5 Free ChatGPT & Generative AI Courses

In technology, it has quickly become essential to become proficient in using the latest generation of Generative Artificial Intelligence (AI) tools. These tools like ChatGPT or Bard have proven to be fun and have the potential to really help us in different areas of our lives. To help you embrace this new era of generative AI, here’s a compilation of top-notch courses that can serve as invaluable resources to hone your skills and stay at the forefront of this transformative technology.

Anyone can improve their knowledge and ability to harness the power of Generative AI by exploring these instructional materials, ensuring they make the most of these ground-breaking capabilities.

ChatGPT prompt engineering for developers

The course will explore how to use the Large Language Model (LLM) to quickly build effective apps.ChatGPT prompt engineering for developersTaught by Andrew Ng and Isa Fulford. Users can now create capabilities using the OpenAI API that were either too expensive, too complex, or perhaps impossible.

This course covers best practices for accelerated engineering, how LLM works, and examples of using the LLM API for a variety of tasks. Summarizing user ratings, determining sentiment, identifying topics, translating or fixing grammar in text, and expanding content by automatically building emails are some of these functions.

The course focuses on two essential principles for writing strong signals and walks you through systematic prompt engineering. You will also have the opportunity to create a unique chatbot. You will learn useful skills in engineering over time with the help of various examples and Jupyter notebook environment for hands-on experience.

This training, which is being provided in collaboration with OpenAI, is intended to give developers the knowledge and capabilities they need to effectively use the LL.M. This course is right for you regardless of your Python proficiency level or your interest in exploring cutting edge engineering and LL.M. usage.

LLM Langchain for Application Development

Enroll in the course »LLM Langchain for Application DevelopmentLearning key capabilities to extend the functionality of the language model in application development using the LangChain framework. In this course, users will learn how to summon LLM, write prompts, parse responses, use memory for conversation, create operation sequences, apply question-answers to documents, and explore the development of LLM as a reasoning agent.

Participants will have a model by the end of the course that can be used as a starting point for further research and dissemination model application development. This hour-long workshop, taught by Andrew Ng and Langchain co-founder Harrison Chase, prepares participants to build trusted applications quickly. The course is suitable for beginners; However, having some familiarity with Python is helpful.

Related: 5 Free Artificial Intelligence Courses & Certifications

How Diffusion Models Work

Participants who want to build a diffusion model from scratch shouldHow Diffusion Models Work” Duration. This intermediate-level course provides an in-depth understanding of the models used in the diffusion process. Participants will learn to build their own diffusion models and acquire useful coding skills.

1/ Thrilled to announce: 3 new Generative AI courses!
* Building system with ChatGPT API with OpenAI @isafulf
* LangChain for LLM Application Development with LangChain @hwchase17
* How Diffusion Models Work, by @realSharonZhou
check them out: pic.twitter.com/85BP6YbmmZ

— Andrew Ng (@AndrewYNg) May 31, 2023

During the course, participants:

• Develop your own diffusion model exploring the field of diffusion-based generative AI.
• Gain a deeper understanding of the dissemination process and underlying models, beyond pre-built solutions and APIs.
• Through labs on samples, training diffusion models, building neural networks for noise prediction, and incorporating context for personalized image generation, practical coding skills can be gained.
• End the course with a model that can serve as a starting point for further exploration of diffusion models in their own applications.

The session, led by Sharon Zhou, lasts one hour and focuses on building, refining, and optimizing diffusion models to enhance participants’ generative AI capabilities. Participants can easily understand and expand on the concepts provided through practical examples and the use of the built-in Jupyter Notebook.

Building System with ChatGPT API

,Building System with ChatGPT APIThe course will teach participants how to automate complex workflows by making a series of calls to a powerful language model. This short course improves development skills and increases productivity. Person will:

• Create a chain of signals that respond to the completion of the first.
• Create technologies that allow Python programs to communicate with new prompts and completions.
• Apply the principles taught in the course to build a chatbot for customer support.
• Use these capabilities in real-world situations including user query classification, security evaluation, and multi-step reasoning.

This one-hour session, taught by DeepLearning.ai’s Ng and OpenAI’s Fulford, expands on “Engineering the ChatGPT Prompt for Developers” (not a prerequisite). Jupyter notebooks and hands-on examples make it easy to understand and explore course material.

Collaboration within the OpenAI community guarantees current best practices for optimal performance and responsible use. The course is suitable for those looking for cutting-edge, accelerated engineering skills with Python as well as intermediate and advanced ML engineers to model the language.

RELATED: 5 Real-World Applications of Natural Language Processing (NLP)

Introduction to ChatGPT

Join the “Introduction to ChatGPT” course by DataCamp Get Knowledge required for effective and responsible use of ChatGPT. This course covers the capabilities and limitations of ChatGPT and is suitable for users of all skill levels. One can search ChatGPT suggestions for new integration opportunities, business use cases and best practices.

The course is divided into two modules: “Interacting with ChatGPT”, which is available for free, and “Adopting ChatGPT”, which is available for purchase or through a Datacamp subscription. By the end of the course, participants should feel confident in applying ChatGPT in a variety of situations, increasing their speed and efficiency across a wide range of tasks.