You just give the instructions, the AI does the work: Google Opal task automation system

Now automate your repetitive tasks with Opal.
Design no-code AI workflows and create your own practical task automation tools!

The daily flood of work requests and repetitive documentation,

Is it hindering your growth?
You need an “AI Partner” that designs the work process itself.

“Instead of handling multiple tasks separately, try designing them as a single flow.”
Google Opal creates work tools that can be executed immediately as you imagine.

– Automatically convert marketing content that used to be rewritten for each channel, and generate trend-based planning simultaneously
– Minimize operational burden by generating HR and training documents such as training notices, information emails, and FAQs all at once
– Organize repetitive customer inquiries by type and provide immediate response templates tailored to the situation
– Reduce both writing time and errors by automating report drafts and data organization

We will give you back the time lost to simple data collection and drafting.
From now on, focus on your role in designing tasks and finalizing results!

Google Opal Work Automation System Automation Curriculum Features

Structure repetitive tasks and implement them into a functioning automation system in this practical course.

1. ‘Node-based Task Design’ that directly transplants practical logic
Process structuring that allows AI to perform tasks independently from start to finish

2. 'Intelligent Agents' that independently judge response scenarios for each situation
Complete a work structure where you leave situational summaries to AI and focus on core judgment and decision-making

3. Immediate extraction of 'core insights' from vast research data
Prevent mistakes caused by information overload by letting AI first capture critical signals between web information and internal documents

4. ‘Shared Automation Workflows’ that transform team productivity
Establish work standards by deploying apps containing specialized know-how to the entire team, and free yourself from tedious routine tasks to focus on strategic decision-making

5. 'Field-Oriented AI Operation Guide' Based on Real-World Use Cases
Complete apps that immediately solve problems in actual business fields such as marketing, sales, and HR, and ensure operational stability through verification routines

Delegate tedious drafting to the 'AI mini-app' you created yourself.

Now, all you need to do is add your "sharp expert insight" onto the framework designed by AI!

The OPAL 3-step practical course for defining, automating, and scaling tasks across your organization!

1. Register for the lecture

2. Master ‘AI Workflow Design’ with Instructor Eun-yi Cho

3. Establish a 'Work Tool Automation' system that can be immediately applied to practical tasks

The true value of the output is completed through your sharp interpretation and final judgment!

Let the Opal system handle repetitive tasks, while you focus on core decision-making!

Are you stuck in a vicious work cycle where you pour in time but results remain stagnant, and you need a solution?

Break the vicious cycle by designing Opal nodes,
and build a practical structure that achieves maximum results with minimum effort!

I confidently recommend this to the following people.

– Practitioners who want to handle repetitive report writing, data organization, and communication tasks faster and more efficiently
– Sales/Planning managers who need to quickly organize and utilize information for customer meeting preparation, competitor analysis, etc.
– Practitioners who want to build systems that directly automate complex business workflows
– Marketing experts who need advanced content creation based on multimodal technology
– Team leaders and digital innovation leaders who want to improve the work efficiency of the entire team

The value of a practitioner is completely divided between those who 'simply use AI tools' and those who 'design systems.'
Leap forward to become an irreplaceable top 1% talent within your organization with Google Opal!

Course Features

STEP 1. Shifting Perspective from ‘Prompt Scribbling’ to ‘Workflow Design’

Discard one-dimensional usage and equip the mindset of an 'AI System Architect' with an Input-Generate-Output structure

STEP 2. Building a ‘Task-Specific Mini-App’ Beyond One-Off Chatting

Build your own 'AI App' that moves beyond one-off instructions to automatically execute repetitive daily tasks

STEP 3. Moving toward ‘self-judging agents’ rather than fixed commands

With an 'AI work partner' that understands the situation and moves according to the flow without needing step-by-step instructions

STEP 4. From ‘Simple Document Automation’ to ‘Multimodal Integrated Systems’

Complete automation that doesn't stop at text generation but connects to image and content planning to complete results in a single workflow

STEP 5. Expanding Individual Productivity into 'Organizational Work Standards'

Expand from a tool used alone into a shared AI workflow system utilized by the entire team

If the reason your workload isn't decreasing is that you're still relying on manual labor?!

By designing AI to fit your workflow, you can distinguish between tasks you need to do and tasks you can delegate.

Go beyond simple tools and build your own
'Google Opal Workflow' that handles your tasks for you!

Frequently Asked Questions (Q&A)

Q. Are there any services that require a paid subscription to take this course?
A. Opal is in free beta and can be used immediately with just a Google account. The course covers how to design automation workflows and create practical AI apps using free services such as Google Opal and Gemini. Since the curriculum is designed for immediate practical application, you can complete the learning without any separate paid services.

Q. Can non-majors with no coding knowledge take this course?
A. Yes, absolutely. This course follows the 'Vibe Coding' approach, where you convey the structure and intent of the task to the AI without writing code yourself. Instead of complex programming languages, you will learn how to combine Input, Generate, and Output nodes using natural language, allowing anyone to create their own work tools.

Q. Is it at a level that can be applied immediately to practical work?
A. Yes, the content covered in the lecture is not just about learning simple functions, but is based on actual work scenarios.
It is designed so that you can create your own apps to automate various tasks such as report writing, customer service, and content generation, and apply them to your work immediately after taking the course.

Please check before taking the course!

• Since this is a practice-oriented course, it is recommended to prepare a dual monitor or an extra device so you can separate the lecture screen from the practice screen.

• Additionally, since the practice sessions are based on Windows OS, we recommend taking the course in a Windows environment.

• Lecture notes and practice files are located in the <00. Textbook Download Center> section.