Developing Generative AI Applications with Python and Open AI from Pluralsight

Generative AI is a turning point in human history. Those who leverage LLMs will be more productive, creative, efficient, and will be able to achieve more with less. In this course you will learn how to create generative AI applications with the OpenAI API and Python.

Generative AI is a turning point in human history. Those who leverage LLMs will be more productive, creative, efficient, and will be able to achieve more with less. In this course, Developing Generative AI Applications with Python and OpenAI (ChatGPT), you’ll gain the ability to create generative AI applications. First, you’ll learn about the fundamentals of generative AI models, including their architecture, training processes, and applications. At this point you’ll learn how to write good prompts, which is an extremely valuable skill. Next, you’ll familiarize yourself with the OpenAI API and the available models, third you’ll use the API to generate human-like responses to questions or generate content based on your prompts. Moving forward, you will learn how to create a basic chatbot. Finally, you’ll learn how to train a model using your own data. When you’re finished with this course, you’ll have the skills and knowledge of how to create a generative AI application using the OpenAI API and Python.

What's inside

Syllabus

Course Overview

Introduction to Large Language Models (LLM) and OpenAI

Overview of Generative Pre-trained Transformer (GPT) Models

Getting Started with OpenAI APIs

Mastering Prompt Engineering

Exploring Practical Applications of Working with the OpenAI API

Train your own ChatBot

Future of OpenAI and NLP

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Suitable for beginners who want to develop a solid foundation in using OpenAI's API and generative AI

Provides hands-on practice with OpenAI's API and generative AI models

Covers a wide range of practical applications for generative AI, making it relevant for various industries

Taught by Xavier Morera, an experienced instructor in generative AI and OpenAI's API

Requires some familiarity with Python programming, which may be a barrier for complete beginners

Does not cover advanced topics in generative AI, such as model training from scratch

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 Developing Generative AI Applications with Python and Open AI with these activities:

Review Python

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Brush up on Python skills to ensure readiness for generative AI development.

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Revisit Python syntax and data structures.
Practice solving coding challenges.
Review Python libraries and modules.

Explore OpenAI's GPT-3 API

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Gain hands-on experience with the OpenAI API to implement generative AI solutions.

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Follow official API documentation and tutorials.
Build small projects using the API.

Prompt Engineering Exercises

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Develop proficiency in crafting effective prompts to elicit desired outputs from generative AI models.

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Experiment with different prompt formats and styles.
Analyze successful and unsuccessful prompts.
Practice writing prompts for various tasks.

Eight other activities

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Practice Writing Prompts for Different Scenarios

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Reinforce your prompt engineering skills by practicing writing prompts for various scenarios, expanding your ability to leverage generative AI effectively.

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Identify different scenarios where generative AI can be applied.
Brainstorm and write prompts for each scenario.
Evaluate the effectiveness of your prompts.

Participate in a Peer Code Review

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Engage with peers in a code review session, sharing knowledge and improving your generative AI coding skills through collective feedback.

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Find a peer or group of peers to collaborate with.
Share your generative AI code for review.
Provide feedback on your peers' code.
Incorporate feedback to improve your own code.

Develop a ChatGPT Assistant

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Create a practical application to enhance understanding of generative AI principles.

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Design the user interface and user flow.
Implement GPT-3 integration.
Test and refine the application's functionality.

Participate in Q&A Forums

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Engage in discussions to reinforce understanding and assist fellow learners.

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Answer questions and share insights on online forums.
Review and critique responses to enhance understanding.

Create a Chatbot Prototype

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Apply your knowledge of generative AI to build a basic chatbot, enhancing your understanding of practical applications.

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Design the chatbot's functionality and user interface.
Write code to integrate the OpenAI API with your chatbot.
Test and refine your chatbot's responses.
Deploy your chatbot to a platform or website.

Explore Advanced OpenAI API Features

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Enhance your understanding of the OpenAI API by exploring its advanced features and capabilities, broadening your knowledge of generative AI applications.

