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NVIDIA GenAI & LLMs: Learn and Pass NCA-GENL Certification · LearnSpace
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NVIDIA GenAI & LLMs: Learn and Pass NCA-GENL Certification

Курс от Packt
Продвинутый≈ 16.6 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Unlock your potential in Generative AI and Large Language Models (LLMs) through this comprehensive course. Dive into AI infrastructure, explore advanced model customization techniques, and gain hands-on experience. Prepare effectively for the NCA-GENL certification exam while building essential real-world AI skills for success. This course provides learners with the expertise to excel in Generative AI and Large Language Models, with a focus on NVIDIA’s AI infrastructure. Starting with foundational AI and ML concepts, the course gradually dives into transformer architecture, model selection, and customization. Each module builds upon the previous one, allowing learners to develop a thorough understanding of the technologies that power cutting-edge AI solutions. As the course progresses, learners will explore deep learning techniques, large language models, and the architecture of transformers. The practical approach emphasizes how to effectively train and customize models for real-world applications. This course is designed for those who want to master NVIDIA’s suite of AI tools, including TensorRT, RAPIDS, and NeMo. Whether you’re a beginner or looking to deepen your knowledge, the course will equip you with the skills needed to thrive in AI and machine learning. By the end of this course, you will be prepared for the NCA-GENL certification exam and have a strong grasp of ethical AI practices, making you ready to take on real-world AI challenges with confidence. This course is designed for AI engineers, machine learning professionals, and cloud architects looking to master Generative AI and successfully pass the NCA-GENL certification. While a foundational understanding of AI, machine learning concepts, and cloud-based infrastructure will be beneficial, it is not a requirement. This course provides the essential knowledge and practical skills needed to excel in the field of Generative AI, offering a solid foundation for those eager to advance their expertise and career in AI and cloud technologies. The course follows a structured approach that mixes theoretical knowledge with practical application. Each module is designed to help learners build competence in core AI concepts before diving into more complex topics like model customization and deployment. With hands-on labs, learners will reinforce their knowledge and gain practical skills for real-world AI implementation. This course is based on NVIDIA GenAI & LLMs: Learn and Pass NCA-GENL Certification, by Ashish Prajapati. This course is licensed and distributed by Packt. All rights reserved. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.

Навыки, которые вы освоите

Artificial Intelligence and Machine Learning (AI/ML)Deep LearningGenerative AILarge Language ModelingGenerative Model ArchitecturesModel DeploymentModel OptimizationModel TrainingAI SecurityArtificial Neural NetworksTransfer LearningRetrieval-Augmented GenerationModel EvaluationPrompt EngineeringResponsible AIAI Workflows

Программа курса

14 модулей · 149 учебных материалов

01Welcome2 материалов

Starting Your Certification Journey

IntroductionВидеоNavigating the NCA-GENL Certification PathDIALOGUE
02Why Generative AI Matters for Companies and You?3 материалов

Unlocking the Power of Generative AI in Business and Careers

Why Companies Invest in Generative AI—and Why It Matters to YouВидео

Учитесь у экспертов

Packt - Course Instructors

Преподаватель курса

NVIDIA GenAI & LLMs: Learn and Pass NCA-GENL Certification
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≈ 16.6 ч

14 модулей

Язык: Английский

Часть программы вашего университета
Understanding Generative AI Business ImpactDIALOGUE
Importance and Benefits of Generative AIЗадание
03NVIDIA Certification Details4 материалов

Unlocking NVIDIA's AI Certification Pathways

Know about Certification TracksВидеоNCA-GENL CertificationВидеоNavigating NVIDIA Certification TracksDIALOGUENvidia Generative AI Certification PreparationЗадание
04Module 1 - AI Infrastructure13 материалов

Building the Backbone of AI: From Hardware to Cloud

What we will cover?ВидеоAII and ML StackВидеоAI InfrastructureВидеоGPUs for AI and MLВидеоGPU vs. CPUВидеоGPU ArchitectureВидеоMemory PoolingВидеоCloud vs. On-PremВидеоNetwork InfrastructureВидеоStorage InfrastructureВидеоModule 1 - SummaryВидеоUnderstanding AI Infrastructure ComponentsDIALOGUEAI Infrastructure FoundationsЗадание
05Module 2 - AI and ML Fundamentals8 материалов

Unveiling AI: From Theory to Practical Applications

AI and MLВидеоDeep LearningВидеоA Simple Use CaseВидеоWhat is a Model?ВидеоTraining a ModelВидеоModule 2 - SummaryВидеоExplaining Model Training to a StakeholderDIALOGUEFundamentals of Artificial Intelligence and Machine LearningЗадание
06Module 3 - Generative AI & LLM8 материалов

Decoding Generative AI: From Foundations to Transformers

What is Generative AI?ВидеоFoundation ModelВидеоLarge Language ModelВидеоRoad to Generative AIВидеоTransformersВидеоModule 3 - SummaryВидеоUnderstanding Generative AI ConceptsDIALOGUEBuilding Blocks and Concepts of Generative AIЗадание
07Module 4 - Transformer Architecture17 материалов

