Description
In this practical session, Saket Bansal demonstrates how project managers can use AI tools like ChatGPT, Gemini, and Google Colab to generate Python code and turn project data into useful outputs—without learning programming syntax.
You will see how AI-generated code can help create control charts, work breakdown structure visuals, and team member dashboards from project data files. The focus is not on becoming a Python developer, but on understanding how managers can use AI to automate repetitive analysis, protect confidential data, and guide teams toward smarter use of tools.
This session is especially useful for project managers, PMO professionals, business analysts, agile leaders, and anyone exploring practical AI use cases beyond simple prompting.
Key topics covered:
AI-generated Python code, Google Colab, control charts, WBS visualization, project dashboards, data analysis for project managers, low-code/no-code thinking, and AI for project management.
#AIForProjectManagers #ProjectManagement #PythonForPMs #GoogleColab #ChatGPT
00:00 Introduction: Why Project Managers Should Explore AI-Generated Code
02:38 Setting Up Google Colab and Creating Your First AI-Generated Python Code
08:58 Creating a Control Chart from Project Defect Data
25:44 Creating a Visual WBS Using AI-Generated Python
40:32 Building a Team Member Dashboard from Multiple Project Files
54:43 When to Use Python Code Instead of Direct AI Prompting