AI, Machine Learning, Data Science: Which is the Better Career скачать в хорошем качестве

AI, Machine Learning, Data Science: Which is the Better Career

🌟 Ready to learn AI or Machine Learning yourself? Check out Zero to Mastery (ZTM) 👇 Machine Learning Bootcamp https://links.zerotomastery.io/MLBoot... Tensorflow for ML engineers https://links.zerotomastery.io/tensor... Pytorch for ML engineers https://links.zerotomastery.io/pytorc... ML career path https://links.zerotomastery.io/MLcare... Career Quiz https://links.zerotomastery.io/CPQuiz... See more AI and ML courses https://links.zerotomastery.io/Course... AI is booming, but so are careers in Machine Learning and Data Science. If you've looked at tech job postings lately, you've seen titles like "AI Engineer," "ML Engineer," and "Data Scientist." But what's the actual difference between these tech jobs, and which job offers the best future in the age of AI? Let's break down the exploding tech job market in AI engineering, machine learning engineering, and data science, highlighting what’s driving demand and why these tech roles are getting harder to fill. We’ll compare salaries and compensation across tech careers, from median salaries to the highest-paid jobs at companies like Google and Cruise. Then we’ll lay the AI foundation by defining what AI, ML, and data science actually are, before exploring the major tech industry shift: thanks to pre-trained models and accessible APIs, individual AI engineers can now do what used to take entire ML teams. We’ll also talk through what a Machine Learning Engineer does, introduce a practical learning resource from Zero to Mastery for those wanting to build real-world skills, and then compare that with the AI Engineer role. Finally, we’ll look at the Data Scientist role, which often has a lower barrier to entry but still commands strong salaries. We’ll end by helping you decide which tech career fits you best, based on your interests, strengths, and career goals. Let’s dive in! #aiengineering #machinelearning #datascience 📎 Resources: ============== ✅ FREE AI ML Roadmap Self Study Plan (16-page PDF Guide) https://www.exaltitude.io/job-seekers... ✅ Download the FREE Job Search Keyword Toolkit in a PDF file https://www.exaltitude.io/resume-hand... ✅ The Ultimate Resume Handbook https://www.exaltitude.io/resume-hand... ✅ FREE ATS-Friendly Resume Template https://www.exaltitude.io/job-seekers... 🎙️Other videos you might be interested in ======================== 👉   • AI and Machine Learning Roadmap - For ANYONE!   👉    • From Beginner to Data Scientist (Free Reso...   👉   • Full Python Course in 10 Minutes: Free Lea...   👉   • Best Programming Languages to Learn in 2025   👉   • How To Make 2025 The Best Year: Effective ...   👉   • Resume to Land Software Engineer Interviews   👉   • What Skills You ACTUALLY Need to become an...   🖥️ My SETUP ======================== Sony Alpha 6700: https://amzn.to/4iccaSj 18-50mm F2.8 DC DN Sony Lense: https://amzn.to/3XwDti1 AMBITFUL 19.6"/50cm Mini SE Softbox https://amzn.to/3FXVSOw Godox SL60IIBi SL60II-Bi LED Video Lights https://amzn.to/4hQzljY Zoom F3 2-input Field Recorder https://amzn.to/43XSz3V The full list: https://www.amazon.com/shop/exaltitud... 📣✨Connect with me ======================== 💻 LinkedIn:   / jeanklee   ✉️ NEWSLETTE: https://www.exaltitude.io/newsletter 📲 Email for business inquiries: [email protected] 📌 Website: https://www.exaltitude.io/?utm_source... I give advice for navigating your engineering career journey successfully. ⭐️About me ======================== I’m Jean—founder of Exaltitude with over 20 years in tech. I was the 19th software engineer at WhatsApp before its $19B acquisition by Meta and later led engineering teams at Meta, witnessing firsthand how technology evolves and shapes the world. Now, I’m on a mission to break down how AI is transforming careers, industries, and the future of work. With AI revolutionizing how we work, learn, and live, I simplify these concepts to make them accessible to everyone—whether you're starting in tech, pivoting careers, or curious about AI’s impact. No hype. No jargon. Just real-world insights for navigating AI and what’s next. ⏱️ Timestamp: ============== 00:00 AI, ML, or Data Scientist? 00:52 Reality Check 02:07 Trends 5:00 What is AI 07:09 The Shift 8:00 ML Engineer 09:08 Resources 10:39 AI Engineer 13:52 Data Scientist 16:10 What Path Credits ======================== 🖼️ All images, graphics, and b-roll videos used in this video were sourced from Canva. 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.