Transitioning From It To Ai: The Only Course You Need!
Published 2/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.32 GB | Duration: 5h 58m

Take Control Of Your Career By Learning AI!

What you'll learn

You will learn how to code via hand holding methods

You will learn the core differences between AI and Classical Computing

You will learn the theory behind AI

You will learn how to apply and utilize AI in real world business use cases

Requirements

No prior experience with AI or coding is required.

Description

This course consists of over 6 hours of video content, two free books, and three hands on exercises and handouts. It is designed for anyone who is thinking about or who has recently decided to take a leap from IT To AI. As an IT professional for over 20 years, I understand exactly what is involved in that leap, and how hard it can be. This course is a distillation of my experience into this single topic and course. From theory, to hands on practical application and resources, to a method that is assured to teach you how to code, even if you do not consider yourself a developer on any level, you will find all of the resources that you need to male a full transition and leap from IT to AI within this course. The course itself is broken up into four sections and 13 lectures. If you simply need to hone a particular skill, or learn all of the skills necessary to advance and/or transition your career and take that leap, then you will not find a more thorough and unique course than this one. I look forward to teaching you about AI, about Math Theory, about Computer Science, and everything in between.

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Learning To Code In Python

Lecture 2 Intro To Python

Lecture 3 Training A Naive Bayes Classifier On Ham or Spam

Lecture 4 Creating A Bert Transformer Classifier & Debugging

Section 3: The Theory Behind AI

Lecture 5 The Linear Progression of Logistical Regression

Lecture 6 The Business of AI: Business Theory Related To AI

Lecture 7 The Theory of Letters & Numbers: According To AI

Lecture 8 The Theory of Math: For People Who Do Not Like Math!

Section 4: AI In Practice: Using AI For Complicated Business Tasks

Lecture 9 Creating An Inventory Management Algorithm

Lecture 10 Creating A Corporate Knowledge Base From Scratch

Lecture 11 The Current Practical Limits of AI For Corporate Use

Lecture 12 The Difference Between AI And Classical Computing

Section 5: Conclusion

Lecture 13 FInding Your AI Niche

This course is specifically designed for IT Executives and Professionals