Claude API for Python Developers
Published by Pearson
Easily deploy Claude Sonnet, Haiku, and Opus in your Python applications
- Learn how to use Anthropic's API in your applications.
- Understand how the architecture of Claude impacts its performance.
- Explore practical examples of leveraging Claude in production.
Anthropic has quickly become one of the leaders in generative AI foundation models. Anthropic’s Claude family of models (Haiku, Sonnet, and Opus) have proven to be able to process various visual formats, a high degree of accuracy, generate high-quality code all while keeping hallucinations under control.
In this course, we will introduce the main concepts behind this class of models and how their functionality is made accessible through the Anthropic API. We will build example applications to illustrate the use of each of these tools and how they can be composed and highlight when to use each model to obtain high-quality outputs at the lowest cost.
What you’ll learn and how you can apply it
- Understand the structure of Anthropic’s API
- How to choose the correct model for each application
- Apply Claude models to your own content
- Use Anthropic’s LLMs to generate and understand code automatically
- Leverage Claude for vision and Retrieval Augmented Generation
This live event is for you because...
- You’re interested in getting up to speed with the latest state-of-the-art generative models provided by Anthropic and learning how to leverage them in their own applications
- You’re a software engineer or programmer
- You’re proficient with the Python programming language and interacting with APIs
- You’re looking for practical applications to get up and running with the Claude API as quickly as possible
Prerequisites
- Basic Python
- Numpy
- Matplotlib
- Jupyter
Course Set-up
- Python
- Pandas
- Maplotlib
- Jupyter
- Anthropic
Recommended Preparation
- Watch: Natural Language Processing, 3rd Edition, by Bruno Gonçalves
Recommended Follow-up
- Attend: LangChain for Generative AI Pipelines by Bruno Gonçalves
- Attend: Generative Artificial Intelligence with the OpenAI API for Developers by Bruno Gonçalves
- Attend: Chat GPT and Competing LLMs by Bruno Gonçalves
- Attend: LLMs for Data Science by Bruno Gonçalves
Schedule
The time frames are only estimates and may vary according to how the class is progressing.
Segment 1: Generative AI and Anthropic (45 minutes)
- Basic Principles
- Transformers
- Large Language Models
- Temperature
- Hallucinations
- Image Models
- API Structure
Q&A (5 minutes)
Break (10 minutes)
Segment 2: Claude Models (45 minutes)
- Basic Usage
- Input Formatting
- Multi-Step Prompts
- Document Summarization
Q&A (5 minutes)
Break (10 minutes)
Segment 3: Embeddings (30 minutes)
- Understanding Embeddings
- Questing Answering
- Recommendations
- Long Texts
Q&A (5 minutes)
Segment 4: Tools (30 minutes)
- Tool Overview
- Structured Outputs
- Choosing the Right Tool
- Workflow
Q&A (5 minutes)
Break (10 minutes)
Segment 5: Code Generation and Explanation (30 minutes)
- Generating Code from a Prompt
- Explaining Existing Code
- Generating Comments
Q&A and Wrap Up (10 minutes)
Your Instructor
Bruno Gonçalves
Bruno Gonçalves is an author, public speaker, corporate trainer, and consultant specializing in Generative AI, Blockchain Analytics, and Machine Learning. He has a diverse background that spans academia and industry, having previously served as a Data Science fellow at NYU's Center for Data Science while on leave from his tenured faculty position at Aix-Marseille Université. Bruno earned his PhD in the Physics of Complex Systems in 2008. He later focused his research on applying Data Science and Machine Learning to the large-scale analysis of online human behavior.
Skills covered
- Claude
- Python