Introduction
Generative AI is a rapidly growing AI field with applications in a wide range of industries, from healthcare to entertainment. It offers unparalleled capabilities to unlock valuable insights, automate processes, and generate personalized experiences that drive business growth.
Groundbreaking advancements in Generative AI, particularly through OpenAI, have revolutionized industries, compelling businesses and organizations to acquire this technology with excitement and haste.
This rapid adoption, having been significantly stirred by the success ChatGPT, Midjourney, Stable Diffusion and Bard, has fueled an endless profusion of training courses at all levels of expertise. Many are aimed at helping developers create AI applications while others are focussed on business users.
So definitely there are a great many courses available. Here in this article we discuss a few of them.
Generative AI Courses
Class Central: This is a repository of courses from various universities and institutions, as well as other, more than 80 providers. There are about more than 2,700 free courses and 1,900 paid courses with certificates upon completion. This is a good place to start to know more applications such as ChatGPT, Midjourney and Stable Diffusion.
Coursera: This platform provides you with training for free or for a small fee. The attained certificates you get can be shared on your LinkedIn profile. Some popular courses here are Large Language Models, Prompt Engineering, Advanced Data Analysis and GenAI for Everyone.
EdX: This platform is one of the popular favorites. It provides learning at various levels of familiarity. Its USP is that there is also a short term free audit option available. Material covered includes Generative AI for business leaders, prompt engineering, ethics and industry use cases
Google Cloud Introduction to Generative AI: This is a free introductory course. Modules cover Generative AI Fundamentals, LLMs and responsible AI. A subscription option lets you supplement the concepts with lab practice
Generative AI for Business Leaders: This is a short course meant for Business Leaders. It covers the basics of getting started with Generative AI, business implications, pitfalls and future trends. There is a free one-month trial and a certificate of completion on subscribing.
Learn Prompting: This is a free and open source course which explains how to use ChatGPT and other tools. It has modules at various skill levels. Some of the topics covered are prompt engineering basics, applied prompting, reliability, image prompting, prompt hacking, tooling and prompt tuning.
Towards AI: This is a useful resource for finding news and opinions, discovering tutorials, and exploring the latest newsletters and articles on trending topics. It is essentially an active AI community and content platform, with more than 2,000 contributing writers and 270,000 followers. The access is free, although some content requires you to pay.
Udemy: Udemy is another great learning resource for Generative AI. It offers more than 80 courses with supporting tutorials for various levels of programming experience. Some of the popular courses are ChatGPT basics, automating content generation, AI in marketing, time management, code completion and cybersecurity.
Visually AI: This site has a very strong focus on AI image-generation tools and techniques. It is a great resource for interesting tips on how to find the right tool by product category, type of tool or the most popular app. Much of the content is free, though several premium courses are also available.
Youtube: This is another great resource for learning the basics and keeping up with the trends. There are a plethora of short-form videos and innumerable deeper dives into special topics, including the practical aspects of Generative AI for data science, mastering new tools and discovering new business use cases.
Conclusion
The above list of courses provide great starting points for anyone interested in learning about Generative AI. They include practical insights, fundamental knowledge, and hands-on experience. As you progress, remember to apply this newly-acquired knowledge to practical projects so that you can add these to your portfolio and make it impressive.
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