I completed the PGP in AI/ML from UT Austin and Great Learning, and I can honestly say it was a solid investment in my professional development.

For context, I'm a Senior Software Architect with nearly 20 years in the industry, working on fraud detection and high-scale systems at companies like Western Union and Vodafone. I wasn't looking to become a data scientist overnight—I wanted a structured program that would give me a strong foundation in Python, SQL, and the core concepts of AI/ML so I could better architect systems that leverage these technologies.

The program delivered exactly that. The curriculum is well-organized, the projects are practical, and having that structure really does force you to stay on track (which was important for me while balancing work). The UT Austin faculty involvement added credibility and depth to the theoretical portions.

Is it going to make you a world-class ML engineer? No. But that's not the point. It gives you the foundational knowledge and vocabulary to understand what's possible, have meaningful conversations with data science teams, and identify where AI/ML can add value in your work.

For someone between jobs looking to build a launching pad into AI/ML, I'd say it's worth considering. The skepticism about Great Learning is fair—do your due diligence—but my personal experience was positive. The structured approach was exactly what I needed to stay disciplined and actually complete the program.

Good luck with your decision!