What to Expect:
1. Fundamentals of Web Hosting
-Introduction to web hosting and domains.
- Difference between domain registration and hosting.
- Understanding different Types of hosting
- How buy a domain name and register it.
- Register a Free domain.
- Learn and get to Host a Website
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2.Classify images of clouds in the cloud with AutoML Vision

AutoML Vision helps developers with limited ML expertise train high quality image recognition models. Once you upload images to the AutoML UI, you can train a model that will be immediately available on GCP for generating predictions via an easy to use REST API.

In this lab, we will upload images to Cloud Storage and use them to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).

What you'll learn
-Uploading a labeled dataset to Google Cloud Storage and connecting it to AutoML Vision with a CSV label file
-Training a model with AutoML Vision and evaluating its accuracy
-Generating predictions on your trained model

2. Load and Analyze Data in BigQuery
BigQuery is a fully-managed, petabyte-scale, low-cost enterprise data warehouse for analytics. BigQuery is serverless. You do not need to set up and manage clusters.

A BigQuery dataset resides in a project. A dataset contains one or more tables with data.

In this session, you will use the BigQuery web UI to query public datasets, load your own data, and export data to a Cloud Storage bucket.

What you'll learn
How to query public datasets
How to load data into a table
How to export table data