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Everyone wants a bite of the generative ai pie, from software developers to non-technical business leaders. All you need is to have all the information and skills necessary to take generative ai to the next level in your career or organization. Now you can get this information with free Amazon courses that delve into generative ai, across different aspects, sectors and also for different jobs.
Link: Fundamentals of Generative ai
Tune in to Amazon's Generative ai Foundations YouTube playlist, which offers a technical deep dive designed for those already familiar with ai modeling. You'll learn about the conceptual foundations of generative ai and be offered practical tips and hands-on guidance to pre-train, tune, and deploy next-generation core models on AWS and beyond.
Link: Rapid Engineering Foundation
This is a standalone course, where you will learn the principles, techniques and best practices for effective rapid engineering. Start by learning the basics and slowly advance to more advanced techniques. You will also learn how to protect against misuse and mitigate bias.
This course is aimed at intermediate level technology professionals and will last 4 hours. To get the most out of this course, it is recommended to have a good knowledge of generative ai, how to handle it in projects, and also Amazon Bedrock.
Link: ai-learning-plan-for-developers” rel=”noopener” target=”_blank”>Generative ai Learning Plan for Developers
Start your generative ai learning journey for software developers with this free course from Amazon that covers models in large languages, plan generative ai projects, learn the fundamentals of rapid engineering, and also get started with Amazon Bedrock.
It consists of 5 courses, which will last 11 hours in total. To get the most out of this course, the prerequisites are to have AWS Technical Basics and intermediate level proficiency in Python.
Link: Creating language models in AWS
Learn how to build large language models in Amazon SageMarker, a platform known for helping data scientists build, train, deploy, and monitor machine learning models. Data scientists will be tasked with building large language models on the platform, learning about the different storage, ingestion and training options in order to process the large text data needed for the model. You will also learn about the challenges encountered when implementing large language models for generative ai tasks.
This course is aimed at advanced level technology professionals and will last 5.5 hours.
Link: ai-learning-plan-for-developers” rel=”noopener” target=”_blank”>Generative ai Learning Plan for Decision Makers
When it comes to being a technology professional or working with data-driven results, making decisions can be one of the most challenging things. In this free course provided by Amazon, you will learn how generative ai is used on the business side and how it is used to make technical decisions. Become one of these decision makers as you learn how to approach a generative ai project to prepare an organization for generative ai.
This learning path consists of 3 courses, which will last 1 hour each.
Link: ai-for-executives” rel=”noopener” target=”_blank”>Generative ai for executives
Although there is a lot of hype around generative ai right now, you may not yet understand its true capabilities and how it can be implemented to improve your organization. In this course, you'll get a high-level picture of generative ai, how it can address executive concerns and challenges, and how it supports business growth. This will be supported by several use cases and also a video on how to train your workforce to use generative ai.
Regardless of where you are in your organization, you need to understand where the technology landscape is currently and what we should expect in the future. These courses can help you implement new strategies for your organization or improve your skills as a software developer.
Everyone should have free access to learn about today's world.
nisha arya is a data scientist and freelance technical writer. She is particularly interested in providing professional data science advice or tutorials and theory-based data science insights. She also wants to explore the different ways in which artificial intelligence can benefit the longevity of human life. A great student looking to expand her technological knowledge and writing skills, while she helps guide others.
