Here’s a quick recap of what we shared on LearnXops—check out anything you missed 👇
👨🏻💻 AI Projects & Exclusive Content for XOps Pro Engineers! 🚀
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AI Security: Prompt Injection, Data Leakage & Supply ChainNew attack surfaces introduced by AI — and how to defend them at the infrastructure level (Day 19) 🗓 Date: April 30, 2026 |
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Project:AI-Powered Incident Response AgentLet's Build a Autonomous SRE AI agent (Day 18) 🗓 Date: April 29, 2026 |
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Project: AI-Powered AWS Idle Resource FinderBuild a useful AWS Cost Analyzer which identify underutilized or idle resources across all regions and use AI (Local LLM / Amazon Bedrock) to filter the TOP resources for removal (Day 17) 🗓 Date: April 28, 2026 |
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Project: AI-Powered Runbook AssistantBuild a production-ready RAG (Retrieval-Augmented Generation) app (Day 16) 🗓 Date: April 27, 2026 |
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Open-Source Models: Llama, Mistral & Running Locally and on the Cloud9Self-hosting LLMs Local Machines and on EC2/GKE with Ollama — when open-source beats API services (Day 15) 🗓 Date: April 26, 2026 |
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LangChain & LlamaIndex: When to Use What ?The two dominant orchestration frameworks compared — architecture choices for DevOps use cases (Day 14) 🗓 Date: April 25, 2026 |
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Building AI Agents: What They Are & How They WorkTools, function calling, ReAct loops — agents as autonomous automation workers (Day 13) 🗓 Date: April 24, 2026 |
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AI-Driven Observability & Log AnalysisUsing LLMs to parse logs, correlate alerts, and draft incident summaries automatically (Day 12) 🗓 Date: April 23, 2026 |
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AI for Infrastructure as Code: Terraform & PulumiGenerating, reviewing, and auditing IaC with AI — practical prompts and pitfalls (Day 11) 🗓 Date: April 18, 2026 |
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AI-Assisted Code Review & Static AnalysisGitHub Copilot, CodeRabbit, and custom review bots — how AI fits into your PR workflow (Day 10) 🗓 Date: April 16, 2026 |
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RAG: Retrieval-Augmented Generation ExplainedThe architecture pattern that gives AI real knowledge — and why every cloud team needs it (Day 9) 🗓 Date: March 29, 2026 |
Free Forever curated for everyone in the tech community. ❤️
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Embeddings & Vector Databases DemystifiedWhat vectors are, why semantic search matters, and how Pinecone/Weaviate/pgvector fit in (Day 8) 🗓 Date:March 23, 2026 |
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AI Safety, Hallucinations & Trust in ProductionWhy AI lies confidently and how to build guardrails as an infrastructure problem (Day 7) 🗓 Date: March 18, 2026 |
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Tokens, Context Windows & Why They Matter for CostHow to think about context limits, pricing models, and request optimization (Day 6) 🗓 Date: March 17, 2026 |
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AI APIs: OpenAI, Anthropic, Google & AWS BedrockComparing model APIs like you compare managed services (Day 5) 🗓 Date: March 8, 2026 |
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Prompt Engineering 101System prompts, few-shot examples, chain-of-thought — the new "config files" of AI (Day 4) 🗓 Date:March 7, 2026 |
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The AI Stack: From GPU Clusters to API CallsInfrastructure layers behind modern AI — how training and inference pipelines differ (Day 3) 🗓 Date: March 5, 2026 |
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How Large Language Models Actually WorkTokens, embeddings, transformers (Day 2) 🗓 Date: March 3, 2026 |
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What Is AI? A DevOps Engineer's Mental ModelML vs AI vs DL vs GenAI — cutting through buzzwords with infrastructure metaphors (Day 1) 🗓 Date: March 2, 2026 |
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