Intermediate Track

GPU Efficiency Playbook: Undervolt, Fan Curves, and VRAM Pad Upgrades for 24×7 Compute Around-the-clock compute pushes graphics cards far beyond “gaming for a few hours.” Machine learning training runs, render farms, scientific compute, and validators demand weeks of continuous duty. This playbook shows you how to cut 10–35% power draw, shave 5–20°C from hotspot temps,

Why Every Web3 Builder Should Understand AI Now More Than Ever Web3 is programmable value; AI is programmable knowledge. The two are colliding into a new stack where agents have wallets, data has provenance, models earn and pay, and governance is increasingly mediated by machine intelligence. This masterclass explains the convergence, what’s real, what’s hype,

AI + DeFi: Smarter Trading, Better Risk Models, or Just Hype? Decentralized finance (DeFi) promises open, programmable markets; artificial intelligence (AI) promises pattern discovery and automation at scale. Put them together and you hear bold claims: alpha on tap, robots that never sleep, risk models that avert crises. This deep-dive separates signal from noise. We’ll

The Future of AGI: How Close Are We to Superintelligent Machines? “Artificial General Intelligence” (AGI) is both a destination and a moving target. As AI systems pass more exams, write code, and reason across domains, the question deepens: how close are we to machines that can learn anything we can, and perhaps more? This masterclass

How AI Models Are Trained — Step-by-Step with Real World Examples The world’s most useful AI systems didn’t appear overnight. They’re the product of a disciplined pipeline: data collection, curation, labeling, model choice, objective design, optimization, evaluation, deployment, and continuous improvement. This masterclass walks through that pipeline end-to-end with concrete examples, vision, language, recommendation, timeseries,

The Black Box Problem in AI: Why It’s So Hard to Trust Algorithms AI systems are powerful pattern machines, but their internal logic is often opaque even to their creators. That opacity is known as the black box problem. In high-stakes settings, credit, healthcare, hiring, criminal justice, critical infrastructure, opacity undermines trust, accountability, compliance, safety,

What Are Transformers in AI? Understanding the Tech Behind GPT-4 Transformers are the engine of modern AI. They turned language modeling from an academic niche into a general-purpose capability that now writes, reasons, codes, and converses. This deep-dive explains how transformers work from tokens and embeddings to self-attention, multi-head layers, positional encodings, residual pathways, pretraining,

From Prompt to Profit: How to Build with AI Without Coding You don’t need to be a software engineer to build AI products anymore. With modern no-code and low-code tools, you can prototype, launch, and monetize AI workflows using nothing more than clear thinking, structured prompts, and good taste. This masterclass is your end-to-end blueprint,

What Is Natural Language Processing? How AI Understands Us Natural Language Processing (NLP) is the field of AI that enables computers to read, write, and converse turning human language into structured signals machines can act on. From autocomplete and spam filters to translation, chat assistants, and document intelligence, NLP now sits in almost every digital