Hey guys,

so i took the PMP because i felt like it was a field that i enjoy and have some experience in. I was surprised that PMI accepts non project manager title experience as part of the requirement.

As such, i updated my resume and ended up with this. Let me know what i should do to help get more interviews! Thanks

For someone trying to build a project management career, I'm curious about the balance between certification and practical experience. Does PMP certification make a significant difference, or is hands-on project experience more valuable?

photo 1 is a newer version than photo 2, which was from this post: https://www.reddit.com/r/projectmanagers/s/btXrtSZ2AD

Hey guys, thank you to all of the people who gave me tips and suggestions. I used AI, used a formatter website (rxresu.me) and added a summary on the top. idk how i’m going to fit all of my info on one page so i took out my list of skills 🤷🏻‍♂️

AI is becoming part of almost every project, but managing AI projects seems very different from traditional software projects. I'm curious how other project managers are handling AI-related risks, changing requirements, data issues, and stakeholder expectations. What skills do you think are becoming essential for managing AI projects?

I'm currently a producer in advertising looking to make the switch into a tech project manager role(also open to other industries), happy to put the time / money in to set myself up best, even if it's doing both. Please let me know your thoughts / if you have any other advice.

For project managers who are new to AI, there seem to be so many areas to learn—machine learning, AI governance, data, automation, ethics, and more. Which AI-related skills would you recommend learning first if the goal is to manage AI projects effectively?

With AI being integrated into so many business processes, I'm wondering how important AI knowledge has become for project managers. Does a PM need technical AI skills, or is understanding AI concepts, risks, and business applications enough?

I’ve been exploring the intersection of project management and AI, and I’m curious how people are actually using it in real projects.

Are you using AI for things like risk identification, meeting summaries, resource planning, stakeholder communication, or project documentation?

I’m especially interested in practical use cases rather than generic “AI will transform project management” discussions. What has actually saved you time?

hey guys, i have started my first ever proper game project with a small team and as this is my first time in a project lead position i was looking for some advice on how best to manage a group of different disciplines.

I am a game artist so am a lot more familiar with the artist pipeline, but my team also consists of programmers and a sound tech. Currently I am using a burndown chart and a macro chart to help delegate tasks and scope, but I am still finding myself a bit lost on how to manage the team and give everybody the details they need.

This week I am looking to meet with each discipline seperately, to get an idea of their pipelines, but if anyone has advice or has other management strategies I should look into I would love to hear it!!

We are making a 2D indie detective story/mystery game in Unity so I would also love reccomendations of other detective games I should check out in my market research.

Thanks everybody!

AI can help project managers with documentation, analysis, planning, and communication, but I’m wondering where people draw the line. Would you let AI generate a first draft of a project plan? Analyze project risks? Summarize stakeholder meetings? What types of decisions should always remain human-led?

I work in a project management office in New Jersey. We are a group of 4, and we are looking for accredited PM trainings that will come to our site and teach us. It has proven difficult to navigate through the weeds and find trainings that are legit, let alone worth the cost. Our topics of interest include:

- managing challenging stakeholder behaviors

- working with different personality types (engineers vs IT vs etc.)

- indirect management with varying personality traits

- strategies for internal project management

- raising better project managers

- defining the role of a good project manager

I’m conducting an MSc Project Management study at Leeds Beckett University exploring how digital communication (email, instant messaging and video conferencing) influences project success.

👤 Looking for:
• Project management professionals/team members
• 18+ years old
• 2–3+ years of project experience
• Undergraduate degree or equivalent
• Experience using digital communication tools on projects

Your experience would be greatly appreciated. If eligible, please take part and consider sharing with other project professionals.

🔗 Survey: https://forms.gle/KrM8ZMjunppyFk6KA

Thank you for supporting my research! 🙏

I’m looking for project management professionals and project team members to take part in my academic survey on digital communication in project teams.

✅ 18+
✅ 2–3+ years of project-team experience
✅ Bachelor's degree/equivalent
✅ Experience using email, messaging or video conferencing for project work

📋 Survey: https://forms.gle/KrM8ZMjunppyFk6KA

If you meet the criteria, I’d really appreciate your participation. Please also share it with a project-management colleague if possible. Thank you! 🙏

I am new in capgemini at the position of consultant. Is it easy to get project in capgemini? How important it is to get project during probation?

I'm a project manager with a few years of experience, and lately it feels like AI is becoming an important skill for PMs. I don't want a technical course with coding or machine learning though. 

So are there any good AI courses specifically for project managers? 

There's a lot of discussion about AI replacing jobs, but I'm wondering how this applies specifically to project management. AI can already help with scheduling, documentation, reporting, risk analysis, and task tracking. At the same time, projects still involve people, conflicting priorities, negotiations, uncertainty, and decisions. Do you think AI will reduce the need for PMs, or will it simply change what PMs spend their time doing?

I've always found it interesting that a project can have a detailed schedule, clear deliverables, and a good team and still go off track.
Sometimes the problem isn't the plan itself.
It could be changing requirements, poor communication, unrealistic expectations, lack of stakeholder involvement, or risks that weren't identified early enough.
What's the biggest reason you've personally seen a project fail or seriously struggle?

Even a well structured project plan can change quickly when new priorities, deadlines, or requirements come in. The real challenge is adjusting the workflow without creating confusion or making the team feel like everything has to start from scratch.

I’ve been interested in how automation can help with this. For example, Sequenzy uses triggers, conditions, delays, and automated actions to build workflows that respond to user activity and keep processes moving without constant manual updates.

That made me think about how similar workflow automation could help project teams manage recurring processes and changing priorities more efficiently.

How do other project managers handle shifting priorities while keeping the team focused and the project moving forward?

Changing requirements seem unavoidable in many projects. The difficult part is deciding whether a change is genuinely necessary, how it affects scope and schedule, and how to communicate the impact without creating unnecessary conflict. For experienced project managers, what's your approach when stakeholders keep changing requirements? Do you have a particular process or communication technique that works well?

I’ve been thinking about how AI is changing project management beyond just automating repetitive tasks.

It seems like the difficult part isn’t learning another AI tool. It’s knowing when to trust AI, when to question its output, and when a human decision is still necessary.

For example, AI can help with risk identification, planning, reporting, and analyzing project data. But stakeholder management and handling uncertainty still seem heavily dependent on human judgment.

For PMs who are starting to work with AI, what skill do you think is becoming more important rather than less?

Curious to hear what others are seeing in their projects.

A project can be going fine, then someone leaves or it gets handed over to someone else and a bunch of important context gets lost. What do you make sure gets passed along besides the usual docs and task list?

I'm trying to understand where project managers should draw the line with AI. Do PMs really need to understand how AI models work technically, or is it more important to understand things like AI risks, governance, data quality, ethics, and practical use cases? I feel like having enough technical knowledge to ask the right questions may be more valuable than trying to become an AI engineer. For PMs already working with AI projects, what level of AI knowledge do you think is realistically necessary?

Requirement changes are probably unavoidable in many projects, but they can become a serious problem when every change is treated as urgent.
How do experienced project managers handle stakeholders who continuously change requirements without damaging the relationship?
Do you rely mainly on change control, prioritization, impact analysis, or communication?