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Building Intelligent Applications with ChatGPT

From prompts, questions, and sentiments, everything you wanted to learn about ChatGPT
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Duration

5 Days

Level

Intermediate Level

Design and Tailor this course

As per your team needs

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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.

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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.

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  • Overview of ChatGPT and its capabilities
  • Installing and setting up the environment
  • Generating text using ChatGPT
  • Understand the fine-tuning concepts using ChatGPT for a specific task
  • Overview of chatbot architecture
  • Designing a conversation flow
  • Training the chatbot using ChatGPT
  • Deploying the sample chatbot
  • Overview of question answering systems
  • Collecting and preprocessing data
  • Fine-tuning ChatGPT for question answering
  • Evaluating the performance of the system
  • Overview of sentiment analysis
  • Preprocessing text for sentiment analysis
  • Training ChatGPT for sentiment analysis
  • Evaluating the performance of the system
  • 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
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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.

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