Japanese version needs to be updated to version 2

[yoshioterada]

Need to check the updated the places

Identify corrections or additions

It seems that the following entry is added.

0. Top Page

The above Image URL 

### 18 Lessons teaching everything you need to know to start building Generative AI applications

# Generative AI for Beginners (Version 2) - A Course

| 13 | [Securing Your Generative AI Applications](https://oai.azure.com/portal/e7de87023b2348239a0363cb4aa49f6f/13-securing-ai-applications/README.md?WT.mc_id=academic-105485-koreyst) | Learn: The threats and risks to AI systems and methods to secure these systems. | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
| 14 | [The Generative AI Application Lifecycle](https://oai.azure.com/portal/e7de87023b2348239a0363cb4aa49f6f/14-the-generative-ai-application-lifecycle/README.md?WT.mc_id=academic-105485-koreyst) | Learn: The tools and metrics to manage the LLM Lifecycle and LLMOps | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
| 15 | [Retrieval Augmented Generation (RAG) and Vector Databases](https://oai.azure.com/portal/e7de87023b2348239a0363cb4aa49f6f/15-rag-and-vector-databases/README.md?WT.mc_id=academic-105485-koreyst) | Build: An application using a RAG Framework to retrieve embeddings from a Vector Databases | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
| 16 | [Open Source Models and Hugging Face](https://oai.azure.com/portal/e7de87023b2348239a0363cb4aa49f6f/16-open-source-models/README.md?WT.mc_id=academic-105485-koreyst) | Build: An application using open source models available on Hugging Face | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
| 17 | [AI Agents](https://oai.azure.com/portal/e7de87023b2348239a0363cb4aa49f6f/17-ai-agents/README.md?WT.mc_id=academic-105485-koreyst) | Build: An application using an AI Agent Framework | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
| 18 | [Fine-Tuning LLMs](https://oai.azure.com/portal/e7de87023b2348239a0363cb4aa49f6f/18-fine-tuning/README.md?WT.mc_id=academic-105485-koreyst) | Learn: The what, why and how of fine-tuning LLMs | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |

🌟 Special thanks
Special thanks to [**John Aziz**](https://www.linkedin.com/in/john0isaac/) for creating all of the GitHub Actions and workflows

- [**NEW** Cybersecurity for Beginners](https://github.com/microsoft/Security-101??WT.mc_id=academic-96948-sayoung)

13-Securing Your Generative AI Applications

14-The Generative AI Application Lifecycle

15-Retrieval Augmented Generation (RAG) and Vector Databases

16-Open Source Models and Hugging Face

17-AI Agents

18-Fine-Tuning LLMs

[github-actions[bot]]

👋 Thanks for contributing @yoshioterada! We will review the issue and get back to you soon.

[koreyspace]

Yes @yoshioterada these have been added, thanks for logging this issue.

[sailxjx]

Seems a lot of demand related to multilingualism. Since this course is about generative AI, why not leverage the capabilities of LLM to implement automatic multilingual support? I've created an online chat version of this course that supports any conversation, and the content can also be conveniently translated into various languages. Additionally, you can get a virtual teacher who can supplement the lesson with real-time knowledge and is capable of voice chatting. I am looking for official support.

[yoshioterada]

Dear @sailxjx san Yes, I'm indeed utilizing an LLM for translation. However, the results produced by the LLM alone often result in Japanese that is difficult to read and overly literal, which is not suitable for technical documentation.

Currently, I'm progressing with the translation of Version 2 in this branch, where I make revisions after the initial translation by the LLM.

You can find our work here: https://github.com/yoshioterada/generative-ai-for-beginners/tree/japan-part2

By adopting this method, I aim to produce Japanese translations that are more comprehensible than direct translations. This is how we are proceeding with our work.

[sailxjx]

@yoshioterada I don't understand Japanese, so I can't judge the content translated by the LLM. Based on my feelings about the Chinese translation from LLM, I find that about 90% of the content is acceptable, while the other 10% feels a bit too archaic, not like the terms modern people would use, but the meaning is correct. I think maybe by adjusting the prompt, we can make its translation closer to real life. After all, manual translation requires a lot of time, and even after LLM's translation, manual review still takes up considerable effort. For me, as long as the professional technical vocabulary is translated correctly, some minor grammatical issues are unimportant. Finally thank you for the time dedicated to open source.