Python

Python for Professional Women: Career-Focused Coding Bootcamp

Ready to add Python programming to your professional toolkit? Our intensive 4-week bootcamp is designed specifically for working women who want to leverage coding skills to advance their careers, increase their earning potential, and open doors to new opportunities. Join our welcoming, hands-on introduction to Python—no prior programming experience needed!

What you will learn

We meet just once a week for two hours, making it easy to fit into your busy schedule. You’ll quickly discover how coding can save you time, help you solve real-world problems, and open doors in your career—whether you work in business, data, education, administration, or another field.

What’s included:

• Program fee: 70 EUR
• 8 hours of expert instruction
• Personalized AI coding assistance
• Professional portfolio development
• Career transition guidance
• 6 months of alumni network access

Duration: 4 weeks:

• Schedule: Weekly 2-hour sessions online via Zoom or Google Meet
• Format: Interactive online sessions with hands-on coding
• Class Size: Limited to 13 participants for personalized attention
• Materials: All software and resources provided

What you will get

This curriculum is designed to empower absolute beginners by framing Python as a practical tool for solving real-world business problems. Each session builds upon the last, moving from basic concepts to creating reusable tools, with a core focus on integrating AI assistants (like Gemini or Copilot) as a modern workflow partner for learning, coding, and refinement.

Session 1: The Foundation - Your First Automation

Key Python Topics:

* Variables (storing business data like names, dates, or sales figures).
* Data Types (Strings, Integers, Floats).
* print() function for seeing immediate results.
* F-strings for creating dynamic text.

Practical Project: An "Automated Email Snippet" generator. The script will combine 
variables like a client's name, project title, and meeting date into a standard email
body.
AI Assistant Integration:
Content Refinement: Use the AI to "proofread" or "rephrase this text into a more formal 
tone," demonstrating AI's value in polishing work.

Session 2: Making Decisions with Code

Key Python Topics:

    * input() to get information from the user.
    * Conditional Logic (if, elif, else) to make decisions.
    * Comparison Operators (==, >, <) to compare data.

Practical Project: A "Task Prioritization" tool. The script asks for a task's urgency and importance, then uses if/else logic to suggest whether to "Do it now," "Schedule it," or "Delegate it."

AI Assistant Integration:
Code Generation: Prompt the AI to "write a Python if statement to check if urgency is 
greater than 3," showing how to generate boilerplate code.
Code Explanation: Highlight a code block and ask the AI to "explain this code," teaching 
students how to use AI for self-learning.

Session 3: Handling Repetitive Tasks

Key Python Topics:

* Lists to store multiple items (e.g., a list of filenames or customer names).
* for Loops to perform an action on every item in a list.

Practical Project: A "Bulk Data Processor." Create a list of sample data (e.g., report files 
    ['Q1-report.docx', 'Q2-report.docx']) and use a for loop to generate a new, standardized 
    name for each one, printing the result.

AI Assistant Integration:

Generating Sample Data: Ask the AI to "generate a Python list of 10 sample product IDs,"
showcasing its use as a productivity tool.
Code Refactoring: Give the AI a working loop and ask, "add comments to this code" or
"can you refactor this?," introducing the concept of code improvement.

Session 4: Creating Reusable Tools

Key Python Topics:

* Functions (def) to organize code into logical, reusable blocks.
* Passing arguments to functions.
* import to bring in pre-built Python functionality.

Practical Project: Convert the "Task Prioritization" logic from Session 2 into a reusable
function. Show how this function can be called multiple times without rewriting the code.

AI Assistant Integration:
Debugging: Intentionally create an error and use the AI to help identify and fix it. 
Paste an
error message and ask, "What does this error mean and how do I fix it?"
Writing Documentation: Prompt the AI to "write a docstring for this function,"
demonstrating how to create professional, well-documented code.

Your Teacher

“Hello everyone, my name is Mono and I am a software developer at Berenberg. I have been building software for over 11 years now, and it is still something I am very passionate about. I am excited to be teaching this course and sharing some of the things I have learned along the way. I believe that coding is an incredibly valuable skill, and I am eager to help you all develop your own abilities in this area.”

Success Stories

“Within 2 months of completing the program, I automated our monthly reporting process and was able to increase the value I brought to the team.” - Sarah M., Marketing Manager

“The confidence I gained from this course helped me transition from administrative work to a business analyst role. The AI tools we learned are game-changers.” - Maria L., Business Analyst

Ready to Start Your Tech Journey?

Our next class starts September 8th! Limited Spots Available - Reserve Yours Today!