AI Agents Creator Tools For Marketing Professionals Course Syllabus

Overview: This course provides a practical introduction to AI agents and creator tools tailored for marketing professionals. Designed for beginners, it blends foundational AI concepts with hands-on applications to streamline content creation, campaign automation, and marketing strategy. The curriculum spans six modules, totaling approximately 15-18 hours of learning, combining interactive labs, real-world case studies, and guided projects. Participants will gain confidence in using AI-powered tools without needing technical backgrounds, making it ideal for marketers aiming to enhance creativity and efficiency through AI.

Module 1: Foundations of Computing & Algorithms

Estimated time: 4 hours

• Introduction to key concepts in foundations of computing & algorithms
• Discussion of best practices and industry standards
• Interactive lab: Building practical solutions
• Case study analysis with real-world examples

Module 2: Neural Networks & Deep Learning

Estimated time: 2 hours

• Introduction to key concepts in neural networks & deep learning
• Hands-on exercises applying neural networks & deep learning techniques
• Assessment: Quiz and peer-reviewed assignment

Module 3: AI System Design & Architecture

Estimated time: 2 hours

• Review of tools and frameworks commonly used in practice
• Discussion of best practices and industry standards
• Interactive lab: Building practical solutions
• Hands-on exercises applying AI system design & architecture techniques

Module 4: Natural Language Processing

Estimated time: 3 hours

• Introduction to key concepts in natural language processing
• Hands-on exercises applying natural language processing techniques
• Discussion of best practices and industry standards

Module 5: Computer Vision & Pattern Recognition

Estimated time: 3 hours

• Interactive lab: Building practical solutions
• Guided project work with instructor feedback
• Assessment: Quiz and peer-reviewed assignment

Module 6: Deployment & Production Systems

Estimated time: 4 hours

• Interactive lab: Building practical solutions
• Discussion of best practices and industry standards
• Assessment: Quiz and peer-reviewed assignment

Prerequisites

• Familiarity with basic digital marketing concepts
• No coding experience required
• Access to a modern web browser and internet connection

What You'll Be Able to Do After

• Build and deploy AI-powered applications for real-world marketing use cases
• Apply prompt engineering techniques to large language models for content generation
• Implement intelligent systems using modern AI frameworks and libraries
• Understand core AI concepts including neural networks, deep learning, and transformer architectures
• Use computational thinking to solve complex marketing challenges with AI