The Fastest Way To Become A Machine Learning Engineer

→ In this video we will talk about the fastest way to maximize your time and still maximize your learning and talent.

1. Learn Basic ML
2. Look at jobs (specifically pick 3-5 roles, don’t be company specific, be technology/concept specific)
3. Focus on advanced ML on specific concepts
4. Do projects on those specific concepts
5. Build a fantastic resume + Learn to talk about yourself
6. Look at startups or google the companies that work with the technologies you are interested in.

00:00 - Intro
00:29 - Step 1: Machine Learning Basics
01:08 - Step 2: Look at Dream Jobs
04:00 - Step 3: Learn Advanced Machine Learning
07:14 - Step 4: In-depth Machine Learning Project
08:45 - Step 5: Building a Fantastic Resume for ML + Building communication skills
10:23 - Step 6: Start applying for ML roles

🛤️ NEW Machine Learning Roadmap 2024 Website:

Join me on #100DaysOfML and follow along to learn machine learning!

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LINKS:
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🛤️ NEW Machine Learning Roadmap 2024 Website:

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[himanshusekharnayak]

Top 5 machine learning projects to showcase in resume. May be this can be a next video?

[Jelvix]

Really helpful. We also see much perspectives in ML engineering. In our last video our colleague who is a Machine Learning Engineer explained his job through an example of the latest AI project he completed at Jelvix. He even shared his work schedule

[jamesvalencia]

Always it's a pleasure listen to you Smitha. My favorite moment was when you shared the job offer and tells us the main skills to achieve the role's requirements.

[yakuubabdul-muumin]

The most realistic path guide.

Other creators will tell you seek X/y skills but the field is vast. ..
And it’s imperative to acquire peculiar skills related to their specific roles

[carlosgabrieldiasfontes]

i clicked on your video cause i wanted to know how to become a ML engineer, now i'm stucked on it cause you so beatiful though

[Jerry-ucpn]

This was helpful. Especially the part about going in-depth on specific ml projects instead of doing a wide variety of projects.

[adebobajoinioluwa]

Wow thanks for this video! It was helpful. Please, can you give us a list of website that lists ML job postings? I'm also looking forward to the video on ML resume building.

[FarhanHussain]

Great video! Projects are a must if you want to learn ML.

[AIMaster]

Sure, I would like to know more on how to create a good machine learning resume and thank you for this information.

[saeedanwarmehmood]

your video is so helpful
I want to know how a college student can learn ml while I just completed 1st course of machine learning from Coursera but what are the things that a university student should do

[Zale]

TLDW:
00:00 💡 The fastest way to become a machine learning engineer is to follow a specific timeline and focus on quality.
01:10 💡 Look at specific job roles within machine learning that interest you, rather than a general search.
02:45 💡 Identify the skills required for the roles you're interested to guide your learning.
04:06 Learn advanced machine learning specific to the skills needed for your desired job roles.
07:25 💡 Create one or two in-depth machine learning projects related to your desired job roles.
08:48 💡 Build a powerful resume and effectively communicate your projects and skills.
10:24 💡 Apply for roles, experiment, and make changes to your resume based on feedback and experience.

[chisomedoka]

Thanks Smitha, I always look forward to your contents very very helpful

[RokeyCODM]

Hey i like the idea of searching job descriptions but dont know any where to search, can u help me

[ubpzupr]

Do you happen to know of any hiring managers who look at projects? I have heard others say they only care about professional experience, and won't even click a github link. I'm wondering what companies look at projects. Eg I know FANG do not look at projects.

[__chroma__]

Hi, Im a 17-year-old student super interested in ML. I have 2 certifications in python, and just did a passion project using sklearn regression models, with a huge dataset from the European Space Agency. I have created a neural network using PyTorch, and did a computer vision project for school. I also completed the Microsoft Azure AI engineer course on the azure cloud platform, and I work with Microsoft Access Databases and SQL in school. The only problem I'm having is, I don't know where to put my next efforts into more. Do I start projects regarding SQL and Data pipelines?Or do I start building more ML models, and hyper tune them using kernels? Or do I start learning a new ML library? Also, I know that ML jobs require a lot of experience, so have I started too late?

[AkashJadhav-bufq]

Hello Smitha
I'm preparing for Machine Learning Engineer role. To clear the interview apart from Machine learning Algorithm, deep learning and NLP. which Will help me data enginner or DevOps tools??

[sreekartammana]

Yes akka, would love to see detailed video on resume✨

[happinessisharmony]

You are a blessing ❤God bless your parents to have created you… you saved me time

[kishaansutharsan]

Insightful video! Thank you! I would be interested in seeing how to build. a really good ML Engineering resume (especially since I am just getting started but want to make the career transition from a non-tech background)

[prabhasraj]

Good video! I am interested to see a detailed video on resume🙂