1 Month
Program Duration
- 4 weeks of structured learning
- 2 sessions per week
INDIVIDUAL TRAINING AI AUTOMATION & WORKFLOW
Automate Repetitive Tasks with AI.
Learn to map business processes, connect productivity apps, and build practical AI-powered workflows using no-code automation tools.
Practical skills. Purposeful technology. Real-world application.
AI AUTOMATION & WORKFLOW
Learn to Build Workflows That Make Everyday Work Easier.
Learn how to identify repetitive tasks, map business processes, connect productivity applications, and integrate AI into practical workflows. Through instructor-led workshops and hands-on exercises, you will build a working automation project without needing programming skills.
16 Hours
Total Learning Hours
- 8 learning sessions
- 2 hours per session
Live Workshops
Learning Format
- Instructor-led learning
- Hands-on workflow automation
No Coding Required
Who It's For
- Professionals and administrative staff
- Entrepreneurs and UMKM owners
- Business operations teams
LEARNING OUTCOMES
Build Practical Skills to Automate Everyday Work.
Learn to identify repetitive tasks, design clear workflows, connect productivity applications, and integrate AI where it adds value. By the end of the program, you will be able to build, test, and document a practical business workflow automation.
Identify Automation Opportunities
Recognize repetitive tasks and determine which processes are suitable for automation.
- Understand manual and AI-powered automation
- Evaluate task frequency, effort, risk, and impact
Map Business Workflows
Turn a business process into a clear workflow with defined steps and expected outcomes.
- Define inputs, processes, and outputs
- Map triggers, actions, conditions, and approvals
Build No-Code Automations
Create automation scenarios using Make without writing traditional application code.
- Configure triggers, actions, and connectors
- Run scenarios and inspect execution history
Connect Productivity Apps
Connect everyday business applications so information can move between workflow steps.
- Integrate Google Forms and Google Sheets
- Use Gmail for automated notifications
Integrate AI into Workflows
Use AI for tasks that require text understanding, classification, extraction, or content generation.
- Classify requests and summarize information
- Prepare draft responses with human review
Test and Improve Workflows
Check workflow reliability, troubleshoot common errors, and apply responsible controls.
- Test valid, incomplete, and invalid inputs
- Protect business data and document limitations
YOUR FINAL PROJECT
Build an AI-Powered Customer Request Workflow.
Build a practical workflow that captures customer requests, stores information in Google Sheets, uses AI to classify requests and prepare draft responses, and routes them for human review.
PROGRAM CURRICULUM
Learn to Design, Build, and Test Practical AI Workflows.
Progress from identifying repetitive business tasks to building a working automation with Make, productivity apps, and AI. Each module prepares you for a practical final project based on a real-world business scenario.
Module Learning Objective
Understand how workflows, rule-based automation, and AI-powered automation can improve everyday business processes. Identify repetitive tasks that are suitable for automation.
- What a workflow is and how business tasks move from input to output
- The difference between manual work, rule-based automation, and AI-powered automation
- Examples of automation in administration, marketing, and customer service
- Recognizing repetitive, time-consuming, and rule-based tasks
- Identifying tasks involving text, classification, information extraction, or summarization
- Evaluating task frequency, effort, risk, and potential business impact
- Deciding when ordinary rules are sufficient and when AI may add value
- Selecting a suitable business process for a practical automation project
- Defining the problem, expected outcome, and success criteria
Module Learning Objective
Translate a business process into a clear workflow blueprint by identifying inputs, actions, triggers, conditions, outputs, and points that require human approval.
- Identifying the information a workflow receives and the result it must produce
- Breaking a business process into clear, manageable steps
- Mapping the applications, data, and people involved in a process
- Understanding triggers and actions in an automated workflow
- Using conditions, filters, and branching to control the flow
- Defining what should happen when information is missing or a step fails
- Drawing a workflow diagram before building the automation
- Identifying decision points and human approval requirements
- Reviewing the workflow for unnecessary steps and potential risks
Module Learning Objective
Build a basic automation scenario in Make by configuring triggers, actions, application connections, and execution settings without writing code.
- Understanding the Make interface and scenario builder
- Exploring scenarios, modules, triggers, and actions
- Understanding how connected applications exchange information
- Selecting a trigger that starts the workflow
- Configuring actions that process or transfer information
- Connecting applications and mapping required fields
- Running a scenario manually to test its behavior
- Reading execution history and inspecting step results
- Understanding operation limits, plan restrictions, and potential usage costs
Module Learning Objective
Connect common productivity applications and configure a working data flow between forms, spreadsheets, and email notifications.
- Understanding how form submissions become structured data
- Connecting a form or spreadsheet to an automation scenario
- Identifying the fields needed for downstream actions
- Mapping input fields to the correct destination fields
- Handling text, dates, contact details, and other common data types
- Checking that information moves through the workflow correctly
- Connecting Gmail or another supported email service
- Creating an email notification from form or spreadsheet data
- Testing the complete flow from submission to notification
Module Learning Objective
Design prompts that help AI process workflow data consistently and return useful outputs for classification, information extraction, summarization, and response drafting.
- Combining context, instructions, input data, and expected output
- Defining the AI role and task boundaries clearly
- Writing prompts that produce consistent, task-focused results
- Classifying customer requests by category or priority
- Extracting relevant details and summarizing long messages
- Drafting responses based on the information provided
- Requesting structured outputs such as category, summary, and suggested action
- Handling incomplete input and validating the expected output format
- Understanding AI connectors, API keys, account access, credits, and usage limits
Module Learning Objective
Integrate an AI step into a no-code automation scenario and use its output to support routing, notifications, summaries, and human-reviewed responses.
