Generative AI Learning Roadmap: From Absolute Beginner to Practioner [Part 1]

Mastering Generative AI: A Comprehensive Journey for Novices to Practitioners

Generative AI is one of the most active areas of AI nowadays not only in research but also in the industry due to its vast area of domains that it can be applied to. Embarking on a journey from absolute beginner to practitioner in Generative AI requires a structured and comprehensive learning roadmap. This article introduces the first part out of three of a meticulously crafted plan designed to navigate this learning trajectory.

Beginning with foundational elements in Phase 1, including Mathematics and Statistics, and Programming Fundamentals, the roadmap progresses into Phase 2, delving into Machine Learning Basics. This phase covers essential topics such as Machine Learning Fundamentals, Deep Learning Fundamentals, and the exploration of Machine Learning and Deep Learning Frameworks.

The overarching goal is to emphasize the significance of Generative AI and to guide learners through a systematic approach, ultimately enabling them to build practical Generative AI applications or start working in Generative AI research. 

This roadmap serves as a valuable resource for those aspiring to advance their skills from novice to proficient practitioner in the dynamic field of Generative AI.