APC Releases Practical Programming Curriculum 'AI Minerva Expert LLM' for Next-Gen AI Talent Development

APC has launched 'AI Minerva Expert LLM,' a practical programming curriculum covering LLM theory to autonomous AI agent development. It will be showcased at the 'Kyushu Education Field Support EXPO' on June 3-4, 2026, at Marine Messe Fukuoka. The curriculum runs on Google Colab, requiring no complex setup.
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📋 Article Processing Timeline

  • 📰 Published: May 27, 2026 at 12:30
  • 🔍 Collected: May 31, 2026 at 23:12 (106h 42m after Published)
  • 🤖 AI Analyzed: June 2, 2026 at 01:01 (25h 49m after Collected)
APC Co., Ltd. (Oita City, CEO Eisuke Sato) announces the launch of 'AI Minerva Expert LLM,' a practical programming curriculum that provides a systematic approach to learning everything from large language model (LLM) theory to the development of autonomous AI agents. The company also announces that it will debut and showcase this material at the 'Kyushu Education Field Support EXPO' held at Marine Messe Fukuoka on June 3rd (Wed) and 4th (Thu), 2026.

## 1. About the Debut at 'Kyushu Education Field Support EXPO'

'Kyushu Education Field Support EXPO' is a business trade show that addresses current and future challenges in education, ranging from school education to corporate employee training in the Kyushu region. At our booth, we will conduct demonstrations of 'AI Minerva Expert LLM' for corporate DX and talent development managers. Visitors can directly view the actual interface, including study slides with voice-over functionality and a 'Course Progress' management screen that allows both students and managers to track learning status at a glance.

■ Event Overview
- Name: Kyushu Education Field Support EXPO (within Kyushu Innovation WEEK)
- Dates: June 3rd (Wed) - 4th (Thu), 2026, 10:00 - 17:00
- Venue: Marine Messe Fukuoka, Hall A 2
- Target Audience: Corporate HR/Training Managers, DX Promotion Managers, Executives, School/Educational Institutions

## 2. Features and Curriculum of 'AI Minerva Expert LLM'

This material is composed of four elements: 'Explanatory Material' where slides and source code are integrated into a notebook, 'Hands-on Exercises' for programming, 'Summary' documents for each chapter, and an 'Index' feature for searching terms and directly viewing relevant slides. Because it uses the free Google Colaboratory environment, no complex configuration is required, allowing for immediate start of Python-based learning.

【Syllabus Highlights: 11 Chapters in Total】
- Basics (Chapters 1-3): Starts with an introduction to natural language processing, Python basics, and essential mathematical foundations for AI (vectors, matrices, probability).
- Core Technologies (Chapters 4-7): In-depth study of tokenization, embedding techniques, RNNs, and the mechanisms of 'Transformer' (including various Attention mechanisms), the foundation of modern AI, from both theoretical and practical perspectives.
- Applications (Chapters 8-10): From the basics of language models to implementing local LLMs using Gemini and Hugging Face, and building practical RAG (Retrieval-Augmented Generation) systems utilizing LangChain.
- Agent Development (Chapters 11): Goes beyond traditional AI assistants that wait for repeated instructions, covering development methods for autonomous AI agents, including the implementation of 'Agentic RAG' for autonomous search/judgment, and 'MCP' for external service integration/operation.

■ Contact Information
- Company: APC Co., Ltd.
- TEL: 097-573-6616
- Website: https://www.oita-apc.co.jp
- 'AI Minerva Expert LLM': https://www.oita-apc.co.jp/service/processing/education/aiminerva_expert_llm/

FAQ

「AIミネルバExpert LLM版」はどのような教材ですか?

大規模言語モデル(LLM)の理論から自律型AIエージェントの開発までを体系的に学べる実践型プログラミング教材です。

学習にはどのような環境が必要ですか?

基本無料のGoogle Colaboratory環境を使用するため、複雑な環境構築は不要です。

「AIミネルバExpert LLM版」の展示予定はありますか?

2026年6月3日・4日にマリンメッセ福岡で開催される「九州教育現場支援EXPO」にて展示・紹介されます。

教材はどのような構成になっていますか?

「説明教材」、「演習教材」、「要約」資料、「索引」機能の4つから構成されています。

カリキュラムではどのような内容を学習できますか?

自然言語処理やPythonの基礎から、Transformer、RAG、自律型AIエージェント(Agentic RAGやMCP)の開発手法まで網羅しています。