Build Apps and Fine-Tune LLMs Using the OpenAI API
About this course
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Unlock the power of the OpenAI API to build powerful applications and fine-tune large language models (LLMs). By the end of the course, you'll be equipped with the skills to set up your environment, explore the fundamentals of transformers, and create your own intelligent applications. You’ll also dive deep into prompt engineering, sentiment analysis, and even computer vision, using practical examples to reinforce your knowledge. You'll start by setting up your environment and understanding key concepts, such as AI definitions and acronyms, before diving into the OpenAI API itself. The course also walks you through hands-on examples, such as translating articles, summarizing text, and building a chatbot. As you progress, you'll use cutting-edge OpenAI tools, including text-to-speech, image generation, and computer vision APIs to add even more advanced functionalities to your applications. Towards the end, you will fine-tune your models, deploy applications, and ensure ethical AI usage. By the time you finish, you'll be able to build sophisticated AI-powered applications that leverage OpenAI's vast capabilities, with an emphasis on real-world use cases and deployment. This course is ideal for developers, AI enthusiasts, or anyone interested in working with OpenAI’s advanced language models and APIs. Basic programming skills and familiarity with AI concepts will be beneficial, but anyone eager to explore AI’s potential is welcome to join.
81/100
CourseAsk score
- What the provider tells you
- 45/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- Set up and authenticate with the OpenAI API
- Build applications using GPT models for text generation, translation, and summarization
- Implement prompt engineering techniques for better model outputs
- Create chatbots using the OpenAI API
- Use OpenAI's text-to-speech and image generation capabilities
- Apply computer vision APIs to process and analyze images
- Fine-tune large language models for specific applications
- Perform sentiment analysis using language models
- Deploy AI-powered applications
- Apply ethical AI principles when building with language models
Course objectives
- Understand transformer architecture and how large language models work
- Gain hands-on experience building real-world AI applications
- Master the OpenAI API for various use cases from text to vision
- Learn best practices for deploying and maintaining AI-powered applications
Price shown by Coursera — confirm on their site.
Enroll on CourseraYou'll be redirected to Coursera to complete enrollment.
- Listed & compared by CourseAsk
- English · 0
Coursera
Udemy
Compared on these lists
Where this course ranks against the alternatives.