Engineering Education
AItheGuru Learn
69 chapters
Story-based learning
Learn by living
the story
Real engineers, real incidents, real commands — taught the moment you need them, not as lists to memorise.
69 chapters 4 tracks ~15h content Free · always
01
Story first
Every chapter opens mid-incident. You feel the urgency before you see the command df -h.
02
Commands in context
Each command appears exactly when the character needs it. It sticks because you remember the moment.
03
Windows engineers welcome
10 chapters map every Windows tool to Linux — Services.msc, Event Viewer, PowerShell and more.
📖
All 10 chapters → DevOps
Follow real Indian engineers as they learn DevOps the hard way — breaking things, fixing things, and building systems that actually work.
📁 #1
Beginner
Arjun's first Git commit
What is version control and why does everyone keep talking about Git?
Arjun 8 min
🌿 #2
Beginner
The team breaks production
Branches, merges, and the art of not stepping on each other
Arjun & Team 10 min
📦 #3
Intermediate
Priya packs her app in a box
Docker, containers, and why "it works on my machine" is no longer acceptable
Priya 12 min
🤖 #4
Intermediate
The robot that ships code
CI/CD pipelines — automatic testing, building, and deploying so you can sleep at night
Arjun 12 min
🎼 #5
Advanced
Suresh conducts the orchestra
Kubernetes — orchestrating dozens of containers like a maestro
Suresh 15 min
☁️ #6
Advanced
Nandini moves to the cloud
AWS, GCP, Azure — and how to stop paying for servers you do not need
Nandini 14 min
🚨 #7
Expert
The 3am alert nobody wants
SRE, observability, Prometheus and Grafana — knowing your system is alive
Vikram 15 min
📊 #8
Advanced
Priya makes the invisible visible
Prometheus, Grafana and alerting — know your system is healthy before users complain
Priya 12 min
🔒 #9
Advanced
Rahul secures the pipeline
Secrets management, vulnerability scanning — security is not optional in production
Rahul 11 min
🔄 #10
Expert
Nandini automates everything
GitOps, ArgoCD, Terraform — when Git is the single source of truth for your infrastructure
Nandini 13 min
📖
All 9 chapters → AI Ops
Follow data scientists and ML engineers as they discover that training a model is only 10% of the work — the other 90% is everything else.
🤖 #1
Beginner
Meera trains her first model
What is machine learning really — and what happens after training?
Meera 10 min
🔬 #2
Beginner
Ravi loses his best model
Experiment tracking, MLflow, and DVC — keeping track of what actually worked
Ravi 10 min
🚀 #3
Intermediate
Deploying Meera's chatbot
Model serving with FastAPI and Docker — from notebook to real API
Meera 12 min
📉 #4
Advanced
The model that went wrong silently
Model monitoring, data drift, and why your model degrades without you knowing
Kavya 14 min
🔄 #5
Advanced
Building the full ML pipeline
Kubeflow, Airflow, and the end-to-end MLOps system that runs itself
Ravi & Meera 15 min
🧠 #6
Expert
Running LLMs in production
LLMOps — cost, latency, evals, and RAG pipelines at scale
Ananya 16 min
🔍 #7
Intermediate
Vikram teaches the model to see
Feature engineering, data pipelines and why raw data is never model-ready
Vikram 11 min
🧪 #8
Advanced
Meera runs the experiment
A/B testing ML models, statistical significance and shadow deployment
Meera 10 min
💰 #9
Expert
Rohan cuts the GPU bill by 60 percent
Model quantisation, batching, caching and serving ML cheaply at scale
Rohan 12 min
🖥️
All 32 chapters → Linux for Production Support
Learn Linux through real production incidents. Every command taught in context of an actual scenario. By the end you will handle any Linux incident with confidence.
