Integrate and Evaluate LLMs with OpenAI and Hugging Face
Learn to integrate large language models into applications using APIs, prompt engineering, and evaluation metrics for AI systems.
Skill level
IntermediateTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary3 hoursProjects
2Prerequisites
2 coursesWe suggest you complete the following courses before you get started with Integrate and Evaluate LLMs with OpenAI and Hugging Face:- Intro to PyTorch and Neural Networks
- Intermediate Python 3
About this skill path
Working with large language models requires more than understanding the technology—it demands practical skills in integration, optimization, and evaluation. In this course, you’ll learn how to use APIs to connect LLMs to real-world applications, craft effective prompts that generate reliable outputs, and measure model performance using industry-standard metrics. You’ll gain hands-on experience with the OpenAI API, managing conversation context, and applying both AI-specific metrics like perplexity, BLEU, and ROUGE alongside traditional machine learning evaluation techniques. By the end, you’ll be equipped to build, deploy, and assess LLM-powered systems with confidence.
Skills you'll gain
- Understand what APIs are and use them to integrate LLMs into applications
- Create reliable output from LLMs through effective prompt engineering
- Send chat requests using the OpenAI API and manage conversation context
Syllabus
5 units • 4 lessons • 2 projects • 4 quizzes- 1
Welcome to the Integrate and Evaluate LLMs Skill Path
Welcome to the Integrate and Evaluate LLMs with OpenAI and Hugging Face Skill Path!
- 2
Intro to OpenAI API
Leverage the OpenAI API within your Python code. Learn to import OpenAI modules, use chat completion methods, and craft effective prompts.
- 3
OpenAI API Coding with Python
Leverage the OpenAI API within your Python code. Learn to import OpenAI modules, use chat completion methods, and craft effective prompts.
- 4
Benchmarking LLMs
Learn how to integrate large language models using APIs, engineer effective prompts for reliable outputs, and evaluate LLM performance.
- 5
Integrate and Evaluate LLMs Skill Path Next Steps
Integrate and Evaluate LLMs Next Steps!
Certificate of completion available with Plus or Pro
Earn a certificate of completion and showcase your accomplishment on your resume or LinkedIn.
Projects in this skill path
- practice Project
OpenAI Python API: Recipe Blog
Create an AI-powered recipe creation application using Python and the OpenAI API. Customize the recipe to offer personalized cooking suggestions based on user preferences, dietary restrictions, and ingredient availability. - practice Project
Benchmarking LLMs on Multiple NLP Tasks
In this project, you will evaluate DistilBERT on multiple NLP tasks, including sentiment analysis and question answering, using benchmark datasets.
Earn a certificate of completion
Show your network you've done the work by earning a certificate of completion for each course or path you finish.- Show proofReceive a certificate that demonstrates you've completed a course or path.
- Build a collectionThe more courses and paths you complete, the more certificates you collect.
- Share with your networkEasily add certificates of completion to your LinkedIn profile to share your accomplishments.
Reviews from learners
- The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.ChrisCodecademy Learner @ USA
- I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.RodrigoCodecademy Learner @ UK
- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA
Our learners work at
Skill paths help you level-up
Get a specialized skill
Want to level up at work? Gain a practical, real-world skill that you can use right away to stand out at your job.Get step-by-step guidance
We guide you through exactly where to start and what to learn next to build a new skill.Get there quickly
We’ve hand-picked the content in each Skill Path to fast-track your journey and help you gain a new skill in just a few months.
Ready to learn a new skill?
Get started on Integrate and Evaluate LLMs with OpenAI and Hugging Face with a free Codecademy account.StartLooking for something else?
Related resources
- Article
Getting Started with OpenAI Models
Learn how to use an OpenAI model and fine-tune it tailoring it to better fit tasks or topics. - Article
LLM Evaluation: Metrics, Benchmarks & Best Practices
Complete guide to LLM evaluation metrics, benchmarks, and best practices. Learn about BLEU, ROUGE, GLUE, SuperGLUE, and other evaluation frameworks. - Article
How to Create and Use an OpenAI ChatGPT API Key
Learn what an API key is and how to create your OpenAI ChatGPT API key with this step-by-step guide, which includes code examples and security tips.
Related courses and paths
- Explore OpenAI’s API and learn how to write more effective generative AI prompts that help improve your results.
- Beginner Friendly.< 1 hour
- Leverage the OpenAI API within your Python code. Learn to import OpenAI modules, use chat completion methods, and craft effective prompts.
- With Certificate
- Intermediate.1 hour
- Leverage the OpenAI API within your JavaScript code. Learn to customize prompts and hyperparameters for optimal output.
- With Certificate
- Intermediate.1 hour
Browse more topics
- Python4,353,021 learners enrolled
- AI2,602,392 learners enrolled
- Data science5,378,632 learners enrolled
- Machine learning819,962 learners enrolled
- Code foundations8,600,265 learners enrolled
- Computer science7,096,715 learners enrolled
- Web development5,775,423 learners enrolled
- For business4,152,231 learners enrolled
- Data analytics3,257,770 learners enrolled
What's included in skill paths
Practice Projects
Guided projects that help you solidify the skills and concepts you're learning.Assessments
Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.Certificate of Completion
Earn a document to prove you've completed a course or path that you can share with your network.







