Recently amazon Launched an e-commerce company that launched Free AI courses And Got a free Certificate In the realm of artificial intelligence (AI), prompt engineering has emerged as a critical skill, enabling effective communication with large language models (LLMs) like ChatGPT and Bard. By crafting clear and concise prompts, users can guide LLMs to generate desired creative text formats, translate languages, and answer questions in an informative way.
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About the Amazon
It is an American multinational technology company focusing on e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence. It has been often referred to as “one of the most influential economic and cultural forces in the world”, and is often regarded as one of the world’s most valuable brands. It is considered to be one of the Big Five American technology companies, alongside Alphabet (parent company of Google), Apple, Meta, and Microsoft.
It was founded by Jeff Bezos from his garage in Bellevue, Washington, on July 5, 1994. Initially an online marketplace for books, it has expanded into a multitude of product categories, a strategy that has earned it the moniker The Everything Store. It has multiple subsidiaries including Web Services (cloud computing), Zoox (autonomous vehicles), Kuiper Systems (satellite Internet), and Lab126 (computer hardware R&D). Its other subsidiaries include Ring, Twitch, IMDb, and Whole Foods Market. Its acquisition of Whole Foods in August 2017 for US$13.4 billion substantially increased its footprint as a physical retailer.
About the FREE AI Courses Program
In this course, you will learn the principles, techniques, and best practices for designing effective prompts. This course introduces the basics of prompt engineering, and progresses to advanced prompt techniques. You will also learn how to guard against prompt misuse and how to mitigate bias when interacting with FMs.
- Course level: Intermediate
- Duration: 4 hours
In this course, you will learn to:
Define prompt engineering and apply general best practices when interacting with FMs
Identify the basic types of prompt techniques, including zero-shot and few-shot learning
Apply advanced prompt techniques when necessary for your use case
Identify which prompt techniques are best suited for specific models
Identify potential prompt misuses
Analyze potential bias in FM responses and design prompts that mitigate that bias
This course is intended for:
- Prompt engineers, data scientists, and developers
We recommend that attendees of this course have taken the following courses:
Introduction to Generative AI – Art of the Possible (1 hour, digital course)
Planning a Generative AI Project (1 hour, digital course)
Bedrock Getting Started (1 hour, digital course)
- Basics of Foundation Models
- Fundamentals of Prompt Engineering
Prompt Types and Techniques
Basic Prompt Techniques
Advanced Prompt Techniques
Model-Specific Prompt Techniques
Addressing Prompt Misuses
How To Apply?
Click on the below button to apply for the Amazon
Official Notification by Amazon for these Free Courses: