AI ENGINEERING

Introduction to AI

Introduction to AI is a foundational course designed to help students understand the core concepts behind modern Artificial Intelligence (AI) and confidently begin working with today’s AI technologies. Rather than focusing on a specific product or vendor, the course explains the fundamental principles that power modern AI systems, including Large Language Models (LLMs), AI assistants, AI agents, and prompt engineering.

Participants will learn what Artificial Intelligence is, how Large Language Models generate responses, and how AI tools such as ChatGPT, Claude, Gemini, and Microsoft Copilot fit into the broader AI ecosystem. The course also introduces AI agents, responsible AI usage, and practical prompting techniques that help users communicate effectively with AI assistants and consistently produce better results.

Designed for beginners, this course establishes a strong conceptual foundation for future learning in Artificial Intelligence, secure AI development, and AI-assisted cybersecurity, cloud computing, software development, and automation.

Course Summary

Understand Artificial Intelligence, Large Language Models, AI tools, agents, and prompting fundamentals to confidently and responsibly use modern AI in everyday work.

Piotr Kaluzny

Instructor

 

Domain
AI Engineering
Vendor
Neutral
Status
Complete
Duration
1 hour
Level
  • Understand the fundamental concepts of Artificial Intelligence and Large Language Models (LLMs)
  • Differentiate between AI companies, models, applications, and AI agents
  • Identify the capabilities, limitations, and common use cases of modern AI technologies
  • Learn how to communicate effectively with AI using practical prompting techniques
  • Create structured prompts using instructions, context, input data, and output indicators
  • Apply AI best practices to improve accuracy, protect sensitive information, and use AI responsibly

This course is intended for anyone interested in understanding Artificial Intelligence, regardless of technical background. It is suitable for IT professionals, students, business users, educators, managers, and anyone looking to build a solid foundation before exploring more advanced AI, cybersecurity, cloud computing, software development, or automation topics.

There are no formal prerequisites for this course. No programming experience or prior knowledge of Artificial Intelligence is required. Participants need only access to a modern web browser and a free AI assistant, such as ChatGPT, Claude, or Gemini, to complete the practical exercises.

Course Content
Overview
Course Introduction2m
AI Basics
1. What Is Artificial Intelligence (AI)?9m
2. Understanding Large Language Models (LLMs)8m
3. AI Tools and Capabilities6m
4. AI Agents5m
5. AI Best Practices4m
Starting with AI
6. Practical AI - Prompting Fundamentals31m
Resources
Review Questions
Further Reading
Virtual Lab