Telegram could be a cloud-based instant messaging app that gives API to developers to make bots that interact with users. This course aims to supply you with a complete set of information on the way to build amazing Telegram Bots.
First, you may be learning the fundamental bot functions where you may understand the elemental building blocks of the framework.
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Next, we are going to learn the way to create 7 different bots, each specializing in a particular area that may allow you to familiarize yourself with the framework and Telegram Bot API. The 7 Bots that you simply will build:
Search Bot – Supports inline query in order that anyone in any chat can send an inline query to the bot to look for images or Wikipedia pages. Finally, we are going to learn the way to deploy our bot using the Serverless Architecture with AWS Lambda and AWS API Gateway.
The Serverless Architecture will allow your bot to scale automatically and you are doing not should worry about it crashing when there are too many users. you furthermore might don’t should worry about managing your own server and it’s also free and intensely cheap to host with AWS Lambda.
All the bot scripts and codes are going to be available for you to download and use to maximize your learning and gain the foremost from the course.
At the top of the course, you may understand how to try to simple logging into a gaggle chat, send differing kinds of files, use external API, read Google Sheets, create custom keyboards with interactive menus, handle inline queries, and automatically post content from websites like Instagram and Facebook into your channel and lots of more.
This course also gives you an honest stepping stone for you to explore deeper into building more complex bots. If you’d prefer to see intimately what each bot does, you’ll be able to take a look at the sections below. Who this course is for: Beginners who are curious to make Telegram bots Anyone who want to make Telegram Bots with complex functions Anyone who wants to know and learn Telegram Bot API
Created by Mark
Tan Last updated
Size: 2.74 GB