This course is designed to help Python developers learn how to build intelligent applications using ChatGPT, a large language model trained by OpenAI, based on the GPT-3 architecture. Through a series of hands-on exercises and projects, you’ll learn how to use ChatGPT to create chatbots, automated question answering systems, and other natural language processing applications. By the end of the course, you’ll have the knowledge and skills necessary to build your own intelligent applications using ChatGPT.
This course is ideal for Python developers who want to learn how to build intelligent applications using natural language processing. If you’re interested in building chatbots, question answering systems, or other intelligent applications, this course will provide you with the knowledge and skills necessary to get started.
Putting it all together: Build a real-world project with GPT-3, ChatGTP, GPT-4, DALL-E and Whisper
Deploying the application
Best practices and future directions
To get the most out of this course, you should have a solid understanding of Python programming language and experience with natural language processing. Familiarity with deep learning and machine learning concepts will also be beneficial, but not required.
Apache, Apache Kafka, Apache Spark, Apache Trino, Apache Iceberg, Apache Hive, Kafka, Spark, Trino, Iceberg, Hive, and other associated open-source project names are the Apache Software Foundation trademarks. Starburst, Starburst Data, Starburst Enterprise, and Starburst Galaxy are registered trademarks of Starburst Data, Inc. All rights reserved. DataCouch is not affiliated with, endorsed by, or otherwise associated with the Apache Software Foundation (ASF) or any of its projects.
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