u/AsleepTitle3741

Looking for genuinely valuable courses in:

• AI/ML
• Deep Learning
• Generative AI
• Agentic AI
• LLMs & RAG
• MLOps

I don’t want random “certificate” courses. I want courses that:

• Help build a strong GitHub/portfolio
• Are respected by recruiters/startups
• Include real-world projects
• Teach practical implementation properly

Please suggest the BEST courses you’ve personally found useful (paid or free).

Looking for genuinely valuable courses in:

• AI/ML
• Deep Learning
• Generative AI
• Agentic AI
• LLMs & RAG
• MLOps

I don’t want random “certificate” courses. I want courses that:

• Help build a strong GitHub/portfolio
• Are respected by recruiters/startups
• Include real-world projects
• Teach practical implementation properly

Please suggest the BEST courses you’ve personally found useful (paid or free).

Hey everyone,

I’m currently pursuing BE in Computer Engineering (Mumbai University) and I’m trying to make a clear long-term decision about my career path. I’d really appreciate advice from people already working in AI, finance, or related fields.

Here’s my situation:

• I’m strongly interested in AI, and I’ve already built multiple AI-based projects.
• I plan to also explore blockchain and possibly combine it with AI in the future for a serious project/startup.
• At the same time, I have a deep interest in finance and stock markets, I’ve been learning about it since school, actively invest/trade, and have even built projects related to algorithmic trading / quantitative finance.

So right now, I see 3 possible paths:

1. Core AI Engineering (Primary Interest)

• Continue in AI development
• Get a job as an AI/ML engineer
• Build strong technical expertise (Agentic AI, ML systems, etc.)
• Possibly build an AI startup later

Confusion:
If I go deep into AI engineering, does doing an MBA even make sense later? It feels irrelevant for a developer role.

2. AI in Finance / Quant Path (Second Option)

• Prepare for CAT in 3rd/4th year
• Do MBA in Finance (NMIMS / SPJIMR type colleges)
• Simultaneously pursue CFA / NISM certifications
• Work in areas like:
  • Portfolio management
  • Quant roles
  • Investment analysis using AI

This path aligns with both my technical + finance interests, but I’m unsure how strong this combination really is in India, as some people said that MBA in finance becomes a 180 degree turn from my BE in computer engineering.

3. AI-based Startup (Long-term goal)

• Build something impactful using AI
• Either product-based or service-based AI company
• But currently I don’t have a “breakthrough idea” yet

Main Questions:

1. If I want to go deep into AI development, what should I do after BE instead of MBA? And is there any other degree related to AI which I can pursue instead of ME, MS or MBA?
2. How valuable is AI + Finance (Quant / AI in portfolio management) in India realistically?
   • Is it worth doing MBA + CFA for this?
3. Does doing an MBA after engineering hurt or help if I still want to stay somewhat technical?
4. If you were in my position, which path would you choose and why?
5. What skills/projects should I focus on right now (during engineering) to maximize opportunities in AI?

I’m not looking for generic advice, I’d really appreciate insights from people working in:

• AI/ML engineering
• Quant/finance roles
• Startups

Thanks in advance!

Hey everyone,

I’m currently pursuing BE in Computer Engineering (Mumbai University) and I’m trying to make a clear long-term decision about my career path. I’d really appreciate advice from people already working in AI, finance, or related fields.

Here’s my situation:

• I’m strongly interested in AI, and I’ve already built multiple AI-based projects.
• I plan to also explore blockchain and possibly combine it with AI in the future for a serious project/startup.
• At the same time, I have a deep interest in finance and stock markets, I’ve been learning about it since school, actively invest/trade, and have even built projects related to algorithmic trading / quantitative finance.

So right now, I see 3 possible paths:

1. Core AI Engineering (Primary Interest)

• Continue in AI development
• Get a job as an AI/ML engineer
• Build strong technical expertise (Agentic AI, ML systems, etc.)
• Possibly build an AI startup later

Confusion:
If I go deep into AI engineering, does doing an MBA even make sense later? It feels irrelevant for a developer role.

2. AI in Finance / Quant Path (Second Option)

• Prepare for CAT in 3rd/4th year
• Do MBA in Finance (NMIMS / SPJIMR type colleges)
• Simultaneously pursue CFA / NISM certifications
• Work in areas like:
  • Portfolio management
  • Quant roles
  • Investment analysis using AI

This path aligns with both my technical + finance interests, but I’m unsure how strong this combination really is in India, as some people said that MBA in finance becomes a 180 degree turn from my BE in computer engineering.

3. AI-based Startup (Long-term goal)

• Build something impactful using AI
• Either product-based or service-based AI company
• But currently I don’t have a “breakthrough idea” yet

Main Questions:

1. If I want to go deep into AI development, what should I do after BE instead of MBA? And is there any other degree related to AI which I can pursue instead of ME, MS or MBA?
2. How valuable is AI + Finance (Quant / AI in portfolio management) in India realistically?
   • Is it worth doing MBA + CFA for this?
3. Does doing an MBA after engineering hurt or help if I still want to stay somewhat technical?
4. If you were in my position, which path would you choose and why?
5. What skills/projects should I focus on right now (during engineering) to maximize opportunities in AI?

I’m not looking for generic advice, I’d really appreciate insights from people working in:

• AI/ML engineering
• Quant/finance roles
• Startups

Thanks in advance!

Hey everyone,

I’m a 2nd year engineering student from India currently exploring Agentic AI systems, and I’m looking to build a serious, production-level project that can be deployed and used by real users.

Here’s a quick snapshot of what I’ve already built:

* Visitor Management CRM

* IntelliTrail - AI based trailing stop loss system

* AI Resume Builder

* NLP-based application

* Traffic Management System (violation detection, congestion prediction, route optimization using maps)

* Bot for finding and filling forms for eligible schemes and subsidies for farmers across all states of India

* Full-stack service platform (Mr. Handy)

* Java-based Canteen Management System

* ML pipeline for comparative literature analysis

Currently, I’m learning Agentic AI (multi-agent workflows, autonomous decision systems) and working on 2 ongoing projects in this domain.

Now I want to build something:

* Has real-time users

* Solves a real-world problem

* Is strong enough to be my final year project + portfolio flagship

I’m not looking for generic ideas, I want something industry-level, scalable, and impactful.

Would love suggestions on:

* Unique agentic AI project ideas

* Problems worth solving

* Tech stack recommendations (LangChain, AutoGen, etc.)

* Monetization or real-world deployment strategies

Thanks in advance 🙌