Top 5: There are a tonne of free courses available to assist you become proficient with this cutting-edge technology, regardless of your level of experience in the topic of artificial intelligence. These five courses might either help you get started or advance in your generative AI journey.
Top 5 free generative AI courses
Introduction to Generative Artificial Intelligence – Amazon
Amazon has pledged to teach 2 million people worldwide for free in AI capabilities by 2025 as part of its AI Ready initiative. Business and non-technical audiences can learn about the fundamental ideas and applications of generative AI from the “Introduction to Generative Artificial Intelligence” course.
Generative AI Fundamentals – Databricks
With the use of four videos, this Databricks course offers a basic understanding of generative AI, including LLMs. It addresses several facets of generative AI, including uses, tactics for success, and possible dangers and difficulties. You can share a badge on your resume or LinkedIn profile once you’ve finished the course and passed the knowledge test.
Career Essentials in Generative AI – Microsoft and LinkedIn
The “Career Essentials in Generative AI” course is a joint offering from Microsoft and LinkedIn. This course, which was updated in June 2023, explains generative AI models, ethical issues, and how generative AI tools affect different businesses.
Generative AI with Large Language Models – AWS
A thorough overview of generative AI is provided by this AWS course, which focuses on transformer design, model optimisation, LLM-based AI lifecycle, and useful deployment techniques. It offers insights into the best methods for efficiently training and deploying these models, and is intended for developers with a foundational understanding of LLMs. This is an intermediate-level course that requires prior knowledge of Python and fundamental machine-learning techniques.
Generative AI for Everyone – Deeplearning.AI
Deeplearning presents Generative AI for Everyone, which is instructed by AI specialist Andrew Ng, and focuses on comprehending and utilising generative AI in a variety of settings. The course offers hands-on activities in rapid engineering and advanced AI applications in addition to covering the principles of generative AI’s operation, capabilities, and limitations. Participants will work on generative AI projects, investigate practical applications, and comprehend the effects of AI on society and business. Its goal is to give students an understanding of the risks, prospects, and lifecycle of AI projects related to generative AI technology.
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