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Prepare for the Salesforce AI Associate Certification

4.4 Filled star Filled star Filled star Filled star Empty star
Based on 4,642 ratings
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Emily Call, MBA and Jeremy Call, MSDA

Thank you for your interest in this course.  

Salesforce is on the cutting edge of Artificial Intelligence and has a new associate certification for you to show your knowledge.  Artificial Intelligence, especially in business, can be daunting. We cover AI for CRM to get you caught up on all you need to know.

In this course, we cover all of the necessities to pass the Salesforce AI associate Certification, with absolutely no fluff. Easily and quickly getting you Salesforce Certified.

Read more

Thank you for your interest in this course.  

Salesforce is on the cutting edge of Artificial Intelligence and has a new associate certification for you to show your knowledge.  Artificial Intelligence, especially in business, can be daunting. We cover AI for CRM to get you caught up on all you need to know.

In this course, we cover all of the necessities to pass the Salesforce AI associate Certification, with absolutely no fluff. Easily and quickly getting you Salesforce Certified.

You can be confident in taking the Salesforce AI Associate Certification after learning these concepts, learning the key terms, and working through practice questions.

Easily get certified through this streamlined course with the following resources: 

  1. Complete video lectures covering all exam topics.

  2. Demoed solutions and practice questions after every section.

  3. Comprehensive glossary of all terms you need to know with links to learn more.

  4. A full practice exam formatted like the actual exam with explanations and documentation links.

  5. Notes on the 52 trailhead modules that make up this Trailmix.

Learn how to leverage AI with Salesforce and increase your productivity.

We are excited to see you pass the Salesforce AI Associate Certification and celebrate both your Salesforce and AI wins.

Enroll now

What's inside

Learning objectives

  • Ai fundamentals
  • Ai capabilities in crm
  • Ethical considerations for ai
  • Data for ai

Syllabus

Introduction
Welcome to the course!
Meet Jeremy
Meet Emily
Read more

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Introduces foundational concepts in Artificial Intelligence (AI), which is a widely adopted technology in modern business environments
Explores the use and relevance of AI within the context of customer relationship management (CRM), providing a practical perspective for learners
Teaches guidelines and principles for developing responsible and ethical AI systems, which is critical knowledge for professionals in this field
Covers techniques for data management and preparation, which are essential for building effective AI models and solutions
Provides a comprehensive and up-to-date study of AI for CRM, preparing learners for the Salesforce AI Associate Certification
Taught by instructors with expertise in both business and data science, ensuring the course is grounded in both theory and practice

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Create your own learning path. Save this course to your list so you can find it easily later.
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Reviews summary

