- 1. UDEMY 2021 - Taming Big Data with Apache Spark and Python – Hands On!
- 2. UDEMY 2021 - Advanced C Programming: Pointers
- 3. UDEMY 2021 - Angular 2 Complete E-Commerce App Course – Java,Spring,MySQL
- 4. UDEMY 2021 - Scrum Certification Prep +Scrum Master+ Agile Scrum Training
Complete, Easy and Fast to learn. Build Telegram Chat Bots with Node.js using the Modern Telegraf Framework
What you’ll learn
Telegram is a cloud-based instant messaging app that provides API to developers to create bots that interact with users. This course aims to provide you with complete set of knowledge on how to build amazing Telegram Bots.
First you will be learning the basic bot functions where you will understand the fundamental building blocks of the framework.
Next we will learn how to build 7 different bots, each focusing on a specific area that will allow you to familiarize yourself with the framework and Telegram Bot API.
The 7 Bots that you will build:
Finally we will learn how 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 do not have to worry about it crashing when there are too many users. You also do not have to worry about managing your own server and it is also free and extremely cheap to host with AWS Lambda.
All the bot scripts and codes will be available for you to download and use to maximize your learning and gain the most from the course.
At the end of the course, you will know how to do simple logging into a group chat, send different types 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 many more.
This course also gives you a good stepping stone for you to explore deeper into building more complex bots.
If you would like to see in detail what each bot does, you can check out the sections below.
Who this course is for:
Created by Mark TanLast updated 12/2019EnglishEnglish [Auto-generated]
Size: 2.74 GB