This course is for the absolute beginner to Artificial Intelligence (AI), Machine Learning, Deep Learning, and Data Science. If you are feeling overwhelmed by either the tsunami of data that you are tasked with trying to make sense out of, or overwhelmed by the tsunami of media coverage around Artificial Intelligence, Deep Learning, Data Science, and Machine Learning, I am here to share a competitive advantage.
There is an AI and Data Discovery platform that can be constructed and configured with clicks instead of code. That platform? Salesforce Einstein. The disruptive power of this is that Artificial Intelligence is now available to the masses, and not just to the quants and data scientists among us. You can now not only catch the competition, but leap frog past them, by leveraging Salesforce Einstein as your On-Demand Data Scientist.
Salesforce is the revolutionary company that disrupted the IT Industry with the advent Cloud Computing. What started as a cloud-based CRM system is now a best-in-breed, world class enterprise platform-as-a-service for Marketing, Sales, Service, eCommerce, Health, Government, IoT, and now AI, with the release of Salesforce Einstein.
In this course, we will work through the core concepts of Artificial Intelligence, in plain English. From there, we will work through signing up for a free Salesforce Einstein account (that you can keep for life) that has the new Salesforce Einstein AI engine enabled. This deep learning engine is a historic breakthrough on the computing capabilities of AI and are accessible to the masses by way of clicks instead of code.
We will then work through several different practice exercises and modules to get you hands on experience with building enterprise level apps with AI baked right in. There is no coding required - you can build AI enabled apps with clicks instead of code, thanks to being able to leverage the Salesforce Einstein AI framework. I will show you how in this quick and fun course that will get you well on your way to becoming an AI expert.
Are you ready to become an AI developer? Let's get started immediately!
In this lecture, I introduce you to myself, share my background, and lay out what to expect throughout this course.
In this lecture I show you where and how to sign up for an Einstein Discovery account.
In this lecture, I show you how to navigate to the login screen of Einstein Discovery and log in.
Now that you are logged into Einstein Discovery, it is time to get familiar with the user interface. In this lecture we tour the UI of Einstein Discovery.
In this lecture, we will sign up for a free Salesforce Trailhead account. You can sign up for a Trailhead account using either a Salesforce Account, Facebook Account, or Google Plus. You will need this Trailhead account in order to complete some of the other exercises in this course.
In this introductory lecture, I run through what we will be covering in this particular section of the course related to importing data sets into Einstein Discovery.
In this lecture, we walk through downloading the sample data set .csv file and then we work through the process of importing the data into Salesforce Einstein Discovery. I also show you how to perform data cleanup steps in your data set from within Einstein Discovery as well as changing the specified data types of fields.
In this lecture, I demonstrate how to add a connection to a Salesforce instance to Einstein Discovery. I then import my own data from my own org related to my course reviews and ratings into Einstein Discovery. I also perform data cleanup on my data set.
I show you how to import data from Hadoop, MySQL, Netezza, Oracle, Postgres, SAP and SQL Server into Einstein Discovery through the Datasets import screen. We also revisit importing .csv data sets. I introduce you to a couple of other websites that provide good data sets which you can query and download for your own use in Einstein Discovery.
A couple of datasets that I use are related to Crime Data for a city, as well as programming and rating data for Netflix programming. We import these data sets into Salesforce Einstein Discovery.
I finish out this lecture by demonstrating how to connect to a MySQL database in Salesforce Einstein Discovery and grab the contents of a table from it. I also find that the datasets have a minimum limit of 1000 rows.
In this text lecture, I provide the steps of importing your first dataset into Salesforce.
In this lecture I demonstrate how to rename a dataset. I also show how to delete datasets in Einstein Discovery. We also cover how to change data types of fields in datasets. I demonstrate how to delete fields in a dataset and apply changes as well as renaming columns.
In this introductory lecture, I run through what we will be covering in this particular section of the course related to creating stories in Einstein Discovery.
In this lecture I show you how to create a story in Einstein Discovery, utilizing one of the datasets that we imported previously.
In this lecture, I drill down into the dataset around my own course ratings which I have imported into Einstein Discovery. I discover some surprising findings around what influences ratings to be higher and have a takeaway that I can apply to improve the ratings of my own courses over time. I also drill down into the Netflix dataset story and reveal how the show ratings vary by the rating and release date of various programs.
In this introductory lecture, I run through what we will be covering in this particular section of the course related to Executive Summaries in Einstein Discovery.
In this lecture, I show you how to play an Executive Summary in Einstein Discovery.
In this lecture I show you how to turn on and use Discovery Mode in an Executive Summary.
In this lecture I show you how to personalize stories in an Executive Summary. This involves giving thumbs up and thumbs down on data points in a story. These inputs save back to your data set to allow for you to provide human insights into machine derived data sets and stories.
In this lecture I show you how to view and change recommended insights in Executive Summaries.
In this introductory lecture, I lay the groundwork for the sharing and exporting functions we will cover in this section.
In this lecture, I show you how to share stories with other users in Einstein Discovery. I also introduce you to the Einstein Discovery User Guide and discuss various limits on the platform.
In this lecture, I show you how to export your dataset story to Microsoft Word.
In this lecture, I show you how to export your dataset story to Microsoft PowerPoint.
In this lecture, I show you how to export R code via Einstein Discovery. I discuss the different Insight Types in Einstein Discovery. I also show the model validation results which are also exported with the R code.
In this practice activity lecture, I show you the final pieces of the Trailhead trail. I also discuss other datasets and limits for number of rows with a minimum of at least a 1000 rows, encourage you to share good datasets that you have found in order to share with other students.
I discuss my website, how to stay up to date with new courses and how to save on my existing courses.
I teach Salesforce user, certification and AI / Artificial Intelligence courses because I am passionate about the platform, and the awesome things you can build quickly on it - including your career! There is an extreme shortage of Salesforce talent in the job market, and I am creating Salesforce Certification and User courses, so that you can get a good paying job in the cloud.
After Thousands of Udemy Survey ratings for my courses, the students have spoken:
"Are you learning valuable information?" 99.6% answered YES
"Are the explanations of the concepts clear?" 99.8% answered YES
"Is the instructor knowledgeable about the topic?" 99.9% answered YES
I have been building solutions on the Salesforce platform since 2008, and started my own certification journey in 2011. Before discovering Salesforce, I worked as a Technical Writer, Trainer, and built blogs using Wordpress. Once I found Salesforce, I saw it as the quickest path to building world-class web and mobile applications for businesses and consumers. I've attained 6 Salesforce Certifications along the way: Salesforce Developer, Salesforce Administrator, Salesforce Advanced Administrator, Salesforce Sales Cloud Consultant, Salesforce Service Cloud Consultant, and Salesforce Platform App Builder.
I am the founder of Mike Wheeler Media, LLC, where my mission is to Inspire, Equip and Train the masses on the Salesforce Platform. Feel free to connect with me through the various social profile links on my profile here.
I use the Adobe Creative Cloud everyday, specifically working in Premiere Pro, After Effects & Photoshop. I have obtained my Adobe Certified Expert (ACE) certification in Premiere Pro CC and am currently working towards certifications in Photoshop CC & After Effects CC as well.
I have been working full time in video production for over 4 years now and have gained valuable insights into the production pipeline & workflow. I am currently working for my father's company, Mike Wheeler Media LLC, as Chief Design Officer.
I hope to soon create Adobe courses of my own & teach all that I have come to learn while working in the production industry.