Lesson 1
What is prompt engineering?
How clear instructions, examples, constraints, and output formats help an AI model complete a task.
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Compute College track
Prompt & Context Engineering
Learn how prompts, context, retrieval, memory, and agent state shape model quality, token usage, latency, and inference cost.
2 free published lessons, no account required. Who this is for: Product teams, developers, analysts, founders, operators, and anyone building AI applications or agents.
Lesson order
Recommended lesson order
Work through these lessons in sequence to build a usable understanding of this AI compute topic.
Lesson 2
What is context engineering?
How AI systems select and manage the information a model receives before making a decision.
Market signal
How this track helps you read the AI compute market
Prompt and context design determine how many tokens an application processes, how often it retries, how many tools an agent calls, and whether a smaller model can complete the task. Those choices affect latency, memory use, throughput, and cost per completed task. This track helps readers connect application design decisions to recurring inference demand.
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Keep up with the market
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