Internet Academy Launches "AI Agent Practical Training" to Build No-Code AI Chats Rooted in Internal Documents with Dify or Copilot Studio
Internet Academy has launched the "AI Agent Practical Training," a corporate program to enable self-building and operating no-code AI chats based on internal documents using Dify or Copilot Studio. This training allows for the rapid acquisition of skills for building AI agents leveraging RAG.
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- 📰 Published: May 14, 2026 at 01:00
- 🔍 Collected: May 13, 2026 at 16:32
- 🤖 AI Analyzed: May 13, 2026 at 17:26 (54 min after Collected)
Internet Academy Co., Ltd. (Representative Director: Hiroto Nishi, Headquarters: Shinjuku-ku, Tokyo; hereinafter "Internet Academy") has commenced offering the "AI Agent Practical Training" for corporations. This program aims to equip participants with the skills to independently build and operate AI chats based on internal documents using Dify or Copilot Studio.
"The practical barrier: Generic AI tools cannot use internal company information."
General-purpose generative AIs like ChatGPT and Gemini provide answers based on information from the internet. This means they cannot meet the needs for "wanting answers based on our company's product manuals or internal regulations" or "desiring an AI that refers only to internal documents without hallucinations."
The solution to this challenge is the construction of AI agents utilizing RAG (Retrieval-Augmented Generation). By registering internal PDF documents, manuals, and regulations as knowledge, and creating an AI chat that provides answers solely based on that content, it becomes possible to utilize information directly relevant to on-site operations.
However, many personnel face challenges such as "not knowing the construction procedures, hindering adoption," "not understanding how to improve answer accuracy," and "being unable to delve into workflow design or prompt design." As a result, the internal adoption of AI agents often stalls at the検討 phase.
To address these on-site challenges, Internet Academy has developed this training program, which allows participants to comprehensively learn everything from knowledge design to workflow and prompt design, and operation design with internal implementation in mind.
Training Overview
The "AI Agent Practical Training" is an 8-hour program (4 hours x 2 days) designed to systematically teach participants, from basic understanding of AI agents and RAG to building AI chats using Dify or Copilot Studio, improving their accuracy, and designing for internal implementation.
It is structured around two implementation workshops, fostering the ability to immediately put AI agent construction into practice at work after the training. Please note that AI integrated with internal systems or databases is not covered in this training.
[Curriculum Structure]
AI Agent Practice 1: Basic Understanding, Construction, and Accuracy Improvement
Basics of AI Agents and RAG: Roles, basic structure, limitations of using generative AI alone, and goals of this training
Basic operations of Dify (or Copilot Studio): Relationship between Knowledge, App, and Workflow; steps for knowledge registration; creation and operation verification of RAG chat
Differences in accuracy due to knowledge design: Comparison of registration with unstructured vs. structured documents, verification of answer accuracy, perspective on preparing business documents
Agentification through workflow: Setting up question classification, switching reference knowledge, controlling answer format
Prompt and answer design: Designing instructions, stabilizing answers, specifying business-oriented expressions, suppressing incorrect answers
Design considerations for internal implementation: Authority management, information control, organization of operational rules, expansion of utilization scope
AI Agent Practice 2: Implementation Workshop
Workshop 1: Designing an AI Agent (design exercise for knowledge, workflow, and prompts)
Workshop 2: Creating an AI Agent (actual construction, operation verification, and improvement)
Training Format
Interactive remote training, group training, instructor dispatch (all options available)
Training Hours
8 hours / Customization available
Target Audience
On-site employees considering AI agent construction,
Individuals who want to leverage AI for operational efficiency (industry agnostic)
Fees
Vary depending on the number of participants, hours, and customization details
(Individual consultation available for subsidy utilization)
Differences from "AI Agent Introduction Training"
Internet Academy also offers "AI Agent Introduction Training," but this practical training differs in target skill level and learning objectives.
