BECOME AN AI ENGINEER: A Practical Roadmap to Machine Learning, LLMs, RAG, Agents, Portfolio Projects, and Engineer Interviews

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Bol Artificial Intelligence is creating unprecedented career opportunities-but knowing where to start can be overwhelming.This practical roadmap is designed for aspiring AI Engineers who want to build real-world skills, create an impressive portfolio, and prepare for technical interviews.Learn the foundations of Machine Learning, Deep Learning, LLMs, RAG, AI Agents, and modern AI deployment while building hands-on projects that demonstrate your abilities. Along the way, you'll gain the knowledge needed to discuss key concepts with confidence and succeed in AI Engineer interviews.Whether you're a software developer, computer science student, data analyst, or self-taught learner, this book provides a structured path from fundamentals to production-ready AI applications.Build. Deploy. Interview. Get hired.

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Artificial Intelligence is creating unprecedented career opportunities-but knowing where to start can be overwhelming.This practical roadmap is designed for aspiring AI Engineers who want to build real-world skills, create an impressive portfolio, and prepare for technical interviews.Learn the foundations of Machine Learning, Deep Learning, LLMs, RAG, AI Agents, and modern AI deployment while building hands-on projects that demonstrate your abilities. Along the way, you'll gain the knowledge needed to discuss key concepts with confidence and succeed in AI Engineer interviews.Whether you're a software developer, computer science student, data analyst, or self-taught learner, this book provides a structured path from fundamentals to production-ready AI applications.Build. Deploy. Interview. Get hired.

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Pages: 355, Paperback, Independently published


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Merk Independently Published
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  • 9798181744660
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