Frontend vs Backend vs Database 👇
Frontend → What users see
Backend → Business logic
Database → Stores data
Think of it like a restaurant:
🍽️ Frontend = Waiter
👨🍳 Backend = Chef
📦 Database = Pantry
Simple.
How to become AI engineer in next 6 months:
By the end, you want to be able to:
- build LLM apps end-to-end
- use APIs from OpenAI / Anthropic / open-source stacks
- design prompts and context properly
- add tool calling and structured outputs
- deploy real projects
So, let’s discuss your roadmap month by month
Month 1: Get solid enough in coding and fundamentals
What to learn:
- Python really well
- Git + GitHub
- CLI / terminal basics
- JSON, APIs, HTTP, async basics
- basic SQL
- basic data handling with pandas
- virtual environments, package management, error handling
- FastAPI or Flask
Month 2: Master LLM app development
What to learn:
- prompting fundamentals
- system vs user instructions
- structured outputs / JSON schemas
- function/tool calling
- streaming responses
- conversation state
- cost / latency / token basics
- failure handling
- prompt injection awareness
Month 3: Learn RAG properly
What to learn:
- embeddings
- chunking
- vector databases
- metadata filtering
- reranking
- retrieval quality issues
- hallucination reduction
- citations and grounding
Month 4: Agents, tools, workflows, evals
- agent loops
- tool selection
- state management
- retries
- when NOT to use agents
- multi-step workflows
- evaluation harnesses
- task success metrics
Month 5: Deployment, product thinking, and reliability
What to learn:
- FastAPI production patterns
- Docker
- background jobs
- queues
- auth + API key security
- logging
- observability
- prompt/version management
- eval dashboards
- cost monitoring
- rate limits
- caching
Month 6: Specialize and become hireable
these knowledge and skills you gained can be applied in three directions
you need to choose one of them and focus on practice
although everything mentioned above is also best learned purely through practice
Direction 1: AI product engineer
Best if you want startup jobs fast
Focus on:
- LLM apps
- RAG
- agents
- deployment
- product UX
Direction 2: Applied ML / LLM engineer
Focus on:
- fine-tuning
- when to fine-tune vs prompt
- evaluation
- inference optimization
- open-source models
- training pipelines
Direction 3: AI automation engineer
Focus on:
- workflow orchestration
- business process automation
- multi-tool systems
- CRM, docs, email, support, ops use cases
This roadmap will help you go through a practical path, and the key is to study each of these points and then test them in real work
By month six, you will already have several built products or examples of completed tasks
And it will be much easier to get a job as an AI engineer
Save it so you don't lose it and can return to study later
If you’re a founder struggling to market your app, you need to read this.
My app crossed $10k/mo in 90 days after launching, and here is exactly what I did to achieve this feat.
it literally doesn’t get any simpler:
1. Create 3 Instagram UGC accounts
2. Copy your competitors viral UGC content
3. Post 2x everyday on each account
if you can’t even do this, then you’re not built for entrepreneurship.
and I’m being so fr, it doesn’t get any simpler, this is your wake up call.
JAVASCRIPT IS DEAD.
REACT IS DEAD.
NODE.JS IS DEAD.
NEXT.JS IS DEAD.
EXPRESS IS DEAD.
TYPESCRIPT IS DEAD.
VUE IS DEAD.
ANGULAR IS DEAD.
PYTHON IS DEAD.
DJANGO IS DEAD.
FLASK IS DEAD.
FASTAPI IS DEAD.
JAVA IS DEAD.
SPRING IS DEAD.
KOTLIN IS DEAD.
PHP IS DEAD.
LARAVEL IS DEAD.
C++ IS DEAD.
RUST IS DEAD.
GO IS DEAD.
C# IS DEAD.
RUBY IS DEAD.
RAILS IS DEAD.
SWIFT IS DEAD.
DART IS DEAD.
FLUTTER IS DEAD.
SCALA IS DEAD.
SQL IS DEAD.
TAILWIND IS DEAD.
SASS IS DEAD.
FIGMA IS DEAD.
It’s interesting how every few months, developers declare a language, stack, or framework “dead,”
while those same tools continue powering billion-dollar companies behind the scenes.
Languages don’t really die.
Trends shift.
The developers who endure aren’t the ones constantly chasing what’s new.
They’re the ones who focus on the craft beneath the syntax.
Hype comes and goes.
Skills take time to build.
Tools may change, but strong fundamentals last.
Pick one language.
Learn it deeply.
Build real things.
Mastery still gets hired.
Funny how these YRF stars know nothing about YRF 🙏
Question - Did you watch Alpha?
Kareena - Yeah, It was a great watch
Interviewer - Which one did you find better, Dhurandhar or Alpha?
Kareena - For me, it's Alpha. Dhurandhar had too much fiction. I prefer Alpha because of its action sequences
Interviewer - No way mam. As if Alpha isn't fiction. Dhurandar's fiction is at least somewhat close to reality. Secret missions like that could be happening somewhere and it has real people and real stories behind it
Kareena - You obviously don't know how to make movies more than Yash Raj films na !!
Interviewer - Obviously. I couldn't write a script where spies fly with wings without a wrinkle on their face, Pakistani spies help India, Indian spies betray their own country for Pakistani girls and Pakistani spies live in India for years unnoticed
Kareena had no reply for this. I hope that guy won't lose his job 🙏
Vishal Agarwal, father of Ketan Agarwal, has written an email to President Droupadi Murmu.
“I am writing this email with a heart full of pain and hope. I am not writing as a businessman or someone with influence. I am just a father seeking justice for my son.
Within just 20 days of losing Ketan, I also lost my own father. He loved his grandson more than anything. He could not bear the shock and grief of Ketan's death. In just 20 days, I lost both my son and my father. Our family has been shattered.
We are not asking for any special treatment. We only want this case to be heard in a fast-track court so that justice is delivered at the earliest. Delay in justice only increases the pain of families like ours.
Please don't let my son's case become just another file. Behind this case is a family that has lost everything.”
- Linux is free
- Docker is free
- Kubernetes is free
- Git and Github are free
- GitHub Actions is free
- Python is free
- AWS, GCP, Azure are free (limited use)
- Terraform is free
- ArgoCD and Flux are free
- Prometheus and Grafana are free
all you need is a laptop and internet.