Rajiv Shah helps AI teams build the right thing

This is a timely and valuable course worthy or your time and expense. The Domain Specific Checklists alone justify it because you can use them immediately in your work. I especially appreciated Lessons 3 & 4, which lie at the heart of the course. While the course covers the landscape of AI problem types, learners with some pre-existing familiarity with applied AI will benefit the most. You don't need to be a practitioner, but you don't want this to be your first exposure to the material. We are all becoming AI managers, which means our decision-making skills are our most valuable (and marketable) skills. This course hones those within the context of applied AI, which makes it particularly relevant for AI practitioners and decision-makers.

My attitude to AI projects has completely transformed as a result of this training. It stresses defining the proper problem rather than concentrating on models first, which is, as I now understand, where most AI initiatives fall short. Particularly useful is the "Loop" architecture, which offers an organized and transparent method for defining issues, weighing trade-offs, and agreeing on success measures prior to doing anything. The teachings are further made applicable and practical by the real-world case studies. All things considered, this course is perfect for anyone who wish to approach AI more strategically rather than only creating models.

Rajiv brings rigor and relevance together, while avoiding the AI hype and focuses the course on helping you frame problems in a way that make them suitable for agents and then evaluating performance and also deciding when to discontinue projects. Strongly recommend.

Rajiv is an excellent instructor who's meticulous & thoughtful in his course design. His content is approachable from all skill levels, offering something for the newer entrants & seasoned pros alike. I found the AI Problem Framing series incredibly insightful for my own professional work, helping me approach operational & technical challenges at my job under a new lens. I thought the sections related to selecting the right tech/model type for the right problem (vs. treating everything an LLM like a magic wand to solve for everything) was really helpful in not only making me aware of alternative approaches but in helping me make this a repeatable part of project work going forward. I'd highly recommend this course to anyone interested in how they can better start applying ML & AI to their work (or even personal) projects!

No matter what your experience level is, this is a great overview for anyone working in the space of applied AI.