and many companies hire year round. Keep applying on LinkedIn, Wellfound (formerly AngelList), Instahyre, and company career pages directly. Use the AI Job Finder on Let’s Code which searches multiple live job boards, scores each job by your fit, and tells you whether to apply or not based on skill match. It is genuinely one of the most useful free tools out there for off campus job hunting.
For cold outreach and referral requests, use the Cold Email and Referral Templates on Let’s Code. These are ready to use templates that actually get responses. You can also generate tailored cover letters using their Cover Letter AI tool.
If you are open to working at startups, browse the Startup Directory on Let’s Code which lists opportunities across Bangalore, Hyderabad, Pune, Mumbai, Gurgaon, remote roles, and unicorn startups.
Referrals help enormously, so reach out to seniors and alumni who are already working at companies you are targeting. Keep solving problems and building projects. Your time will come.
Major Project Advice:
Pick a problem that genuinely interests you. The project evaluators can tell when you do not care about what you built. Use proper engineering practices: version control, a README file, documentation, testing. Deploy it somewhere accessible so anyone can try it. Even a simple project done well impresses more than a complicated one done poorly.
The Parallel Track: Things You Should Be Doing Throughout College
Some things do not belong to a specific semester. They are habits and practices you should build from day one and maintain until you graduate and beyond.
Competitive Programming (Optional but powerful): If you enjoy problem solving, competitive programming will sharpen your skills faster than anything else. Start on Codeforces with Div 3 and Div 4 contests. Aim for Specialist or Expert rating by the time you graduate. Even if you do not compete, the problem solving mindset carries over directly to interviews. You can also join the 100 Days DSA Challenge on Let’s Code which is a community driven contest series where you solve problems daily and compete with other students.
Technical Writing and Blogging: Write about what you learn. Start a blog on Hashnode, Dev.to, or Medium. Explain concepts in your own words. This helps you understand things deeper and also builds your online presence. Recruiters do notice.
LinkedIn: Build your LinkedIn profile properly from Year 2 onwards. Post about your projects, share what you are learning, connect with people in the industry. LinkedIn is where most off campus hiring happens in India now. Once your profile is set up, run it through the LinkedIn Optimizer on Let’s Code to get AI suggestions for improving your headline, summary, and skills so recruiters find you first.
Soft Skills: Join your college’s coding club, technical society, or any team where you have to collaborate, present, and communicate. The ability to explain your thought process clearly during an interview is just as important as the code you write.
Hackathons: Participate in at least 3 to 4 hackathons during college. MLH, DevPost, Smart India Hackathon, and various college organized hackathons are all good options. For a curated list of upcoming hackathons specifically for college students in India, check out the Top Hackathons for College Students on Let’s Code. Hackathons teach you to build under pressure, work in teams, and present your work. They also look great on your resume.
The Master Resource Library: Every Playlist and Link In One Place
Here is a consolidated list of every major resource mentioned in this kit, organized by subject with direct playlist links.
Programming Fundamentals:
C Programming by Jenny’s Lectures
C Language Tutorials by CodeWithHarry (Hindi)
Python by CodeWithHarry (Hindi)
Data Structures and Algorithms:
Striver’s A2Z DSA Course (take U forward)
Data Structures by mycodeschool
Dynamic Programming by Aditya Verma
Operating Systems:
Database Management Systems:
Computer Networks:
Theory of Computation:
Compiler Design:
Gate Smashers Compiler Design (Hindi)
Neso Academy Compiler Design (English)
Digital Electronics:
Neso Academy Digital Electronics (English)
Discrete Mathematics:
Neso Academy Discrete Math (English)
Gate Smashers Discrete Math (Hindi)
Computer Organization and Architecture:
Software Engineering:
Artificial Intelligence:
Neural Networks by 3Blue1Brown
System Design:
Web Development:
Namaste JavaScript by Akshay Saini
Web Development by CodeWithHarry (Hindi)
Mathematics:
Essence of Linear Algebra by 3Blue1Brown
Engineering Math by Dr. Gajendra Purohit (Hindi)
C++ and OOP:
Machine Learning:
GitHub Repositories:
ossu/computer-science (full CS curriculum)
kamranahmedse/developer-roadmap (technology roadmaps)
codecrafters-io/build-your-own-x (build things from scratch)
TheAlgorithms (algorithm implementations in every language)
trekhleb/javascript-algorithms (algorithms with explanations)
donnemartin/system-design-primer (system design fundamentals)
jwasham/coding-interview-university (complete interview prep study plan)
yangshun/tech-interview-handbook (interview tips and resources)
practical-tutorials/project-based-learning (learn by building projects)
EbookFoundation/free-programming-books (free books on everything)
freeCodeCamp/freeCodeCamp (web development curriculum)
anushka23g/Complete-Placement-Preparation (placement prep material)
kunal-kushwaha/DSA-Bootcamp-Java (code and assignments for Kunal’s Java DSA course)
Practice Platforms:
Let’s Code (Free Placement Prep Platform):
JavaScript Interview Questions
Advanced Placement Interview Questions
Company PYQs (TCS, Amazon, Google, Adobe, etc.)
Cold Email and Referral Templates
Final Year Project Ideas with Source Code
LeetCode Top 150 Questions Guide
Top Hackathons for College Students
Let’s Code Free AI Tools:
AI Mock Interview (35+ topics)
Free Courses and Textbooks:
A Semester by Semester Checklist
Semester 1: Learn C, set up GitHub, learn basic Git, start typing practice, build one terminal based project.
Semester 2: Learn Python, understand engineering math deeply, build another project, push everything to GitHub.
Semester 3: Start DSA seriously with Striver or Abdul Bari, learn OOP with C++ or Java, start solving LeetCode Easy problems, build an OOP based project.
Semester 4: Master algorithms (DP, Graphs, Greedy), study OS and DBMS thoroughly, learn SQL, solve 150 to 200 LeetCode problems, build a database backed application, apply for summer internships.
Semester 5: Study Computer Networks and Theory of Computation, push LeetCode count to 300 to 400, start system design basics, choose a specialization elective, build a full stack project, do mock interviews.
Semester 6: Deepen your specialization, finish LeetCode grind at 400 to 500, polish your resume, apply for internships at product companies, contribute to open source, build your mini project.
Semester 7: Placement season, revise everything, practice mock interviews daily, apply off campus as backup, keep coding.
Semester 8: Learn job ready skills (Docker, CI/CD, cloud, Linux), complete your major project with proper engineering practices, prepare for your first day at work.
At Last!
The difference between a student who gets placed at a service company at 3.5 LPA and a student who gets placed at a product company at 15 or 20 LPA is rarely raw talent. It is consistency, the right resources at the right time, and the willingness to build things instead of just watching tutorials.
You do not need to follow this kit perfectly. You do not need to watch every playlist or solve every problem. But you do need a plan, and you need to start. The best time to start was your first day of college. The second best time is right now.
Good luck. Go build something.
Lets Code
Contributing Writer