No Code AI Agents: Build Workflow & Calendar Automations

This course is part of AI Agents for Dummies Specialization

Instructor: LearnQuest Network

Included with

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3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

No prior experience required

3 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

No prior experience required

3 hours to complete

Flexible schedule

Learn at your own pace

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Shareable certificate

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This course is part of the AI Agents for Dummies Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 3 modules in this course

This hands on course teaches you to build practical AI agents using free or freemium no code tools, even if you have never written a line of code. You will start by translating a simple real world workflow into a series of triggers, conditions, and actions that an AI agent can execute. Using platforms such as Vellum, Zapier, Make, Power Automate, or Dify, you will configure agents to manage tasks, schedule meetings, and send follow up messages. The course emphasizes safe experimentation: you will work in sandbox environments, use dummy data, and keep humans in the loop. You will practice debugging misbehaving agents, improving prompts, and refining workflows based on observed behavior. By the end, you will have at least one working AI agent that automates a personal or team workflow involving calendars, reminders, or lightweight coordination tasks.

In your day-to-day work, processes like scheduling, approvals, or task tracking often feel messy, manual, and hard to improve. This module shows you how to turn those real-world workflows into clear, structured designs for no-code AI agents. You will learn how to break work into steps, identify triggers and conditions, and decide when to use simple rules versus AI-driven judgment. You will also practice visualizing workflows in a tool-agnostic way so you can apply them anywhere. By the end of this module, you will be able to translate a messy workflow into a structured agent design ready for implementation.

What's included

19 videos1 reading1 assignment

19 videosTotal 50 minutes

Welcome to From Workflow to No Code AI Design2 minutes
From Workflow to No Code AI Design1 minute
See the Pattern You’ve Been Working Inside3 minutes
Name the Workflow Before You Fix the Work3 minutes
Break Work into Automatable Units3 minutes
Translate Structure into System Logic3 minutes
List and Structure Your Daily Work3 minutes
Select and Validate Your Automation Candidate3 minutes
Start with Customer-Facing Workflows3 minutes
Map One High-Impact Workflow This Week2 minutes
Notice the Step That Keeps Failing3 minutes
Name the Missing Structure in Your AI Step3 minutes
Design AI Steps as Structured Work Units3 minutes
Translate Prompts into Reliable Workflow Components3 minutes
Build AI Steps That Produce Reliable Outputs3 minutes
Refine and Integrate AI Steps Into Your Workflow3 minutes
Prioritize Email Triage Where Errors Are Visible3 minutes
Apply One Structured AI Step This Week3 minutes
From Workflow to Building1 minute

1 readingTotal 5 minutes

Action Story: When “Working Faster” Isn’t Fixing the Workflow5 minutes

1 assignmentTotal 10 minutes

From Workflow to No Code AI Design - Quiz10 minutes

In this module, you move from planning to building by working directly inside no-code AI platforms. You will set up accounts, connect tools like email and calendars, and use visual builders to create working automations. You will also learn how to safely configure AI steps, handle authentication, and test workflows so they behave reliably in real scenarios. Along the way, you will compare platforms based on usability, integrations, and governance features to understand tradeoffs. By the end of this module, you will be able to build, test, and evaluate a complete no-code AI workflow using real tools.

What's included

17 videos1 reading1 assignment

17 videosTotal 41 minutes

Building Agents with Free No Code Tools2 minutes
Spot the Hidden Manual Work2 minutes
Name the Process Before You Build It2 minutes
Read the Logic Behind the Canvas3 minutes
Build Workflows You Can Observe and Trust3 minutes
Build One Flow, Test It Completely3 minutes
Scope Small, Verify Everything2 minutes
Start With the One Task You Do Every Week2 minutes
Make One Workflow Reliable Before Building Another2 minutes
Find Where the Workflow Breaks on Meaning2 minutes
Separate Data Movement from Decision-Making2 minutes
Constrain AI Before You Deploy It3 minutes
Place AI Where It Helps, Constrain It Everywhere Else3 minutes
Insert AI Into a Workflow You Already Trust3 minutes
Define the Task, Then Build the Safeguard2 minutes
Apply AI Where Interpretation Slows the Team3 minutes
Gate the Output, Then Watch What Happens3 minutes

1 readingTotal 5 minutes

Action Story: When Your “Automation” Works Once—and Fails in Real Life5 minutes

1 assignmentTotal 10 minutes

Building Agents with Free No Code Tools - Quiz10 minutes

In many roles, your day is shaped by meetings, messages, and follow-ups, yet the tools you use rarely help you manage them intelligently. In this module, you will build AI agents that connect directly to your calendar and communication systems to support scheduling, task tracking, and lightweight updates. You will learn how to turn availability into actionable scheduling decisions, convert incoming work into structured tasks, and generate timely reminders without creating noise or risk. By the end of this module, you will be able to design and configure a privacy-aware productivity agent that actively supports your daily workflow.

What's included

18 videos1 reading1 assignment

18 videosTotal 49 minutes

Calendar, Tasks, and Personal Productivity Agents1 minute
Coordination Friction: Why Your Calendar Feels Disorganized3 minutes
From Free Slots to Viable Time: Rethinking Calendar Scheduling3 minutes
Design Scheduling Decisions from Calendar Data3 minutes
Translate Availability into Intelligent Scheduling3 minutes
Design the Calendar Connection and Availability Layer3 minutes
Build the Scheduling Logic and AI Suggestion Layer3 minutes
Handle Scheduling Where Errors Actually Cost You3 minutes
Prioritize Where Calendar Agents Actually Deliver Value3 minutes
See the System You’re Actually Using3 minutes
Notice the Gap Between Action and Follow-Through3 minutes
Think in Triggers, Not Tasks3 minutes
Map How Work Moves, Not Just What Exists3 minutes
Design an Automated Task and Follow-Up Workflow3 minutes
Build Reliable Task and Follow-Up Automation3 minutes
Prioritize Follow-Ups Where Failure Is Costly3 minutes
Focus Automation on Missed Commitments3 minutes
End of Course1 minute

1 readingTotal 5 minutes

Action Story: When “Free Time” Keeps Breaking Your Schedule5 minutes

1 assignmentTotal 20 minutes

Calendar, Tasks, and Personal Productivity Agents - Quiz20 minutes

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Instructor

LearnQuest Network

LearnQuest

205 Courses988,047 learners

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