AI Workflow Automation Made Easy: 2026 Workflow Automation Master Class

Learn how to utilize AI prompts applicable to actual tasks and strategies for organizing an AX (AI Transformation) team. Through a systematic workflow-based approach, you will automate repetitive tasks and complete practical business automation solutions that can be immediately applied to the field.

(5.0) 3 reviews

53 learners

Level Basic

Course period 36 months

Business Productivity
Business Productivity
AI
AI
prompt engineering
prompt engineering
Government-Funded Bootcamp
Government-Funded Bootcamp
AI Agent
AI Agent
Business Productivity
Business Productivity
AI
AI
prompt engineering
prompt engineering
Government-Funded Bootcamp
Government-Funded Bootcamp
AI Agent
AI Agent

Reviews from Early Learners

5.0

5.0

Little stai

60% enrolled

This is how a workflow automation lecture targeted at non-developer office workers should be... While other lectures are full of vague, pie-in-the-sky talk, this one felt like taking a proper university course for the first time in a while. Since the topic is the fusion of AI and work, the theoretical parts were a bit dry, but they were essential. My company previously failed to implement workflow automation, and I realized the reason was that we didn't sufficiently help the AI understand the tasks clearly. If we follow this lecture's approach, I think we can achieve quite good results. Above all, it feels much more realistic than other existing lectures on AI implementation. I really enjoyed the lecture! Please continue to provide great content in the future.

5.0

team

55% enrolled

I was planning to introduce AI to the entire company, and I think this lecture is the best fit^^ Thank you for reflecting my requests!

5.0

하온

70% enrolled

I think this is the best introductory course. Work automation should originally start from the domain, but most people miss that point. I love that this course teaches that first! Also, the practical application part feels quite relaxed, and I think the fact that you upload lectures based on automation requests from people in the field makes this a truly practical course. I really enjoyed it since the live session!!!!! Thank you so much haha

What you will gain after the course

  • Prompt engineering techniques and workflow design capabilities to minimize AI hallucination issues

  • Establishing AX organization structure methodology and execution strategies for automating repetitive tasks

  • AI-based automation solution design tailored to business characteristics and immediately applicable practical templates

Repetitive Tasks
AI-Based Task Automation

Maximize practical productivity
with systematic workflow design


Were you still feeling lost even after introducing AI?
This course helps you break down actual tasks to design an AI application roadmap and
creates practical solutions to automate repetitive tasks 'immediately.' Become an AI-based business integration expert.


The Business Automation Master Class is
a practical course for acquiring skills to maximize work efficiency with AI.

You will systematically learn core automation strategies that can be applied immediately in practice, including repetitive task automation, prompt engineering to minimize AI hallucinations, AI Agent development, and AX organizational structuring.



Beyond theory, you will complete an SOP-based workflow automation solution that can be immediately applied to actual tasks.
We provide an experience that dramatically enhances individual and team productivity.



From task decomposition to AI understanding, automation execution, and continuous improvement,
you will gain experience in designing and implementing the entire process for AI-driven business innovation.

Practical AX

Section 1 - Overview of Task Automation and Analysis of Failure Causes

In this section, we introduce a general overview of the AI task automation course and analyze the primary reasons why automation fails. You will understand the limitations of AI models and the difficulties of real-world application, while learning strategic approaches for successful automation.

Section 2 - Workflow Decomposition and Tacit Knowledge Extraction Strategy

We will practice how to systematically decompose workflows, the core of task automation, and extract the tacit knowledge of experts. Through SOP (Standard Operating Procedure) writing methods and various case studies, we will determine automation feasibility and establish effective task decomposition strategies.

Section 3 - Understanding AI: Capabilities and Limitations of Frontier Models

This section focuses on clearly understanding the tasks that the latest AI models (frontier models) can perform and their limitations. You will learn techniques such as prompt engineering, context engineering, and harness engineering, and identify the inherent limitations of AI and the importance of Human-in-the-Loop.

