Rasa Advanced Deployment Workshop
What you'll learn
- Deploying a Rasa assistant and Rasa X using Kubernetes
- Identifying and managing the services that make up a Rasa X/Rasa Open Source deployment
- Scaling the cluster and resource requirements
- Deploying updates using CI/CD (GitHub Actions)
Course content
- Preview04:02
Requirements
- Have access to a Ubuntu server with admin privileges, 15 GB of memory, and 100 GB of disk space
- Familiarity with hosting and deploying applications
- Familiarity with the Unix command line
- GitHub account
Description
NOTE: As of August 25 2021 this course is not longer actively supported by the Rasa team. If you have questions, please head to the Rasa forums at forum [dot] rasa [dot] com
Take the next step in your Rasa journey with the Advanced Certification in Deployment. This certification workshop is designed for experienced Rasa developers and DevOps professionals who want to grow and test their knowledge of Rasa Open Source + Rasa X architecture, Kubernetes, and CI/CD.
The Deployment Certification workshop is led by Arjaan Buijk, Solutions Engineer at Rasa. As a Solutions Engineer, Arjaan works with Rasa’s largest enterprise customers to build and deploy Rasa assistants. You’ll receive hands-on guidance and training to help you host Rasa Open Source and Rasa X on your own infrastructure and ensure stable updates to your assistant.
To follow along, you'll need access to a server with the following requirements:
Running Ubuntu 16.04 / 18.04
admin privileges
15 GB of memory
100 GB of disk space
Rasa is an open source machine learning framework for automated text and voice-based conversations. Understand messages, hold conversations, and connect to messaging channels and APIs.
Rasa X is a tool for Conversation-Driven Development (CDD), the process of listening to your users and using those insights to improve your AI assistant.
Who this course is for:
- DevOps engineers
- Chatbot developers
- Data scientists curious about DevOps
Instructors
![Rasa Technologies](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.4 Instructor Rating
- 800 Reviews
- 9,584 Students
- 2 Courses
Rasa supplies the standard infrastructure for conversational AI, providing the tools required to build better, more resilient contextual assistants. With more than 3 million downloads since launch, Rasa Open Source is loved by developers worldwide, with our friendly, fast-growing community learning from each other and working together to make better text- and voice-based AI assistants. Rasa offers three key products in its suite of conversational AI offering. Rasa Open Source is the most popular open source software in conversational AI. Rasa X, released in 2019, is a free toolset that helps developers quickly improve and share an AI assistant built with Rasa Open Source. Rasa Enterprise is the company's commercial offering, providing an enterprise-grade platform for developing contextual assistants at scale. Rasa runs in production everywhere from startups to Fortune 500s, and provides the data privacy and security needed to enterprises of every size. Rasa is privately held, with funding from Accel, Andreessen Horowitz, Basis Set Ventures, and others. The company was founded in 2016 and has offices in San Francisco and Berlin.
- 4.4 Instructor Rating
- 1,237 Reviews
- 8,383 Students
- 2 Courses
Mady Mantha is the Head of Evangelism at Rasa. Mady studied Computer Science at Georgetown University. Her work focuses on natural language processing, and operationalizing machine learning and conversational AI pipelines. She has years of experience building ML-driven products and services for think tanks, startups, and enterprises. Mady is a space enthusiast.