Building Systems with the ChatGPT API from Coursera

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.

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

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Building Systems with the ChatGPT API with these activities:

Review the basics of natural language processing

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Begin by refreshing your foundational knowledge in NLP to strengthen your understanding as you progress through the course.

Browse courses on Natural Language Processing

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Revisit core NLP concepts such as tokenization, stemming, and lemmatization.
Review different types of language models, including statistical and neural models.
Explore fundamental NLP tasks like text classification, sentiment analysis, and named entity recognition.

Practice prompt engineering

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Engage in hands-on practice to refine your prompt engineering skills for effective ChatGPT API utilization.

Browse courses on Prompt Engineering

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Create prompts for different scenarios
Experiment with different prompt formats
Evaluate the quality of responses

Build a simple chatbot

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Apply your knowledge to create a functional chatbot that showcases your ability to integrate ChatGPT API capabilities.

Browse courses on Chatbot Development

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Design the chatbot's functionality
Develop the chatbot using ChatGPT API
Deploy and test the chatbot

Show all three activities

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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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