AI Agent Introduction Training | AI Agent Practical Training
Tools Used: MyGPT, Gems, NotebookLM | Dify, Copilot Studio
Implementation Level: No-code, utilization of existing tools | RAG design, workflow, prompt design
Learning Objective: "Can use" AI agents | "Can build, operate, and improve" AI agents
Internal Deployment: Individual/team usage | Design and operation rule formulation with internal implementation in mind
Training Hours: 4 hours | 8 hours
It is also possible to take a phased approach, learning the concepts and basic utilization of AI agents in the Introduction Training, then acquiring RAG design, construction, and operation skills in this Practical Training.
"The practical barrier: Generic AI tools cannot use internal company information."
General-purpose generative AIs like ChatGPT and Gemini provide answers based on information from the internet. This means they cannot meet the needs for "wanting answers based on our company's product manuals or internal regulations" or "desiring an AI that refers only to internal documents without hallucinations."
The solution to this challenge is the construction of AI agents utilizing RAG (Retrieval-Augmented Generation). By registering internal PDF documents, manuals, and regulations as knowledge, and creating an AI chat that provides answers solely based on that content, it becomes possible to utilize information directly relevant to on-site operations.
However, many personnel face challenges such as "not knowing the construction procedures, hindering adoption," "not understanding how to improve answer accuracy," and "being unable to delve into workflow design or prompt design." As a result, the internal adoption of AI agents often stalls at the検討 phase.
To address these on-site challenges, Internet Academy has developed this training program, which allows participants to comprehensively learn everything from knowledge design to workflow and prompt design, and operation design with internal implementation in mind.
Training Overview
The "AI Agent Practical Training" is an 8-hour program (4 hours x 2 days) designed to systematically teach participants, from basic understanding of AI agents and RAG to building AI chats using Dify or Copilot Studio, improving their accuracy, and designing for internal implementation.
It is structured around two implementation workshops, fostering the ability to immediately put AI agent construction into practice at work after the training. Please note that AI integrated with internal systems or databases is not covered in this training.
[Curriculum Structure]
AI Agent Practice 1: Basic Understanding, Construction, and Accuracy Improvement
Basics of AI Agents and RAG: Roles, basic structure, limitations of using generative AI alone, and goals of this training
Basic operations of Dify (or Copilot Studio): Relationship between Knowledge, App, and Workflow; steps for knowledge registration; creation and operation verification of RAG chat
Differences in accuracy due to knowledge design: Comparison of registration with unstructured vs. structured documents, verification of answer accuracy, perspective on preparing business documents
Agentification through workflow: Setting up question classification, switching reference knowledge, controlling answer format
Prompt and answer design: Designing instructions, stabilizing answers, specifying business-oriented expressions, suppressing incorrect answers
Design considerations for internal implementation: Authority management, information control, organization of operational rules, expansion of utilization scope
AI Agent Practice 2: Implementation Workshop
Workshop 1: Designing an AI Agent (design exercise for knowledge, workflow, and prompts)
Workshop 2: Creating an AI Agent (actual construction, operation verification, and improvement)
Training Format
Interactive remote training, group training, instructor dispatch (all options available)
Training Hours
8 hours / Customization available
Target Audience
On-site employees considering AI agent construction,
Individuals who want to leverage AI for operational efficiency (industry agnostic)
Fees
Vary depending on the number of participants, hours, and customization details
(Individual consultation available for subsidy utilization)
Differences from "AI Agent Introduction Training"
Internet Academy also offers "AI Agent Introduction Training," but this practical training differs in target skill level and learning objectives.
AI Agent Introduction Training | AI Agent Practical Training
Tools Used: MyGPT, Gems, NotebookLM | Dify, Copilot Studio
Implementation Level: No-code, utilization of existing tools | RAG design, workflow, prompt design
Learning Objective: "Can use" AI agents | "Can build, operate, and improve" AI agents
Internal Deployment: Individual/team usage | Design and operation rule formulation with internal implementation in mind
Training Hours: 4 hours | 8 hours
It is also possible to take a phased approach, learning the concepts and basic utilization of AI agents in the Introduction Training, then acquiring RAG design, construction, and operation skills in this Practical Training.