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  • Format: ePub

Artificial Intelligence is the new gold rush. Every week, hundreds of boot camps and universities promise the same thing: "Become an AI/ML Engineer in 6 months and land a $200,000 job at Google or NVIDIA."
The reality is much harsher and far more interesting.
AI/ML engineering is not a short course. It's a rigorous engineering discipline that blends mathematics, computer science, and large-scale distributed systems. Success requires not just theory but hands-on experience: debugging CUDA errors at midnight, running multi-week training jobs, and managing expensive GPUs that crash…mehr

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Produktbeschreibung
Artificial Intelligence is the new gold rush. Every week, hundreds of boot camps and universities promise the same thing: "Become an AI/ML Engineer in 6 months and land a $200,000 job at Google or NVIDIA."

The reality is much harsher and far more interesting.

AI/ML engineering is not a short course. It's a rigorous engineering discipline that blends mathematics, computer science, and large-scale distributed systems. Success requires not just theory but hands-on experience: debugging CUDA errors at midnight, running multi-week training jobs, and managing expensive GPUs that crash unpredictably.

This handbook was written to bridge the gap between what's marketed and what's required. It is not a motivational book; it is a field manual based on years of practical experience in engineering, architecture, and experimentation.

You'll find three things here:

Clarity what real AI/ML engineers actually do.

Direction how to progress from beginner to practitioner.

Truth why 90% of courses don't prepare you for real work.

By the end of the book, you will know what it truly takes to move from AI enthusiast to AI engineer.


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Autorenporträt
Chinmoy Mukherjee is the first Indian to author 100+ books in English, which includes 50+ Novellas. He has been working as solution architect for past 15 years. Over the past 25 years, he has contributed to 50 real-world software projects as an individual contributor. His experience has enabled him to design, develop, and deploy some of the most complex systems, handling millions of transactions per day. As both an AWS and GCP-certified architect, he has not only built 8 systems from scratch but has also successfully re-engineered 7 legacy systems, improving their performance by 1530%.

His expertise in cybersecurity has led to incredible discoveriessome thrilling, some frustrating. He was listed among the top 100 security researchers in the world for Microsoft (Q4, 2022) and also in Google's Hall of Fame. He ethically hacked Baba Bank, retrieving its entire customer database, and even achieved remote code execution in JPMC & Solana. Over time, he has reported critical vulnerabilities to 50+ Australian companies and received bug bounties from Uber, Apple, Mastercard, Octopus Australia, MagicLeap, and Paysafe. One of his wildest exploits? He found a vulnerability that let him order a Porsche without payingonly to receive a meager $1050 bounty for the discovery.

His penchant for testing boundaries made him the first engineer among 500,000 in HCLTech to complete and download all 1,000 offered certificates. In the industry, he played a critical role in defeating Infosys in 3 major RFPs while being part of underdog teams. Beyond corporate challenges, he took the lead in India's first blockchain token deployment, successfully developing and listing tokens on the Ethereum network.

Innovation has been central to his career. He holds 3 patents, granted in the USA and Australia. Among them, he developed "Patient Analytics," a patented system that underwent successful clinical trials in India. He has published a technical book titled "Build Android-Based Smart Applications" via Springer. This book has been downloaded by 18000+ software professionals from single channel of Springer.