Salesforce ai certification prep

According to students, this course is a highly effective preparation tool for the Salesforce AI Associate Certification, often enabling learners to pass the exam quickly. Reviewers consistently highlight its focused and concise content, appreciating that it provides exactly what is needed without fluff. The practice questions and full-length practice exam are frequently praised as invaluable for reinforcing learning and identifying weak areas. While it excels as exam preparation, learners note it's not designed for a deep dive into AI concepts beyond the certification requirements. It serves as a useful structured companion to Salesforce Trailhead.
Serves as a helpful, structured companion to Salesforce Trailhead.
"A very useful companion to the Salesforce Trailhead modules. The course clarifies a lot of the material..."
"It filled in the gaps that Trailhead sometimes leaves."
"I had to do a lot of additional research on Trailhead and other sites to feel confident."
Practice questions and full exam are crucial for skill reinforcement.
"The practice questions were spot on and the full-length exam really helped me identify my weak areas."
"The practice questions are invaluable."
"The practice exam was helpful, but I felt the lectures sometimes skimmed over topics."
Content is streamlined, directly addressing exam topics without fluff.
"The content is super focused, no time wasted on irrelevant topics."
"Jeremy and Emily did a fantastic job explaining complex AI concepts in a very digestible way. The video lectures are clear and concise."
"It's truly 'no fluff' which means it skips deeper explanations."
Highly effective in preparing learners for the certification exam.
"This course is exactly what I needed to pass the Salesforce AI Associate Certification."
"I passed my exam yesterday thanks to this course!"
"I probably wouldn't have passed without the structured approach here, especially the notes on the Trailmix."
The course focuses on certification, not comprehensive AI understanding.
"While it's great for certification, remember it's not a deep dive into AI itself, just what you need for the exam."
"The course covers the basics well, but if you're looking for deep understanding beyond what's needed for the associate cert, this isn't it."
"Don't expect to become an AI expert."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Prepare for the Salesforce AI Associate Certification with these activities:
Practice SQL Queries
Brush up on your SQL skills to enhance your ability to work with data in Salesforce.
Browse courses on SQL
Show steps
  • Review the basics of SQL syntax and commands.
  • Practice writing SQL queries to retrieve and manipulate data.
Review Essential AI Concepts
Solidify your understanding of the core concepts and applications of AI in business.
View Melania on Amazon
Show steps
  • Read the first three chapters of the book.
  • Summarize the key concepts covered in each chapter.
  • Identify the different types of AI algorithms and how they are used.
  • Discuss the ethical implications of AI and how it can be used for good.
Join a Salesforce AI Study Group
Connect with other learners and discuss the course material, best practices, and industry trends.
Browse courses on AI in Business
Show steps
  • Find a study group or create one with fellow classmates.
  • Set regular meeting times to discuss the course material.
  • Share knowledge, resources, and experiences with the group.
Three other activities
Expand to see all activities and additional details
Show all six activities
Complete Salesforce AI Practice Exam
Test your knowledge of the key concepts covered on the Salesforce AI Associate Certification exam.
Show steps
  • Take the full-length practice exam provided in the course materials.
  • Review your answers and identify areas where you need improvement.
  • Focus on practicing the concepts and topics where you struggled.
Create a Blog Post or Article on AI in Business
Share your knowledge and insights about the applications and benefits of AI in a business setting.
Browse courses on AI in Business
Show steps
  • Choose a specific topic related to AI in business.
  • Research and gather information from credible sources.
  • Write a well-organized and informative blog post or article.
Create a Salesforce AI Project
Apply your knowledge of AI in Salesforce by developing a real-world project.
Show steps
  • Identify a business problem that can be solved using AI.
  • Design and implement an AI solution using Salesforce Einstein.
  • Evaluate the results of your project and make necessary adjustments.

