Golang for Beginners Online Course

Golang for Beginners Online Course

This course is designed to help you strengthen your knowledge of Golang by building practical projects. Instead of just learning the theory, you will apply what you know to create real-world applications. You will start with an introduction to Go, covering its fundamental concepts. Then, you will work on three hands-on projects: a Nutrition Calculator, a Google Trends Data Analyzer, and a Google Translate Tool. By completing these projects, you will gain experience with Go’s core features, including data structures, XML handling, concurrency, and parallel processing. By the end of this course, you will be confident in using Golang to develop your own applications and add completed projects to your portfolio.

Key Benefits

• Hands-on Learning – Gain real-world experience by building functional applications.
• Deep Understanding – Reinforce your knowledge of Go while working on structured projects.
• Portfolio Building – Showcase your completed projects to potential employers.
• Industry-Relevant Skills – Learn how Golang is used in real-world applications, from data analysis to automation.
• Practical Problem Solving – Work on challenges that developers face when building applications.

Target Audience

This course is ideal for:

• Beginners with basic Golang knowledge who want to advance their skills by working on real projects.
• Developers from other programming backgrounds who want to learn and apply Go concepts in a structured way.
• Software engineers looking to improve their problem-solving skills with practical projects.

Learning Objectives

By the end of this course, you will:

• Understand the core features of Golang and its real-world applications.
• Learn how to structure projects and manage Go files efficiently.
• Work with structs, slices, loops, functions, and methods in Go.
• Process and manage XML data while working with APIs.
• Understand concurrency, parallelism, and go-routines in Go.
• Apply Go concepts to build three complete applications.

Course Outline

The Golang for Beginners Exam covers the following topics - 

Module 1. Getting Started with Golang

• Introduction to the course and what you will learn.
• Meet the instructor and how to connect for queries.
• Tips and techniques for learning Golang faster.
• Overview of the three projects you will build.
• Important notes before starting.

Module 2. Project 1 – Building a Nutrition Calculator

• Overview of the key Go concepts used in this project.
• Understanding the goals and purpose of the project.
• Explanation of the different score types in the nutrition system.
• Introduction to measurement units in nutritional calculations.
• Breakdown of the nutritional data and how it is used.
• Creating a step-by-step plan for the project.
• Setting up the project environment and required files.
• Writing the main application logic.
• Defining structures for nutritional scores and data processing.
• Implementing a function to calculate the nutrition score.
• Creating methods to extract different score components.
• Writing logic for calculating energy and sodium points.
• Developing a structured system to assign scores.
• Using slices to store and retrieve steps and points.
• Implementing a function to fetch points within a specific range.
• Applying calculations for different nutritional factors.
• Assigning scores for protein, fiber, and fruit content.
• Managing special cases like beverages and cheese.
• Determining the final nutrition grade.
• Reviewing the project and understanding key takeaways.
• Running and testing the final application.

Module 3. Project 2 – Analyzing Google Trends Data

• Overview of what this project aims to accomplish.
• Important considerations before starting the project.
• Understanding the XML format and how it is used in Google Trends.
• Key Golang features that will be used in this project.
• Planning the project workflow using visual guides.
• Setting up the project structure and required dependencies.
• Defining the data structures for storing trends and news items.
• Using diagrams to understand how data is stored in Go.
• Creating structured models for RSS feeds and channel data.
• Assigning correct data types to variables inside structs.
• Fixing issues related to struct definitions and handling errors.
• Working with XML files and defining structured XML data.
• Writing a function to fetch Google Trends data from an API.
• Reading and processing XML data efficiently.
• Understanding and implementing the Unmarshal function in Go.
• Printing the extracted Google Trends data in a readable format.
• Testing the project to ensure correct output.
• Exploring real-world applications and improvements for the project.

Module 4. Project 3 – Developing a Google Translate Tool

• Introduction to the project and what it aims to achieve.
• Planning the project workflow for better understanding.
• Identifying challenges and how to solve them.
• Understanding concurrency and parallel execution in Go.
• Implementing sequential processing and analyzing its drawbacks.
• Learning how to execute tasks in parallel for efficiency.
• Exploring the concept of concurrency in Golang.
• Implementing go-routines for multitasking.
• Using channels to enable communication between routines.
• Understanding the importance of WaitGroups in concurrency.
• Comparing execution with and without WaitGroups.
• Writing the main program file to bring everything together.
• Building a Command Line Interface (CLI) for user interaction.
• Adding complexity to the project and handling multiple tasks.
• Using a structured approach to create translation queries.
• Extracting and parsing JSON responses from the API.
• Managing dependencies and handling module files in the project.

Module 5. Final Steps and Future Learning

• Running and testing the Google Translate tool.
• Exploring more advanced Golang topics.
• Summary of key lessons learned throughout the course.
• Next steps and additional resources to continue learning Golang.