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  1. Transform AI from a buzzword into a business advantage. This course equips leaders with the frameworks, tools, and confidence to identify high-impact AI opportunities and implement them responsibly.

  2. Building AI Agents with Ollama: A Practical Course
    Design, Build, and Deploy Production-Ready Local AI Agents with Ollama
    Steve Publications

    Build powerful AI agents without relying on the cloud. In this hands-on course, you'll learn how to create intelligent, production-ready agents that run entirely on your own hardware using Ollama. Starting with the fundamentals and progressing to advanced topics like RAG, tool calling, long-term memory, and multi-agent systems, you'll develop real-world applications through practical, copy-and-run examples. Whether you're building personal assistants, automation tools, or sophisticated AI workflows, this course gives you the knowledge and code to build fast, private, and reliable AI agents with confidence.

  3. Production AI Agents for Software Engineers
    Build reliable AI agents with tool calling, bounded control loops, validation, traces, and production engineering discipline.
    Kevin Languedoc

    Stop building fragile AI demos. Learn how to design, test, and operate AI agents like real software systems.

  4. No Description Available
  5. Pin-Up
    Pin-Up
    No Description Available
  6. Asyncio Without the Magic
    From Zero to Async Python You Actually Understand
    Ritesh Modi

    Learn Python asyncio from zero by building the event loop by hand. Six fetches go from 12 seconds to 3 on one thread, and you understand every line. Most asyncio tutorials throw async and await at you on page one. This course builds the event loop by hand first, in plain Python, so the keywords finally click. Six fetches drop from 12 seconds to 3, on one thread, and you understand every line. No magic. This interactive course has a companion book, Asyncio Without the Magic, on Leanpub at https://leanpub.com/asyncio . The book is the deep, cover-to-cover read; the course is where you make it stick with quizzes, build-it-yourself exercises, and runnable notebooks. They are built to be used together: read the idea in the book, then drill it in the course until it is yours. You get a lot from either one on its own, and the most by far from both together.

  7. Go beyond basic tutorials and learn how to design, deploy, and defend production-grade environments. This comprehensive blueprint bridges the gap between system administration, network architecture, and proactive cybersecurity.Whether you are setting up robust server infrastructures, orchestrating enterprise networks, or integrating cutting-edge defense systems like Wazuh and Fortigate, this course provides the exact, hands-on steps needed to implement secure and highly available digital infrastructures. What you will master inside:• Advanced Systems & Server Administration• Secure Network Design & Routing Orchestration• Active Threat Monitoring & Infrastructure Defense Blueprints

  8. Vectors & Embeddings: The One Idea Every AI System Is Built On
    Learn vectors & embeddings from zero and build a real AI semantic search engine. Free tools, no math fear. The first skill of every AI engineer.
    Ritesh Modi

    ChatGPT's memory. AI search. RAG. Recommendation engines. All of it stands on ONE idea — and almost nobody using AI actually understands it. This course takes you from absolute zero (no code, no math, no fees) to building your own AI search engine that finds things by meaning. In the age of AI, this is the line between people who prompt and people who build. Which side are you on?

  9. No Description Available
  10. A Cray Research veteran narrates how pioneers handled overwhelming complexity: pattern recognition anticipating Midway, systems thinking inventing magnetic core memory. Experience from one domain, applied in a new way, shaped supercomputing.

  11. The AI Coverup: Are We Really Hallucinating? (The Course)
    HPC Tradecraft Apprenticeship, Volume 1
    Edward W. Barnard

    What was so unusual and special about Cray Research? We accomplished, repeatedly, what nobody else on the planet was able to match. High-Performance Computing is not merely parallelism and large-scale systems. That is the public-facing decoy version.

  12. OpenClaw Operator OS
    Build an always-on AI assistant system with memory, skills, tools, schedules, and safety guardrails.
    Ricki Meaney

    Build a real AI assistant system with memory, tools, workflows, scheduling, and safety gates — not just prompts. Finish with a working Department Agent OS you can prove works.

  13. Master Longitudinal Data Wrangling using R
    Clean, Merge, and Reshape Panel Data Efficiently Using R
    Alexandru Cernat

    Turn messy longitudinal datasets into clean, analysis-ready data with efficient R workflows. In this course, you will learn how to merge and reshape panel data, clean variables, and automate data wrangling tasks commonly encountered in longitudinal studies. By the end, you will have a clear, reproducible workflow for preparing longitudinal data, so you can focus on answering research questions rather than struggling with messy datasets.

  14. Conveyor Failure Modes & Root Cause AnalysisMost conveyor failures don’t start as catastrophic events.They start small.A noisy idler. A slight belt drift. A minor splice crack. A small amount of belt scoring.Ignored long enough, those minor defects escalate into:• Longitudinal belt tears • Splice separation • Pulley slip and overheating • Structural damage • Major production downtime

  15. Why Conveyor Fundamentals Matter Most recurring conveyor failures are rooted in misunderstood basics:• Incorrect belt tension • Poor loading geometry • Improper idler spacing • Weak structural alignment • Drive system mismatchWhen fundamentals are wrong, maintenance becomes reactive — and failures repeat.This module ensures you understand the mechanical logic behind conveyor behavior so that future reliability decisions are based on engineering principles, not guesswork.