In this module, we will dive into the core filters and options used in Jq. You will learn how to use the identity filter, explore different ways of passing JSON data, and apply the field filter for specific data extraction. We will also cover how to obtain raw string values for given keys and how to combine various filters for more complex tasks.

In this module, we will focus on applying Jq commands within shell scripts to interact with REST APIs. You will learn how to use Jq to extract sensitive information like usernames and passwords from API responses and integrate this functionality into your shell scripts for automation and data processing.

In this module, we will explore working with JSON arrays using the Jq command. You will learn the basic concepts of arrays, how to slice them to extract specific elements, and how to combine slicing with other Jq filters for more complex tasks in data manipulation.

In this module, we will focus on constructing different JSON data types such as objects, arrays, null, numbers, strings, and booleans using Jq. You will learn how to create these structures both with and without inputs, and how to control output formatting using indentation and compact options for different use cases.

In this module, we will introduce you to Jq functions and how to use pipes to combine them effectively. You will explore key functions such as join, range, has, map, and select, and learn how to apply them to real-world JSON data for efficient manipulation and filtering.

In this module, we will explore how to work with OS environment and custom variables in Jq. You will learn how to manage variables using the env object, employ the -arg option, and use functions like tonumber and tostring for data conversion. Additionally, you will see how to integrate variables into filters and conditionals for dynamic JSON manipulation.

In this module, we will cover how to use conditional statements in Jq for more advanced data filtering and decision-making. You will learn how to apply if, if-else, and if-elif-else constructs to manipulate JSON data based on conditions, creating flexible and powerful processing logic.

In this module, we will explore how the Jq command's exit status can be used in Bash shell scripting. You'll learn how to interpret these exit statuses, incorporate them for effective error handling, and automate decision-making processes in your scripts based on Jq's success or failure.

In this module, we will explore string operations using Jq. You will learn how to concatenate multiple strings, as well as encode and decode string data. These skills will be essential for manipulating and formatting string values within JSON structures efficiently.

In this module, we will focus on performing arithmetic operations on integers and floating-point numbers using Jq. You will learn how to apply arithmetic operators and integrate these calculations into your JSON processing tasks.

In this module, we will demonstrate how to create a Bash array from a JSON array using Jq. You will learn how to transfer JSON data into Bash variables and integrate these arrays into shell scripts for dynamic and automated data processing.

In this module, we will explore how to use Jq with Kubernetes by integrating it with kubectl commands. You will learn how to filter and extract data from Kubernetes resources and automate workflows for efficient Kubernetes management.