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Day 0: Introduction
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DevOps vs SRE vs Platform vs Forward-Deployed Engineer: The Simplest Explanation
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Day 1: 100 Days of GenAI for DevOps: What Happens Inside an LLM When You Type a Prompt?
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Day 2: 100 Days of GenAI for DevOps: GPU Deep Dive
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Day 3: Understanding GPU Memory Requirements for LLM Inference
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Day 4 :100 Days of GenAI for DevOps: What does every word in ChatGPT mean?
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Day 5: DevOps GitHub PR Reviewer, using n8n and OpenAI
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Day 6: Debugging Linux Performance Issues Using CrewAI
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Day 7: Apache Log Analyzer Using LangChain and OpenAI
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Day 8: Introduction to AI Agents
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Day 9: DevOps Interview Buddy using n8n, Ollama, and Gemma
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Day 10: MCP for DevOps Engineers: GitHub & AWS MCP Servers
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Day 11: RAG for DevOps Engineers
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Day 12: Building Docker GPT Using LLM Fine-Tuning
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Day 13: AWS Bedrock for DevOps Engineer
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Day 14: AWS DevOps Agent
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Day 15: GenAI on Kubernetes
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Day 16: System Design for DevOps Engineer
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Day 17: vLLM: LLM Serving Framework
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Day 18: Kubernetes & GPU
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Day 19: Multi-GPU Inference
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Day20: Understanding LLM Inference: Prefill, Decode, and KV Cache
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Day21: Linux Performance Debugging
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Day22: Understanding user space vs kernel space in the Age of GenAI
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Day23: Linux memory management in the age of GenAI
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Day24: Linux I/O management
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Day25: Linux network management
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Day26: Linux Process Scheduler
Cracking the DevOps Interview
BONUS
NVIDIA-Certified AssociateAI Infrastructure and Operations
Google Gemma4
Building Grok2
Build 3 Practical AI Agent Projects for DevOps Engineers
