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Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs 专项课程
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Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs 专项课程

Launch career in NVIDIA Generative AI with LLMs. Master AI, ML, and Deep Learning using NVIDIA tools.

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16 周 完成
在 3 小时 一周
灵活的计划
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深入学习学科知识
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中级 等级

推荐体验

16 周 完成
在 3 小时 一周
灵活的计划
自行安排学习进度

您将学到什么

  • Validating your expertise in generative AI, LLMs, and deep learning techniques.

  • Gaining industry recognition for your AI and machine learning skills.

  • Enhancing career opportunities in AI research, development, and cloud-based AI solutions.

  • Positioning yourself as a specialist in cutting-edge AI technologies.

您将获得的技能

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专业化 - 6门课程系列

NVIDIA: Fundamentals of Machine Learning

NVIDIA: Fundamentals of Machine Learning

第 1 门课程5小时

您将学到什么

  • Understand the fundamentals of AI, ML, and Deep Learning, and their key differences.

  • Implement supervised learning techniques like classification and regression.

  • Apply clustering methods and time series analysis using ARIMA.

  • Leverage NVIDIA RAPIDS for GPU-accelerated ML workflows.

您将获得的技能

类别：Unsupervised Learning
类别：Supervised Learning
类别：Deep Learning
类别：Machine Learning
类别：Regression Analysis
类别：Predictive Modeling
类别：Classification And Regression Tree (CART)
类别：Data Processing
类别：Artificial Intelligence
类别：Time Series Analysis and Forecasting
类别：Feature Engineering
类别：Applied Machine Learning
类别：Statistical Analysis
NVIDIA: Fundamentals of Deep Learning

NVIDIA: Fundamentals of Deep Learning

第 2 门课程3小时

您将学到什么

  • Understand deep learning fundamentals, including neuron data processing and model training.

  • Implement multi-class classification and CNNs for image recognition tasks.

  • Apply transfer learning with pre-trained models to improve deep learning performance.

您将获得的技能

类别：Deep Learning
类别：Artificial Neural Networks
类别：Data Processing
类别：Supervised Learning
类别：PyTorch (Machine Learning Library)
类别：Computer Vision
类别：Machine Learning
类别：Tensorflow
类别：Network Architecture
类别：Machine Learning Algorithms
类别：Applied Machine Learning
类别：Artificial Intelligence and Machine Learning (AI/ML)
类别：Image Analysis
类别：Linear Algebra
NVIDIA: Fundamentals of NLP and Transformers

NVIDIA: Fundamentals of NLP and Transformers

第 3 门课程4小时

您将学到什么

  • Understand NLP fundamentals, key tasks, and real-world applications.

  • Implement NLP techniques, including tokenization, word embeddings, and sequence models.

  • Explore transformer architecture, self-attention mechanisms, and encoder-decoder models.

您将获得的技能

类别：Natural Language Processing
类别：Data Pipelines
类别：Data Processing
类别：Text Mining
类别：Unstructured Data
类别：Machine Learning Methods
类别：Artificial Intelligence and Machine Learning (AI/ML)
类别：Deep Learning
类别：Machine Learning
类别：Artificial Neural Networks
NVIDIA: Large Language Models and Generative AI Deployment

NVIDIA: Large Language Models and Generative AI Deployment

第 4 门课程4小时

您将学到什么

  • Understand the foundational concepts of LLMs, including NLP and training data.

  • Explore model optimization techniques like loss functions, alignment, and PEFT.

  • Implement deployment strategies for LLMs and monitor performance using ONNX.

您将获得的技能

类别：Large Language Modeling
类别：Generative AI
类别：Application Deployment
类别：Data Cleansing
类别：Tensorflow
类别：MLOps (Machine Learning Operations)
类别：Natural Language Processing
类别：Machine Learning
类别：Continuous Monitoring
类别：Deep Learning
类别：Machine Learning Methods
类别：PyTorch (Machine Learning Library)
类别：Prompt Engineering
NVIDIA: Prompt Engineering and Data Analysis

NVIDIA: Prompt Engineering and Data Analysis

第 5 门课程3小时

您将学到什么

  • Understand prompt engineering and its role in LLM optimization.

  • Apply P-tuning and RAG architecture for improved model performance.

  • Utilize data analysis and visualization techniques for effective NLP tasks.

您将获得的技能

类别：Prompt Engineering
类别：Scatter Plots
类别：Histogram
类别：Data Analysis
类别：Data Visualization Software
类别：Large Language Modeling
类别：Text Mining
类别：Unstructured Data
类别：Data Visualization
类别：Natural Language Processing
NVIDIA: LLM Experimentation, Deployment, and Ethical AI

NVIDIA: LLM Experimentation, Deployment, and Ethical AI

第 6 门课程4小时

您将学到什么

  • Experiment with LLMs using hyperparameter tuning and A/B testing.

  • Apply version control and optimize AI workflows with NVIDIA tools like BioNeMo, Triton, and TensorRT.

  • Understand ethical AI principles, data privacy, and methods to minimize bias and enhance AI trustworthiness.

您将获得的技能

类别：Version Control
类别：Responsible AI
类别：Information Privacy
类别：A/B Testing
类别：Large Language Modeling
类别：Deep Learning
类别：Artificial Intelligence
类别：Scalability
类别：MLOps (Machine Learning Operations)
类别：Performance Tuning
类别：Tensorflow
类别：Generative AI
类别：PyTorch (Machine Learning Library)
类别：Machine Learning

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