In this 1-hour long project-based course, you will learn how to connect Rasa Chatbot to external platforms. The course will guide you through the process of enabling an encrypted connection (HTTPS) using a proxy server from Ngrok. You will also gain insights into connecting to Facebook Messenger using a Facebook Developer Account and creating custom buttons like quick replies and Carousel Cards for listing elements.
Additionally, you will explore how to connect the chatbot to Telegram, customize buttons, and add attachments to a response. The course will also cover the integration of the bot on the business communication platform Slack. By the end of the project, you will be equipped to connect your chatbot to external users on public platforms, customizing responses and ensuring encrypted connections. Please note that this course is tailored for learners based in the North America region, with future plans to expand to other regions for a similar experience.
Certificate Available ✔
Get Started / More Info
Machine Learning and Reinforcement Learning in Finance equips students with practical skills to apply ML to financial problems, focusing on applications for practitioners,...
This course provides a comprehensive overview of implementing machine learning on Google Cloud, including the use of Vertex AI and responsible AI practices.
Learn to forecast trends, evaluate models, and enhance prediction accuracy using statistical analysis and spreadsheet visualization in this 2-hour guided project....
AI-Driven Attribution Testing is a comprehensive course that equips learners with fundamental concepts and practical applications of AI-powered attribution testing,...