🪟 #1
Beginner WIN→
Vijay's first day without Windows
The mental shift — everything you know mapped to Linux equivalents
Vijay 12 min
📁 #2
Beginner WIN→
Vijay learns the filesystem
No C: drive, no backslashes — how Linux organises everything
Vijay 11 min
⚙️ #3
Intermediate WIN→
Vijay manages services without Services.msc
systemctl, journalctl — better than Services.msc once you know how
Vijay 12 min
🌐 #4
Intermediate WIN→
Vijay troubleshoots the network
ip, ss, nc, curl — Linux networking for Windows engineers
Vijay 11 min
🔄 #5
Intermediate WIN→
Vijay tames processes without Task Manager
ps, top, kill, nice — process management for Windows engineers
Vijay 11 min
📋 #6
Intermediate WIN→
Vijay reads logs without Event Viewer
grep, tail, journalctl — log analysis that is faster than Event Viewer
Vijay 12 min
💻 #7
Advanced WIN→
Vijay replaces PowerShell with bash
Bash scripting for PowerShell users — same logic, different syntax
Vijay 14 min
🚨 #8
Advanced WIN→
Vijay handles his first Linux production incident
Full incident response — applying Windows instincts in a Linux world
Vijay 14 min
🧭 #9
Beginner
Riya's first production incident
Navigate Linux, read logs, find the problem — the foundation of everything
Riya 10 min
⚡ #10
Beginner
Dev hunts the CPU killer
Processes, top, ps, kill — finding and fixing runaway processes
Dev 10 min
🌐 #11
Intermediate
Priya traces the broken connection
Ports, DNS, firewall — diagnosing cannot connect incidents
Priya 12 min
💾 #12
Intermediate
Karan saves the disk at midnight
Disk full, systemctl, cron — the three pillars of production maintenance
Karan 11 min
⚙️ #13
Advanced
Meena automates the morning checklist
Shell scripting, functions, loops — turn manual work into automation
Meena 14 min
🚨 #14
Expert
3am — all incidents at once
Real war games: app down, CPU spike, disk full, cannot connect
The Team 15 min
📝 #15
Intermediate
Arjun becomes a log wizard
awk, sed, cut, sort, uniq — turn any log file into a data report in seconds
Arjun 12 min
🔬 #16
Advanced
Sneha finds the hidden bottleneck
strace, lsof, perf, tcpdump — deep diagnostics for complex incidents
Sneha 13 min
⚡ #17
Expert
Deepak runs things in parallel
xargs, parallel execution, advanced scripting — automate work across many servers at once
Deepak 13 min
🔐 #18
Intermediate
Ananya audits who has access to what
Users, groups, permissions, sudo — controlling access on production servers
Ananya 13 min
🔑 #19
Intermediate
Kiran secures access with SSH keys
SSH key authentication, config shortcuts, tunnelling and remote execution
Kiran 12 min
⚡ #20
Advanced
Sameer becomes twice as fast
Aliases, history tricks, tmux, watch — terminal productivity patterns that compound
Sameer 13 min
📐 #21
Expert
Divya chases the invisible p99
Latency percentiles, iostat, vmstat, strace — measuring what you cannot see
Divya 14 min
📦 #22
Beginner WIN→
Vijay installs software without an installer wizard
apt, yum, pip — package management for Windows engineers
Vijay 11 min
📊 #23
Intermediate WIN→
Vijay monitors servers without Datadog
sar, Netdata, Prometheus, Uptime Kuma — free monitoring for Linux servers
Vijay 13 min
🐳 #24
Intermediate
Priya containerises everything
Docker, Dockerfile, Docker Compose — running apps the modern way
Priya 14 min
⏰ #25
Intermediate
Arjun automates the boring work
crontab, systemd timers, flock — scheduling jobs that actually run reliably
Arjun 12 min
💿 #26
Advanced
Nandini extends the disk at 3am
LVM, partitions, swap, filesystem resize — adding space without downtime
Nandini 13 min
⚙️ #27
Advanced
Rajan unlocks the kernel's hidden performance
sysctl, ulimits, file descriptors — tuning the OS for high-traffic production
Rajan 13 min
🗄️ #28
Advanced
Meera builds the backup system nobody questioned
tar, rsync, pg_dump, rclone — backups that actually work when you need them
Meera 14 min
🛡️ #29
Advanced
Suresh locks down the open server
ufw, firewalld, fail2ban, nmap — network security that takes an afternoon
Suresh 13 min
📝 #30
Advanced
Priya writes the postmortem that prevents the next incident
Timeline reconstruction, 5 whys, action items — turning incidents into improvements
Priya 13 min
🤖 #31
Advanced
Kavitha turns a GPU server into an ML platform
nvidia-smi, CUDA, Ollama, Jupyter — running AI models on your own hardware
Kavitha 14 min
🏗️ #32
Expert
Dhruv builds the system that never goes down
nginx load balancer, keepalived, PostgreSQL replication — real high availability
Dhruv 15 min
🗄️
All 18 chapters → MySQL
Beginner to Expert: understand databases, write queries, optimise performance, debug procedures, and keep production MySQL healthy.
