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A systematic guide to learning AI large language models, covering Transformer architecture, prompt engineering, RAG, AI Agents, fine-tuning, and enterprise projects from beginner to production-ready.

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Learn how to create and use GitHub Copilot Skills by writing coding standards into skill.md files, enabling AI to auto-load team conventions and save tokens.

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Andrew Ng partners with Google on a Gemini CLI course covering installation, context engineering, MCP server integration, and automation workflows with hands-on projects.

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AI conversations getting worse over time? Master these 7 context management tips—including manual compression, cache rules, and streamlined instructions—to save tokens and boost Claude and GPT output quality.

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