Agentic AI Chatgpt Zapier Course Syllabus

Overview: This course provides a practical introduction to building AI-powered automation workflows using Agentic AI, ChatGPT, and Zapier. Designed for beginners, it combines core AI concepts with hands-on automation techniques to help learners enhance productivity and streamline real-world business processes. The course spans approximately 18-24 hours of learning and project work, delivered through interactive labs, guided exercises, and real-world case studies. No prior coding experience is required, making it ideal for professionals, entrepreneurs, and marketers looking to leverage AI tools effectively.

Module 1: Foundations of Computing & Algorithms

Estimated time: 4 hours

• Introduction to computing fundamentals and algorithmic thinking
• Applying algorithms to solve practical problems
• Best practices and industry standards in automation
• Interactive lab: Building a basic workflow using algorithmic logic

Module 2: Neural Networks & Deep Learning

Estimated time: 2 hours

• Core concepts of neural networks and deep learning
• Understanding AI model structures and training processes
• Review of common frameworks used in AI applications
• Hands-on exercise: Simulating simple neural network behavior

Module 3: AI System Design & Architecture

Estimated time: 3 hours

• Principles of AI system design
• Designing intelligent automation architectures
• Best practices for scalable and maintainable AI systems
• Interactive lab: Building a practical AI-driven solution

Module 4: Natural Language Processing

Estimated time: 2 hours

• Introduction to natural language processing (NLP)
• Applying NLP techniques using AI tools like ChatGPT
• Using NLP in real-world automation scenarios

Module 5: Computer Vision & Pattern Recognition

Estimated time: 3 hours

• Key concepts in computer vision and pattern recognition
• Integrating vision-based AI into workflows
• Case examples and instructor-guided project feedback

Module 6: Deployment & Production Systems

Estimated time: 4 hours

• Deploying AI workflows into production environments
• Applying deployment techniques using automation platforms
• Case study analysis: Real-world automation implementations
• Final project: Building and presenting an automated AI workflow

Prerequisites

• Familiarity with basic computer operations
• No coding experience required
• Access to a web browser and internet connection

What You'll Be Able to Do After

• Build and deploy AI-powered automation workflows using ChatGPT and Zapier
• Design intelligent systems using modern AI frameworks and best practices
• Apply natural language processing and computer vision techniques in real-world scenarios
• Implement automation solutions for business productivity and marketing
• Evaluate AI model performance and system effectiveness