Nvidia-Certified Associate: Generative Ai And Llms Cert Prep

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Nvidia-Certified Associate: Generative Ai And Llms Cert Prep
Published 2/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.29 GB | Duration: 4h 15m

Focused. Concise. Effective.

[b]What you'll learn[/b]

Fundamentals of machine learning and neural networks

Fundamentals of Prompt engineering

Python libraries for LLMs

LLM integration and deployment

Prepare for the NVIDIA-Certified Associate Generative AI LLMs (NCA-GENL) certification

[b]Requirements[/b]

Basic understanding of computing concepts

[b]Description[/b]

This course is designed to prepare you for PASSING THE CERT EXAM!This concise and focused course is designed to prepare you for the NVIDIA-Certified Associate: Generative AI and LLMs exam.Created by Andrew Larkin, ex Head of Content for Cloud Academy, certified Cloud and AI expert and AWS Community Builder of the Year in 2024. Andrew has authored over 100 courses and has significant industry experience and expertise. "Google "Andrew Larkin AWS" to learn more about me and why my course is your best option for mastering this exam. As Head of Content for Cloud Academy, I helped thousands of learners master cert exams with effective courses designed around the exam curriculum. This course provides you with the information you need for the NVIDIA-Certified Associate: Generative AI and LLM exam. The course uses the skills and techniques I learnt helping 1,000's of people master AWS, Azure and GCP certs over the last 10 years"The course has clear and effective delivery. It is visually interesting and engaging and respectful of your time. The curriculum includes sample exam questions, discussions, explanations and TWO PREP EXAMSDo this course if you want to save yourself time and master this coveted NVIDIA CERTIFICATIONWELCOME! AND GUIDE TO GETTING THE MOST FROM THIS COURSECOURSE OUTLINEHOW I WILL HELP YOU MASTER THIS CERTINSTALLING NVIDIA AI WORKBENCHNEW TO COMPUTING? START HERE! WHAT IS PROMPT ENGINEERING? - IN SIMPLE TERMSHOW GPT'S WORK - IN SIMPLE TERMS(AI FUNDAMENTALSINTRODUCTION TO AIGPU'S AND THE BENEFITS THEY PROVIDE?THE CHALLENGES FACING AI PROJECTSAI ROLES AND RESPONSIBILITIESAI WORKFLOW(AI STORAGEAI DEPLOYMENT STRATEGIES(AI DATA VISUALIZATIONGENERATIVE AI - FUNDAMENTALSINTRODUCTION TO GENERATIVE AINATURAL LANGUAGE PROCESSINGHOW "ATTENTION" WORKS IN GENERATIVE AIINTRODUCTION TO VECTORS AND WORDSAI VECTOR DATABASESENERGY EFFICIENT COMPUTINGTRAINING AND FINE TUNINGPROMPT ENGIINEERINGHYPER-PARAMETERSLLM-METRICS(CREATING GENERATIVE AI SOLUTIONS WITH NVIDIA TOOLSNVIDIA DATA CENTRE PLATFORMNVIDIA SOFTWARE ECOSYSTEMNVIDIA REFERENCE ARCHITECTURESTRAINING OPTIMIZATIONDEPLOYMENT AND INFERENCINGINTERENCE OPTIMIZATIONINTRODUCTION TO RAG WORKFLOWSNVIDIA TOOLS AND SERVICESMANAGING GENERATIVE AI SOLUTIONS AT SCALEDISTRIBUTED PROCESSINGAI CLUSTER DEPLOYMENT AND MANAGEMENTFINAL EXAM PREPTHINGS TO REMEMBER FOR THE EXAMNCA PREP - EXAM ONENCA PREP - EXAM TWO

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Course Outline

Lecture 3 How I can help you master this cert

Lecture 4 Installing NVIDIA AI WORKBENCH

Section 2: New to Computing? Start HERE!

Lecture 5 What is Prompt Engineering - In Simple Terms

Lecture 6 How GPT's Work - In Simple Terms

Section 3: Introduction to AI

Lecture 7 Introduction to Artificial Intelligence

Lecture 8 GPU's - and the benefits they create

Lecture 9 The Challenges Facing AI Projects

Lecture 10 AI Roles and Responsibilities

Lecture 11 AI Workflow

Lecture 12 AI Storage

Lecture 13 AI Deployment Strategies

Lecture 14 AI Visualization

Section 4: Introduction to Generative AI

Lecture 15 Introduction to Generative AI

Lecture 16 Natural Language Processing

Lecture 17 NLP Metrics

Lecture 18 Introduction to Words and Vectors

Lecture 19 Vector Databases

Lecture 20 Energy efficient Computing

Lecture 21 Training and Fine Tuning

Lecture 22 Prompt Engineering

Lecture 23 Hyper-Parameters

Lecture 24 LLM Metrics

Section 5: Creating Generative AI Solutions with NVIDIA Tools

Lecture 25 NVIDIA Data Centre Platforms

Lecture 26 NVIDIA Software Ecosystem

Lecture 27 NVIDIA Reference Architectures

Lecture 28 Training Optimization with NVIDIA Tools

Lecture 29 Introduction to RAG Workflows

Section 6: Managing Generative AI Solutions at Scale

Lecture 30 Distributed Processing

Lecture 31 AI Cluster Deployment and Management

Section 7: Final Exam Prep

Lecture 32 Things to Remember

Anyone wanting to prepare for passing the NVIDIA-Certified Associate Generative AI LLMs (NCA-GENL) certification

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