Tutorials > Nvidia-Certified Associate: Generative Ai Multimodal

Nvidia-Certified Associate: Generative Ai Multimodal

Date: 25 February 2025 | Posted by: 0nelove

Nvidia-Certified Associate: Generative Ai Multimodal
Published 2/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.15 GB | Duration: 4h 51m
Concise. Clear. Effective.

What you'll learn
Core machine learning and AI knowledge
Data analysis and visualization
Multimodal data
Performance optimization
Software development and engineering
Trustworthy AI
Requirements
A basic understanding of computing
Description
This concise course is designed to prepare you for the NVIDIA-Certified Associate: Generative AI Multimodal 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 is clear and effective. 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-Certified Associate: Generative AI Multimodal Certification. WELCOME! 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-METRICSINTRODUCTION TO MULTI- MODAL GENERATIVE AIINTRODUCTION TO MULTI MODAL AIFUSION TECHNIQUES AND LOSS FUNCTIONS:FUSION TECHNIQUES - DEEP DIVECLIP - (CONTRASTIVE LANGUAGE IMAGE PRETRAINING)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 PREPTIPS FOR THE EXAMNCA-GENM PREP - EXAM ONENCA-GENM PREP - EXAM TWO
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