IBM SkillsBuild Enhancing Applications with Embeddable AI
About the course:
Are you ready to build your own applications with AI? Take this "Enhancing Applications with Embeddable AI" learning path and explore the exciting world of Embeddable AI technology. Don't worry, you don't need to be an AI engineer or a Data Scientist to get your applications to benefit from the latest in AI technology. Basic programming skills are all you will need to complete the projects on this learning journey.
Throughout this journey, you'll have the opportunity to create applications using: OpenAI and IBM Watson. With hands-on learning, you'll discover how to integrate technology like Text-to-Speech, Speech-to-Text, and Natural Language Process (NLP) into your own applications.
Courses in this learning plan
1. Create a Voice Assistant with OpenAI's GPT-3 and IBM Watson
2. Build a Brand Sentiment Analysis Extension for Twitter
3. Improve Customer Support with AI-Powered Services
4. How do people feel about a product? Use AI to get the answer
After completing Enhancing Applications with Embeddable AI, you should be able to:
Understand the basics of chatbots and their various applications
Set up a development environment for building a chatbot using Python, Flask, HTML, CSS, and Javascript
Implement IBM Watson Speech-to-Text functionality to allow the chatbot to understand voice input from users
Integrate the chatbot with OpenAI's GPT-3 model to give it a high level of intelligence and the ability to understand and respond to user requests
Implement IBM Watson Text-to-Speech functionality to allow the chatbot to communicate with users through voice output
Integrate all of the above components to create a functioning chatbot that can take voice input and provide a spoken response
