AI Automation
What You'll Learn
- Distinguish between supervised, unsupervised, and semi-supervised machine learning models based on labeled and unlabeled datasets
- Differentiate generative AI models from discriminative models by analyzing their outputs, from categories and numerical scores to generated text, imagery, and video
- Construct automated cross-app workflows in Zapier by mapping dynamic fields between triggers like Google Forms and actions like Gmail
- Configure an automated missed-call text-back sequence integrated with a business profile to recover lost customer inquiries
- Train a customer-facing conversational AI bot by ingesting website URLs and defining custom FAQ knowledge bases to answer client inquiries automatically
- Calculate client return on investment for automation services using baseline metrics like average client value, missed call volume, and close rates
About This Course
In this course, you will build a solid grounding in core artificial intelligence concepts and put them directly into practice using no-code automation tools. You will trace how machine learning, deep learning, and large language models fit together, distinguishing discriminative classifiers from generative systems. From there, you will move from foundational theory to practical implementation by wiring up real-world workflows that handle routine business operations. You will assemble automated pipelines using tools like Zapier and conversational bots to capture leads, process customer inquiries, and trigger instant communications. By linking triggers and actions across apps like Google Forms and Gmail, configuring missed-call text-back automations, and training AI agents directly on website content, you will walk away ready to deploy complete automation systems for your own projects or for local business clients.
Who this is for: This course is designed for non-technical beginners, entrepreneurs, and service providers who want to build practical AI systems without writing code. No prior background in programming, computer science, or digital marketing is required.
Modules
01: Introduction to AI Automation
44 min
02: No-Code Workflow Automation
73 min
03: Automating with AI Agents
24 min
04: Building Custom and Agentic AI Workflows
78 min
01: Introduction to AI Automation
44 min
02: No-Code Workflow Automation
73 min
03: Automating with AI Agents
24 min
04: Building Custom and Agentic AI Workflows
78 min
Final Quiz
Covers all 4 modules. Pass with 80% or higher to complete the course.
New To YouVersity?
This course is built from real YouTube videos, structured into modules with quizzes and progress tracking. Original creators keep every view and every ad dollar — courses just send them focused, motivated viewers.
- Structured modules
- Free to enrol
- Progress saved across devices
- Quizzes after each section
Ready To Start?
Begin the first module now. No credit card needed
Before You Decide
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