AI Foundations Prompt Engineering With Chatgpt Course Syllabus

Overview: This course provides a practical introduction to prompt engineering with ChatGPT, designed for learners with no prior coding experience. You'll explore core AI concepts and learn how to effectively interact with large language models to enhance productivity and automate real-world tasks. The curriculum combines foundational computing principles with hands-on applications across natural language processing, AI system design, and deployment. With approximately 15–20 hours of total content, this intermediate-level course is structured into six modules, blending theory, interactive labs, and real-world case studies to build applicable AI skills.

Module 1: Foundations of Computing & Algorithms

Estimated time: 3 hours

• Review of computing fundamentals and algorithmic thinking
• Best practices in problem-solving using computational methods
• Introduction to tools and frameworks used in AI workflows
• Hands-on exercises applying algorithmic techniques

Module 2: Neural Networks & Deep Learning

Estimated time: 3 hours

• Core concepts of neural networks and deep learning
• Understanding model training and inference basics
• Review of frameworks used in deep learning applications
• Guided project with instructor feedback

Module 3: AI System Design & Architecture

Estimated time: 4 hours

• Key concepts in AI system design
• Case study analysis of real-world AI architectures
• Hands-on exercises in structuring AI solutions
• Best practices and industry standards in deployment

Module 4: Natural Language Processing

Estimated time: 2 hours

• Applying NLP techniques using generative AI
• Interactive lab: Building text generation solutions
• Case study analysis of language model applications

Module 5: Computer Vision & Pattern Recognition

Estimated time: 2 hours

• Introduction to computer vision concepts
• Pattern recognition workflows and tools
• Interactive lab: Creating practical vision-based solutions

Module 6: Deployment & Production Systems

Estimated time: 4 hours

• Introduction to deploying AI in production environments
• Hands-on exercises with real-world deployment scenarios
• Final project with peer-reviewed assessment

Prerequisites

• Familiarity with basic computer operations
• No programming experience required
• Interest in AI applications and automation

What You'll Be Able to Do After

• Apply prompt engineering techniques to generate high-quality text outputs
• Design and implement AI-driven workflows for automation
• Use ChatGPT and similar tools effectively in professional settings
• Analyze real-world problems using computational and AI thinking
• Deploy basic AI solutions using no-code or low-code platforms