No-Code AI for Business
Complex program dedicated to analyzing and extracting insights from the data using No-Code and AI tools
No-Code AI for Business
Program Overview:
It’s okay when people make mistakes. It is not okay when these mistakes are damaging the business. To prevent errors and losses, there are No-Code AI tools. And to learn how to work with them, our program exists.
During the training, you will master No-Code AI tools that will help you get more insights from data without involving data scientists or analysts. Afterward, you will be able to build correct revenue forecasts, plan expenses, and analyze customer behavior.
Learning outcomes:
Requirements for participants
Educational Modules:
Workshop 1. AI 101
Learn the basic principles of artificial intelligence and machine learning. Understand how to formulate a correct request for AI and organize the business intelligence process (CRISP/DM). Run your first algorithm.
Practical session:- Predicting the value of a house
Workshop 2. Step into data with regressions
Explore a set of machine learning algorithms. Learn how to forecast costs, trends, and fraud probability using regressions and ML.
Practical session:- Predicting medical expenses using regressions
Workshop 3: Get better data faster
Understand how the type and structure of data in a dataset affect the quality of results. Learn how to apply GenAi Python to expand your data processing capabilities.
Practical session:- Automation of data analysis
Workshop 4. Predict outcomes
Explore the classification of abstract classes and classification models needed to determine the influence of factors and make forecasts. Figure out the kind of data you need to use to train a mathematical model for more precise results.
Practical session:- Predicting fraud in insurance claims
Workshop 5: Cluster your data and predict trends
Understand the basic principles of clustering. Learn how to visualize groups and clusters using clustering and forecast trends using time series.
Practical session:- 1. Clustering customers by credit card types for further marketing activities
- 2. Sales forecasting - income for the coming months
Workshop 6: Leadership and Ethics in AI
Learn how to lead projects involving AI technologies. Explore the main ethical principles and anti-cases of working with AI.
Practical session:- Analyzing anti-cases of Amazon, the Northpointe, and Watson.
Tutor
Gauthier Vasseur
Data analytics, AI, and digital transformation expert. Executive Director at Berkeley Fisher Center; CEO and Founder – Data Wise Academy; Founder and Co-President – Alliance for Inclusive AI.
His leadership experience includes both large tech-enterprises (Google, Oracle, Hyperion) and startups, Series A, and Pre-IPO companies (Semarchy, Trufa, TriNet).
Nowadays, Gauthier teaches at Berkeley and Stanford and is also adjunct lecturer at SET University, Kyiv.
Gauthier is also the author of the book “Devenez un Data Pionnier,” a must-read book for those who learn analytics.
Вenefits
Work on real cases from various industries (construction, e-com, medicine, insurance)
Cases for diverse challenges (fraud prevention, customer clustering, data auto-verification, predictive models)
Complex program with a focus on practice and handling real business cases
Adaptive online learning – can be combined with full-time work
Work in groups with constant feedback from the lecturer
Online workshops with homework analysis
For Whom?
Entrepreneurs who operate their business and have data to analyze
Managers who are responsible for the result and monetization of projects
Marketers, analysts, and other professionals who work with data and want to get more out of it
Product managers
FAQ
Is coding skills required?
No. Coding skills are not required, but an understanding of how to build processes is necessary.
Will there be a course project within the course?
No, but there will be a lot of practical tasks with feedback.
Will I work with my own case?
No, you will work with open data and ready-made business cases. However, you can quickly adapt the approach to working with data to the needs of your business.
Does the university provide access to data tools?
Yes, we provide access to these tools. They are free for students and will remain with them after graduation.
