How to Become an AI Engineer (Without a Degree)

Are you dreaming of becoming an AI Engineer but feel discouraged by the lack of a formal degree or just don’t know where to start? In this comprehensive guide, I'll walk you through the 3 steps to become an machine learning or AI Engineer! We'll cover everything you need to know to kickstart your ML/AI engineering journey.

Level 1: Start Your Journey
Level 2: Level Up Your Skills
Level 3: Strategize for Success

#AIEngineer #MLEngineer #MachineLearning #SoftwareEngineering

🔗 Resources Mentioned:
==============
✅ FREE Study Plan to Learn AI/ML Engineering FAST with ChatGPT
✅ The Ultimate Resume Handbook
✅ Interview Prep Resources
✅ FREE ATS-Friendly Resume Template

🎙️Other programs you might be interested in
========================
👉Learn AI/ML engineering FAST with ChatGPT
👉AI/ML Engineer path - The Harsh Truth
👉Future-proof Your Tech Career Against AI: Best Coding Language to Learn
👉Who Pays More Than FAANG?? Highest Paying Companies in Tech

🖥️ My SETUP
========================

📣✨Connect with me
========================
I give advice for navigating your engineering career journey successfully.

⭐️About me
========================
Hi, I'm Jean, Founder of Exaltitude. I've been working in tech for the past 15 years as an engineer, an engineering manager, and a team builder. I was the 19th engineer at WhatsApp and worked with Facebook as an Engineering Manager for six years after the $19B acquisition. I'm excited to share the ins and outs of a Software Engineering career based on my experience as a hiring manager for top tech companies.

Credits
========================
🖼️ All images, graphics, and b-roll programs used in this video were sourced from Canva.

ERF
License code: VWPN0NNFNHAPMZ6N

* I may earn a small commission for purchases made through affiliate links on this website. This commission comes at no additional cost to you. Your support helps me continue creating content for you.

0:00 Preview
0:13 Intro
1:30 Outline
2:02 Level 1 - Start
5:14 Choice #1 - Give up, Switch Track, Next
6:33 Level 2 - Level Up
9:29 Choice #2 - Be Your Own Boss, Switch Track, Next
11:29 Level 3 - Strategize
12:10 Step 1 - The Ultimate Resume Handbook
13:04 Step 2 - Interviews
14:15 Step 3 - Offers

[lilunchengsmiles]

Based on my years of being ML engineer, here is my thought: one of the most significant challenges for AI engineers is managing the uncertainty inherent in the work. This includes:

1. Uncertain Outcomes: Despite extensive research and implementation efforts, AI projects may not yield the expected results, which can be highly frustrating.
2. Experimental Nature of Work: Much of AI development involves trial and error, reading academic papers, and testing various algorithms, without any guarantee of success. But once the solution you work so hard works and get adopted, this is very rewarding experience.

[linxiaopi]

It was refreshing to see that "give up" and "switch tracks" were given as options at the end of Level 1. Discovering that a career path or track isn't for you is a good thing, and switching paths or tracks is better than plodding on and getting into a career that you don't enjoy.
I'd love to see some suggestions (or a video) on good beginner ML projects to start wtih, especially ones that would build a good foundation and/or that can be "leveled up" to intermediate and advanced projects.

[anthonyb]

Thank you for posting this. I've just recently just started watching your other videos as well and there's such a large amount of great content that you're posting! Thank you and please keep it up. Coming from a recent coding bootcamp grad working my first software engineering job!:)

[CrystalHollis]

This is great advice! Thank you. Subscribed!

[matten_zero]

@4:27 I always just default to projects that I would use in my daily life. I've built job application automation tools, youtube vidéo chatbots, an AI language teacher etc. Best tip for newbies is pick something you want or need and build it.

[jayantmishra]

Hey your vides are quite good thank you!!

[davidge]

This is a really good video to explore how the AI career gonna be!
The steps are so clear, right now I just started study the AI as a student but I feel so confuse all the semseter, maybe i'm not trying really hard, thanks for this clear AI path advice!

[fidaeariyan]

hello and ty for this video u mean in the points of stop watching tutorials and start building means i can watch tutorial at the same time practice with them

[ΑναστάσιοςΜποτσιαλάς]

U are great... really the most ανθρωπινη voice i watch at yt.

[asparuhnestorov]

Its general HR talk about how to get a job. Nothing about AI in specific.

[DevAtul]

Hi,

Great insights and very genuine suggestions.
A little offtrack question. How do you edit your videos? They jump cuts are seamless.

thank you.

[ThunderPlayzminecraft]

What are you're thoughts on AI replacing jobs, Like web designing or fullstack devs. Although they wont completely replace the, wb the demand for full stack devs in the coming future?

[aymenfkir]

the honesty that she have on her words i just love it hhh

she was like "Just Give up" hhh

[jamestucker]

Good luck getting an AI engineer job without AT LEAST a bachelors, preferably a masters. I'd say someone without a degree should just work in web development and then try slowly switch over in their workplace.

[prachi-ky]

especially with its user-friendly interface. I’m curious, have any of you had hands-on experience with it? I'd love to hear your thoughts on how it stacks up compared to others out there.

[vincegenius]

Any advice for proficient software engineers for adding AI/ML engineering skills to our tech stack? (the end goal is to be able to apply to AI/ML engineer roles in addition to SWE roles)

[Frosty-tfts]

I'm a software engineer bachelor, but can i get ai engineering for masters degree and move on with ai cuz i like ai

[omotosoiyanu]

What would be your advice if someone is interested in AI /ML but language he knows now is Java

[DarkRaviForDeath]

Any tips for a mid-level data scientist to make this switch to AI engineering? It's common for data scientists to lack good software engineering skills since a lot of us don't have comp sci backgrounds (I have a MSc in math), and I only know Python, so what skills are the most important for me to get from here. Or should I just start building projects?

[vignesh_m_]

Is there a way to get into AI/ML with JavaScript (using Brain.JS, Tensorflow.JS, etc)??. I'm a Frontend Dev with around 6+ yrs of experience in React & Angular. How to go ahead with it now? Or is Python Mandatory??
Or is it a good option to not target AI/ML dev role and rather learn about consuming/integrating AI by exploring prompting techniques, Langchain.JS, etc....