Agentic AI for Business: A Practical Introduction

Agentic AI for Business: A Practical Introduction, led by John Kim, CEO of Nanum Consulting, is a 4-hour corporate training program that takes you systematically from the core principles of agentic AI to real-world application. Through hands-on Claude Cowork practice, participants learn to use AI in real work environments, and through a comparative analysis of multi-agent platforms, they build the ability to choose the AI tools best suited to their company. The curriculum goes beyond theory to what you can use on the job, and each participant creates a personal action plan after the session to keep building their AI skills. Designed for corporate managers evaluating agentic AI adoption and for practitioners who want to work more efficiently, the program gives participants concrete methods for automating work and boosting productivity with AI agents. The curriculum is proven in Nanum Consulting's training for 50+ major corporations and institutions.
💻 Start learning this topic with an online course →Who is this course for?
The main audience is practitioners and managers at companies who want to apply AI tools to their work. It is especially suited to those interested in automating work and improving efficiency with AI agents such as Claude. The course is structured systematically, from the basics to practical application, so even AI beginners can follow along easily.
What will you learn?
- Understand how agentic AI works and build the skills to apply it at work
Curriculum
- What agentic AI is and how it works
- Introducing the Claude Cowork platform and its strengths
- Why agentic AI matters in the workplace
- Establishing domain knowledge and workflows
- Case studies of improvements at other companies
- Learning goals and expected outcomes
- Claude Cowork interface and setup
- Prompt writing techniques and optimization
- Hands-on: Automating business documents
- Analyzing data and generating insights
- Team collaboration scenario practice
- Measuring efficiency and gathering feedback
- Features and capabilities of the OpenClaw platform
- Claude Cowork vs. OpenClaw comparison
- Playing to each platform’s strengths
- Industry success stories
- Cost efficiency and ROI analysis
- Selection criteria and decision-making guide
- Configuring agentic AI for your own work
- Hands-on: Planning team process improvements
- Security and ethics considerations
- Tips and resources to shorten the learning curve
- Building a 90-day action plan
- Introducing the continuous learning community
Expected results / After the course
- Boosting work efficiency and strengthening AI literacy
On-site training references
About the instructor

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An introductory hands-on course for building work tools that run on plain conversational instructions.
Use AI in your daily work, from lesson prep to content creation.
We tailor this course to your company
From diagnosis to execution — Nanum Consulting
FAQ

Agentic AI for Business: A Practical Introduction
Agentic AI for Business: A Practical Introduction, led by John Kim, CEO of Nanum Consulting, is a 4-hour corporate training program that takes you systematically from the core principles of agentic AI to real-world application
- Understand how agentic AI works and build the skills to apply it at work
- Boosting work efficiency and strengthening AI literacy
- What agentic AI is and how it works
- Introducing the Claude Cowork platform and its strengths
- Why agentic AI matters in the workplace
- Establishing domain knowledge and workflows
- Case studies of improvements at other companies
- Learning goals and expected outcomes
- Claude Cowork interface and setup
- Prompt writing techniques and optimization
- Hands-on: Automating business documents
- Analyzing data and generating insights
- Team collaboration scenario practice
- Measuring efficiency and gathering feedback
- Features and capabilities of the OpenClaw platform
- Claude Cowork vs. OpenClaw comparison
- Playing to each platform’s strengths
- Industry success stories
- Cost efficiency and ROI analysis
- Selection criteria and decision-making guide
- Configuring agentic AI for your own work
- Hands-on: Planning team process improvements
- Security and ethics considerations
- Tips and resources to shorten the learning curve
- Building a 90-day action plan
- Introducing the continuous learning community
