NVIDIA FREE COURSES
1. Generative AI Explained (Free
& No-Code)
This is the best starting point if you want to understand the
"why" and "how" of prompting before diving into code.
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Duration: 2
Hours
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Key Topics: Generative
AI concepts, real-world applications, and the role of prompt engineering in
shaping AI outputs.
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Best for: Beginners
who want a quick, non-technical foundation.
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Link: Generative AI Explained
2. NVIDIA: Prompt Engineering
and Data Analysis (Free)
NVIDIA partners with Coursera to offer more structured academic content.
You can usually audit this course for free to access the
videos and readings.
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Key Topics: P-tuning,
RAG architecture, and using NVIDIA NeMo for prompt-efficient
fine-tuning.
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Hands-on: Includes
demos using cuDF and Dask for data-heavy NLP tasks.
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Link: NVIDIA Prompt Engineering on Coursera
3. Augment Your LLM Using
Retrieval-Augmented Generation (Free)
While focused on RAG (connecting AI to your own data), this course
heavily features prompt engineering as the bridge between retrieved data and
the final response.
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Duration: 1
Hour
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Key Topics: RAG
retrieval process, NVIDIA AI Foundations, and structuring prompts to include
external data.
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Link: Augment Your LLM Using RAG