Causal Ai In A Nutshell

Learn how Causal AI fits in the current Data and AI world in a fast and easy way.

What you'll learn

The basics of Causal AI

The basics of Traditional AI

How Causal AI fits into the broader Data, AI and Business world

When to use Traditional AI versus Causal AI for your problem

The basics of what it would take to run a Causal AI project in practice (general steps, team, tools)

Requirements

No prior requirements. Some basic knowledge of data concepts is helpful, but if not you can still follow along with the course!

Description

In this course, you’ll learn what Causal Artificial Intelligence (Causal AI) is and how it fits into the broader landscape of AI in business.Recently, a huge development has happened in the data, AI, and business industry: the field of Causal AI. Causal AI is all about understanding cause-and-effect relationships in data, making it very effective for data-driven decision-making in business.Many people are curious about Causal AI and want to know: What is it all about? Is it relevant to me? Unfortunately, most resources quickly go into complex math and technical details, making it time-consuming to explore the field. Not everyone is willing to invest that time when they’re not sure it’s even relevant for them.That’s why we created this course—to give you a clear, quick but thorough explanation of what Causal AI is and how it fits into the current data, AI, and business landscape.You’ll learn the motivation and basic components of Causal AI, how it relates to Traditional AI, and when each approach is appropriate. Furthermore, we’ll go over the basics of what it would take to run a Causal AI project in practice—the general steps involved, the team you would need, and some tools available for building Causal AI solutions.By the end of this course, you’ll know what Causal AI is and how it fits into the modern data-driven business world. You’ll be up to date with the latest AI advancements and equipped to decide whether Causal AI is something you want to explore further.So, are you a business innovator, data modeler, or simply someone who wants to stay on top of the latest AI trends? Do you want to know what Causal AI is in a quick and easy way? Then this course is perfect for you!

Overview

Section 1: Causal vs. Traditional AI

Lecture 1 Welcome

Lecture 2 Course Slides

Lecture 3 What is Traditional AI?

Lecture 4 What is Causal AI?

Lecture 5 Descriptive, Predictive, Prescriptive Analytics

Lecture 6 Traditional or Causal AI? The Ladder of Causation

Lecture 7 Traditional or Causal AI? Changing Environments

Lecture 8 Traditional or Causal AI? Explainability & Transparency

Lecture 9 Recap

Section 2: The Basics of Causal AI

Lecture 10 Intro

Lecture 11 Causal Graphs

Lecture 12 Association & Causation

Lecture 13 Understanding and Removing Bias with Causal Graphs

Lecture 14 How to get Causal Graphs?

Lecture 15 Tying it all Together

Lecture 16 Challenges

Lecture 17 Recap

Section 3: The Basics of a Causal AI Project

Lecture 18 Intro

Lecture 19 General Steps

Lecture 20 The Team

Lecture 21 The Tools

Lecture 22 Closure & Recommendations

Everyone interested to learn what Causal AI is and how it fits in the current Data & AI landscape.