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Claude Certified Developer Associate
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Module 3
LLM and Claude Platform Fundamentals
1
How Token Sampling Affects Response Variability
Predict how probabilistic token generation and sampling settings affect response variability.
2
Context Window vs. Generated-Output Limit
Distinguish a model's context window from its generated-output limit.
3
Choosing Between LLMs, Software, and Human Judgment
Identify tasks that suit an LLM and tasks that require deterministic software or human judgment.
4
Comparing Claude Models by Capability, Latency, Context, and Price
Compare Claude models using capability, latency, context, and price requirements.
5
Estimating Token Costs for a Claude API Interaction
Calculate the approximate token cost of a single Claude API interaction.
6
Designing for Rate Limits and Latency Constraints
Recognize how rate limits and latency constraints affect an application's design.
7
Balancing Task Difficulty, Latency, Reliability, and Cost in Model Routing
Choose a model-routing rule that balances task difficulty, latency, reliability, and cost.
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