- Deciding which workflow steps need AI and which can use ordinary rules
- Sending relevant form or spreadsheet data to an AI service
- Passing the AI output to subsequent workflow steps
- Using AI-generated categories or priorities to guide the workflow
- Routing different requests to different actions or destinations
- Preparing summaries and draft responses for the appropriate team
- Adding human review before important messages or business actions
- Separating AI suggestions from approved decisions
- Checking whether the automated outcome matches the intended process
Module Learning Objective
Test an automation with different input scenarios, diagnose common failures, and apply basic safeguards for data privacy, reliability, and human oversight.
- Testing normal, incomplete, empty, and invalid inputs
- Checking field mapping and the consistency of AI-generated outputs
- Confirming that conditions and routing behave as expected
- Reading execution history to identify failed steps
- Recognizing connector issues and configuring basic error handling
- Preventing duplicate actions, repeated notifications, and unintended execution
- Protecting personal information, business data, and credentials
- Understanding AI limitations, account permissions, and usage constraints
- Applying human approval and a readiness checklist before deployment
Module Learning Objective
Design, build, test, and present a practical workflow that captures customer requests, records the data, uses AI to process the information, and routes the result for human review.
- Defining the business problem and expected automation outcome
- Creating a customer request form and mapping the workflow
- Recording submitted requests in Google Sheets
- Connecting the required applications in Make
- Using AI to classify and summarize customer requests
- Generating a draft response based on the request details
- Routing requests based on category or priority
- Adding a human review step and relevant notifications
- Testing at least three input scenarios and checking workflow reliability
- Documenting the workflow, its limitations, and basic error handling
- Presenting the working scenario and explaining the design decisions
HOW YOU'LL LEARN
Learn to Turn Business Processes into Working Automations.
Develop practical automation skills through live, instructor-led workshops. Start by mapping everyday business processes, build workflows with no-code tools, and test how AI can support real operational tasks.
01
Map
Identify repetitive tasks and map the steps, inputs, outputs, and decisions involved. Learn to choose processes that are suitable for automation before building a solution.
02
Build
Connect productivity apps with Make and configure triggers, actions, and conditions. Add AI where it helps process information, classify requests, or prepare useful responses.
03
Validate
Test different input scenarios, troubleshoot errors, and check the reliability of each step. Apply human review and basic data protection before considering a workflow ready to use.
Live instructor-led workshops. Hands-on no-code automation. A practical AI-powered final project.
PROGRAM INFORMATION
Understand the Program and What You'll Build.
Explore the learning commitment, workshop format, intended participants, and final project that brings your AI automation skills together in a practical business workflow.
Program Structure
A focused learning program that takes you from workflow fundamentals to a working AI-powered automation.
- 1 month across 4 weeks
- 8 sessions, 2 sessions per week
- 2 hours per session, 16 hours total
Learning Format
Learn through guided workshops and practical exercises using no-code automation tools.
- Live instructor-led workshops
- Hands-on workflow building with Make
- Productivity app integration and AI practice
Who Should Join
Designed for people who want to reduce repetitive work and improve everyday business processes.
- Professionals and administrative staff
- Entrepreneurs and UMKM owners
- Operations, marketing, and customer service teams
- No programming experience required
Final Project
Build an AI-powered customer request workflow that connects business applications and supports a more organized response process.
- Capture requests and log data in Google Sheets
- Use AI to classify and summarize requests
- Configure conditional routing and human review
- Test, troubleshoot, and document the workflow
FREQUENTLY ASKED QUESTIONS
Before You Start Automating Your Workflow.
Find out how the program works, which tools you'll use, and what you'll build through practical AI automation exercises.
Still have questions?
Let's discuss your learning goals and explore how AI automation could help improve your everyday work.
Talk to Our TeamIs this program suitable for beginners without programming experience?
Yes. The program is designed for beginners and professionals who want to automate everyday business tasks. You don't need prior programming experience.
You'll learn to map business processes, connect applications using no-code tools, and introduce AI where it adds value.
How long is the program, and how are the sessions delivered?
The program runs for one month across four weeks, with eight sessions and 16 total learning hours.
Sessions are delivered through live, instructor-led workshops, with two sessions per week and two hours per session. You'll apply the concepts through practical workflow-building exercises.
Which tools will I learn to use?
Make is the primary no-code automation platform used in the program. You'll also work with productivity tools such as Google Forms, Google Sheets, and Gmail.
You'll learn how to connect applications, map data between steps, configure workflow logic, and integrate a compatible AI service. Specific integrations depend on account access and service availability.
What will I build during the final project?
Your final project is an AI-Powered Customer Request Automation workflow. It demonstrates how a business can capture customer requests, record information, and prepare requests for review.
The workflow will connect a request form to Google Sheets, use AI to classify and summarize requests or draft responses, and apply conditional routing with a human review step.
You'll also test different scenarios, troubleshoot basic errors, and document how your workflow operates.
Does every step in an automated workflow need to use AI?
No. A good workflow uses ordinary rules for predictable tasks and AI for tasks that benefit from language understanding, classification, information extraction, summarization, or content generation.
You'll also learn to include human review before important messages or business actions. The goal is not to automate everything with AI, but to build a practical and appropriate solution.
Do I need paid accounts, and how is business data handled?
Some integrations or AI services may require an account, API access, usage credits, or a paid subscription. These costs may be separate from the training fee, depending on the tools and accounts available for the workshop.
You'll also learn basic data protection practices, including safeguarding credentials, handling business information carefully, testing workflows before use, and keeping human approval for important decisions.
YOUR NEXT STEP STARTS HERE
Ready to Make Your Workflows Work Smarter?
Learn to connect business applications, automate repetitive tasks, and apply AI where it makes a difference. Talk to our team to discuss your goals and explore how this program can help you work more efficiently.