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JUNE 8TH 12:00 PM EST TO 4:00 PM EST




Coding for PMs Curriculum

This curriculum is designed to equip Project Managers (PMs) with the foundational knowledge of coding and how it applies to AI, while also demystifying virtual machines.


MONTH 1: Conquering Your Fear of Technology


Understand the benefits of basic coding knowledge for PMs.

Identify common anxieties around technology and strategies to overcome them.


Introduction to coding concepts (variables, data types, loops, functions)

Benefits of PMs understanding code (communication with developers, project estimation)

Strategies for overcoming fear of technology (growth mindset, starting small)


MONTH 2: Python for AI Models


Understand why Python is popular for AI development.

Learn basic Python syntax and write simple scripts.


Introduction to Python as a programming language

Setting up a Python development environment (installing Python and Visual Studio Code)

Basic Python programming concepts (variables, data types, operators, control flow)

Simple Python scripts for data manipulation (lists, dictionaries)


MONTH 3: Advanced Concepts in AI for Project Managers


Differentiate between open-source and closed-source AI.

Understand the implications of each type for project management.


Introduction to open-source vs. closed-source AI:

Open-source AI: Benefits (transparency, customization), challenges (maintenance)

Closed-source AI: Benefits (ease of use, support), challenges (vendor lock-in)

Considerations for PMs when choosing AI solutions (cost, licensing, development needs)


MONTH 4: The Mystery of Virtual Machines


Understand the concept and benefits of virtual machines.

Learn how to install Windows 11 Pro on a virtual machine (using a tool like Hyper-V).


Introduction to virtual machines (VMs): Simulating a computer within a computer

Benefits of using VMs (testing software, isolated environments)

Setting up a VM with Hyper-V (optional, consider alternative tools based on needs)

Installing Windows 11 Pro on a virtual machine (focusing on high-level steps)


MONTH 5: Scheduling for PMs


Learn effective scheduling techniques for project management.

Utilize tools and strategies to manage project timelines.



Project scheduling methodologies (e.g., Agile, Waterfall)

Tools for project scheduling (e.g., Gantt charts, project management software)

Techniques for estimating tasks and creating realistic timelines

Managing project scope creep and schedule changes


Additional Notes

Consider incorporating interactive exercises, coding challenges, and case studies relevant to AI and project management.

For courses on Python and setting up VMs, direct students to relevant online resources ([YouTube] tutorials, official documentation) instead of in-depth lectures.

Encourage collaboration and knowledge sharing among PMs in the course.


Coding for PMs Curriculum with Monthly Deliverables

This curriculum builds upon the previous structure and adds deliverables for each month-long course.


Course 1: Conquering Your Fear of Technology (Month 1)

Deliverable: Create a presentation outlining the benefits of basic coding knowledge for PMs and strategies to overcome fear of technology. This presentation could be targeted towards other PMs or stakeholders unfamiliar with coding.


Course 2: Python for AI Models (Month 2)

Week 1 Deliverable: Install Python and Visual Studio Code on your computer. Write a short Python script to greet the user by name and ask their favorite color.

Week 2 Deliverable: Write a Python script that calculates the area and perimeter of a rectangle based on user input (length and width).

Week 3 Deliverable: Write a Python script that creates a simple shopping list application. Allow users to add items, remove items, and view their list.

Week 4 Deliverable: Find a real-world example of an AI model used in project management and write a short report summarizing its function and benefits.


Course 3: Advanced Concepts in AI for Project Managers (Month 3)

Deliverable: Research and compare two open-source and two closed-source AI solutions relevant to project management. Create a table comparing their features, benefits, challenges, and licensing costs.

Deliverable (Optional): Choose one of the AI solutions you researched and develop a high-level project plan outlining the steps involved in implementing it for a specific project.


Course 4: The Mystery of Virtual Machines (Month 4)

Deliverable: Install a virtual machine software (e.g., VirtualBox, Hyper-V) on your computer. Set up a virtual machine with a different operating system (e.g., Linux) and explore its basic functionalities. Write a short report explaining the process and the benefits of using a virtual machine in your role as a PM.

Optional Deliverable: Install and test a simple software application (relevant to project management) on your virtual machine.


Course 5: Scheduling for PMs (Month 5)

Deliverable: Choose a project management methodology (e.g., Agile, Waterfall) and create a sample project schedule using a Gantt chart or project management software.

Deliverable: Research and compare two popular project management scheduling tools. Write a report outlining their features, ease of use, and suitability for different project types.

Additional Notes:

Encourage students to share their deliverables with the class for peer review and discussion.

Consider incorporating real-world project scenarios into the deliverables for increased relevance.

Adapt the difficulty and scope of deliverables based on the experience level of the PMs in the course.


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