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Building Systems with the ChatGPT API

Andrew Ng and Isa Fulford

In Building Systems With The ChatGPT API, you will learn how to automate complex workflows using chain calls to a large language model. Unlock new development capabilities and improve your efficiency in this brand new short course.

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In Building Systems With The ChatGPT API, you will learn how to automate complex workflows using chain calls to a large language model. Unlock new development capabilities and improve your efficiency in this brand new short course.

You’ll build:

1. Chains of prompts that interact with the completions of prior prompts.

2. Systems where Python code interacts with both completions and new prompts.

3. A customer service chatbot using all the techniques from this course.

You’ll learn how to apply these skills to practical scenarios, including classifying user queries to a chat agent’s response, evaluating user queries for safety, and processing tasks for chain-of-thought, multi-step reasoning.

This one-hour course, taught by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI), builds on the lessons taught in the popular ChatGPT Prompt Engineering for Developers, though it is not a prerequisite. Hands-on examples make each concept easy to understand. Built-in Jupyter notebooks allow you to seamlessly experiment with the code and prompts presented in the course.

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What's inside

Syllabus

Project Overview
In Building Systems With The ChatGPT API, you will learn how to automate complex workflows using chain calls to a large language model. Unlock new development capabilities and improve your efficiency in this brand new short course. You’ll build: 1. Chains of prompts that interact with the completions of prior prompts. 2. Systems where Python code interacts with both completions and new prompts. 3. A customer service chatbot using all the techniques from this course.You’ll learn how to apply these skills to practical scenarios, including classifying user queries to a chat agent’s response, evaluating user queries for safety, and processing tasks for chain-of-thought, multi-step reasoning. This one-hour course, taught by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI), builds on the lessons taught in the popular ChatGPT Prompt Engineering for Developers, though it is not a prerequisite. Hands-on examples make each concept easy to understand. Built-in Jupyter notebooks allow you to seamlessly experiment with the code and prompts presented in the course.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops workflows, systems, and a chatbot using the latest and most popular large language model, ChatGPT
Teaches essential skills for automating complex workflows using chain calls to a large language model
Presented by industry experts Isa Fulford of OpenAI and Andrew Ng of DeepLearning.AI
Provides hands-on examples and built-in Jupyter notebooks for seamless experimentation
Builds on lessons taught in the popular ChatGPT Prompt Engineering for Developers course

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Career center

Learners who complete Building Systems with the ChatGPT API will develop knowledge and skills that may be useful to these careers:
Software Engineer
Software Engineers build, maintain, and manage computer software. Courses in prompt engineering build the foundation for roles that require understanding and using code, like this one does. The course you provided an overview of covers prompt engineering for ChatGPT, which allows you to write more effective and natural language prompts. These skills are foundational to managing code and software.
Data Scientist
Data Scientists collect, analyze, interpret, and visualize data. They work to develop insights and make recommendations based on this analysis. The course you provided an overview of builds a foundation in understanding complex data and communicating actionable insights using programming language. These skills can be applied directly to a role as a Data Scientist, who often works with various types of programming language.
Machine Learning Engineer
Machine Learning Engineers design, implement, and maintain machine learning models. They work to develop solutions to complex problems using data. The course you provided an overview of builds a foundation in understanding and using machine learning models, including how to write effective prompts. These skills can be applied directly to a role as a Machine Learning Engineer, who often works with various types of programming language.
Product Manager
Product Managers define the vision and roadmap for a product or service. They work to understand customer needs and translate them into product requirements. The course you provided an overview of builds a foundation in understanding how to communicate effectively with technical and non-technical stakeholders. These skills can be applied directly to the work of a Product Manager.
User Experience Designer
User Experience Designers work to design and improve the user experience of products and services. The course you provided an overview of may be useful in helping to build a foundation in understanding how to create effective user interfaces.
Technical Writer
Technical Writers create documentation and other materials that explain technical concepts to non-technical audiences. The course you provided an overview of may be useful in helping to build a foundation in understanding how to write clear and concise technical documentation.
Data Analyst
Data Analysts collect, analyze, and interpret data to identify trends and patterns. The course you provided an overview of may be useful in helping to build a foundation in understanding how to use data to make informed decisions.
Business Analyst
Business Analysts work to improve the efficiency and effectiveness of business processes. The course you provided an overview of may be useful in helping to build a foundation in understanding how to use data to make informed decisions.
Project Manager
Project Managers plan, execute, and close projects. The course you provided an overview of may be useful in helping to build a foundation in understanding how to manage projects effectively.
Marketing Manager
Marketing Managers develop and execute marketing campaigns to promote products and services. The course you provided an overview of may be useful in helping to build a foundation in understanding how to create effective marketing campaigns.
Sales Manager
Sales Managers lead and motivate sales teams to achieve sales goals. The course you provided an overview of may be useful in helping to build a foundation in understanding how to manage sales teams effectively.
Customer Success Manager
Customer Success Managers work to ensure that customers are satisfied with a company's products and services. The course you provided an overview of may be useful in helping to build a foundation in understanding how to provide excellent customer service.
Technical Support Specialist
Technical Support Specialists provide technical support to customers. The course you provided an overview of may be useful in helping to build a foundation in understanding how to provide excellent technical support.
System Administrator
System Administrators manage and maintain computer systems and networks. The course you provided an overview of may be useful in helping to build a foundation in understanding how to manage computer systems and networks.
Network Administrator
Network Administrators manage and maintain computer networks. The course you provided an overview of may be useful in helping to build a foundation in understanding how to manage computer networks.

Reading list

We've selected 12 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Building Systems with the ChatGPT API.
This classic textbook introduces reinforcement learning concepts and algorithms. It provides a strong theoretical foundation for learners interested in building intelligent systems that can learn from their experiences.
Introduces machine learning from a probabilistic perspective. It provides a rigorous mathematical foundation for understanding the principles and algorithms behind machine learning.
Provides a statistical perspective on machine learning algorithms. It covers topics such as supervised learning, unsupervised learning, and Bayesian inference, providing a strong foundation for understanding the theoretical principles behind machine learning.
Provides a comprehensive overview of machine learning concepts and techniques using popular Python libraries like Scikit-Learn, Keras, and TensorFlow. It good choice for learners looking to enhance their understanding and practical skills in machine learning.
Provides an accessible introduction to deep learning using the Keras library. It popular choice for learners seeking to build a solid foundation in deep learning.
Introduces deep learning concepts and practical applications using the fastai library and PyTorch framework. It provides a hands-on approach to building and deploying deep learning models.
Provides a broad overview of AI concepts and applications. It useful primer for learners looking to understand the basics of AI and its potential impact on various industries.
Provides a comprehensive introduction to machine learning concepts and algorithms using Python. It covers a wide range of topics, making it a suitable choice for learners with varying backgrounds.
Offers a collection of practical recipes and code examples for solving real-world machine learning problems using Python. It serves as a useful reference for learners looking to implement and troubleshoot machine learning algorithms.
Introduces machine learning concepts and algorithms in a clear and accessible way. It is suitable for learners with little or no background in machine learning.
This short and accessible book covers the fundamentals of machine learning in a concise and practical manner. It good starting point for learners who are new to the field.

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