Production Hosted LLM Architecture

provider landscape and capabilitiesresponse patternsstreaming vs synchronoustoken economics and pricingrate limits and quotasauthentication and security

Learning Path

Step 1

Reading Material

12 sections

Step 2

Knowledge Check

45 questions

Step 3

Hands-on Labs

5 labs

Step 1

Reading Material

12 sections

Step 2

Knowledge Check

45 questions

Step 3

Hands-on Labs

5 labs

Hands-on Labs

Each objective has a coding lab that opens in VS Code in your browser

Objective 1

Provider Landscape Analysis

Goal

Compare API capabilities, pricing, and strengths across Anthropic, OpenAI, and Google

Objective 2

Request Patterns and Streaming

Goal

Implement streaming vs batch request patterns for different use cases

Objective 3

Token Economics

Goal

Understand and calculate token costs across different models and providers

Objective 4

Rate Limit Management

Goal

Implement rate limit monitoring and handling strategies

Objective 5

Secure API Management

Goal

Implement secure API key management and authentication patterns