🎁 Get the free AI Engineer Portfolio App: ⚡ Master AI and become a high-paid AI Engineer: Machine learning engineer or AI engineer - which path should you take in 2026? Most people waste hundreds of hours chasing both paths simultaneously, not realizing these are completely different careers with different requirements, different day-to-day work, and different barriers to entry. This video breaks down the real differences so you can make the right decision and stop spinning your wheels. What You'll Learn: - The fundamental difference between AI engineers and ML engineers (and why it matters for your career) - Why AI engineering is booming right now and what the actual job looks like - The brutal truth about ML engineering competition and academic requirements - Why AI engineers are essentially software engineers with a new superpower - A real project walkthrough: building a local AI transcription app that cleans up messy recordings - Why AI engineers are actually future-proof (despite what the doomers say) Timestamps: 0:00 The dilemma between ML Engineer and AI Engineer 0:32 What do AI Engineers do? 1:55 What do ML Engineers do? 2:40 Which path is the right choice 3:16 How to become an AI Engineer 4:56 Why AI Engineering is future-proof Why did I create this video? Too many people are stuck in tutorial hell trying to learn everything at once. Pick your path first, then go deep. Connect with me: