Internet Academy Releases New Claude Code Training Program: A 6-Session, 12-Hour Practical Program for Immediate Workplace Readiness, Covering Environment Setup, Prompt Design, MCP Integration, and Security Measures
Internet Academy Co., Ltd. has launched "Claude Code Training," a corporate engineer training program utilizing Anthropic's AI coding tool, Claude Code. This program addresses challenges faced by engineers in adopting AI coding, offering a comprehensive curriculum from environment setup and prompt design to MCP integration and security measures, aiming to make engineers immediately effective in development.
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- 📰 Published: April 30, 2026 at 19:00
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Internet Academy Co., Ltd. (Representative Director: Hiroto Nishi, Headquarters: Shinjuku-ku, Tokyo, hereinafter "Internet Academy") has commenced offering "Claude Code Training," a corporate engineer training program that utilizes "Claude Code," an AI coding tool provided by Anthropic.
■ Solving the Challenges of Engineers Who "Cannot Try or Master" AI Coding
Interest in AI coding tools is rapidly increasing among engineers. However, many development sites face situations such as "unable to try due to not knowing environment setup procedures," "low code generation accuracy making it unusable in practice," and "remaining for personal use as team adoption methods are unclear."
Claude Code, in particular, possesses characteristics different from other AI coding tools, such as CLI-based operation, context management, and external tool integration via MCP (Model Context Protocol). While correct mastery allows for advanced automation and integration difficult to achieve with existing tools, self-study requires significant time and cost.
To address these challenges, Internet Academy has developed this training program, which systematically covers everything from basic understanding of Claude Code to practical implementation at a business level and team adoption design.
■ Overview of the Training
"Claude Code Training" is a program that systematically covers environment setup, CLI operation, prompt design, code generation, refactoring, debugging, MCP integration, security measures, and team operation rule design over 6 sessions and 12 hours.
Participants can choose from taking only the first session (2 hours) to all 6 sessions (12 hours), according to their company's needs.
【Curriculum Structure】
Session 1: Basic Understanding and Environment Setup (2 hours)
Differences from conventional AI and changes in roles in the development field, overall picture of engineer-specific functions
Node.js environment setup, API key configuration, integration with VS Code extensions, troubleshooting initial settings
CLI operations and command system, flow from project loading to basic operations
Session 2: Basic Operations and Code Understanding (2 hours)
Command system and operating procedures, basics of context management and its impact on accuracy
Understanding the structure of existing code and grasping the overall picture, efficient understanding methods utilizing search and explanation functions
【Workshop】Code understanding exercise utilizing existing code structure analysis and explanation generation functions
Session 3: Prompt Design and Code Generation (2 hours)
Granularity design for coding instructions, tips for context provision, improvement approaches to enhance output accuracy
Automatic generation of functions/classes, API endpoint generation, quality evaluation criteria for generated results
【Workshop】Practical exercise repeatedly generating, reviewing, and improving code for new features
Session 4: Refactoring and Debugging (2 hours)
Methods for requesting code reviews, improvement perspectives for readability and maintainability
Error message analysis techniques, systematization of root cause identification process, risk assessment of proposed fixes
【Workshop】Improvement cycle exercise of proposing, correcting, and re-verifying improvements using actual code
Session 5: MCP, External Integration, and Automation (2 hours)
Mechanism and role of MCP, usage scenarios, basic procedures for connection settings
GitHub integration (PR/Issue management), Slack integration for notification design and business integration
【Workshop】Practical construction of external integration settings and simple automation workflows
Session 6: Security, Operations, and Implementation Design (2 hours)
API key management and information leakage risk countermeasures, prompt injection countermeasures
Review standards for AI-generated code, design and management methods for team operation rules
【Workshop】Organizing team challenges, clarifying implementation policies, and creating an implementation plan
Target Audience
Engineers involved in development, regardless of front-end or back-end, and engineering leaders who want to introduce and deploy Claude Code to their organization.
Training Hours
2 hours (Session 1 only) to 12 hours (all 6 sessions) / Customizable
Training Format
Interactive remote training, group training, instructor dispatch (all available)
Fees
Varies depending on the number of participants, hours, and customization content (individual consultation available for subsidy utilization)
■ Differences from Other AI Coding Training Programs
① Claude Code Specialized Curriculum Based on CLI
Unlike editor-completion AI like ChatGPT and GitHub Copilot, Claude Code requires unique mastery of CLI operations, context management, and MCP integration. This training is specialized in Claude Code's unique characteristics, fostering implementation skills that cannot be acquired through other general-purpose AI training.
