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Breaking into AI: The Ultimate Interview Playbook - Paperback

$71.98 USD
$71.98 USD
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Breaking into AI: The Ultimate Interview Playbook - Paperback
Breaking into AI: The Ultimate Interview Playbook - Paperback
Breaking into AI: The Ultimate Interview Playbook - Paperback
$71.98/ea
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Product Description

by Rath Shetty (Author)

Are you ready to land your dream job in AI, ML, or LLM at top tech companies like Google, OpenAI, Meta, and Microsoft? Breaking into AI: The Ultimate Interview Playbook is your definitive guide to acing these challenging interviews. This comprehensive resource walks you through everything you need to succeed, from mastering foundational concepts in AI/ML to tackling real-world coding challenges and case studies. Whether you're a student, an early-career professional, or an experienced engineer, this playbook is designed to empower you with the skills, strategies, and confidence to excel. What You'll Learn: Key AI/ML concepts like neural networks, transformers, and reinforcement learning. Advanced LLM topics, including fine-tuning and deployment strategies. Real-world coding challenges with step-by-step solutions. Proven frameworks for system design interviews. Strategies for behavioral interviews and presenting your AI/ML projects effectively. Why This Book? Written by Rath Shetty, a seasoned engineering leader with over 20 years of experience at Amazon, Uber, Intel, and Microsoft, and the Founder of RoboLex(R), this book combines technical depth with practical insights. Rath brings a unique perspective on what top tech companies look for, equipping you with the tools to stand out. From solving algorithmic puzzles to understanding industry-specific applications of AI, this playbook ensures you're prepared for every aspect of the interview process. With Breaking into AI, you'll gain the edge needed to break into one of the most exciting fields of our time. Get ready to unlock your potential and take the first step toward a successful career in AI!

Number of Pages: 452
Dimensions: 0.91 x 11 x 8.5 IN
Publication Date: December 24, 2024
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