Section 4 - Automation System Operation and Continuous Improvement Strategies

This section covers strategies for the stable operation and continuous improvement of established automation systems. You will learn how to diagnose causes of automation failure and maximize automation efficiency through establishing monitoring standards, analyzing operation logs, and conducting periodic improvement activities.

AI business automation, now start it properly!

Point 1. No more feeling overwhelmed by AI in practice

Have you failed to see actual improvements in work efficiency even after introducing AI? Rather than vague learning of AI technology, this course presents practical methods to automate repetitive tasks through clear workflow analysis. Based on the experience of industry experts, you can complete automation solutions that are immediately applicable to your work.


Point 2. Harness Context Prompt Engineering to Overcome AI Limitations

Have you been concerned about the frequent errors and hallucinations of AI chatbots? In this course, you will focus on learning effective prompt engineering and context engineering techniques to compensate for the weaknesses of AI models through SOP decomposition and tacit knowledge extraction. This will maximize practical utility by enhancing the accuracy and reliability of AI.


Point 3. Work Automation and Systematic AX Organization Structure

Are you tired of repetitive tasks and experiencing a decline in productivity? You will learn a systematic approach at the workflow level and build immediately applicable task automation solutions using real-world tools like make.com and n8n. You can also learn strategies for forming an AX (AI Transformation) organization to successfully lead AI-driven business innovation.


Point 4. Building AI Automation Solutions Based on Practical Experience

Learn deeply about the success and failure cases of AI automation through the vivid experiences of a startup CEO and AI education expert. By utilizing the practical templates and methodologies provided in the lecture, you can directly create AI automation solutions that increase corporate productivity and strengthen individual capabilities.


Are you wasting time and energy on repetitive tasks?
This course was created specifically for people like you.


✔️ Office workers who have not experienced practical improvements in work efficiency even after adopting AI

  • Those who have used AI tools but struggled with automating repetitive tasks

  • Those who need specific methodologies to increase work productivity with AI

  • Those who want to apply AI to actual work without worrying about AI hallucination issues and security concerns

✔️ Practitioners experiencing decreased productivity due to exhaustion from repetitive tasks

  • Those who want to focus on core tasks by automating repetitive daily work with AI

  • Those who need AI-based automation solution designs tailored to their specific work characteristics and immediately applicable templates.

  • Those who want to redesign workflows using AI Agents

✔️ Leaders who want to lead AI-driven work innovation within their organization

  • Those who want to establish strategies and action plans for AX (AI Transformation) organizational structure.

  • Those who want to build automation solutions that can be applied directly to their work even without an AI expert

  • Those who want to design a systematic AI automation roadmap to maximize the productivity of the entire organization


Stop worrying about the vagueness of AI adoption.
Master systematic methodologies for automating real-world tasks to simultaneously elevate your career and your organization's performance.

Prompt Engineering, Artificial Intelligence (AI), Government-funded Bootcamp, Work Productivity, AI Agent

Notes before taking the course


Practice Environment

  • Operating System: Universal operating systems such as Windows, macOS, and Linux can be used.

  • Required Tools: Web browser (Chrome, Edge, etc.)

  • Recommended Specifications: At least one AI model (Pro version or higher)

Prerequisite Knowledge and Important Notes

  • A basic understanding of AI technology will be helpful for your learning.

  • This course is optimized for those who feel the need for repetitive task automation.

  • Hands-on practice on a personal laptop may be required.

Learning Materials

  • Lecture slide PDF files provided

  • Practice example codes and templates provided

  • Analysis materials on actual business automation application cases


Recommended for
these people

Who is this course right for?

  • Office workers who tried to implement AI but did not experience any practical improvement in work efficiency

  • Practitioners who are experiencing a decline in productivity due to repetitive tasks and are in need of AI automation solutions

  • Leaders at the team leader level or above who wish to drive AI-based work innovation within their organization

Need to know before starting?

