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      <title>Free Registrations for NVIDIA GTC' 2025, one of the prominent AI conferences, are open now</title>
      <dc:creator>mehul gupta</dc:creator>
      <pubDate>Tue, 11 Mar 2025 15:18:47 +0000</pubDate>
      <link>https://dev.to/mehul_gupta_267f49dc1f4aa/free-registrations-for-nvidia-gtc-2025-one-of-the-prominent-ai-conferences-are-open-now-4lk8</link>
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      <description>&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F2rnrv4vmlxr77cfbn1r2.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F2rnrv4vmlxr77cfbn1r2.jpg" alt="Image description" width="800" height="418"&gt;&lt;/a&gt;&lt;br&gt;
NVIDIA GTC 2025 is set to take place from March 17-21, bringing together researchers, developers, and industry leaders to discuss the latest advancements in AI, accelerated computing, MLOps, Generative AI, and more.&lt;/p&gt;

&lt;p&gt;One of the key highlights will be Jensen Huang’s keynote, where NVIDIA has historically introduced breakthroughs, including last year’s Blackwell architecture. Given the pace of innovation, this year’s event is expected to feature significant developments in AI infrastructure, model efficiency, and enterprise-scale deployment.&lt;/p&gt;

&lt;p&gt;With technical sessions, hands-on workshops, and discussions led by experts, GTC remains one of the most important events for those working in AI and high-performance computing.&lt;/p&gt;

&lt;p&gt;Registration is free and now open. You can register &lt;a href="https://www.nvidia.com/gtc/?ncid=ref-inpa-722552" rel="noopener noreferrer"&gt;here&lt;/a&gt;&lt;br&gt;
I strongly feel NVIDIA will announce something really big around AI this time. What are your thoughts?&lt;/p&gt;

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      <category>ai</category>
      <category>machinelearning</category>
      <category>datascience</category>
      <category>gpu</category>
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      <title>NVIDIA's paid Generative AI courses for FREE (limited period)</title>
      <dc:creator>mehul gupta</dc:creator>
      <pubDate>Wed, 29 Jan 2025 10:27:49 +0000</pubDate>
      <link>https://dev.to/mehul_gupta_267f49dc1f4aa/nvidias-paid-generative-ai-courses-for-free-limited-period-2d1l</link>
      <guid>https://dev.to/mehul_gupta_267f49dc1f4aa/nvidias-paid-generative-ai-courses-for-free-limited-period-2d1l</guid>
      <description>&lt;p&gt;NVIDIA has announced free access (for a limited time) to its premium courses, each typically valued between $30-$90, covering advanced topics in Generative AI and related areas.&lt;/p&gt;

&lt;p&gt;The major courses made free for now are :&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Retrieval-Augmented Generation (RAG) for Production: Learn how to deploy scalable RAG pipelines for enterprise applications.&lt;/li&gt;
&lt;li&gt;Techniques to Improve RAG Systems: Optimize RAG systems for practical, real-world use cases.&lt;/li&gt;
&lt;li&gt;CUDA Programming: Gain expertise in parallel computing for AI and machine learning applications.&lt;/li&gt;
&lt;li&gt;Understanding Transformers: Deepen your understanding of the architecture behind large language models.&lt;/li&gt;
&lt;li&gt;Diffusion Models: Explore generative models powering image synthesis and other applications.&lt;/li&gt;
&lt;li&gt;LLM Deployment: Learn how to scale and deploy large language models for production effectively.
Note: There are redemption limits to these courses. A user can enroll into any one specific course.
Platform Link: &lt;a href="https://nvda.ws/4jtHiOf" rel="noopener noreferrer"&gt;NVIDIA TRAININGS&lt;/a&gt;
&lt;/li&gt;
&lt;/ul&gt;

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