The tutorials got you a chatbot. The certification asks for more.
The NVIDIA NCP-GENL exam tests whether you understand
generative AI at a professional level — not just the
concepts, but the engineering: how transformers work, how
LLMs are trained and fine-tuned, how inference is optimized,
and how NVIDIA's tools fit together from training to
production. This book is your preparation guide.
What this book covers:
Every domain on the exam blueprint — transformer
architecture, tokenization, scaling laws, distributed
training, fine-tuning (LoRA, QLoRA, P-Tuning, SFT),
alignment (RLHF, DPO), quantization (GPTQ, AWQ, FP8),
KV-cache optimization, the TensorRT-LLM + Triton stack,
NVIDIA NIM, GPU architecture, RAG pipelines, prompt
engineering, AI agents, evaluation benchmarks, and
responsible AI.
How this book works:
Every chapter opens with exam objectives and closes with
review questions. Callout boxes flag exam tips, NVIDIA
tooling, and concepts that matter beyond the test. A
full-length mock exam with detailed explanations gives you
a realistic dry run.
Who this book is for:
ML engineers, data scientists, AI developers, and
technical professionals preparing for the NCP-GENL
certification. Assumes Python proficiency, basic ML
knowledge, and some hands-on LLM experience.
The tools will change. The principles hold.
This book teaches both.
"synopsis" may belong to another edition of this title.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Paperback. Condition: new. Paperback. The tutorials got you a chatbot. The certification asks for more. The NVIDIA NCP-GENL exam tests whether you understandgenerative AI at a professional level - not just theconcepts, but the engineering: how transformers work, howLLMs are trained and fine-tuned, how inference is optimized, and how NVIDIA's tools fit together from training toproduction. This book is your preparation guide. What this book covers: Every domain on the exam blueprint - transformerarchitecture, tokenization, scaling laws, distributedtraining, fine-tuning (LoRA, QLoRA, P-Tuning, SFT), alignment (RLHF, DPO), quantization (GPTQ, AWQ, FP8), KV-cache optimization, the TensorRT-LLM + Triton stack, NVIDIA NIM, GPU architecture, RAG pipelines, promptengineering, AI agents, evaluation benchmarks, andresponsible AI. How this book works: Every chapter opens with exam objectives and closes withreview questions. Callout boxes flag exam tips, NVIDIAtooling, and concepts that matter beyond the test. Afull-length mock exam with detailed explanations gives youa realistic dry run. Who this book is for: ML engineers, data scientists, AI developers, andtechnical professionals preparing for the NCP-GENLcertification. Assumes Python proficiency, basic MLknowledge, and some hands-on LLM experience. The tools will change. The principles hold.This book teaches both. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798258480644
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Paperback. Condition: new. Paperback. The tutorials got you a chatbot. The certification asks for more. The NVIDIA NCP-GENL exam tests whether you understandgenerative AI at a professional level - not just theconcepts, but the engineering: how transformers work, howLLMs are trained and fine-tuned, how inference is optimized, and how NVIDIA's tools fit together from training toproduction. This book is your preparation guide. What this book covers: Every domain on the exam blueprint - transformerarchitecture, tokenization, scaling laws, distributedtraining, fine-tuning (LoRA, QLoRA, P-Tuning, SFT), alignment (RLHF, DPO), quantization (GPTQ, AWQ, FP8), KV-cache optimization, the TensorRT-LLM + Triton stack, NVIDIA NIM, GPU architecture, RAG pipelines, promptengineering, AI agents, evaluation benchmarks, andresponsible AI. How this book works: Every chapter opens with exam objectives and closes withreview questions. Callout boxes flag exam tips, NVIDIAtooling, and concepts that matter beyond the test. Afull-length mock exam with detailed explanations gives youa realistic dry run. Who this book is for: ML engineers, data scientists, AI developers, andtechnical professionals preparing for the NCP-GENLcertification. Assumes Python proficiency, basic MLknowledge, and some hands-on LLM experience. The tools will change. The principles hold.This book teaches both. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798258480644
Quantity: 1 available