  • Experience in understanding basic business processes and identifying repetitive tasks

  • Experience using generative AI tools such as ChatGPT (Beginner level or higher)

  • Decision-making authority or a collaborative environment to implement task automation within the organization

Hello
This is Slearnic AI LAB

Career Verified

9,311

Learners

352

Reviews

19

Answers

4.8

Rating

10

Courses

As the CEO of 'Slurnic,' a startup maximizing the value of digital labor through AI, he develops and provides solutions that analyze early-stage startup business development and organizational tasks at the workflow level and transform them into AI-based processes. Additionally, as the co-founder of 'Slurners,' a routine management solution company for individuals with borderline intellectual functioning, he leads product and technology strategy while building practical support systems to help design daily life.


He conducts AI lectures across various educational platforms and industrial sites, including Multi Campus, Inflearn, Crowd Academy, Fast Campus, and Class101. In particular, his practical AI education capabilities have been proven at Inflearn, where he received a 2025 Award and surpassed 9,000 cumulative students. Based on his actual entrepreneurial experience, he also serves as a business development mentor at Ablen, supporting early-stage teams with market entry strategies, productization, and sales/partnership design. Ultimately, he aims to enhance both corporate productivity and individual capabilities through the practical application of AI, contributing to the productivity of society as a whole and, on a larger scale, the Gross Domestic Product (GDP).

Contact: mingyu.kim@slearnic.com

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Curriculum

All

41 lectures ∙ (6hr 22min)

Course Materials:

Lecture resources
Published: 
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Reviews

All

3 reviews

5.0

3 reviews

  • team9013님의 프로필 이미지
    team9013

    Reviews 1

    Average Rating 5.0

    5

    55% enrolled

    I was planning to introduce AI to the entire company, and I think this lecture is the best fit^^ Thank you for reflecting my requests!

    • slearnic
      Instructor

      That's right. Honestly, AI agents should be introduced on an individual level, but trying to implement them across the entire company always caused problems. That's why I filmed this lecture, so thank you so much!

  • haon님의 프로필 이미지
    haon

    Reviews 3

    Average Rating 5.0

    5

    70% enrolled

    I think this is the best introductory course. Work automation should originally start from the domain, but most people miss that point. I love that this course teaches that first! Also, the practical application part feels quite relaxed, and I think the fact that you upload lectures based on automation requests from people in the field makes this a truly practical course. I really enjoyed it since the live session!!!!! Thank you so much haha

    • slearnic
      Instructor

      Thank you so much! You're right... it's something the current market is missing, but honestly, if I include it in the lecture, the ratings drop because people say it's not practical enough.ㅠ Thank you so, so much for understanding!!

  • littlestai님의 프로필 이미지
    littlestai

    Reviews 3

    Average Rating 5.0

    5

    60% enrolled

    This is how a workflow automation lecture targeted at non-developer office workers should be... While other lectures are full of vague, pie-in-the-sky talk, this one felt like taking a proper university course for the first time in a while. Since the topic is the fusion of AI and work, the theoretical parts were a bit dry, but they were essential. My company previously failed to implement workflow automation, and I realized the reason was that we didn't sufficiently help the AI understand the tasks clearly. If we follow this lecture's approach, I think we can achieve quite good results. Above all, it feels much more realistic than other existing lectures on AI implementation. I really enjoyed the lecture! Please continue to provide great content in the future.

    • slearnic
      Instructor

      Hello Little stai, I am Min-gyu Kim, the CEO of Slearnic AI LAB. The lecture I intended was a business automation course targeted at non-developer office workers. The reason I excluded content requiring development skills was that I encountered too many cases of people "giving up because it was too difficult" during consulting or on-site lectures. With LLM models, many things can be resolved through the prompt chat window. In other words, a model easier than an LLM would need to emerge, but since that is unlikely for the time being, I wanted to present the maximum level of business automation possible at an office worker's level. Thank you very much for watching my lecture. Best regards, Min-gyu Kim.

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