Decoding the Power of Transformers in Modern AI

Transformer - The engine behind Modern AIВидеоHow Transformers work?ВидеоTokenizationВидеоEncodingВидеоWord EmbeddingВидеоDecodingВидеоOutputВидеоPositional EncodingВидеоTransformer ExplainerВидеоAttention MechanismВидеоMulti Head AttentionВидеоEncoder DecoderВидеоWhich one to use?ВидеоPrediction StrategyВидеоModule 4 - SummaryВидеоExplaining Transformer Architecture to a StakeholderDIALOGUEUnderstanding Transformers in Machine LearningЗадание
08Module 5 - Model Selection12 материалов

Mastering AI Model Selection and Evaluation Techniques

How to Pick the Right AI Foundation Model?ВидеоModel Selection ProcessВидеоSLM vs. LLMВидеоModel EvaluationВидеоMetrics that MattersВидеоMetrics ComparisonВидеоCross ValidationВидеоA/B TestingВидеоSelecting Best ModelВидеоModule 5 - SummaryВидеоModel Selection CriteriaDIALOGUEFoundations of Model Selection and EvaluationЗадание
09Module 6 - Model Customization14 материалов

Mastering AI Model Customization Techniques

Why Customize a Model?ВидеоPrompt EngineeringВидеоSystem PromptВидеоRetrieval Augmented Generation (RAG)ВидеоChunkingВидеоTransfer LearningВидеоTransfer Learning ApproachesВидеоTransfer Learning Use CasesВидеоFine-TuningВидеоKnowledge DistillationВидеоAccuracy on a Validation SetВидеоModule 6 - SummaryВидеоCustomizing a Language Model for a Client Use CaseDIALOGUEBuilding and Customizing Generative AI SolutionsЗадание
10Module 7 - Model Training18 материалов

Mastering the AI Model Lifecycle: From Data to Deployment

Model Training AnalogyВидеоBeer or WineВидеоOrder of StepsВидеоData CollectionВидеоData Processing - RegExВидеоData Processing - EDAВидеоEDA TechniquesВидеоModel TrainingВидеоModel Training PhasesВидеоModel EvaluationВидеоModel DeploymentВидеоOptions for DeploymentВидеоONNX FormatВидеоQuantizationВидеоPost DeploymentВидеоModule 7 - SummaryВидеоUnderstanding Model Training PhasesDIALOGUEFoundations of Machine Learning ProjectsЗадание
11Module 8 - NVIDIA Eco-system16 материалов

Mastering the NVIDIA AI Ecosystem: Tools, Frameworks, and Deployment Strategies

NVIDIA Eco-systemВидеоNVIDIA GPUsВидеоCUDAВидеоNVIDIA SMIВидеоNVIDIA RAPIDSВидеоHow RAPIDS work?ВидеоNVIDIA Tensor-RTВидеоTensor-RT vs Quantization vs ONNXВидеоNVIDIA NeMoВидеоNVIDIA TritonВидеоDynamic BatchingВидеоNGC CatalogВидеоOther IntegrationВидеоModule 8 - SummaryВидеоTroubleshooting GPU Performance with NVIDIA SMIDIALOGUEOverview of the Nvidia AI Stack and EcosystemЗадание
12Module 9 - Ethical AI13 материалов

Navigating Ethical Challenges in AI Development and Deployment

Ethical AIВидеоBuilding Trustworthy AIВидеоConfidential ComputingВидеоNVIDIA NeMo GuardrailsВидеоEmbedding ClassifierВидеоData Lineage TrackingВидеоRed TeamingВидеоData AugmentationВидеоAccountabilityВидеоExplainable AIВидеоModule 9 - SummaryВидеоExploring Ethical AI PrinciplesDIALOGUEPrinciples and Practices of Responsible AIЗадание
13Module 10 - Additional Topics18 материалов

Mastering Neural Network Mechanics and Advanced AI Techniques

Forward and Back PropagationВидеоVanishing GradientsВидеоChallenges of Vanishing GradientsВидеоNeuronВидеоInside a NeuronВидеоIs it a Cat?ВидеоReLU vs SigmoidВидеоLayer NormalizationВидеоNamed Entity RelationshipВидеоDiffusion AlgorithmsВидеоForward and Reverse DiffusionВидеоForward DiffusionВидеоReverse DiffusionВидеоRapid Application Development (RAD)ВидеоHuggingFace TransformersВидеоModule 10 - SummaryВидеоResolving Vanishing Gradients in a Deep Learning ProjectDIALOGUECore Processes and Concepts in Machine Learning ModelsЗадание
14Tips for Certification Exam3 материалов

Mastering the NCA-GENL Certification Exam: Strategies and Success

Prepare for Certification ExamВидеоMastering Certification Exam StrategiesDIALOGUEThe NVIDIA GenAI & LLMs: Learn and Pass NCA-GENL Certification Final AssessmentЗадание