Preview
Description
AI Engineer Path is an introduction to building applications on large language models, written for software engineers who already know how to code. It takes you from your first API call to an evaluated, cited question-answering system, using Python and Anthropic's Claude API. TWELVE CHAPTERS • What an AI engineer does • How LLMs work: tokens, context windows, sampling • Calling the model API: streaming, stop reasons, retries, cost • Prompt engineering you can measure • Structured output and tool use • Embeddings and vector search • Retrieval-augmented generation with citations • Agents and the Model Context Protocol • Evaluation: knowing it works • Choosing models and fine-tuning • Running AI in production • A capstone project and your career LEARN BY DOING Each chapter has worked Python examples, diagrams and practice steps: about six hours of reading and an estimated 26 hours of suggested practice in all. CHECK WHAT YOU KNOW More than 100 quiz questions with explanations, plus saved chapter completion, best quiz scores and a shortcut to continue your last unfinished chapter. REFERENCE WHEN YOU NEED IT A glossary of 51 terms, links to the documentation and papers behind each chapter, and a guide to certifications and learning paths from Anthropic, NVIDIA, Databricks, AWS, Microsoft and Google Cloud. RUN THE CODE A free companion repository has runnable versions of the named examples, with sample data and offline smoke tests. Some examples in the chapters are short sketches and are not included. Coding exercises run outside the app, on a computer or in a browser with GitHub Codespaces. Exercises that call the API need internet access, your own Anthropic account and API credits, and Codespaces usage beyond GitHub's free allowance is charged. PRIVATE BY DESIGN Read chapters, use the glossary and take quizzes offline, with no account, no ads and no tracking. Your progress stays on your device. Made for iPhone and iPad, with a side-by-side reading layout on larger iPads. AI Engineer Path is an independent course. It is not affiliated with or endorsed by Anthropic or any certification provider.
Technical Analysis
Package Overview Basic metadata
Bundle ID
hk.twinkle.aiengineerpath Current Version 1.0.0
Minimum iOS 16.4
Package Size App Store Size
Package Metadata 0 / 0 version records
Detailed binary, privacy manifest, framework, and Info.plist results have not been indexed for this package yet. The verified App Store and archive metadata above remains available.
Developer Information
Known Version Records
0 version records with stored package metadata
Stored metadata does not guarantee a package is currently available to download.
| Details | Version / IDs | Version date | Action |
|---|