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This free short course from DeepLearning.AI teaches how to use large language models through the OpenAI API. Taught by Isa Fulford (OpenAI) and Andrew Ng, it covers practical applications including summarizing, inferring sentiment, transforming text, and expanding content. The course runs approximately 1.5 hours with 9 video lessons and 7 code examples.
While developer-focused, product managers benefit from understanding what prompt engineering can accomplish and its limitations. The course provides foundational knowledge about LLM capabilities that helps PMs communicate effectively with technical teams and set realistic expectations for AI features. Basic Python knowledge is helpful but not required to understand the concepts.
This resource is ideal for PMs just starting their AI journey. It provides foundational knowledge in technical skills that will help you build a solid understanding of how AI impacts product management.
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Go to DeepLearning.AIThis article serves as a non-technical PM's guide to orchestrators, context optimization, and evals for AI agents. Jake McCGwire shares practical less...
This official Anthropic engineering guide provides battle-tested patterns for using Claude Code effectively. It covers project customization through C...
This guide teaches practitioners how to build effective AI prototypes through a structured, 12-step execution pipeline. Rather than creating impressiv...