From creating lifelike images to assisting creative writing, Generative AI is transforming what machines can accomplish. With the increasing demand for skilled talent in this space, it is especially important to stay up-to-date with the latest knowledge and capabilities related to generative AI.
That’s why we’ve put together a handful of curated courses focused on keeping you up to date on everything you need to know about generative AI. Our comprehensive selection accommodates both entry-level participants and experienced practitioners who want to explore the artistic possibilities and practical applications of generative AI technology.
Dive deep into the realm of generative AI and embark on an inspiring educational experience that will equip you with the ability to create, innovate, and influence the future. |
Brought to you by the Association of Data Scientists, the leading global association in the field of AI and data science, this comprehensive course is ideal for those who want to learn generative AI from basic concepts to advanced techniques. The course begins with an exploration of the fundamentals of generative AI and progresses to practical implementations of popular models such as GPT, Stable Diffusion, and DALL.E. Filled with informative reading material, video tutorials, and hands-on Python implementations, the course provides a comprehensive learning experience, giving learners the knowledge and skills they need to build a strong foundation for generative AI. provide skills.
This is another very useful course published by The Association of Data Scientists that focuses on harnessing the power of generative AI in a variety of business problems. Starting by covering the most important and relevant business use cases, the course also covered how to integrate OpenAI APIs to build AI-powered generative applications.
This 1 hour course is featured by deeplearning.ai and presented by Isa Fulford and Andrew Ng. Describes how to automate workflows using chained calls to language models. Learn to enhance development capabilities, create prompt chains, build systems using Python code, and build customer service chatbots. This course applies these skills to real-world scenarios.
Another useful course from deeplearning.ai delves deeper into the world of diffusion-based generative AI and learns how to build your own diffusion model from scratch. You will be able to understand the diffusion process and underlying models. This course helps you develop practical coding skills through hands-on labs on building neural networks for sampling, training diffusion models, and noise prediction. Led by Sharon Zhou, this her hour-long course expands the capabilities of generative AI and equips you with the knowledge to build, train, and optimize diffusion models.
Google Cloud has released this learning path consisting of a package of 10 courses. This learning path leads you to a pathway of expert-selected resources exploring generative AI products and technologies. It covers everything from the basics of large language models to the practical aspects of developing and implementing generative AI solutions on the Google Cloud platform. Professionals with limitations or restrictions in their use of Google Cloud may find certain restrictions in this course.
Focusing on large scale language models, this course published by Databricks is available on edX. This course is specifically designed for practitioners looking to build LLM-centric applications using state-of-the-art frameworks. In this course, you’ll find Hugging Faces for NLP problem solving, LangChain for complex tasks, Prompt Engineering, Data Embedding, and Vector Databases. Enhance your LLM pipeline, fine-tune your models with domain-specific data, assess social and ethical impact, and deploy at scale with LLMOps.
This comprehensive masterclass on GPT, DALL-E and ChatGPT is taught by Raymond Davey and is available on Coursera. This course enables developers, data scientists, and hobbyists to leverage the accessible AI capabilities of his OpenAI. In this course you will learn about prompt engineering, API integration, CodeX, DALL-E, tweaking, embedding and creating chatbots. The course also provides hands-on skills with detailed explanations, code examples, and prompts. Become a master of transformative technologies for GPT and OpenAI.
This course explores the advances and possibilities of generative artificial intelligence. From different application areas to effective implementation, project ideas and practical starting points are detailed. It helps you discover existing generative AI models, related coding aspects, and architectural concepts. In addition, the course will cover ethical considerations and precautions taken by businesses and governments.
In this course package, you’ll find an exceptional journey exploring the world of generative AI through Python. It covers text, images, code generation, and highlights OpenAI’s powerful API. Each course in this package helps learners build practical skills and is completed as a real portfolio-ready project. Learn to create engaging recommendation systems, build intelligent chatbots using GPT, and learn to generate and manipulate images using Dall-E and PIL (Python Imaging Library).
This comprehensive course will prepare you to integrate amazing AI capabilities into your applications using the OpenAI API. Get proficient in leveraging the Dall-E, GPT-4, and ChatGPT APIs and master the art of fine-tuning models using your own data. Explore idea generation, image creation, and chatbot development through hands-on projects such as MoviePitch and KnowItAll. Improve your AI skills and unlock the potential of OpenAI’s cutting-edge technology.
The Top 10 Generative AI courses offered above offer individuals of all backgrounds the opportunity to acquire the skills and knowledge to take advantage of this breakthrough technology. Whether for artistic exploration or practical application, these courses offer a customized learning experience. Embrace generative AI to blaze new trails and shape the future.
