AI For Professional Communication Course Syllabus

Overview: This course provides a beginner-friendly introduction to AI for professional communication, focusing on practical applications of AI tools to improve writing, clarity, and workplace productivity. Designed for non-technical learners, it covers core AI concepts and their real-world communication uses. The course spans approximately 14–18 hours of material, divided into six modules, combining interactive labs, hands-on exercises, and assessments to reinforce learning.

Module 1: Foundations of Computing & Algorithms

Estimated time: 3 hours

• Review of tools and frameworks commonly used in practice
• Interactive lab: Building practical solutions
• Hands-on exercises applying foundations of computing & algorithms techniques

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

Module 3: AI System Design & Architecture

Estimated time: 1–2 hours

• Review of tools and frameworks commonly used in practice
• Case study analysis with real-world examples
• Assessment: Quiz and peer-reviewed assignment

Module 4: Natural Language Processing

Estimated time: 4 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: 3–4 hours

• Introduction to key concepts in computer vision & pattern recognition
• Discussion of best practices and industry standards
• Assessment: Quiz and peer-reviewed assignment

Module 6: Deployment & Production Systems

Estimated time: 2–3 hours

• Guided project work with instructor feedback
• Interactive lab: Building practical solutions
• Case study analysis with real-world examples
• Discussion of best practices and industry standards

Prerequisites

• No prior technical background required
• Basic familiarity with professional communication concepts
• Access to a computer and internet for using AI tools

What You'll Be Able to Do After

• Apply computational thinking to solve communication challenges
• Use AI tools to improve writing clarity and professionalism
• Implement prompt engineering techniques for large language models
• Build and deploy AI-powered communication applications
• Evaluate model performance using appropriate metrics and benchmarks