AI-Assisted DevOps - 10-Day Course Syllabus

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Day 1: Introduction to AI for DevOps

📌 Topics

• Why AI is a game-changer for DevOps

• Overview of Generative AI and LLMs (without deep theory)

• Popular AI tools for DevOps Engineers.

• Hands-on: Create a GitHub repository that contains a bash script. when executed the bash script confirms the health of a virtual machine by looking at the parameters such as cpu, disk space, memory e.t.c.,. Please note that the bash script should also support a command line argument named "explain", when passed, "explain" provides the detailed summary of the health status.

🛠 Mini-Challenge

• Try the hands-on demonstration explained in the video.

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Day 2: Prompt Engineering Masterclass

📌 Topics

• Fundamentals: Tokens, temperature and max tokens.
• Techniques: Zero-shot, few-shot, n-shot, and Chain-of-Thought (CoT) prompting
• Writing structured prompts for DevOps use cases
• AI-generated regex, Bash scripts, Terraform, and CI/CD configurations

🛠 Hands-on

• Live Demo: Demonstrate an example of few shot prompting in real time.

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Day 3: Running LLMs Locally & Making API Calls

📌 Topics

• Running LLMs locally (Ollama, LM Studio, GPT4All)
• Calling AI via APIs (OpenAI, Mistral, LLama, Deepseek e.t.c.,.)
• Python script to invoke ollama api

🛠 Hands-on

• Dockerfile Generation "Call Ollama endpoint to auto-generate Docker manifests using llama3 model"

🛠 Mini-Challenge

• "Call an AI API to auto-generate Kubernetes manifests using llama3 model"

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Day 4: AI-Powered Shell Scripting & CLI Automation

📌 Topics

• Using AI to improve Bash/Python scripting
• AI-assisted Shell Scripting

🛠 Hands-on

• Mini-Challenge: "Generate a shell script to create VPC in AWS with all the best practices"

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Day 5: AI for Observability & Incident Response

📌 Topics

• Introduction to AIOps
• What is AIOps and What is not ?
• AI-powered monitoring with Enterprise Observability Platforms

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Day 6: AIOps - AI for IT Operations

📌 Topics

• AIOps Recap?
• AI-powered Log Analysis
• Using AI for anomaly detection (Python)

🛠 Hands-on

• Demo: "Use AI to predict server failures or app failures based on logs"

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Day 7: AI Agents for DevOps (Hands-on)

📌 Topics

• What are AI Agents? How do they work?
• Create your very First AI Agent in simple steps.

🛠 Hands-on

• Project: Build a project using simple AI agents that performs a research and writes a detailed analysis in blog style.

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**Day 8: AI Agents for DevOps **

📌 Topics

• Build an AI Agent for your Internal tools and documentation using CrewAI
• In house AI Agents

🛠 Hands-on

• Build an AI agent to read internal documentation(PDF) and train it to answer user queries.

Day 9: AI for Security & FinOps (Cost Optimization)

📌 Topics

• WIP

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Day 10: Capstone Project & Future of AI in DevOps

📌 Topics

• Build an AI Agent
• AI Agent for DevOps usecase
• Deploy the AI Agent to Kubernetes

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