Data Centric Courses

Building AI Agents from Scratch - Simplified

3 ratings

Uncover AI agent mechanics and learn a basic pattern to build your own without intermediate libraries. Gain practical insights for custom AI development.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

Guide to the LLM Ecosystem: Hugging Face, GPUs, OpenAI, LangChain and More - Lecture 2

1 rating

Explore the LLM ecosystem, from Hugging Face to OpenAI. Gain insights on LLM functionality, infrastructure, and application development frameworks for building AI-powered solutions.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

I Built an Open-Source Rig That Measures Multi-Agent Architectures

Discover how to build and use an open-source measurement rig for evaluating multi-agent AI architectures, comparing performance against single-agent baselines and identifying scaling collapse points.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

Deloitte Refunds $440k After AI Slop Disaster - How to Avoid AI-Generated Content Quality Issues

Discover how AI-generated content quality issues cost Deloitte $440k and learn practical fact-checking methods to avoid similar disasters in your organization.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

If You Do It in a Browser - Claude Code + Skills + Playwright Can Do It Too

Discover how to automate repetitive browser tasks using Claude AI, Playwright, and custom skills to save 3+ hours weekly on lead generation and data scraping workflows.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Claude Code Reviews a 115-Page M&A Contract

Discover how Claude AI analyzes a 115-page M&A contract to identify critical closing conditions, demonstrating AI's potential for complex legal document review and contract analysis.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

DeepMind Tested 180 Agent Configurations - Here's What Broke

Discover when multi-agent AI systems outperform single agents through DeepMind's research on 180 configurations, coordination architectures, and scaling behavior predictions.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

AI Agents Can Only Pick Two - Fast, Cheap, or Smart

Explore the inference trilemma with Doubleword's co-founder: why AI agents must choose between fast, cheap, or smart, and how batch processing cuts costs 50%+ for scalable AI.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

You're the Bottleneck, Not the Agent - Rethinking AI Agent Engineering

Discover why experienced developers often become the limiting factor in AI agent development and learn to shift from over-engineering to effective testing and evaluation.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

10 Vibe Coding Traps That Destroy Enterprise Value

Discover 10 critical AI coding traps that create technical debt and security vulnerabilities, with actionable fixes based on Google SRE, OWASP, and NIST standards.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

AI Deep Research Is Broken - This Tool Checks the Facts

Discover how AI hallucinations damage professional work and learn to use fact-checking tools to verify AI-generated research content safely.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

Private LLM Server in 10 Minutes with vLLM for GDPR Compliance

Discover how to deploy a private LLM server using vLLM in under 10 minutes for GDPR-compliant enterprise automation without sending sensitive data to third-party APIs.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

The "Smartest" AI Models Are Useless at Real Jobs - Why Exam-Style Benchmarks Fail to Predict Professional Performance

Uncover why top AI models fail at real professional tasks despite excelling on academic benchmarks, analyzing GDPVal research and the gap between exam scores and workplace performance.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

Why MCP Servers Are The Key To Real AI Agents in 2026

Discover how Model Context Protocol (MCP) servers standardize AI agent tool interactions, solving reliability issues and enabling commercial viability through structured communication.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

The MIT Paper Everyone Building Agents Should Read Right Now - Recursive Language Models for Extended Context Windows

Discover MIT's Recursive Language Models (RLMs) that extend context windows 100x, handle 10M+ tokens effectively, and outperform base models on complex tasks without fine-tuning.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video