1/ Introduction to Generative AI

https://www.cloudskillsboost.google/course_templates/536

2/ Introduction to Large Language Models

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This is an introductory-level microlearning course that explores large language models (LLMs).

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https://www.cloudskillsboost.google/course_templates/539

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This introductory-level microlearning course explains what responsible AI is, why it's important, and how Google incorporates responsible AI into their products.

https://www.cloudskillsboost.google/course_templates/554

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- 1 day
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Earn a skill badge by completing the Introduction to Generative AI, Introduction to Large Language Models and Introduction to Responsible AI courses.

https://www.cloudskillsboost.google/

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- 1 day
- Introductory
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This course introduces diffusion models, a promising type of machine learning model in the image generation field.

https://www.cloudskillsboost.google/course_templates/541

6/ Encoder-Decoder Architecture

- 1 day
- Intermediate
- Free

This course provides a synopsis of the encoder-decoder architecture, a powerful and prevalent machine learning framework.

https://www.cloudskillsboost.google/course_templates/543

7/ Attention Mechanism

- Duration: 1 day
- Level: Intermediate
- Cost: Free

Learn how attention works and how it can enhance a variety of machine learning tasks, including machine translation and text summarization.

https://www.cloudskillsboost.google/course_templates/537

8. Transformer Models and BERT Model

- Duration: 1 day
- Level: Intermediate
- Cost: Free

This course introduces the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model.

https://www.cloudskillsboost.google/course_templates/538

9/ Create Image Captioning Models

- 1 day
- Intermediate
- Free

This course teaches you how to create an image captioning model using deep learning.

https://www.cloudskillsboost.google/course_templates/542

10/ Introduction to Generative AI Studio

- 1 day
- Intermediate
- Free

This course introduces Generative AI Studio, a tool on Vertex AI that assists in prototyping and customizing generative AI models for use in your applications.

https://t.co/sC1TPmDggf

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1. Getting Started with AI

Build and train a classification data set and model with the NVIDIA Jetson Nano.

Link:https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-RX-02+V2


2. Accelerate data science workflows

Learn to use RAPIDS to speed up your CPU-based data science workflows.

Link: https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+T-DS-03+V1

3. Generative AI Explained

Learn Generative AI concepts and applications, as well as the challenges and opportunities in this exciting field.

Link: https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-07+V1

4. Building a Brain in 10 Minutes

This course explores the biological inspiration for early neural networks.

Link:
https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+T-FX-01+V1

5. Augment your LLM using RAG

Learn about Retrieval Augmented Generation and how it improves Generative AI.

Link: https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-16+V1

6. Building RAG agents with LLMs

This course will show you how to deploy an agent system in practice.

Link:https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-15+V1


7. Building Video AI Applications

Learn how to build DeepStream applications to annotate video streams.

Link: https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-IV-02+V2