The Complete Salesforce Certified AI Associate Exam Course
About this course
Welcome to the most complete course for the first AI certification from Salesforce - the Salesforce AI Associate Certification!My name is Mike Wheeler and I am a best-selling Salesforce and AI instructor and I attained the AI Associate Certification on the day of its initial release.I am well versed in teaching both Salesforce and AI and am perfectly positioned to prepare you fully for the AI Associate Exam.I have structured this course after the exam guide for this certification.You will find this course structured into four primary knowledge areas:AI FundamentalsAI Capabilities in CRMEthical Considerations of AIData for AIUpon the completion of this course, you'll understand the principles and applications of AI within Salesforce. You will also be able to differentiate between the types of AI and their capabilities, such as generative AI, predictive AI and more.No prior Salesforce or AI experience is required. I will show you how to sign up for your own Salesforce account and get you familiar with the interface. You'll also be introduced to the foundations of AI and also CRM.You will learn the various CRM AI capabilities of Salesforce as well as the benefits of AI as they apply to CRM. You will also learn about the ethical challenges of AI, such as human bias in machine learning, transparency challenges and more. You will also be able to apply Salesforce's Trusted AI principles to given scenarios.Additionally, you'll learn in depth about the fuel of AI - data. You will come to understand the importance of data quality for AI and the elements and components of data quality.
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What you'll learn
- Understand AI principles and applications within Salesforce
- Differentiate among various types of AI, including generative and predictive
- Familiarize yourself with the Salesforce interface and sign up for an account
- Recognize ethical challenges of AI, such as human bias and transparency
- Apply Salesforce's Trusted AI principles in real-world scenarios
- Understand the importance of data quality for AI
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