Module 1:

Introduction to AI

Before we discuss LLMs, Bedrock, or AIOps, let's understand the hierarchy.

Artificial Intelligence (AI)
        │
        └── Machine Learning (ML)
                  │
                  └── Deep Learning
                            │
                            └── Generative AI
                                      │
                                      └── Large Language Models (LLMs)

Think of it like:

Cloud
 └── AWS
      └── EC2

Not every AWS service is EC2.

Similarly:

• Not every AI system is an LLM.
• Not every ML model is Generative AI.

---

What is Artificial Intelligence?

AI is a system that attempts to perform tasks requiring human intelligence.

Examples:

• Face recognition
• Self-driving cars
• Voice assistants
• Chatbots

DevOps Example:

Imagine CloudWatch detects:

CPU = 95%
Memory = 85%

A traditional monitoring tool only alerts.

An AI system might say:

The recent deployment likely caused memory leaks. Consider rollback.

That reasoning capability is AI.

---

What is Machine Learning?

Machine Learning is a subset of AI.

Instead of explicitly coding rules:

if cpu > 80:
    alert()

We train a model using historical data.

Example:

Past data:

CPU
Memory
Response Time
Status

The model learns patterns.

Now it can predict:

This server will likely fail within 30 minutes.

without explicit rules.

---

DevOps Analogy

Terraform:

instance_type = "t3.medium"

You define everything.

Machine Learning:

Historical Data
       ↓
Training
       ↓
Model learns patterns

You don't explicitly define every rule.

---

What is Deep Learning?

Deep Learning is a type of Machine Learning that uses neural networks.

Example:

Image
  ↓
Neural Network
  ↓
Cat

or

Log Message
  ↓
Neural Network
  ↓
Root Cause

Deep Learning powers modern AI systems.

---

What is Generative AI?

Traditional ML predicts.

Example:

Will server fail?

Answer:

Yes

Generative AI creates new content.

Example:

Explain why the pod is restarting.

Response:

The pod is restarting because
the application failed health checks...

It generates text.

---

What is an LLM?

LLM = Large Language Model.

Example

OpenAI GPT models Anthropic Claude Meta Llama Google Gemini

An LLM predicts the next token (word fragment).

Example:

Kubernetes is a container ______

The model predicts:

orchestration platform

At massive scale.

---

DevOps Mapping

DevOps Concept	AI Concept
Docker Image	Model
Docker Registry	Model Repository
Terraform State	Training Data
Deployment	Model Inference
Monitoring	Model Evaluation
Pipeline	AI Workflow

---

Why AIOps Exists

Current DevOps:

Alert
 ↓
Engineer
 ↓
Investigation
 ↓
Fix

AIOps:

Alert
 ↓
AI
 ↓
Analysis
 ↓
Recommendation
 ↓
Engineer

Future:

Alert
 ↓
AI
 ↓
Analysis
 ↓
Auto Fix

---

Knowledge Check

Answer these in your own words:

Q1

Difference between:

• AI
• ML
• Deep Learning

Q2

Why is ChatGPT considered Generative AI?

Q3

Give one DevOps use case where Machine Learning can help.

Q4

Give one DevOps use case where Generative AI can help.

---

Mini Assignment

Create a table:

Technology	Category
ChatGPT	?
Recommendation Engine	?
Face Recognition	?
Predicting Server Failure	?
AI Incident Assistant	?

Fill the categories using:

• AI
• ML
• Deep Learning
• Generative AI
• LLM