[Discussion] Dr. Jules White’s Coursera Prompt Engineering Specialization vs. a Tool like Prompt Perfect for a practical role?

I'm at a crossroads and would really value the community's input on the best path forward for skilling up in prompt engineering for my specific career needs.

My Context:

• My day-to-day involves being a Salesforce Administrator and a Power BI user. This means I'm constantly working with data, and I'm looking to fully leverage LLMs to be more efficient and effective in my role.
• I'm aiming to use LLMs for tasks like generating reports, analyzing data, and automating certain workflows.

The Dilemma:

I'm trying to decide between two approaches:

1. Deep Dive with Structured Learning: Enrolling in Dr. Jules White's "Prompt Engineering Specialization" on Coursera. This seems like a comprehensive way to build a foundational understanding of prompt engineering from an expert. The hands-on exercises could be very beneficial.
2. Efficiency with a Specialized Tool: Using a prompt enhancement tool like Prompt Perfect. The appeal here is the potential for immediate improvements in my LLM outputs without a significant time investment. Features like prompt optimization and multi-model support are very attractive for my practical needs.

My Core Question:

For someone in a role like mine, is the four-week time commitment for the Coursera specialization a worthwhile investment? Or can I get the results I need to enhance my work in Salesforce and Power BI by mastering a tool like Prompt Perfect?

I'm particularly interested in hearing from:

• Anyone who has taken Dr. White's course: What were your key takeaways, and how have you applied them?
• Regular users of Prompt Perfect or similar tools: How has it impacted your workflow and the quality of your LLM outputs?
• Professionals in data-heavy roles: How have you successfully integrated prompt engineering into your work?

Thanks in advance for your insights!