Artificial Intelligence: Practical Essentials for Management

Why this course: Most AI initiatives in organizations fail today not because of a lack of good AI solutions but because of a lack of understanding of AI among the managers - the end users, decision makers and investors in AI. Recruiters & Executives are struggling to find business professionals with a practical understanding of AI. This course is designed specifically to teach current and future managers all that they need to know to lead and manage AI use, without having to code and build AI models. You will: 

1) Learn both technical & managerial aspects of AI 

2) Identify the right AI solution & learn rare managerial frameworks to lead AI journeys successfully in an organization.

3) Get recognized in the use and management of AI/ML/DL by getting certified.

4) Gain competitive advantage in a hiring process or at work by being AI ready.

What this course covers:

1. What is AI, Machine Learning & Deep Learning, and how are they different from BI

2. 7 Principles of an AI Journey

3. How to decide whether a problem needs AI at all

4. If AI is needed, how to become data ready – Tuscane© Approach

5. Once ready, how to decide whether to build or buy a solution as well as what the risks really are with doing AI incorrectly – Fab-4© Model

6. How to tell whether a software uses AI, or what kind of AI it uses

7. How to differentiate powerful AI solutions from weaker ones 

8. How to determine which AI technique(s) can solve your specific business or organizational problem 

9. How AI analyzes different types of information, how it makes predictions, how it recognizes images, how it communicates with your customers, or how a robot learns to behave like humans! This will involve some of the most popular Machine Learning and Deep Learning techniques that are being used today: Classification, Regression, Decision Trees, Ensemble Learning, Clustering, Association Rules, Search Algorithm, Reinforcement Learning, Natural Language Processing, ANN & CNN

10. How to measure AI’s performance with a 4-step approach

11. How to get others to use it in the organization 

12. How to implement it successfully so that you don't waste thousands of dollars and hours of effort 

13. How to estimate the financial value of an AI solution

14. Best Practices to formulate an AI strategy

15. 7 Principles of Human-AI Work Policy Framing

16. How to minimize risks associated with AI for an individual and the organization

Ideal for: The classes have been designed to provide in-depth practical knowledge on AI, Machine Learning & Deep Learning if you:

1) Are interested in AI/ML/DL to advance your careers or to use it effectively to accomplish tasks at work

2) Have limited time but would like to get a thorough managerial understanding of AI/ML/DL

3) Do not need or are not interested in learning how to code AI/ML/DL

Bonus: At the end of each lesson, you will also get access to reports on some of the amazing & scary ways in which AI is being applied on you. I'll be updating the course with newer articles as and when they appear, which you will have free lifetime access to.

Special Thanks: Wife, Partner & Creative Support, Pooja Chitnis.

Cover Image by 宗文 李 from Pixabay.