Ep11: 4 Steps to Becoming an AI Engineer

Ever wondered how to transition into the AI engineering space or what skills truly matter in this fast-evolving field? In this episode of Data Neighbor Podcast, we sit down with Aishwarya Reganti, a Generative AI Tech Lead at Amazon's AWS, to dive into the essentials of AI engineering and separate the signal from the noise surrounding AI today. Aishwarya shares her journey from researcher to enterprise innovator and reveals: - AI Engineering practical tips, roadmaps, and myths busted. - How to get started with AI, whether you're a mid-career switcher or a recent graduate. - A clear roadmap of skills to master, including concepts like RAG, agents, and prompt engineering. - Practical advice for building AI projects that solve real problems and avoid unnecessary complexity. - How to stay focused amidst the overwhelming amount of AI content and buzzwords. Whether you're looking to break into the field, better understand the hype around AI, or learn how to apply AI concepts simply and effectively, this episode is packed with insights for you. - Links Mentioned in the Episode Aishwarya's Maven Course: https://lnkd.in/eiBx3Eaz DeepLearning.AI Free Courses: https://www.deeplearning.ai/ Tools Highlighted: NotebookLM, Claude, PotSmart, and more Follow Aishwarya: https://www.linkedin.com/in/areganti/ Connect with Hai, Sravya, and Shane (let us know the podcast platform sent you!): Hai: https://linkedin.openinapp.co/4qi1r Sravya: https://linkedin.openinapp.co/9be8c Shane: https://linkedin.openinapp.co/b02fe If you need personalized advice for your data science career roadmap, send us a message on LinkedIn or post a comment below! #ai #aiengineering #generativeai #artificialintelligence #techcareers #datascience #machinelearning #rag #promptengineering #techroadmap #careeradvice #innovation #aiprojects #techpodcast #dataneighbor #datapodcast #airoadmap #careeradvice #career #aiagents #finetuning

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