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Generative AI with Large Language Models -- New Hands-on Course by DeepLearning.AI and AWS | Amazon Web Services
Original article seen at: aws.amazon.com on June 28, 2023
tldr
- 📘 DeepLearning.AI and AWS have launched a new course on Generative AI with large language models.
- 👩💻 The course is designed for data scientists and engineers who want to learn how to build generative AI applications.
- 📚 The course covers the typical generative AI project lifecycle, including scoping the problem, choosing an LLM, adapting the LLM to your domain, optimizing the model for deployment, and integrating into business applications.
summary
DeepLearning.AI and AWS have jointly launched a new hands-on course on Coursera titled 'Generative AI with large language models'. The course aims to prepare data scientists and engineers to become experts in selecting, training, fine-tuning, and deploying large language models (LLMs) for real-world applications. Generative AI, powered by large machine learning models, is being rapidly integrated into products and services across various industries. The course covers the typical generative AI project lifecycle, including scoping the problem, choosing an LLM, adapting the LLM to your domain, optimizing the model for deployment, and integrating into business applications. The course is broken down into three weeks of content with approximately 16 hours of videos, quizzes, labs, and extra readings.starlaneai's full analysis
The launch of this course represents a significant step forward in AI education. As Generative AI and LLMs become increasingly integrated into various industries, there is a growing demand for expertise in these areas. This course could help to meet this demand, potentially leading to the development of more advanced and useful AI applications. However, it will be important to ensure that ethical considerations are adequately addressed in the course content. The collaboration between DeepLearning.AI and AWS in developing this course could stimulate further collaborations and investments in the AI education sector.
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starlaneai's Ratings & Analysis
Technical Advancement
70 The course represents a significant advancement in the field of AI education, particularly in the area of Generative AI and LLMs.
Adoption Potential
80 Given the increasing demand for expertise in Generative AI and LLMs, the course has high adoption potential among data scientists and AI engineers.
Public Impact
60 The course could have a significant public impact by enabling the development of more advanced and useful AI applications.
Innovation/Novelty
50 While the concept of online AI education is not new, the specific focus on Generative AI and LLMs is relatively novel.
Article Accessibility
85 The course is highly accessible, being available on Coursera's online platform and broken down into manageable weekly segments.
Global Impact
70 The online nature of the course allows for global access and impact.
Ethical Consideration
40 The course does not appear to directly address ethical considerations, although these are a crucial aspect of AI development.
Collaboration Potential
90 The collaboration between DeepLearning.AI and AWS in developing this course demonstrates high collaboration potential in the AI education sector.
Ripple Effect
75 The knowledge and skills gained from this course could have a ripple effect across various industries as more advanced AI applications are developed and deployed.
Investment Landscape
60 The launch of this course could stimulate further investment in AI education and training.