SQL and databases

1. SQL and databases

Welcome to your first step into learning SQL with AI. Whether you're new to AI, SQL, or both, this is the perfect place to start.

2. Learning SQL with AI

Imagine being able to write complex SQL code like this in just a few seconds with AI. That's where we're headed. However, to work effectively with AI, we need to understand the code.

3. Learning SQL with AI

Think of it as training; you wouldn't attempt a marathon on day one! You start with shorter distances

4. Learning SQL with AI

and build up to the big race. Same with using AI to write code.

5. Learning SQL with AI

AI can write SQL code in seconds, but it can make mistakes. The key is in understanding the SQL code to spot issues, ask the right questions, and trust the results.

6. Learning SQL with AI

In this course, we'll learn to explore databases using SQL with AI to count records, find unique values, limit results, and label output. We'll also learn to write effective prompts to generate the SQL code we need. As we progress, we'll see how SQL fits into a broader analytical workflow that professionals use across every industry. Let's begin.

7. Structured Query Language

SQL, or Structured Query Language, is one of the most widely used programming languages for communicating with databases. These databases are organized collections of data stored electronically,

8. Databases

typically structured in tables with rows and columns, much like a sophisticated spreadsheet system. They are capable of storing massive amounts of data,

9. Databases

and live on servers, which are powerful computers designed to manage and share data across networks. This setup enables entire teams to access, explore, and collaborate on the same data simultaneously.

10. SQL in industry

SQL helps hospitals track treatment outcomes, banks detect fraud, and retailers understand customer behavior, powering analysis across every industry.

11. SQL with AI

With AI, we can describe what we want to know in everyday language, and the AI generates the corresponding SQL code, even adapting to different SQL variations.

12. SQL queries

SQL uses commands called queries to get specific information from databases. When we write SQL queries, we're sending instructions to servers, which process them and return the specific data we need from the database.

13. SQL with AI

For example, we might write a prompt: "What are the product names?" A prompt is a message to the AI assistant that describes what we want to know.

14. SQL with AI

The AI assistant interprets our prompt

15. SQL with AI

and suggests the corresponding SQL query

16. SQL with AI

we can review, adjust, or execute. Here, it suggested SELECT product_name FROM products. This is a SQL query that asks for one column, product name, from one table in the database, products.

17. SQL with AI

The AI has also applied some formatting best practices by capitalizing keywords, like SELECT and FROM, and including a semi-colon to indicate the end of the query.

18. Learning SQL with AI

Throughout this course, we've connected the AI assistant to a database from a fictional store, PoweredHomes, and given it details that it needs to write accurate SQL code.

19. Let's practice!

Let's begin with some practice.

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