25% Off ChatGPT and LangChain: The Complete Developer's Masterclass | Udemy Review & Coupon

There will be an intensive masterclass on ChatGPT, LangChain, and Python. Develop applications that are ready for production and emphasize the integration of AI in real-world scenarios.

This course covers:

This course is packed with useful information to help you gain a comprehensive understanding of the subject. It includes 12 hours' worth of on-demand videos that can be accessed on-the-go via mobile or television device as well as 11 articles and 67 downloadable resources that are available 24/7. Learners can also benefit from full lifetime access to the materials that this course offers. Upon completion, everyone is awarded a certificate of completion to showcase their success in the program.

This makes the learning experience much more efficient and enjoyable since each component serves its purpose in helping individuals gain meaningful insight into the topic. There is no rush to finish since they have lifetime access which helps them pace themselves so they can fully digest all of the information provided in this course. In addition, having access to videos, articles, and resources allows for diverse readable content which encourages further exploration within the particular subject matter.

What you'll learn

ChatGPT is a revolutionary text-generation framework that allows users to produce high-quality and natural-sounding output. With the help of LangChain, users can now integrate ChatGPT into production-style applications with distributed natural language processing components. By combining the components of LangChain, developers are able to easily construct complex text generation pipelines with greater accuracy and flexibility in designing chatbots.

With the capacity to automatically integrate user feedback into its outputs, ChatGPT also allows for more efficient human-machine interaction. Retrieval Augmented Generation lets users teach ChatGPT new facts used to personalize its reply, making it even more intelligent. In addition, LangChain has developed an extension that enables seamless server-to-browser streaming of text generated within browsers for real time interaction scenarios. OpenAI Plugins provide another layer of added functionality to ChatGPT, such as direct access to relational databases or program code execution – perfect for all types of chatbot applications!

About Instructor

Stephen Grider has experience building complex Javascript front ends for top corporations in the San Francisco Bay Area. Stephen has been mentoring engineers in software development for years and has authored a highly rated React course on Udemy, leveraging his ability to simplify complex topics. He teaches on Udemy in order to share the knowledge he has acquired with other software engineers. One can enhance their knowledge and skills by taking advantage of Stephen's published courses.

Description

ChatGPT is a revolutionary tool for software engineers that enables them to build more complex AI-enabled applications than ever before. By leveraging machine learning technology, ChatGPT can generate realistic human-like text, making it easier to create large scale projects and applications. Thousands of engineers have already used this tool to develop new and innovative applications with the help of ChatGPT’s natural language abilities.

This course is a comprehensive guide on understanding how ChatGPT works and how companies are utilizing it in their applications today. It uses a battle-tested method designed to ensure students understand the goals and objectives behind ChatGPT implementation while also giving concrete examples on using this powerful tool. Learning this material will bring users one step closer to becoming experienced software engineers who can confidently take on challenging app development tasks based on advanced AI technology.

This course is intended for:

This course is designed specifically for software engineers who are looking to add AI into their apps. It will help experienced developers discover different methods for implementing and integrating artificial intelligence into their applications. The course introduces learners to the newest, most promising AI tools and techniques available today, as well as how to best apply them in practice.

The course will cover topics such as using natural language processing or neural networks to create predictions and context-aware applications, how to recognize patterns using recognized algorithms, and how to use Markov chains to produce meaningful recommendations. Additionally, it will discuss the basics of supervised learning, how to build sentiment analysis models and apply them in real-world applications. Throughout the classes, students will learn practical strategies for implementing smart user interfaces for applications powered by AI plus techniques that can be used to identify insights from data that could inform product design decisions.