30 hrs
Learn PyTorch by implementing papers from scratch—YOLO, GANs, Transformers, and more. Aladdin Persson is a respected educator in the deep learning community, known for breaking down complex architectures into digestible, hands-on tutorials. This course bridges the gap between theory and real code, showing you exactly how foundational AI models work under the hood.
If you're serious about AI engineering—whether you're building your portfolio, preparing for a job in AI/ML, or deepening your technical foundation—this course accelerates your learning through proven patterns and working examples.
Solid Python programming skills and basic understanding of machine learning concepts (neural networks, training, loss functions). Familiarity with NumPy is helpful but not required.
AI engineer roles in India—at startups, tech giants like TCS, Infosys, and Wipro, or emerging AI labs—increasingly demand hands-on model implementation skills, not just theory. Companies hiring for roles like "ML Engineer" or "AI Research Engineer" expect you to code architectures, not just call APIs. This course gives you the exact depth that hiring teams in Bangalore, Hyderabad, and Mumbai look for, especially for mid-level and senior roles where salaries range from ₹15–40+ lakhs depending on experience and company tier.
Yes. All videos are free on Aladdin Persson's YouTube channel—no premium tier, no hidden paywall. You just need a YouTube account.
Plan for about 30 hours total. If you dedicate 5–7 hours per week, you'll finish in 4–6 weeks. Go faster if you're comfortable; slow down if you need to revisit concepts or experiment with code variations.
No formal certificate is issued. However, you'll have real, working code in your GitHub—projects that speak louder than a certificate on any resume.