NVIDIA-Certified Associate: Generative AI Multimodal | Udemy

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 EXAMS

Do 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 COURSE

• COURSE OUTLINE
• HOW I WILL HELP YOU MASTER THIS CERT
• INSTALLING NVIDIA AI WORKBENCH

NEW TO COMPUTING? START HERE!

• WHAT IS PROMPT ENGINEERING? – IN SIMPLE TERMS
• HOW GPT’S WORK – IN SIMPLE TERMS(

AI FUNDAMENTALS

• INTRODUCTION TO AI
• GPU’S AND THE BENEFITS THEY PROVIDE?
• THE CHALLENGES FACING AI PROJECTS
• AI ROLES AND RESPONSIBILITIES
• AI WORKFLOW(
• AI STORAGE
• AI DEPLOYMENT STRATEGIES(
• AI DATA VISUALIZATION

GENERATIVE AI – FUNDAMENTALS

• INTRODUCTION TO GENERATIVE AI
• NATURAL LANGUAGE PROCESSING
• HOW “ATTENTION” WORKS IN GENERATIVE AI
• INTRODUCTION TO VECTORS AND WORDS
• AI VECTOR DATABASES
• ENERGY EFFICIENT COMPUTING
• TRAINING AND FINE TUNING
• PROMPT ENGIINEERING
• HYPER-PARAMETERS
• LLM-METRICS

INTRODUCTION TO MULTI- MODAL GENERATIVE AI

• INTRODUCTION TO MULTI MODAL AI
• FUSION TECHNIQUES AND LOSS FUNCTIONS
• :FUSION TECHNIQUES – DEEP DIVE
• CLIP – (CONTRASTIVE LANGUAGE IMAGE PRETRAINING)

CREATING GENERATIVE AI SOLUTIONS WITH NVIDIA TOOLS

• NVIDIA DATA CENTRE PLATFORM
• NVIDIA SOFTWARE ECOSYSTEM
• NVIDIA REFERENCE ARCHITECTURES
• TRAINING OPTIMIZATION
• DEPLOYMENT AND INFERENCING
• INTERENCE OPTIMIZATION
• INTRODUCTION TO RAG WORKFLOWS
• NVIDIA TOOLS AND SERVICES

MANAGING GENERATIVE AI SOLUTIONS AT SCALE

• DISTRIBUTED PROCESSING
• AI CLUSTER DEPLOYMENT AND MANAGEMENT

FINAL EXAM PREP

• TIPS FOR THE EXAM
• NCA-GENM PREP – EXAM ONE
• NCA-GENM PREP – EXAM TWO