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OpenAI & ChatGPT API's: Expert Fine-tuning for Developers (Udemy.com)

API, ChatGPT, Prompt Engineering, Finetuning, OpenAI, Integrate ChatGPT, Business AI, Generative AI, Chat GPT 4

Created by: E SKILLIFY

Last updated August 2025

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What you will learn

  • Understand key concepts of fine-tuning pre-trained models.
  • Learn to determine if fine-tuning is appropriate for a specific problem.
  • Identify types of pre-trained models and their strengths and weaknesses.
  • Prepare data for fine-tuning with tokenization and encoding.
  • Fine-tune a pre-trained model for a specific NLP application

How it compares

Against the other 461 rated Udemy courses in Data Science on CourseDuck:

  • Rating4.5 out of 5higher than 46% of them
  • Reviews3,248#69 of 462 by number of reviews
  • Length2 hoursshorter than 89% of them
  • Last updatedAugust 2025earlier than 53% of them

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Course Description

In this course, you will discover the power of GPT-3 in creating conversational AI solutions.

We will start with an introduction to chatbots and their use cases, and then dive deep into GPT-3 and its capabilities. You will learn how to fine-tune the model for specific tasks, such as customer service, lead generation, or entertainment. We will cover techniques for improving the accuracy and fluency of the chatbot's responses, as well as strategies for handling user input and managing conversation flow.

Next, we will explore different ways to integrate GPT-3 chatbots with various platforms and channels, such as messaging apps, voice assistants, and social media. You will learn how to use APIs and SDKs to connect your chatbot to these platforms and leverage their features, such as natural language processing, voice recognition, or rich media support. We will also cover best practices for designing chatbot user interfaces and testing and deploying your chatbot in production.

By the end of this course, you will have a solid understanding of how GPT-3 works and how to use it to build powerful and engaging chatbots for your business or personal projects. You will have hands-on experience with fine-tuning GPT-3 models and integrating them with various platforms and channels, and you will be ready to apply these skills in real-world scenarios.

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Instructor Details

E SKILLIFY

'E SKILLIFY' Company for Robotics and Artificial Intelligence was founded to develop and provide content in the field of training courses in robotics and artificial intelligence for all ages, with the aim of being the most distinguished reference in the field of robotics and artificial intelligence. We believe in the importance of robotics and AI in keeping up with technological progress, and we develop our curricula to contribute, even if in a small way, to enriching the content in the field of robotics and artificial intelligence."

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Reviews

4.5

3,248 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Vishalkumar Kahar on 9/17/2025

Excellent course! It explains API, ChatGPT, Prompt Engineering, FineTuning and Generative AI in a clear and practical way. The lessons are well-structured, easy to follow and show how to apply ChatGPT 4 and Business AI in Real projects. Highly recommended!

By Anonymized User on 3/31/2025

This course is very informative and well orginised I like it vey much. However, I still have some questions to be asnswered, therefore I will keep learning and I may try more courses in the area before I say I have a good understanding in Fine tune or taining a gen AI model.

By UGUR GELEC on 2/25/2025

I watched 2 other courses about the topic and either they only talked about concept or or directly wrote the code while talking about concept of gen ai without explaining what the code do. those courses around 7-8 hours and after watching this just in 2 hours I learned much more than I learned from those

By Christian Kolb on 4/13/2024

Ich habe viel gelernt und konnte auch alles umsetzen. Zeitweise wurde es etwas schnell erklärt und nicht immer strukturiert. Die aktuelle Vorgehensweise des Fine-Tuning für Chat-GPT-3.5.-Turbo wurde erst am Ende des Kurses erklärt.

By Chris Mann on 11/29/2023

Somewhat dry but also full of good data preparation techniques that are different than the ML ones I had learned already. One of the few tutorials I've seen so far for generating code via prompt engineering.

By Olivier Victor on 11/5/2023

You should spend less time reading what you are typing and more time explaining why you are doing what you are doing. There is no high-level explanation, just a series of tasks, usually loosely related. This course taught me very little.

By Murali Miryala on 11/3/2023

I thoroughly enjoyed the chatbot course. The content was well-structured, the instructor was excellent, and the practical exercises were valuable. The balance between theory and application was just right. The course materials were comprehensive. I feel more confident in chatbot development now and highly recommend this course.

By Jean-Seb on 9/23/2023

Nice training about using the api part of openai. I like the different glimpses given by Mariame about her stack and way to bypass all the complexity and going straight to practice. Great training. I expect to have more content from you.

By Yugo Sato on 7/25/2023

Her course, which delves into the subject of OpenAI's fine-tuning, has sparked my curiosity. I've managed to get many valuable insights from her teachings, and I've found that I can immediately apply this knowledge!!

By Giovanni Poidomani on 7/12/2023

I wanted to listen to all the lessons first and the course responds perfectly to my expectations. It is an example of how a course must be to be complete, understandable in every part and with the right examples.

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Overall Score : 90 / 100