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Episode 47 — Building a Career in AI — Roles and Skills
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AI is not just changing industries; it is also shaping careers. This episode explores the landscape of professional roles, from data scientists and machine learning engineers to AI ethics specialists and policy advisors. We cover the technical skills needed, including programming, statistics, linear algebra, and deep learning frameworks, as well as non-technical skills like communication, interdisciplinary collaboration, and ethical reasoning. Case studies illustrate career paths in healthcare, finance, and government where AI expertise is in high demand.
We also examine strategies for building and sustaining a career. Graduate programs, certifications, and bootcamps are discussed alongside self-study, open-source contributions, and competitions like Kaggle. Building a portfolio, networking, and mentorship are presented as key to advancing in the field. Challenges such as rapid technological change, global competition for talent, and balancing technical skills with ethical awareness are also addressed. By the end, listeners will understand that a career in AI is diverse, dynamic, and accessible to learners from multiple backgrounds — provided they commit to continuous learning. Produced by BareMetalCyber.com, where you’ll find more cyber prepcasts, books, and information to strengthen your certification path.
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