② Organizational Implementation Design, Not Just "Individual Efficiency"
Session 6 covers review standards for AI-generated code, team operation rules, and the formulation of implementation plans. This goes beyond individual engineer skill enhancement to address organizational adoption.
■ Solving the Challenges of Engineers Who "Cannot Try or Master" AI Coding
Interest in AI coding tools is rapidly increasing among engineers. However, many development sites face situations such as "unable to try due to not knowing environment setup procedures," "low code generation accuracy making it unusable in practice," and "remaining for personal use as team adoption methods are unclear."
Claude Code, in particular, possesses characteristics different from other AI coding tools, such as CLI-based operation, context management, and external tool integration via MCP (Model Context Protocol). While correct mastery allows for advanced automation and integration difficult to achieve with existing tools, self-study requires significant time and cost.
To address these challenges, Internet Academy has developed this training program, which systematically covers everything from basic understanding of Claude Code to practical implementation at a business level and team adoption design.
■ Overview of the Training
"Claude Code Training" is a program that systematically covers environment setup, CLI operation, prompt design, code generation, refactoring, debugging, MCP integration, security measures, and team operation rule design over 6 sessions and 12 hours.
Participants can choose from taking only the first session (2 hours) to all 6 sessions (12 hours), according to their company's needs.
【Curriculum Structure】
Session 1: Basic Understanding and Environment Setup (2 hours)
Differences from conventional AI and changes in roles in the development field, overall picture of engineer-specific functions
Node.js environment setup, API key configuration, integration with VS Code extensions, troubleshooting initial settings
CLI operations and command system, flow from project loading to basic operations
Session 2: Basic Operations and Code Understanding (2 hours)
Command system and operating procedures, basics of context management and its impact on accuracy
Understanding the structure of existing code and grasping the overall picture, efficient understanding methods utilizing search and explanation functions
【Workshop】Code understanding exercise utilizing existing code structure analysis and explanation generation functions
Session 3: Prompt Design and Code Generation (2 hours)
Granularity design for coding instructions, tips for context provision, improvement approaches to enhance output accuracy
Automatic generation of functions/classes, API endpoint generation, quality evaluation criteria for generated results
【Workshop】Practical exercise repeatedly generating, reviewing, and improving code for new features
Session 4: Refactoring and Debugging (2 hours)
Methods for requesting code reviews, improvement perspectives for readability and maintainability
Error message analysis techniques, systematization of root cause identification process, risk assessment of proposed fixes
【Workshop】Improvement cycle exercise of proposing, correcting, and re-verifying improvements using actual code
Session 5: MCP, External Integration, and Automation (2 hours)
Mechanism and role of MCP, usage scenarios, basic procedures for connection settings
GitHub integration (PR/Issue management), Slack integration for notification design and business integration
【Workshop】Practical construction of external integration settings and simple automation workflows
Session 6: Security, Operations, and Implementation Design (2 hours)
API key management and information leakage risk countermeasures, prompt injection countermeasures
Review standards for AI-generated code, design and management methods for team operation rules
【Workshop】Organizing team challenges, clarifying implementation policies, and creating an implementation plan
Target Audience
Engineers involved in development, regardless of front-end or back-end, and engineering leaders who want to introduce and deploy Claude Code to their organization.
Training Hours
2 hours (Session 1 only) to 12 hours (all 6 sessions) / Customizable
Training Format
Interactive remote training, group training, instructor dispatch (all available)
Fees
Varies depending on the number of participants, hours, and customization content (individual consultation available for subsidy utilization)
■ Differences from Other AI Coding Training Programs
① Claude Code Specialized Curriculum Based on CLI
Unlike editor-completion AI like ChatGPT and GitHub Copilot, Claude Code requires unique mastery of CLI operations, context management, and MCP integration. This training is specialized in Claude Code's unique characteristics, fostering implementation skills that cannot be acquired through other general-purpose AI training.
② Organizational Implementation Design, Not Just "Individual Efficiency"
Session 6 covers review standards for AI-generated code, team operation rules, and the formulation of implementation plans. This goes beyond individual engineer skill enhancement to address organizational adoption.