Introduction

AI has been the buzzword in modern technology for a few years now. Some like it a lot, others don’t. Whichever side you’re on, you can’t deny its impact. There are chances that you’ve used it or benefited from it in one way or another. That’s how huge, and important AI is. It has been around for much longer than most people know, and is certainly here to stay, given its usefulness in a wide variety of fields.

Applications like ChatGPT, Perplexity, Microsoft Copilot, Google Assistant, Siri, Grok and Grammarly are all AI applications. Most modern technologies integrate AI in one way or another in their updates and new releases. But, how are these AI applications made? Wouldn’t it be great if you could also build your own AI applications to enhance productivity, or your own apps? AI is huge and complex, but, lots of people and organizations have put in much effort to share knowledge and tools that you can leverage to partake in the AI boom.

That’s exactly what you’ll be doing in this course. In this lesson, you’ll learn about:

• LLM
• Prompt Engineering
• RAG
• Agentic AI
• Context Engineering
• The State of AI

In the next segment, you’ll learn more about one of the fundamental blocks in all modern AI applications, the LLM.