<h2>About this course</h2>
<p>Learn <a href="/topics/pytorch">PyTorch</a> by implementing papers from scratch—YOLO, GANs, <a href="/topics/transformers">Transformers</a>, and more. Aladdin Persson is a respected educator in the <a href="/topics/deep-learning">deep learning</a> 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.</p>

<h2>What you'll learn</h2>
<ul>
<li>Build <a href="/topics/computer-vision">computer vision</a> models using YOLO and understand object detection from first principles</li>
<li>Implement Generative Adversarial Networks (GANs) and generate synthetic images</li>
<li>Code Transformer architectures from scratch and grasp attention mechanisms</li>
<li>Master PyTorch fundamentals: tensors, autograd, custom modules, and training loops</li>
<li>Debug and optimize <a href="/topics/neural-networks">neural networks</a> using PyTorch's profiling and logging tools</li>
<li>Reproduce research papers end-to-end, from math to working code</li>
<li>Deploy and test models on real datasets</li>
</ul>

<h2>Who this is for</h2>
<p>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.</p>
<ul>
<li>AI enthusiasts and self-learners — gain credible, portfolio-worthy experience implementing state-of-the-art models</li>
</ul>

<h2>Prerequisites</h2>
<p>Solid Python programming skills and basic understanding of machine learning concepts (neural networks, training, loss functions). Familiarity with NumPy is helpful but not required.</p>

<h2>Why this matters for Indian learners</h2>
<p>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 "<a href="/topics/ai-research">AI Research</a> 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.</p>

<h2>Frequently asked questions</h2>
<h3>Is this course really free?</h3>
<p>Yes. All videos are free on Aladdin Persson's YouTube channel—no premium tier, no hidden paywall. You just need a YouTube account.</p>
<h3>How long will it take to complete?</h3>
<p>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.</p>
<h3>Will I get a certificate?</h3>
<p>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.</p>

Aladdin Persson

Hands-on PyTorch tutorials — implementing papers (YOLO, GANs, Transformers) from scratch.

Aladdin Persson PyTorch Tutorials

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9 free AI courses from Google — covering generative AI, LLMs, prompt engineering, ML basics, and more.

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