This introductory course for AI engineers is designed to provide a brief hands-on experience of the entire process, from data processing and model development to cloud, MLOps, and ethical considerations. It focuses on building practical skills by helping students understand the process of connecting models to actual services, rather than just creating them. The course includes hands-on exercises and examples so that even those learning AI for the first time can easily follow along.

Let's learn together about Columnar Storage, which allows you to conveniently handle both structured and unstructured data provided by GCP and allows for a free table format, and BigQuery, a universal database.

Do you still feel like something is lacking even after taking all the AWS beginner, intermediate/advanced courses? The AWS practical course is just for you.

Do you want to master the Python language? This course is designed to help even those with no coding experience learn Python easily through fun examples. In addition, the extensive coding exercises will greatly help improve your coding skills.

Have you completed the AWS beginner course but are you still lacking 2%? You thought you knew a lot about AWS but there are still some areas that need to be refined? Let's fill in that 2% with the AWS intermediate/advanced course! Until the day you become a Data Engineer Expert!

Let's learn the core theories of AWS services that are often used in companies and various projects these days, and make AWS completely our own through hands-on practice!