Beginner course
Executive Briefing: Artificial Intelligence (AI) + ChatGPT
Artificial Intelligence (AI) for Executives and Top-Level Managers: understand Artificial Intelligence in under 2 Hours
Beginner
Course facts
- Last updated 09/2025
- English English [Auto], Arabic [Auto] , 28 more
- Instructor: Kirill Eremenko, SuperDataScience Team, Ligency
- practical AI capability and workflow improvement
What you'll learn
Practical outcomes
- Artificial Intelligence (AI) from a birds-eye view
- Get ideas how to apply Artificial Intelligence in your Business
- See how other companies are applying Artificial Intelligence already today
Curriculum
8 sections • 42 lectures • 2h 4m total length
Introduction2 lectures • 2min
- How This Course Is Structured01:31
- Prizes $$ for Learning00:10
GenAI (Generative AI)7 lectures • 20min
- Introduction [Updated]01:03
- What is Unstructured Data?01:38
- What are Large Language Models (LLMs) ? [Updated]01:43
- How does GenAI work? [Updated]02:34
- What makes GenAI so special?01:46
- Applications of GenAI [Updated]02:35
- 10 Case Studies - with Real Results [Updated]08:43
Computer Vision (CV)6 lectures • 22min
- Introduction01:39
- What is Computer Vision?01:46
- How Does Computer Vision work?03:00
- Tomato Sorting Example02:39
- Applications of Computer Vision03:19
- 10 Case Studies - with Real Results09:10
Deep Learning (DL)6 lectures • 23min
- Introduction01:17
- What is Deep Learning?04:37
- Building Neural Networks02:08
- How Neural Networks Learn (Advanced Topic)03:45
- Deep Learning and other areas of AI02:01
- 10 Case Studies - with Real Results09:06
Reinforcement Learning (RL)6 lectures • 22min
- Introduction01:30
- What is Reinforcement Learning?02:44
- Reinforcement Learning in Humans01:43
- Advantages of Reinforcement Learning03:30
- RL in Marketing: 5 Applications04:24
- 10 Case Studies - with Real Results08:17
Robotics Process Automation (RPA)5 lectures • 18min
- Introduction01:30
- What is RPA?03:16
- Benefits03:24
- Risks04:30
- 10 Case Studies - with Real Results04:50
Machine Learning (ML)8 lectures • 16min
- What is Machine Learning?02:28
- ML Section Playbook00:02
- How Machine Learning helps Businesses01:40
- What is Regression?02:06
- What is Classification?02:11
- What is Clustering?02:07
- What is Association Rule Learning?02:08
- 8 Case Studies - with Real Results03:39
Congratulations!! Don't forget your Prize :)2 lectures • 3min
- Huge Congrats for completing the challenge!01:47
- Bonus Lecture00:44
Who it is for
- Executives, Directors, Senior Managers, Founders, Entrepreneurs
Course description
Overview
Artificial Intelligence is an extremely powerful exponential technology which is used in applications ranging from Maximizing Advertising ROI and Chatbots to Self-Driving Cars and Automatic Crop Harvesting. In this short, Executive Briefing course, you will get a bird’s eye view of the field of Artificial Intelligence, understand how it works and why it’s one of the most disruptive technologies which has potential to add massive value to your business. This course is comprised of 7 main sections which cover 7 of the most disruptive technologies in Artificial Intelligences right now: Computer Vision Deep Learning Reinforcement Learning Natural Language Processing Robotic Process Automation Machine Learning GenAI (Generative AI) Each section will start with an short introduction, then we will dive into specifics of the particular technology (usually between 2 and 3 videos). Finally, at the end of every section we will look at 10 use-cases of that technology being applied in businesses to add massive value already today. Here we are after the real results, the numbers – so we can get a feel for what each technology can do for our businesses. Excited? Then come on in, and let’s tackle Artificial Intelligence! PS: You will also get a great ChatGPT Prize and some nice AI cheatsheets at the end of the course.
Instructor
Kirill Eremenko, SuperDataScience Team, Ligency
Kirill Eremenko DS & AI Instructor My name is Kirill Eremenko and I am super-psyched that you are reading this! Professionally, I come from the Data Science consulting space with experience in finance, retail, transport and other industries. I was trained by the best analytics mentors at Deloitte Australia and since starting on Udemy I have passed on my knowledge to thousands of aspiring data scientists. From my courses you will straight away notice how I combine my real-life experience and academic background in Physics and Mathematics to deliver professional step-by-step coaching in the space of Data Science. One of the strongest sides of my teaching style is that I focus on intuitive explanations, so you can be sure that you will truly understand even the most complex topics. To sum up, I am absolutely and utterly passionate about Data Science and I am looking forward to sharing my passion and knowledge with you!
