Free
Course

Using OpenAI APIs: Exploring APIs with the OpenAI Playground

Explore GPT models in the OpenAI Playground. Experiment with parameters to fine-tune responses and learn how to utilize multiple APIs, including chat completions and assistant APIs.

  • Skill level

    Beginner
  • Time to complete

    Approx. 2 hours
  • Certificate of completion

    Yes
  • Prerequisites

    None

About this course

The OpenAI Playground is a dynamic and user-friendly platform that allows individuals to engage with OpenAI's cutting-edge language models, such as GPT-3.5 and GPT-4. The Playground enables users to experiment with natural language processing (NLP) capabilities and parameters to tweak the responses of models. You will start this course by exploring the fundamentals of OpenAI models. Next, you will log into the OpenAI Playground and input basic prompts, observing the responses. You will work with multiple application programming interfaces (APIs), including the recommended chat completions API and the legacy completions API, all of which are accessible via the playground. Finally, you will work with the Assistants API which has access to tools for data retrieval, code interpretation, and function calling and can leverage these to respond to user queries. You will utilize the code interpreter to read and visualize CSV data, generating Python code for charts using libraries like Matplotlib and Seaborn.

Learning objectives

  • Discover the key concepts covered in this course
  • Provide an overview of generative artificial intelligence (ai) and large language models (llms)
  • Provide an overview of chatgpt and the openai playground
Meet the creator of the course
Janani Ravi
Software engineer and big data expert
Janani Ravi has a master’s degree from Stanford and is a certified Google Cloud Architect and Data Engineer. She has worked for large technology companies, such as Google, Microsoft, and Flipkart. In fact, Janani was one of the original engineers for Google Docs and holds four patents related to its real-time collaborative editing framework. After spending years as a senior software engineer, Janani decided to combine her love for technology with her passion for teaching. She co-founded Loonycorn, a studio for high-quality technical video content, and has authored a vast array of Skillsoft courses.

How it works

Expert-led videos

In this course, you'll watch videos created by industry-leading experts for some of the biggest tech companies in the world. They'll cover key concepts, go through sample applications, prepare you for industry certifications, and more. Watch on any device — whenever and wherever you want — to learn at your own pace.

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6 In-Demand AI Skills & How to Learn Them

Cory Stieg
May 21, 2024

Hiring tech pros with AI skills is more difficult than any other area of tech. Simply put, the growing demand for AI experts outweighs the supply — organizations are eager to incorporate AI into their businesses, but there’s a limited pool of AI talent to choose from. In fact, in Skillsoft’s IT Skills and Salary Report 2023, 30% of IT decision-makers report having the most difficulty hiring qualified AI professionals.

So, what gives? Tech teams and job seekers are certainly up for the challenge of learning new skills. But keeping pace with rapidly changing AI technology and discerning which skills are worth investing in can be difficult for individuals. The good news: Learning in-demand AI skills can boost your earning potential and help you stand out in the job market.

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  • Portfolio projects

    Create professional projects you can share with recruiters to showcase your skills and experience.
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    Evaluate how well you meet the requirements for any job description based on your skills and experience.
  • Certificate of completion

    Earn a document you can share with your network to prove that you’ve completed this course.