New section
-
Day 0: Introduction
-
Day 1: 100 Days of GenAI for DevOps: What Happens Inside an LLM When You Type a Prompt?
-
Day 2: 100 Days of GenAI for DevOps: GPU Deep Dive
-
Day 3: Understanding GPU Memory Requirements for LLM Inference
-
Day 4 :What does every word in ChatGPT mean?
-
Day 5: DevOps GitHub PR Reviewer, using n8n and OpenAI
-
Day 6: Debugging Linux Performance Issues Using CrewAI
-
Day 7: Apache Log Analyzer Using LangChain and OpenAI
-
Day 8: Introduction to AI Agents
-
Day 9: DevOps Interview Buddy using n8n, Ollama, and Gemma
-
Day 10: MCP for DevOps Engineers: GitHub & AWS MCP Servers
-
Day 11: RAG for DevOps Engineers
-
Day 12: Building Docker GPT Using LLM Fine-Tuning
-
Day 13: AWS Bedrock for DevOps Engineer
-
Day 14: AWS DevOps Agent
-
Day 15: GenAI on Kubernetes
-
Day 16: System Design for DevOps Engineer
-
Day 17: vLLM: LLM Serving Framework
-
Day 18: Kubernetes & GPU
-
Day 19: Multi-GPU Inference
-
Day20: Understanding LLM Inference: Prefill, Decode, and KV Cache
-
Day21: Linux Performance Debugging
-
Day 22: What Does the “Chat” in ChatGPT Mean? - Hindi
-
Day 23: What Does the “G” in ChatGPT Mean?
-
Day24: What Does the “P” in ChatGPT Mean?
-
Day25: System Design from Scratch: Scaling from 100 to 100,000 Users
BONUS
NVIDIA Certified AssociateAI Infrastructure and Operations
Build 3 Practical AI Agent Projects for DevOps Engineers
