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Developing Generative AI Applications with Python and Open AI

Xavier Morera

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.

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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.

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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
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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

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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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

Reading list

We've selected nine 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 Developing Generative AI Applications with Python and Open AI.
Provides a comprehensive overview of deep learning with Python. It covers the fundamentals of deep learning, the different types of deep learning models, and how to use them for a variety of deep learning tasks.
Provides a comprehensive overview of deep learning for natural language processing. It covers the fundamentals of deep learning for NLP, the different types of deep learning models for NLP, and how to use them for a variety of NLP tasks.
Provides a practical guide to text mining with R. It covers the fundamentals of text mining, the different types of text mining tasks, and how to use them for a variety of text mining applications.
Provides a comprehensive overview of the Natural Language Toolkit (NLTK). It covers the fundamentals of the NLTK, the different modules in the NLTK, and how to use them for a variety of NLP tasks.
Provides a comprehensive overview of speech and language processing. It covers the fundamentals of speech and language processing, the different types of speech and language processing tasks, and how to use them for a variety of speech and language processing applications.
Provides a comprehensive overview of information retrieval. It covers the fundamentals of information retrieval, the different types of information retrieval tasks, and how to use them for a variety of information retrieval applications.
Provides a comprehensive overview of machine translation. It covers the fundamentals of machine translation, the different types of machine translation models, and how to use them for a variety of machine translation tasks.
Provides a comprehensive overview of natural language generation. It covers the fundamentals of natural language generation, the different types of natural language generation models, and how to use them for a variety of natural language generation tasks.
Provides a comprehensive overview of statistical learning. It covers the fundamentals of statistical learning, the different types of statistical learning models, and how to use them for a variety of statistical learning tasks.

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