The Free Starter Kit for Aspiring Engineers

Every free course, lab, challenge, and reading list I'd bookmark in my first year of engineering.

Author

Vishakha Sadhwani
October 04, 2026

If you've just started college, or you're trying to break into tech, the internet will tell you to learn everything at once. Don't.

This is a curated list of free resources, organized in the order I'd actually use them: foundations, Linux, Git, networking, system design, hands-on practice, cloud, containers, AI, open source, and interview prep. Every link here costs nothing.

How to use this list: Don't try to finish it. Pick one resource per section, finish that, and move on. One finished course beats ten bookmarked ones.

Start Here: The Foundations

These teach you how computers and programming actually work, which makes everything after this easier.

  • CS50x — Harvard — the most famous intro to computer science on the internet. Starts from zero and builds up through C, Python, SQL, and web basics.

  • The Missing Semester of Your CS Education — MIT — the stuff colleges assume you already know: the shell, editors, Git, debugging, scripting. Short and extremely practical.

  • roadmap.sh — free, community-built roadmaps for DevOps, backend, frontend, AI engineering, and more. Use it to see what's ahead, not as a checklist to stress over.

  • freeCodeCamp — free, structured curriculum plus a huge YouTube library of full-length courses.

Tip: If you're unsure where to begin, do The Missing Semester first. It takes about a week, and it'll make every later lab and tutorial feel less intimidating.

Linux & the Command Line

Almost every server you'll ever touch runs Linux. Get comfortable here early.

Git & GitHub

Every team uses version control. Being good at Git is an instant signal that you've actually built things.

Networking: ByteByteGo's Best Beginner Articles

Networking is the topic beginners skip and later regret skipping. ByteByteGo (from Alex Xu, author of System Design Interview) explains it with clear diagrams, and their guides site is free.

Read these in order. Each one builds on the last.

Go further

How to read a ByteByteGo diagram: Don't skim it. Cover the text, look at the diagram, and explain the flow out loud. Then read the text and check what you missed.

System Design: ByteByteGo's Best Beginner Articles

System design is how real products are built to handle millions of users. You don't need it in first year, but reading a little every week builds intuition that pays off in internships and interviews.

Read these in order

More free ByteByteGo

Beyond ByteByteGo

Crash courses (pair each with the matching ByteByteGo article above)

Hands-On Practice: What to Actually Do on KodeKloud

Reading and watching only get you so far. KodeKloud's free plan (no credit card needed) gives you real environments to break and fix. Here are concrete activities, roughly in the order I'd do them.

Activity 1: Start a 100-day challenge (and don't break the streak)

Each day you get one real task: something broken to fix, or something half-built to finish. All three are 100% free.

  • 100 Days of DevOps — Linux, Git, Docker, Kubernetes, Jenkins, Ansible, and Terraform, in roughly that order. Start here.

  • 100 Days of Cloud — 50 days on AWS and 50 on Azure, in the real cloud consoles. You earn a KodeKloud Verified Badge at the end.

  • 100 Days of MLOps — for when you want to move toward AI and ML operations

  • KodeKloud Engineer — the platform the challenges run on, with more task-based practice

On the free plan you get one task per day, with unlimited retries on that day's task. That's the point: it builds a daily habit.

Want a 90-day version too? #90DaysOfDevOps by Michael Cade is a free, community-driven 90-day DevOps learning map on GitHub. It's not from KodeKloud, but the two pair well: read that day's 90DaysOfDevOps notes, then do your KodeKloud task.

Learn in public: Post your daily progress on LinkedIn or push your notes to GitHub. A 100-day streak with written notes is a portfolio in itself.

Activity 2: Do a crash course, then immediately do the matching challenge

Watching is easy. The challenge is where you find out what you actually understood.

Activity 3: Build one container skill properly

Activity 4: Touch the cloud

Activity 5: Learn how AI fits into engineering

Activity 6: Fill the small gaps

  • JSON Path Test — YAML, JSON, and JSON Path, which you'll need constantly for Kubernetes config

  • Jinja2 Basics — templating, used heavily in Ansible

Activity 7: Before placements or internships

Free labs by topic

Topic

Free labs

DevOps

12

Linux

20

Git

15

Docker

9

Kubernetes

7

Terraform

26

Ansible

7

Jenkins

5

Python

30

Free lab sessions are time-limited (usually about an hour) and reset afterwards, so keep your own notes. The full list of free courses is at kodekloud.com/free-courses.

Stuck? Search the KodeKloud Forums first; someone has almost certainly hit the same error on the same 100 Days task. Or ask in the KodeKloud Discord.

Other free places to practice

  • Killercoda — free browser-based scenarios for Linux, Docker, and Kubernetes

  • Play with Docker — a free Docker playground in your browser

  • iximiuz Labs — excellent free tier for containers, Linux, and networking labs

Cloud

You don't need a credit card to start learning cloud.

Pick one cloud. Learning AWS, Azure, and GCP at the same time is the fastest way to learn none of them. The concepts transfer.

DevOps: Containers, Kubernetes, IaC & Monitoring

Start with the big picture: DevOps concepts crash course — what DevOps actually is, before you dive into the tools.

