Welcome to the teaching team! Here's where you can find all the materials you'll need to teach in this course. Your feedback and contribution are highly appreciated to improve the content further.

Key Resources

Further Material

• GitHub Repo with Notebooks from ReDI Berlin and GitHub Repo from Hamburg - Feel free to reuse the material. If you use the material please add it to the Google Drive folder so that we keep all material in one place.

How do I update material?

We are aware that the material is not perfect. Probably you would like to change and improve it! Please do so! As the session owner, you can structure the session as you wish. The existing material is a suggestion. By changing the material, you help us improve the content. Here is an explanation of how to change it:

1. Google Drive - Add or change material on Google Drive - To access Google Drive content, you need to be enrolled in the Google Classroom. If you are not, ask your Course Manager.

2. Gitbook - Your changes are also highly welcome in the Student Hub Gitbook. Get editor access to Gitbook to make changes to the student hub. Please ask your course manager about it.

How do I share material with students?

We use Google Classroom to share material with the students. Please have a look here:

How do I create more engagement in class?

Best practices for teaching?

More material, feedback, or ideas?

If you find good material, ReDI could use, and if you have feedback or further ideas, feel free to contact us via Slack or email (dcp@redi-school.org).

Teaching Method: I Do, We Do, You Do

The "I Do, We Do, You Do" method is a teaching method designed to help students learn new concepts by first observing, then practicing with guidance, and finally working independently.

• I Do: The teacher demonstrates the task while explaining the steps and thought process aloud. This stage is about modeling the correct way to approach the task and highlighting key concepts and techniques.

• We Do: The session owner walks the students through an activity. The students follow along (code or design along). This collaborative stage allows students to apply what they've seen with support, ask questions, and receive immediate feedback.

• You Do: Students work independently on the task. This stage allows them to practice the skill on their own.

Example: Introducing Javascript

• I Do: The teacher introduces JavaScript and demonstrates a simple script that shows an alert when clicking a button. Key concepts like variables, functions, and events are explained briefly.

• We Do: The teacher walks the students through creating a function that changes a heading's color when clicking a button. The students follow and code along. The teacher shares their screen and gives the students time to code along. Together, the teacher and the students write the function, select the element, and add an event listener, with the teacher guiding and asking questions to engage students.

• You Do: Students independently write JavaScript to change the text of a paragraph when a button is clicked in a breakout room. They practice using variables, functions, and event listeners and then share their work for feedback.

Tips and Tricks

• Context before content - We experienced that explaining why a concept is important helps a lot in understanding what the concept is about. Why should you learn this concept? Try to give the context. Maybe explain where you use it in your daily work life. Or explain how this concept can help to solve a bigger problem

• Engage with Students: Ask questions to check understanding. Use their names and keep the tone friendly and encouraging.

• Be Prepared but Flexible: Have a plan but adapt based on student needs.

• Feedback is Key: Provide constructive feedback to help students improve. Celebrate small wins to keep motivation high.

More Resources

• Watch this video on how to run the Regular Class.

• Ice Breakers and Energizers - Do you want to start the session with an energizer? Have a look at Class Engagement

🌟 Final Project Phase

The Final Project is the highlight of the Machine Learning & AI course and a powerful opportunity for learners to apply what they’ve learned to a real-world dataset or problem. This phase challenges students to build, train, and evaluate machine learning models—while telling a compelling story about their findings.

🚀 About the Project Phase

After completing the main curriculum, students transition into the final project phase, where they work in small teams to explore a machine learning problem from end to end.

Learners will:

• Work individually or in teams (up to 3 people)

• Select a dataset or receive one from the teaching team

• Define a clear machine learning goal

• Clean and preprocess the data

• Train, evaluate, and interpret ML models

• Present findings in a clear and insightful way

💡 Goal: Build a small, focused machine learning project that shows off practical understanding and supports portfolio or career goals.

🧑‍💻 Project Requirements

Each project must include:

• A defined machine learning objective (e.g. classification, regression, clustering)

• A well-documented Jupyter Notebook or py files

• Use of libraries such as scikit-learn, pandas, and matplotlib/seaborn

• A final presentation with a summary of methods, results, and learnings

💡 Project Ideas

Students are encouraged to explore topics they’re passionate about. Possible ideas include:

• Predicting loan approval or credit risk

• Classifying text reviews or news articles

• Predicting house prices or stock trends

• Clustering customer behavior patterns

• Any dataset that is realistic in scope and allows for meaningful ML application

📂 Prior Projects

Need inspiration? Take a look at these projects from previous semesters:

• Winter 2024 – ML & AI Final Projects

📅 Timeline (Spring 2025)

📌 Attendance and presentation in the Class Demo Day are required for students to receive a certificate.

🎤 Class Demo Day

The Class Demo Day is a supportive, internal event where students present their projects to classmates and the teaching team. The goal is to:

• Practice presenting technical results

• Receive peer and instructor feedback

• Reflect on the ML process and learnings

• Celebrate collaboration and growth

🎉 Official Demo Day

The Official Demo Day is an on-site event where selected student teams present their projects to the wider ReDI community, including partners and alumni.

• It highlights projects across all tracks

• Teams selected to present will receive mentoring to prepare

🗣️ Presentation Guidelines

To help learners prepare their pitch, here’s a suggested format:

• Length: Max. 5 minutes

• Mode: Slides and or Jupyter Notebook walkthrough

Proposed Structure:

1. Intro – What’s the project, and what problem does it solve?

2. Demo – Show the live demo (notebook, code, visuals)

3. Challenges & Learning – What went well? What was hard? What did you learn?

🧾 Certification Requirements

To receive a ReDI certificate, learners must:

• Attend at least 80% of the course

• Participate in 2 Career Workshops

• Complete and present a Final Project

• Attend the Internal Class Demo Day

• Complete 2 IBM SkillsBuild Courses

🤝 Class Culture & Support

💬 “We grow by doing, and by helping each other.”

• Encourage an open, collaborative environment

• Use class time for mentoring, troubleshooting, and peer feedback

• Support teams with check-ins and technical coaching

Project Phase - Guidelines

Project Session Tips

Let’s celebrate the end of the semester together 🎉