Career center

Learners who complete Prepare for the Salesforce AI Associate Certification will develop knowledge and skills that may be useful to these careers:
AI Engineer
An AI Engineer designs, develops, and deploys AI systems. This course may help build a foundation for a career as an AI Engineer by providing an overview of AI fundamentals, AI capabilities in CRM, ethical considerations for AI, and data for AI. These concepts are essential for understanding how to develop and deploy AI systems that can be used to solve complex business problems.
See salaries and explore the career path for AI Engineer
Data Scientist
A Data Scientist uses data to develop and test hypotheses, build models, and create visualizations to communicate insights. This course may help build a foundation for a career as a Data Scientist by providing an overview of AI fundamentals, AI capabilities in CRM, ethical considerations for AI, and data for AI. These concepts are essential for understanding how to use data to solve business problems and make informed decisions.
See salaries and explore the career path for Data Scientist
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models to solve business problems. This course may help build a foundation for a career as a Machine Learning Engineer by providing an overview of AI fundamentals, AI capabilities in CRM, ethical considerations for AI, and data for AI. These concepts are essential for understanding how to develop and deploy machine learning models that can be used to automate tasks and improve decision-making.
See salaries and explore the career path for Machine Learning Engineer
Product Manager
A Product Manager is responsible for managing the development and launch of new products. This course may help build a foundation for a career as a Product Manager by providing an overview of AI fundamentals, AI capabilities in CRM, ethical considerations for AI, and data for AI. These concepts are essential for understanding how to develop and launch products that use AI to meet the needs of the market.
See salaries and explore the career path for Product Manager
Data Analyst
A Data Analyst is responsible for transforming raw data into usable information that can be used to make informed business decisions. This course may help build a foundation for a career as a Data Analyst by providing an overview of AI fundamentals, AI capabilities in CRM, ethical considerations for AI, and data for AI. These concepts are essential for understanding how to collect, analyze, and interpret data to identify trends and patterns that can be used to improve business outcomes.
See salaries and explore the career path for Data Analyst
Business Analyst
A Business Analyst gathers and analyzes business requirements to develop solutions that meet the needs of the business. This course may help build a foundation for a career as a Business Analyst by providing an overview of AI fundamentals, AI capabilities in CRM, ethical considerations for AI, and data for AI. These concepts are essential for understanding how to use AI to improve business processes and make better decisions.
See salaries and explore the career path for Business Analyst
Marketing Manager
A Marketing Manager is responsible for developing and executing marketing campaigns to promote products and services. This course may help build a foundation for a career as a Marketing Manager by providing an overview of AI fundamentals, AI capabilities in CRM, ethical considerations for AI, and data for AI. These concepts are essential for understanding how to use AI to target customers and increase sales.
See salaries and explore the career path for Marketing Manager
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may help build a foundation for a career as a Software Engineer by providing an overview of AI fundamentals, AI capabilities in CRM, ethical considerations for AI, and data for AI. These concepts are essential for understanding how to develop software applications that can use AI to solve complex problems.
See salaries and explore the career path for Software Engineer
Sales Manager
A Sales Manager is responsible for leading and managing a sales team to achieve sales goals. This course may help build a foundation for a career as a Sales Manager by providing an overview of AI fundamentals, AI capabilities in CRM, ethical considerations for AI, and data for AI. These concepts are essential for understanding how to use AI to improve sales performance and close more deals.
See salaries and explore the career path for Sales Manager
Customer Success Manager
A Customer Success Manager is responsible for ensuring that customers are successful with a company's products or services. This course may help build a foundation for a career as a Customer Success Manager by providing an overview of AI fundamentals, AI capabilities in CRM, ethical considerations for AI, and data for AI. These concepts are essential for understanding how to use AI to improve customer satisfaction and retention.
See salaries and explore the career path for Customer Success Manager
Project Manager
A Project Manager is responsible for planning, executing, and closing projects. This course may help build a foundation for a career as a Project Manager by providing an overview of AI fundamentals, AI capabilities in CRM, ethical considerations for AI, and data for AI. These concepts are essential for understanding how to use AI to improve project planning, execution, and closure.
See salaries and explore the career path for Project Manager
Operations Manager
An Operations Manager is responsible for planning, organizing, and controlling the operations of a business. This course may help build a foundation for a career as an Operations Manager by providing an overview of AI fundamentals, AI capabilities in CRM, ethical considerations for AI, and data for AI. These concepts are essential for understanding how to use AI to improve operational efficiency and effectiveness.
See salaries and explore the career path for Operations Manager
Financial Analyst
A Financial Analyst is responsible for analyzing financial data to make investment recommendations. This course may help build a foundation for a career as a Financial Analyst by providing an overview of AI fundamentals, AI capabilities in CRM, ethical considerations for AI, and data for AI. These concepts are essential for understanding how to use AI to analyze financial data and make sound investment decisions.
See salaries and explore the career path for Financial Analyst
Consultant
A Consultant provides advice and guidance to businesses on how to improve their operations. This course may help build a foundation for a career as a Consultant by providing an overview of AI fundamentals, AI capabilities in CRM, ethical considerations for AI, and data for AI. These concepts are essential for understanding how to use AI to solve business problems and improve operational efficiency.
See salaries and explore the career path for Consultant
Entrepreneur
An Entrepreneur starts and runs their own business. This course may be useful for Entrepreneurs who want to learn how to use AI to improve their business operations and gain a competitive advantage.
See salaries and explore the career path for Entrepreneur

