Backend Engineering & System Design
How real systems are built — APIs, databases, caching, queues, scaling and the trade-offs behind them.
தமிழில் Backend, Cloud, AI மற்றும் Software Engineering கற்றுக்கொள்ளுங்கள்.
Backend Engineering, System Design, AWS, AI Agents, Data Engineering, Docker & Kubernetes and DSA — explained the way a friend would explain it, using open-source tools and hands-on tasks that build real-world skills.
🌱Open source at heart. Learn with the open-source tools the industry runs on — Linux, Python, PostgreSQL, Docker, Kubernetes, Airflow — and build in the open on GitHub. Organiser of TOSSConf 2025 & 2026.
Pick a track, or follow them in order. Every concept is explained simply in Tamil, with practical tasks you can put on your résumé.
How real systems are built — APIs, databases, caching, queues, scaling and the trade-offs behind them.
From cloud fundamentals to certification preparation — VPC, IAM, EC2, S3, WAF and more.
LLMs, RAG, AI agents and practical AI systems — build things that actually ship.
Patterns and problem-solving for technical interviews — understand the why, not just memorise answers.
Containers, orchestration and DevOps fundamentals, taught through stories and hands-on labs.
Pipelines, warehousing and orchestration — Python, SQL, PySpark, Airflow, dbt and Databricks.
Data Engineering is open for enrollment and starts October 12. The AI Agents, AWS and Kubernetes cohorts are already in progress — explore their syllabus and follow our WhatsApp channel to hear when the next batch opens.
Master modern data pipelines, warehousing and orchestration, with a strong focus on the Databricks Data Engineer Associate exam.
Build production-ready AI agents from scratch — from LLM fundamentals to autonomous, multi-agent pipelines.
Go from “I know services” to designing scalable, fault-tolerant, production-grade systems — through live building and real-world debugging.
Docker internals, multi-stage builds, CNI networking, Gateway API, eBPF and production Kubernetes cluster operations.
Sign in with Google and start learning. Track your progress and test yourself with quizzes after every module.
Installation, roles, querying, filtering, ER diagrams and joins, with hands-on tasks on the DVD Rental database.
Start free →Containers through stories and labs: architecture, images, Dockerfiles, port mapping, volumes and practical tasks.
Start free →Why version control matters, how Git came to be, setup, core terminology and hands-on exercises.
Start free →Users and tasks, wait times, events, response validation, step load and distributed load testing.
Start free →Quality engineering education shouldn't be expensive or confusing. Here's what makes this different.
Hard concepts broken down with everyday analogies — tea kadai, kitchens, bakeries — so they actually stick.
Many courses are completely free. Paid programs are priced for students and early-career engineers, not corporate budgets.
Every module ends with hands-on tasks and real code. You learn by building what's used in production.
Evening live sessions that fit around work or college. Missed one? Recordings are shared daily and stay with you for life.

Hi, I'm Syed Jafer K. I create practical, easy-to-understand content to help you learn software engineering and build real-world skills.
Through Parottasalna I've trained 1000+ students in backend engineering, AWS, Kubernetes, data engineering and AI — all in Tamil, and always with a focus on what you'll actually use at work.
Beyond teaching, I organise TOSSConf — 2025 and 2026 — and run free-software activities for the community, with hackathons, workshops and talks.
Parottasalna isn't just courses. We organise TOSSConf and free-software activities — hackathons, workshops and talks that bring the community together — and speak at community meetups.
🎤 Syed Jafer K — organiser of TOSSConf 2025 & 2026 · community speaker
In their own words, from our feedback forms.
In their own words — from students of our AI Agents, RAG, Kubernetes, System Design, Backend, Data Science and GenAI batches.
This course gave me a clear and practical understanding of Generative AI, LLMs, LangChain, RAG, tool calling, and AI Agents. The hands-on approach helped me understand how these concepts are used to build real-world AI applications and increased my confidence for AI Engineer interviews and projects.
The way you teach things from absolute scratch and not from an abstraction level really made me understand a lot of technical topics with much more depth. “I am able to explain why and how things work and know how to do it” — that would be the takeaway from the sessions.
This course provides a clear and practical understanding of RAG concepts, including embeddings, vector databases, chunking, retrieval, reranking, and RAG optimization techniques. The hands-on examples and doubt-clearing sessions helped me understand how to apply these concepts in my own projects.
This course gave me a practical understanding of Agentic AI, including how to build AI agents, integrate tools and manage workflows. It strengthened my understanding of agent architecture and gave me more confidence in building real-world AI solutions.
I now have the confidence to crack system design interviews.
Concepts are explained in the simplest way to understand. Doubts are clearly explained on the spot until everyone understands the concept — very useful for preparing for interviews.
If you want to change your role with the current trend, he is the best — and you can learn in your mother tongue. I can now change my role and attend interviews confidently.
The topics were taught in Tamil and English, the teacher's knowledge was in depth and I could understand them clearly. I learnt AI agent architecture from the bottom up — it will definitely help in interviews.
Clear explanation with simple examples and a practical approach to real-time issues. You can learn the basics very clearly and gain the confidence to be a developer.
The class was very informative and helped me fill gaps in my knowledge. I'm looking forward to applying these skills in my work.
Course contents are well structured and delivered with the best examples.
Prompt techniques, Ollama, the LangChain framework, memory optimisation, insights on RAG and vector databases, and automation tools like n8n. Overall it's a good learning experience on using GenAI.
It helped me a lot to learn about LLMs and Agentic AI, and I built a real-world project for interviews.
After this session I am clear on AI concepts.
Improved my knowledge and confidence in the topic.
Simplified teaching with live examples. Good job and keep it up!
Explanation in Tamil, with clarity. Good to get started, gain knowledge and make use of practical code.
I really got an idea of how to build a real system in an optimised, reliable and scalable way.
Got an insightful overview of how to design a system and the various techniques that industries use to optimise things.
I was able to understand system design concepts really well. I'm able to come up with ideas and ways through which I can design a system — API and queue concepts especially.
There is a lot of takeaway from the session, like the internal working of RabbitMQ and many new terms like the gossip protocol.
The key takeaway is to consider all the edge cases and scenarios that could arise while designing. Focus on design before implementation.
Never stop learning at only one stack — go deep. I have understood the areas I'm lacking in and I'm motivated to improve on them.
Yes. Concepts are explained in Tamil so they're easy to understand. Code, commands and technical terms stay in English, exactly as you'll use them at work.
No. Courses start from the fundamentals and build up one idea at a time. If you're new, start with Git and Python, then move to databases and backend.
Several self-paced courses — PostgreSQL, Docker, Git and Locust — are free forever. Sign in with Google and start right away. The live cohort programs are paid, at an affordable price.
Classes run in the evening (IST) on weekdays, and on weekends for AWS, so they fit around work or college. Every session is recorded and shared the same day, and you keep lifetime access.
Want to build with LLMs? Pick AI Agent Engineering. Aiming for cloud roles or the SAA-C03 certification? Pick AWS. Into DevOps and platforms? Pick Docker & Kubernetes. Working with data? Pick Data Engineering. Not sure? Mail us at learnwithjafer@gmail.com and we'll help you choose.
Once you sign in, every course has progress tracking and quizzes, so you always know what's done and what's next.
The courses focus on practical skills used in real companies — backend, cloud, DevOps and AI. There are no placement guarantees; the skills and the hands-on work are what make the difference.
For any queries — courses, enrollment or payments — send a mail to learnwithjafer@gmail.com. We'll get back to you.
Join 1000+ students building real-world skills in backend, cloud, data and AI engineering.
Have questions? Mail us at learnwithjafer@gmail.com