1. Generative AI Explained
What you'll learn:
• Generative AI and explain how Generative AI works.
• Various Generative AI applications.
• Challenges and opportunities in Generative AI
Link: https://courses.nvidia.com/courses/course-v1:DLI+S-FX-07+V1/
2. Building A Brain in 10 Minutes
What you'll learn:
• Exploring how neural networks use data to learn
• Understanding the math behind a neuron
Link: https://courses.nvidia.com/courses/course-v1:DLI+T-FX-01+V1/
3. Augment your LLM with Retrieval Augmented Generation:
What you'll learn:
• Basics of Retrieval Augmented Generation
• RAG retrieval process
• NVIDIA AI Foundations and RAG model components
Link: https://courses.nvidia.com/courses/course-v1:NVIDIA+S-FX-16+v1/
4. Accelerate Data Science Workflows with Zero Code Changes:
What you'll learn:
• Learn benefits of unified CPU and GPU workflows
• GPU-accelerate data processing and ML without code changes
• Experience faster processing times
Link : https://courses.nvidia.com/courses/course-v1:DLI+T-DS-03+V1/
5. Building RAG Agents with LLMs:
What you'll learn:
• Scalable deployment strategies for LLMs and vector databases.
• Modern LangChain paradigms for dialog management and document retrieval.
• Using advanced models and steps for production.
Link: https://courses.nvidia.com/courses/course-v1:DLI+S-FX-15+V1/
Update
Introduction to AI in the Data Center
https://www.coursera.org/learn/introduction-ai-data-center
Accelerate Data Science Workflows with Zero Code Changes
https://courses.nvidia.com/courses/course-v1:DLI+T-DS-03+V1/course/
Introduction to Networking
https://www.coursera.org/learn/introduction-to-networking-nvidia
What you'll learn:
• Generative AI and explain how Generative AI works.
• Various Generative AI applications.
• Challenges and opportunities in Generative AI
Link: https://courses.nvidia.com/courses/course-v1:DLI+S-FX-07+V1/
2. Building A Brain in 10 Minutes
What you'll learn:
• Exploring how neural networks use data to learn
• Understanding the math behind a neuron
Link: https://courses.nvidia.com/courses/course-v1:DLI+T-FX-01+V1/
3. Augment your LLM with Retrieval Augmented Generation:
What you'll learn:
• Basics of Retrieval Augmented Generation
• RAG retrieval process
• NVIDIA AI Foundations and RAG model components
Link: https://courses.nvidia.com/courses/course-v1:NVIDIA+S-FX-16+v1/
4. Accelerate Data Science Workflows with Zero Code Changes:
What you'll learn:
• Learn benefits of unified CPU and GPU workflows
• GPU-accelerate data processing and ML without code changes
• Experience faster processing times
Link : https://courses.nvidia.com/courses/course-v1:DLI+T-DS-03+V1/
5. Building RAG Agents with LLMs:
What you'll learn:
• Scalable deployment strategies for LLMs and vector databases.
• Modern LangChain paradigms for dialog management and document retrieval.
• Using advanced models and steps for production.
Link: https://courses.nvidia.com/courses/course-v1:DLI+S-FX-15+V1/
Update
Introduction to AI in the Data Center
https://www.coursera.org/learn/introduction-ai-data-center
Accelerate Data Science Workflows with Zero Code Changes
https://courses.nvidia.com/courses/course-v1:DLI+T-DS-03+V1/course/
Introduction to Networking
https://www.coursera.org/learn/introduction-to-networking-nvidia
Last edited: