Are you looking to quickly, but clearly understand AI - what it is, how it works, and how you can bring it to your organization? Or are you looking to understand AI for personal reasons such as career growth or career transition? 

 

You have come to the right place. In just a single weekend, this course will build an intuitive understanding of AI, help you navigate through the terminology, and give you a framework for identifying AI use-cases.  

While there are many courses on AI, no other course brings this type of intuitive explanation to complex concepts. 

Enroll today and finish over the weekend!



Who Is This Course For?


Managers and Executives who want to thoroughly understand AI and apply and deliver ideas in their businesses. 

Engineers/Developers who are relatively new to the field or who want to enter the field.

Non-Technical Professionals who are interested in applying AI to their work or in their organizations.



Testimonials

Sebastian R

A very thorough and well designed course. Very adaptable to a wide variety of use-cases. The course clearly reflects Suresh's expertise in the field and the level of effort and thought he has put into designing this course.

Eva S

The content of this training is exceptional. A very easy to understand course illustrating specific examples of AI application. It covers a lot of information, yet it is very easy to absorb.

Alex O

Exceptional quality, right blend of theory and practical application! I found this course very actionable. I could easily relate to the lessons, and think of very specific ways to apply the learnings right away.

Greg H

As a developer, I loved it. The course makes it very easy to understand and try out coding. I am recommending this to all my friends.

Tatyana G

The content of this training is extremely relevant to someone like myself, who is looking for tangible examples of AI applications to a variety of real-life problems. The course is easy to understand, and is a great starting point for someone looking to expand their analytical arsenal. It covered a lot of ground, and helped generate transformational ideas in my day-to-day work.

Course Curriculum

  • 1
    Course Introduction
    • Setting Context: AI Around Us [13 min]
  • 2
    What Is AI/ML And How It Works
    • Computer Programs [10 min]
    • House Price Prediction [14 min]
    • Machine Learning Definition [8 min]
    • Sidebar: Model Vs Algorithm [2 min]
    • How ML Works [10 min]
  • 3
    Definitions: ML, AI, Data Science
    • What is AI
    • Data Science Definition
    • Data Science & Questions
    • Data Science Types
  • 4
    Classification Models
    • Prediction Types [14 min]
    • Motivating Example [4 min]
    • Outputting Probabilities [8 min]
    • Classification Model Training [14 min]
  • 5
    Neural Networks And Deep Learning
    • Sidebar: About Pixels [9 min]
    • Neural Networks Introduction [12 min]
    • Neural Networks Definitions [9 min]
    • Deep Learning [6 min]
    • Neural Network Training [7 min]
    • Why the Word 'Neural' [7 min]
  • 6
    Other Topics
    • Learning Types [12 min]
  • 7
    Closing Note
    • Thank You! [1 min]
  • 8
    Citations And References
    • Consolidated Citations

Course Guidelines

  • Recommended Equipment:

    Most lessons use data tables and free-form writing. For the best viewing experience, please use computers or tablets.

  • Follow The Sequence:

    Some lessons make reference to previous videos. For best continuity, please follow the course in the prescribed sequence.

Meet Your Instructor

Suresh Kumar, Head of AI Solutions, Palo Alto Research Center

If I were to describe myself in one phrase,  TLC is my thing. Yes, Tender Loving Care too, but in this case, I am referring to Teaching - Learning - Coding. 

Teaching: My passion and ability for this will be evident when you go through my course. Teaching an introductory Computer Science course to non-computer science majors at the University of New Hampshire (UNH) shaped by teaching skills. I was one of the highest rated teachers (rated by students) during my time at UNH. 

Learning: I learn, therefore I am. But if credentials are a more objective measure of my learning prowess, I have an MBA from Stern School of Business, NYU; a Masters in Computer Science from the University of New Hampshire; a Bachelor’s in Engineering from Delhi University; and I am a Google Cloud certified Data Engineer. 

Coding: Coding is my meditation. Daily coding is a must for me. I started my professional career with coding, but even as my roles changed back and forth over the years, I always maintained my coding edge. Today, Python is my language of choice - well, may be with a side of SQL and JavaScript. 

I have enjoyed being an engineer, data engineer, AI consultant, architect (the tech kind), entrepreneur, and at times Financial Services domain expert, at companies such as Accenture, Atos Syntel, E*Trade, Goldman Sachs, JP Morgan, and NY Life, to name a few. I am currently the Head of AI Solutions for PARC, a Xerox company.

So why did I create this course? In my numerous interactions with people across industries and roles, I noticed an enormous gap in the deeper understanding of AI. I believe that I am uniquely positioned to help bridge that gap. I know you will agree with me as soon as you start the course!