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Prepare for the Salesforce AI Associate Certification.
Cover image
Reinforcement Learning, second edition
Save
Provides a comprehensive overview of reinforcement learning, which type of AI that is used in many applications.
Reinforcement Learning, second edition: An...
Hardcover
$$$
Reinforcement Learning, second edition: An...
Kindle Edition
$$$
Cover image
Introduction to Artificial Intelligence
Save
Provides a comprehensive overview of AI, covering both its theoretical foundations and practical applications.
Introduction to Artificial Intelligence
Paperback
Check
Introduction to Artificial Intelligence
Kindle Edition
Check
Cover image
Artificial Intelligence
Save
Provides a comprehensive overview of AI, covering both its technical and philosophical aspects.
Artificial Intelligence
Paperback
Check
Artificial Intelligence
Kindle Edition
Check
Cover image
Probabilistic Machine Learning
Save
Provides a comprehensive overview of machine learning from a probabilistic perspective, which is essential for understanding AI.
Probabilistic Machine Learning: Advanced Topics...
Hardcover
$$$$
Cover image
The Ethical Algorithm
Save
Provides an in-depth look at the ethical considerations of AI and offers practical guidance for developing and deploying AI systems that are fair and responsible.
The Ethical Algorithm: The Science of Socially...
Hardcover
$$
(Español) El algoritmo ético. La ciencia del diseño de...
Kindle Edition
$$
Cover image
Deep Learning
Save
Provides a comprehensive overview of deep learning, which subfield of AI that is used in many applications.
Deep Learning
Paperback
$$$
Deep Learning (Adaptive Computation and Machine...
Hardcover
$$$
Deep Learning (Adaptive Computation and Machine...
Kindle Edition
$$$
Cover image
Quantum Supremacy
Save
Explores the potential impact of AI and other emerging technologies on the future of humanity, providing a thought-provoking perspective on the future of AI.
Quantum Supremacy: How the Quantum Computer...
Hardcover
$$
Quantum Supremacy: How the Quantum Computer...
Kindle Edition
$$
Cover image
Python for Data Analysis
Save
Provides a practical introduction to data analysis with Python and the Pandas library, which prerequisite for working with data in AI applications.
Python for Data Analysis
Paperback
Check
Python for Data Analysis
Kindle Edition
Check
Cover image
Data Science for Business
Save
Provides a practical introduction to data science, which is essential for working with data in AI applications.
Data Science for Business: What You Need to Know...
Paperback
$$
Data Science for Business: What You Need to Know...
Kindle Edition
$$
Cover image
Hands-On Machine Learning with Scikit-Learn, Keras,...
Save
Provides a practical introduction to machine learning with Python and popular libraries such as Scikit-Learn, Keras, and TensorFlow.
Hands-On Machine Learning with Scikit-Learn, Keras,...
Paperback
$$
Hands-On Machine Learning with Scikit-Learn, Keras,...
Paperback
$$$
Hands-On Machine Learning with Scikit-Learn, Keras,...
Kindle Edition
$$
Cover image
Life 3.0
Save
Explores the potential impact of AI on society and the human condition, providing a thought-provoking perspective on the future of AI.
Life 3.0: Being Human in the Age of Artificial...
Paperback
$$
(Español) Vida 3.0/Life 3.0: Being Human in the Age of...
Paperback
$$
Our Mathematical Universe & Life 3.0 Being Human in...
Paperback
$$$
(Deutsch) Leben 3.0: Mensch sein im Zeitalter Künstlicher...
Kindle Edition
$$
Life 3.0 (Lead Title)
Hardcover
$$
(中文) Life 3.0: being human in the age of artificial...
Hardcover
$$
Life 3.0: mens zijn in het tijdperk van kunstmatige...
Paperback
$$
(Português) Life 3.0 Ser-se Humano na Era da Inteligência...
Paperback
$$

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Rating
4.4 Filled star Filled star Filled star Filled star Empty star
Effort
1.5 total hours
Via
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Instructors
Emily Call, MBA
Jeremy Call, MSDA
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Introduces foundational concepts in Artificial Intelligence (AI), which is a widely adopted technology in modern business environments
Explores the use and relevance of AI within the context of customer relationship management (CRM), providing a practical perspective for learners
Teaches guidelines and principles for developing responsible and ethical AI systems, which is critical knowledge for professionals in this field
Covers techniques for data management and preparation, which are essential for building effective AI models and solutions
Provides a comprehensive and up-to-date study of AI for CRM, preparing learners for the Salesforce AI Associate Certification
Taught by instructors with expertise in both business and data science, ensuring the course is grounded in both theory and practice
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