Containers & Kubernetes

CI/CD & GitOps

Infrastructure as Code (Terraform)

Monitoring & Observability

Build something (in this order)

  1. Docker CI/CD Project — small enough to finish in a weekend

  2. Terraform with AWS — Real-Time Project + repo — VPC, subnets, and a load balancer, all from code

  3. End-to-End DevOps + AIOps Project (playlist) — Docker, Kubernetes, CI/CD, GitOps, cloud, monitoring, and logging in one multi-part build, with an AI layer on top. A great final-year project.

AI for Engineers

You don't need to become an ML researcher. You do need to understand how LLMs and AI agents fit into the software you'll build.

  • Hugging Face LLM Course — free, hands-on, and widely respected

  • Hugging Face Agents Course — build AI agents from scratch

  • Anthropic Academy — free courses on building with Claude, Claude Code, and MCP

  • DeepLearning.AI Short Courses — one-to-two-hour courses on specific AI topics

  • NVIDIA DLI free courses — filter by "Free"

  • escbash Roadmaps — skill-based, AI-forward roadmaps with labs on real machines, graded when you submit. The AI Engineer roadmap has you call real LLM APIs from a live machine. It runs through AI Fundamentals, RAG, AI Forward Deployed Engineer, Harness Engineering, and Claude Code Fundamentals. There are also Cloud, DevOps, and Data Engineer roadmaps; Data Engineer is still marked "planned." What's free: the first topic of every skill, plus the Linux and Python skills in full. The rest is paid. Crash courses (roughly in this order)

  1. Full-Stack GenAI — the big picture of building with LLMs

  2. What is Tool Calling? (IBM Technology) — how LLMs use external tools

  3. Vector Databases (IBM Technology) — the storage layer behind RAG and semantic search

  4. Building Agents with MCP — full workshop (Anthropic) — pair with KodeKloud's free MCP crash course

  5. Cursor crash course — get comfortable coding alongside an AI editor

  6. vLLM on Kubernetes — how models actually get served in production, once you've done the previous section

Open Source & Community

Contributing to open source is the closest thing to real-world work experience you can get while still in college.

  • How to Contribute to Open Source — opensource.guide — read this before your first contribution

  • First Contributions — practice your first pull request on a repo built for exactly that

  • Good First Issue — beginner-friendly issues from real projects, filterable by language

  • Hacktoberfest 2026 — happening right now, all October. This year it's changed format: instead of counting pull requests, it's 300+ in-person and online events focused on building with open-source AI. A university club can even host one.

  • Google Summer of Code — a paid open-source program for students and beginners. Start exploring organizations months before applications open.

  • LFX Mentorship — paid mentorships on Linux Foundation and CNCF projects (Kubernetes, Prometheus, and more)

  • CNCF Community Groups — local and virtual cloud-native meetups

Interview & Career Prep

Later: Certifications Worth Working Toward

You don't need certifications to get started. But once the foundations are solid, these five map neatly onto everything above. The prep can be completely free; only the exam costs money.

Certification

Builds on

Free prep

Register at

HashiCorp Terraform Associate (004) — 57 questions, 60 min, about $70.50

KodeKloud Terraform labs & challenges

Official Exam Content List · HashiCorp Tutorials · Terraform Day 1

HashiCorp

Red Hat Certified System Administrator (EX200) — hands-on, 3 hours, RHEL 10

Section 2 + KodeKloud Linux Challenges

Free RHEL Developer Subscription · RHCSA Full Course

Red Hat

Certified Kubernetes Application Developer (CKAD) — hands-on, 2 hours

Section 8 + KodeKloud Kubernetes Challenges

Killercoda CKAD · CKAD Exercises · CKA/CKAD Tips

Linux Foundation

AWS Certified DevOps Engineer – Professional (DOP-C02) — 75 questions, 180 min

Section 7 + 100 Days of Cloud

AWS Skill Builder Exam Prep

AWS

NVIDIA-Certified Associate: AI Infrastructure & Operations (NCA-AIIO) — 50 questions, 60 min, about $125

Section 9 + 100 Days of MLOps

Official prep course (free to audit on Coursera)

NVIDIA (via a Certiverse account)

A few practical notes:

  • AWS DevOps Pro is a professional-level exam. Most people take an Associate-level AWS cert first.

  • CKAD registration includes a free retake and two killer.sh simulator sessions. Check KSUG.AI for a Linux Foundation discount code before paying.

  • Students: the GitHub Student Developer Pack has historically included a free GitHub Foundations exam voucher, an easy first certification.

Crash Course Quick List

Every video in one place, grouped in the order this article covers them:

Foundations

Networking & System Design

Cloud

DevOps

AI

Projects

If You Only Do Five Things This Year

  1. Finish The Missing Semester and OverTheWire Bandit.

  2. Start KodeKloud's 100 Days of DevOps and don't break the streak.

  3. Read ByteByteGo's networking list (Section 4) from start to finish.

  4. Make one real open-source contribution, even if it's documentation.

  5. Build one project end to end and write about it on GitHub.

That's enough to put you ahead of most of your batch.

Everything above is free: courses, official docs, labs, challenges, open-source projects, community programs, and YouTube content. Free tiers, student offers, event formats, and exam details change often, so check the official pages before relying on any specific offer. If a video link has moved, searching its title will usually find the current version.