🗄️ #1
Beginner
Rahul discovers why databases exist
What MySQL is, how to install it, and your first working database in one session
Rahul 12 min
🔍 #2
Beginner
Rahul asks the right questions
WHERE, ORDER BY, LIMIT, COUNT, GROUP BY — the complete SELECT toolkit
Rahul 13 min
🔗 #3
Beginner
Rahul connects his tables with JOINs
INNER JOIN, LEFT JOIN, aliases — combining two tables in one query
Rahul 13 min
✏️ #4
Beginner
Rahul writes, updates and deletes safely
INSERT, UPDATE, DELETE, ALTER TABLE — changing data without destroying it
Rahul 12 min
⚡ #5
Intermediate
Rahul speeds up the app with indexes
CREATE INDEX, EXPLAIN, slow query log — finding and fixing slow queries
Rahul 13 min
🔒 #6
Intermediate
Rahul makes operations atomic with transactions
START TRANSACTION, COMMIT, ROLLBACK, SAVEPOINT — all-or-nothing data changes
Rahul 12 min
🔁 #7
Intermediate
Priya stops writing the same query twice
Stored procedures, parameters, IF/ELSE — reusable database programs
Priya 14 min
👁️ #8
Intermediate
Priya creates windows into the data
Views, triggers — saving complex queries and automating audit logging
Priya 13 min
🐛 #9
Intermediate
Arjun learns to read error messages
Error 1045, 1064, 1062, 1452 — what every common MySQL error means and how to fix it
Arjun 13 min
🚑 #10
Advanced
Priya diagnoses the production crisis
SHOW PROCESSLIST, KILL, EXPLAIN ANALYZE, InnoDB status — live performance debugging
Priya 14 min
🔬 #11
Advanced
Arjun debugs the procedure that gave wrong answers
Debug selects, log tables, NULL traps, parameter shadowing — systematic procedure debugging
Arjun 13 min
🏛️ #12
Advanced
Priya scales the database and locks it down
Users and grants, read replicas, backups, my.cnf tuning — production-ready MySQL
Priya 14 min
🏎️ #13
Advanced
Priya masters advanced query optimisation
Covering indexes, query rewriting, partitioning — the craft of making queries fast
Priya 15 min
📐 #14
Advanced
Priya explains the data types developers get wrong
DECIMAL vs FLOAT, ENUM, TIMESTAMP vs DATETIME, JSON, timezone traps
Priya 13 min
💰 #15
Expert
Priya cuts the database bill by 60 percent
Unused indexes, fragmentation, connection pooling, Redis caching, my.cnf tuning
Priya 14 min
🚨 #16
Expert
Priya survives five production MySQL crises
MySQL won't start, too many connections, accidental delete, broken replication, table corruption
Priya 15 min
🏛️ #17
Expert
Rahul teaches the thinking behind good database design
Normalisation, when to denormalise, migrations, the optimisation decision tree
Rahul 14 min
🏆 #18
Expert
The team resolves a production incident using everything they know
Locks, deadlocks, bulk migration gone wrong — a real end-to-end incident resolution
Rahul, Priya, Arjun 15 min