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5 free ChatGPT and generative AI courses

June 4, 2023No Comments


In the realm of technology, becoming proficient in the use of the latest generation of generators artificial intelligence (AI) tools has quickly become essential. These tools, like ChatGPT or Bard, have proven to be fun and have the ability to really help us in a variety of 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 for honing your skills and staying ahead of this transformative technology.

One can enhance their knowledge and ability to use the power of generative AI to its full potential by exploring these instructional materials, making sure to take full advantage of these innovative capabilities.

ChatGPT Prompt Engineering for Developers

One will discover how to use large language models (LLM) to quickly build effective applications in the courseโ€ChatGPT Prompt Engineering for Developersโ€ Taught by Andrew Ng and Isa Fulford. Users can now build capabilities that were too expensive, too complicated, or perhaps impossible by using the OpenAI API.

This course includes best practices for rapid engineering, information on how LLMs work, and examples of how to use LLM APIs for various tasks. Some of these tasks are summarizing user reviews, determining sentiment, identifying themes, translating or grammar-checking text, and expanding material through automated email production.

The course focuses on two essential principles for writing strong prompts and guides you through methodical prompt engineering. You will also have the opportunity to create a unique chatbot. You'll learn useful skills in timely engineering with the help of various examples and a Jupyter Notebook environment for hands-on experience.

Delivered in collaboration with OpenAI, this training is intended to provide developers with the knowledge and skills they need to use LLMs effectively. This course is right for you, regardless of your level of Python proficiency or interest in exploring cutting-edge indicator engineering and LLM usage.

LangChain for LLM application development

Sign up for the courseLangChain for LLM application developmentโ€ to learn vital skills to improve the functionality of language models in application development using the LangChain framework. In this course, users will learn how to convene LLMs, write prompts, parse responses, use memory for conversations, create sequences of operations, implement document questions and answers, and explore the evolution of LLMs as reasoning agents.

Participants will have a model at the end of the course that can be used as a starting point for further research and development of diffusion model applications. Taught by Andrew Ng and LangChain co-founder Harrison Chase, this one-hour workshop equips participants to quickly build trusted applications. The course is suitable for beginners; however, some familiarity with Python is helpful.

Related: 5 free artificial intelligence courses and certifications

How Diffusion Models Work

Participants who want to create dissemination models from scratch should take the โ€œHow Diffusion Models Work" course. This intermediate level course offers an in-depth understanding of the models used in the diffusion process. Participants will learn to build their own diffusion model and gain useful coding skills.

During the course, the participants:

  • Develop your own diffusion model while exploring the field of diffusion-based generative AI.
  • Beyond APIs and pre-built solutions, gain a deep understanding of the diffusion process and underlying models.
  • Through sampling labs, training diffusion models, building neural networks for noise prediction, and incorporating context for custom image generation, one can gain hands-on coding skills.
  • Finish the course with a model that can serve as a starting point for further exploration of diffusion models in your own applications.

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

Building systems with the ChatGPT API

He "Building systems with the ChatGPT APIThe course will teach participants how to automate intricate workflows by making a series of calls to a powerful language model. This short course improves development skills and increases productivity. Individuals:

  • Create a series of prompts that respond to previous terminations.
  • Create technologies that allow Python programs to communicate with new prompts and completions.
  • Apply the principles taught in the course to create a chatbot for customer service.
  • Use these skills in real-world situations, including user query classification, security evaluation, and multi-step reasoning.

This one-hour session, taught by Ng from DeepLearning.AI and Fulford from OpenAI, expands on "ChatGPT Rapid Engineering for Developers" (not a prerequisite). Jupyter Notebooks and practical examples make it easy to understand and explore the course material.

Collaboration within the OpenAI community ensures current best practices for optimal performance and responsible use. The course is appropriate for those with a basic familiarity with Piton as well as for intermediate and advanced level machine learning engineers looking for fast, cutting-edge engineering skills for language models.

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

Introduction to ChatGPT

Join DataCamp's "Introduction to ChatGPT" course to gain the necessary knowledge for an effective and responsible use of ChatGPT. This course covers the capabilities and restrictions of ChatGPT and is appropriate for users of all levels. One can discover new integration opportunities, business use cases, and ChatGPT suggestions for 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 subscription to DataCamp. By the end of the course, participants can feel confident applying ChatGPT in various situations, improving their speed and efficiency in a wide range of tasks.