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Research and select tutorials on advanced OpenAI API features.
Follow the tutorials and experiment with different API functionalities.
Apply your newfound knowledge to your own projects.

Build a Generative AI Text Summarizer

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Apply generative AI techniques to develop a practical solution for text summarization.

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Design the application's architecture and workflow.
Implement the text summarization model.
Integrate user interface and user experience.
Test and evaluate the application's performance.

Develop a Generative AI Solution for a Real-World Problem

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Challenge yourself by applying your generative AI knowledge to solve a real-world problem, showcasing your ability to leverage this technology for practical impact.

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Identify a real-world problem that can be addressed using generative AI.
Design a generative AI solution to tackle the problem.
Develop and implement your solution.
Evaluate the effectiveness of your solution.

Career center

Learners who complete Developing Generative AI Applications with Python and Open AI will develop knowledge and skills that may be useful to these careers:

Natural Language Processing Engineer

Natural Language Processing Engineers build software that understands how humans communicate with each other. This course is a great on-ramp to a career as a Natural Language Processing Engineer as it deals with how to use AI to analyze and understand natural language.

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Machine Learning Engineer

Machine Learning Engineers build machine learning models that can make predictions about the future. This course is a helpful introduction to this career, as it can teach you how to design, train, and deploy machine learning models.

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Data Analyst

Data Analysts use complex methods to analyze data to help companies make informed decisions. If you wish to pursue a career as a Data Analyst, this course is a great first step. It can teach you how to gather, evaluate, and interpret data, all vital skills for success in this job.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists are responsible for making sense of data. This challenging role combines business knowledge with expertise in computer science to answer complex questions through data analysis. A foundational understanding of machine learning and AI is essential in this field; this course may be useful in building that foundation.

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Data Engineer

Data Engineers are responsible for the design, construction, maintenance, and management of data architectures. This course may be useful for those looking to pursue a career in this field, as it can teach you how to store, process, and analyze large datasets.

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Business Analyst

Business Analysts are responsible for analyzing data to help companies make more effective decisions. This course may be useful for those looking to pursue a career in this field, as it can teach you how to collect, interpret, and present data in a meaningful way.

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Operations Research Analyst

Operations Research Analysts are responsible for using mathematical and analytical methods to solve problems in business. This course may be useful for those looking to pursue a career in this field, as it can teach you how to use data to make better decisions.

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Project Manager

Project Managers are responsible for planning, executing, and delivering projects. This course may be useful for those looking to pursue a career in this field, as it can teach you how to manage resources, set realistic goals, and communicate with stakeholders.

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Market Research Analyst

Market Research Analysts are responsible for gathering and analyzing data about markets and customers. This course may be useful for those looking to pursue a career in this field, as it can teach you how to collect, interpret, and present data in a meaningful way.

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Product Manager

Product Managers are responsible for managing the development of software products. This course may be useful for those looking to pursue a career in this field, as it can teach you how to get products from an initial idea to launch.

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Financial Analyst

Financial Analysts are responsible for providing financial advice to individuals and organizations. This course may be useful for those looking to pursue a career in this field, as it can teach you how to analyze financial data and make sound investment decisions.

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Actuary

Actuaries are responsible for assessing and managing financial risk. This course may be useful for those looking to pursue a career in this field, as it can teach you how to use data to make predictions about the future.

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Software Engineer

Software Engineers are responsible for developing and designing computer programs. This course may be useful for those looking to pursue a career in this field, as it will provide a foundational understanding of how to build and deploy software.

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Quantitative Analyst

Quantitative Analysts provide insight on potential investment opportunities. This course may be useful for those looking to pursue a career in this field, as it can teach you how to use data to make sound financial decisions.

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Information Security Analyst

Information Security Analysts are responsible for protecting computer systems from security breaches. This course may be useful for those looking to pursue a career in this field, as it can teach you how to identify and mitigate security risks.

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