There are a ton of really quality and in-depth resources for skilling up in the AI space. we’ve curated a list of some of our preferred resources below. Some of them are even FREE! If you’re looking to branch out of the Salesforce AI space and start learning more broadly available AI skills, there are some great options below. See something that needs to be updated? Let us know at [email protected].
ChatGPT for Accelerating Salesforce Development – Lars Malmqvist
This book is for Salesforce developers, offering insights into using ChatGPT to enhance their coding and configuration abilities. It’s an invaluable resource for business analysts looking to use ChatGPT to translate complex requirements into actionable solutions. For testers, this book covers methods to leverage ChatGPT for more effective testing processes, ensuring higher quality outcomes. Product owners will gain insights into optimizing project workflows and aligning technical capabilities with business goals, making this book a must-have for Salesforce project team members.
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Intro to Generative AI – Google
Azure and AI Fundamentals – Microsoft
Course description
This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The course is designed as a blended learning….
Price: FREE
Intro to AI with Python – Harvard University
Course description
AI is transforming how we live, work, and play. By enabling new technologies like self-driving cars and recommendation systems or improving old ones like medical diagnostics and search engines, the demand for expertise in AI and machine learning is growing rapidly. This course will enable you to take the first step toward solving important real-world problems and future-proofing your career….
Price: FREE
Fundamentals of TinyML – Harvard University
Course description
Perhaps the most popular data science methodologies come from machine learning. What distinguishes machine learning from other computer guided decision processes is that it builds prediction algorithms using data. Some of the most popular products that use machine learning include the handwriting readers implemented by the postal service, speech recognition, movie recommendation systems, and spam detectors.
In this course, part of our Professional Certificate Program in Data Science, you will learn popular machine learning algorithms….
Price: FREE
Prompt Engineering – OpenAI
Course description
This guide shares strategies and tactics for getting better results from large language models (sometimes referred to as GPT models) like GPT-4. The methods described here can sometimes be deployed in combination for greater effect. We encourage experimentation to find the methods that work best for you…..
Price: FREE
ML + Systems – Stanford
Course description
Machine learning is driving exciting changes and progress in computing. What does the ubiquity of machine learning mean for how people build and deploy systems and applications? What challenges does industry face when deploying machine learning systems in the real world, and how can academia rise to meet those challenges?
In this seminar series, we want to take a look at the frontier of machine learning…..
Price: FREE
Architecting AI Solutions on Salesforce – Lars Malmqvist
This book is for technical and functional architects, technical decision-makers working on the Salesforce ecosystem, as well as anyone responsible for designing AI solutions in their Salesforce ecosystem. Lead and senior Salesforce developers who want to start their Salesforce architecture journey will also find this book helpful. Working knowledge of the Salesforce platform is necessary to get the most out of this book.
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