Want to dive into the exciting world of generative AI?
As you know, generative AI is the biggest thing going on right now, going back about a year to the launch of ChatGPT. Since then, generative AI has taken not only technology but the entire world by storm. Skills are in high demand, but given that specializations are new and constantly changing, it's especially important in nascent fields to stay up to date with developments.
Whether you're new to the broad field of artificial intelligence or looking to enhance your existing skills, there are many free courses available to help you master this cutting-edge technology. Here's a list of five courses that can start or improve your generative AI journey.
Learn the fundamentals of building generative AI applications in this comprehensive 12-lesson course from Microsoft. Each lesson includes a video introduction, documentation, a Jupyter Notebook with code examples, assignments, and additional resources. Topics include understanding generative AI and large-scale language models, prompt engineering, building a variety of applications, and designing user experiences for AI applications.
Course Link: Generative AI for Beginners
This Databricks course provides fundamental knowledge of generative AI, including LLM, through four videos. It covers various aspects of generative AI, including applications, success strategies, and potential risks and challenges. As you complete courses and pass knowledge tests, you'll earn badges that you can share on your LinkedIn profile or resume.
Course Link: Fundamentals of Generative AI
This introductory microlearning course by Google Cloud Skills Boost provides an overview of generative AI concepts and explores large-scale language models, responsible AI principles, and Google tools for developing your own Gen AI applications. To do. Courses include Introduction to Generative AI, Introduction to Large-Scale Language Models, Introduction to Responsible AI, Fundamentals of Generative AI, and Responsible AI: Applying AI Principles with Google Cloud. Earn badges upon completion.
Course Link: Generative AI Learning Path Overview
This AWS course provides a comprehensive understanding of generative AI, focusing on the LLM-based AI lifecycle, transformer architecture, model optimization, and practical deployment methods. It is designed for developers with basic knowledge of LLM and provides insight into best practices for effectively training and deploying these models. This is an intermediate level course as Python experience and basic machine learning concepts are prerequisites.
Course link: Generative AI using large-scale language models
Generative AI for Everyone, presented by Deeplearning.AI and taught by AI expert Andrew Ng, focuses on understanding and applying generative AI in a variety of situations. This course covers the basics of how generative AI works, its capabilities and limitations, and includes practical exercises in prompt engineering and advanced AI applications. Participants will explore real-world applications, work on generative AI projects, and understand their impact on business and society. It aims to provide learners with knowledge about the AI project lifecycle, potential opportunities, and risks associated with generative AI technologies.
Course link: Generative AI for everyone
These courses provide an excellent set of starting points for anyone interested in learning about and mastering generative AI. These provide practical insights, foundational knowledge, and hands-on experience in developing and deploying AI applications. As you progress, don't forget to apply your newfound knowledge by working on projects and building a portfolio that shows your skills and creativity in this rapidly evolving field.
Good luck with your studies!
Matthew Mayo (@mattmayo13) holds a Master's degree in Computer Science and a Postgraduate Diploma in Data Mining. As Editor-in-Chief, Matthew aims to make complex data science concepts accessible. His professional interests include natural language processing, machine learning algorithms, and exploring emerging AI. He is driven by a mission to democratize knowledge of data science in his community. Matthew has been coding since he was 6 years old.
