# AI education

AI education\
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(Please write your AI books recommendations below in comments. Thank you.)\
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🚀 Start Your AI Agent Learning Journey! 🌟\
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🔹 Level 1: Master the Basics\
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\- \*\*GenAI Introduction\*\*: Get familiar with Generative AI.\
"Introduction to Generative AI" by Numa Dhamani and Maggie Engler\
<https://amzn.to/3AAjiqO>\
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\- \*\*LLMs Basics\*\*: Understand Large Language Models.\
"Understanding Large Language Models: Learning Their Underlying Concepts and Technologies" by Thimira Amaratunga\
<https://lnkd.in/gATBxH5Y>\
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\- \*\*Prompt Engineering\*\*: Learn to craft effective prompts.\
"Prompt Engineering for Generative AI: Future-proof Inputs for Reliable AI Outputs" by James Phoenix and Mike Taylor\
<https://lnkd.in/g_URGKgY>\
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🔹 Level 2: Dive into AI Agent Specials\
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\- \*\*AI Agents Intro\*\*: Learn what AI Agents are.\
"Agent Zero: The Ultimate Autonomous AI Agent" by Michael E. Kirshteyn Ph.D.\
<https://lnkd.in/gNRjyNHY>\
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\- \*\*Agentic Frameworks\*\*: Explore frameworks for building agents.\
"Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs" by Ben Auffarth\
<https://amzn.to/3WZ23qN>

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\- \*\*Simple AI Agent\*\*: Start building your first AI Agent.\
"Build Your Own AI Agent: A Hands-On Guide for Beginners: Learn to Design, Build, and Deploy Your First AI System" by Sujai G Pillai\
<https://lnkd.in/gYpmbi83>\
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\- \*\*Agentic Workflow\*\*: Learn to design efficient workflows.\
"Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications" by Chip Huyen\
<https://lnkd.in/gsAkhGUf>\
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🔹 Advanced Skills\
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\- \*\*Multi-Agent Collaboration\*\*: Work with multiple agents.\
"Multi-Agent Systems with AutoGen" by Victor Dibia (2025)\
<https://lnkd.in/gC_iFQ3n>\
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\- \*\*Build Cool AI Agents\*\*: You're ready to create advanced AI solutions!\
"Building Smarter AI Agents: Techniques and Best Practices: A Comprehensive Guide 2025" by Alice Schwartz (Editor), Reactive Publishing (Author), Hayden Van Der Post (Author) <https://lnkd.in/gS2m2-e3>

<figure><img src="https://media.licdn.com/dms/image/v2/D5622AQFwsQjHldZbyw/feedshare-shrink_800/B56ZXNAoOJGsAg-/0/1742901273336?e=1746057600&#x26;v=beta&#x26;t=ak6KbvroiNsgvH4RLRztimTonsSwQhCiVU8SVDmgNYs" alt=""><figcaption></figcaption></figure>


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://phantanloc.gitbook.io/locpt_wiki/homepage/2.it-cntt/ai-tri-tue-nhan-tao/ai-education.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.