AI Workshop: Advanced Chatbot Development

English
paid
3 Hours
Who is this course for
1

Data Scientists and ML Engineers: Looking to advance their skills in building and deploying sophisticated AI-driven chatbots for customer engagement and service automation.

2

AI Enthusiasts and Developers: Interested in learning advanced chatbot technologies, including LLMs and the tools needed to deploy them efficiently.

3

Business Professionals: Eager to leverage chatbot solutions to improve customer interactions and streamline business operations in an AI-driven environment.

Course Overview

In this comprehensive course, Axel Sirota walks you through the process of developing and deploying advanced chatbots that leverage cutting-edge AI technologies. You’ll dive deep into chatbot development using Hugging Face and gain hands-on experience with large language models (LLMs). Through practical examples, you will learn how to build chatbots using the OpenOrca dataset and deploy them using Gradio on Hugging Face Spaces as well as to AWS ECS using Docker and Terraform.


This course also focuses on optimizing performance and ensuring the efficiency of your chatbots, essential skills for delivering exceptional customer experiences. Designed for data scientists and ML engineers, the course equips you with the tools and knowledge needed to create sophisticated AI-driven chatbots that meet modern business needs.


What You'll Learn
  • Hands-on experience in building and deploying advanced chatbots
  • Understanding of chatbot technologies and trends to stay ahead in the digital landscape
  • Practical knowledge of Hugging Face for chatbot development and deployment
  • Techniques for deploying chatbots to AWS ECS using Docker and Terraform
  • Strategies for optimizing performance and efficiency of AI-driven solutions

Skills You'll Gain
Chatbot development
Machine Learning
Generative AI
Course Overview
AI Workshop: Advanced Chatbot Development

Cost:

299.00 THB


Ready to Enroll?

Enroll through the course provider's website

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