NVIDIA launched FREE courses in AI.
No payment needed.
Here're the 8 essential courses to become skilled in 2024:👇
No payment needed.
Here're the 8 essential courses to become skilled in 2024:👇
1. Building A Brain in 10 Minutes
What you'll learn:
Exploring How Neural Networks Use Data to Learn:
• Understanding the concept of neural networks.
• Examining the process of data learning in neural networks.
courses.nvidia.com
What you'll learn:
Exploring How Neural Networks Use Data to Learn:
• Understanding the concept of neural networks.
• Examining the process of data learning in neural networks.
courses.nvidia.com
2. Generative AI Explained
What you'll learn:
• Generative AI and how it works.
• Various Generative AI applications.
• Challenges and opportunities in Generative AI.
courses.nvidia.com
What you'll learn:
• Generative AI and how it works.
• Various Generative AI applications.
• Challenges and opportunities in Generative AI.
courses.nvidia.com
3. AI in the Data Center
What you'll learn:
• AI use cases
• Machine Learning
• Deep Learning and their workflows
• GPU architecture and its impact on AI
• Deep learning frameworks and deployment considerations
coursera.org
What you'll learn:
• AI use cases
• Machine Learning
• Deep Learning and their workflows
• GPU architecture and its impact on AI
• Deep learning frameworks and deployment considerations
coursera.org
4. 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
courses.nvidia.com
What you'll learn:
• Basics of Retrieval Augmented Generation
• RAG retrieval process
• NVIDIA AI Foundations and RAG model components
courses.nvidia.com
5. Mastering Recommender Systems
What you'll learn:
Strategies from Kaggle Grandmasters on building recommendation systems for e-commerce.
Topics Covered:
• 2-stage models
• Candidate generation
• Feature engineering
• Ensembling
classcentral.com
What you'll learn:
Strategies from Kaggle Grandmasters on building recommendation systems for e-commerce.
Topics Covered:
• 2-stage models
• Candidate generation
• Feature engineering
• Ensembling
classcentral.com
6. Accelerate Data Science Workflows with Zero Code Changes
Learn the advantages of combining CPU and GPU in your workflows.
URL: courses.nvidia.com
Learn the advantages of combining CPU and GPU in your workflows.
URL: courses.nvidia.com
7. 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.
courses.nvidia.com
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.
courses.nvidia.com
8. Networking Introduction:
What you'll learn:
• Learn about networks and their importance.
• Explore Ethernet basics and data forwarding in Ethernet networks.
• Discuss network components, requirements, OSI model, TCP/IP protocol
coursera.org
What you'll learn:
• Learn about networks and their importance.
• Explore Ethernet basics and data forwarding in Ethernet networks.
• Discuss network components, requirements, OSI model, TCP/IP protocol
coursera.org
I hope you've found this thread helpful.
Follow me @saidul_dev for more.
Like/Repost the quote below if you can:
Follow me @saidul_dev for more.
Like/Repost the quote below if you can:
Loading suggestions...