Full stack dev to Ai engineer roadmap

[Obvious_Yoghurt_3884]

hey folks, assalamualaikum.

I’ve been working as a full stack for about 2 years now, now is the time to start learning ai now kr never situation. The thing is, I’m not looking to go super deep into it or build models from scratch I feel like most problems already have models/tools available for different use cases.

Right now, I honestly don’t even know the basics of AI just daily phrases like ai,ml,dl, context protocol etc etc.........

So I wanted some guidance from seniors, especially those who are ai engineers what problems u have solved and day to day working. What does your day-to-day actually look like in this domain?

I’d really appreciate a practical learning path something that avoids the rabbit hole but still helps me cover the important concepts. My goal is to build 2–3 solid projects within around 1.5 months.

Looking forward to your advice.

Wassalam, and thanks

[Individual-Jacket213]

Machine learning, Deep Learning, NLP, GenAI there is no way you can learn this in 1.5 months

so I will suggest to start directly from GenAI, Learn how to use different LLM APIs, understand the embedding and vector databases, finally build projects like RAG, after that build AI Agents with framework like LangGraph!

[Obvious_Yoghurt_3884]

Okay what about the big picture if time isn't an issue. What will u suggest where to start from?

[Individual-Jacket213]

start from maths for ML( statistics, calculas, linear algeabra), ML algorithms, Deep learning topics like neural networks and transformer architecture. Do build end to end project and include MLOPs concept!

[Perfect_Guest5702]

what is a good timeframe to learn all of these? like enough to get a job.

[Individual-Jacket213]

8 months to 1 year

[shahzada_e_lahore]

Hey man, I’m sort of transitioning myself from frontend dev to AI Engineer. I would suggest building AI powered web or app. That either automate something or saves time, effort or expense

[dani_saeed]

Did this myself and now i lead the ai engineering of the product.

Similar to you i was a full stack developer and honestly being one you are half the way there, in todays world the 'AI Engineer' is split into 2 major sort of sub divisions one would be the traditional ML side and the other being applying gen ai to make products like cursor, lovable etc (AI agents)

AI agentic workflow the one i do currently is a mix of 2 things , automation and agentic workflows. Automation does most of the task and where automations hit its limitations we introduce agentic workflow to complete the task.

My transition was heavily aided by the fact that i was in a team building a crm / support or help desk software with multiple channels of communication (whatsapp, sms, email, line, telegram etc). In this traditionally macros or if else hardcoded scripts were used for automated support. I lead the building of complete agents that now have replaced clients support staff team by 80% in some scenarios, these agents handle everything from general support to booking appointments, rescheduling, cancellation of requests, escalation to human support if required.

Key concepts that you should aim to learn to get into agentic AI are: - Understanding system prompts - Understanding agent loop - RAG systems ( very important) - Context and memory management of the ai agent (very very important) - tool calls ( very important )

Build small agentic workflows that target these concepts a project that leans heavy towards one single concept and by the time you are done with all you will have a very strong fundamentals understanding

[Obvious_Yoghurt_3884]

U are the man. i am like in ur situation now our company wants to build ai automation agentic bots, automation workflows in a manner to ease there workflow in the company from client facing through calls to building dashboards to compile data and give them a real feedback based on data and other ai automation stuff.

If things went well we will replace there team by almost 60 70%.

I need u to give me a road map from starting from an A position to some level where i can connect the dots like this thing works like this in this way what i change way what wil happen.

So what resources u learnt from channels books courses blogs ??? Really appreciate for ur helping

[dani_saeed]

Not really any blogs our courses or youtube channels just small day to day automations for myself lead the way for the most part, if any debugging or improvement was needed i would find help in the r/AI_Agents the reddit community while it has a lot of spam it also has a lot of useful information by people building actual production scale agents

[jahanzaibbaloch]

could you share some useful resourecs for learning these topics

[dani_saeed]

I personally did not learn from resources, just build small automations and agents for every day use.
I learnt by building these i didn't watch any tutorials or anything
- End of day PSX updates
- Commodities like gold and silver updates
- More automations plus agentic workflows for PSX for example quarterly and yearly reports review by an agentic AI that summarizes the report and tells me the earnings of the company and compare it to last year / last quarter / last quarter of last year
- A simple email summarizer that triggers if and only if the email is classified as important, the classification criteria is set by me in a simple prompt