IBM AI Project Manager
A strategic command center for AI product leadership—blending generative AI mastery, prompt engineering, product lifecycle orchestration, and commercialization. From idea to impact, built on IBM’s Professional Certificate.
Self-Reflection: From Prompt to Product
The more I learn, the more I realise that LLMs aren’t just tools—they act more like teammates. And someone has to lead the team. Its an interesting mental shift from “Wow, this generates content/image!” to “How can I ship value at scale?” - IBM’s AI Project Management delivered the full-stack playbook.
| Course | Key Takeaway |
|---|---|
| Product Management Foundations | Stakeholder mapping, MVP definition, success metrics |
| AI Product Strategy & Planning | Vision → backlog → sprint zero |
| Generative AI: Intro & Applications | From GANs to LLMs—when to use what |
| Prompt Engineering Basics | Chain-of-Thought, Interview Pattern, precision prompting |
| Foundation Models & Platforms | OpenAI, Anthropic, IBM watsonx—deployment trade-offs |
| Building AI-Powered Products | Hands-on: DALL·E image gen, ChatGPT workflow automation |
| Supercharge Your PM Career with GenAI | AI as co-pilot in roadmapping, user research, A/B testing |
This course didn’t just teach prompts, it was helpful in teaching how to productize intelligence which is such an interesting way of leveraging knowledge.
Why AI Product Management you ask?
From my perspective, AI doesn’t disrupt industries - Products do. And harnessing through understanding the potential usecase; not only in a generative way, but in a product management way could potentailly increase productivity to build a product.
Do view my full Project Management Certificates