8 Front-End Languages to Learn
November 26, 2024
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This course is part of AI Engineering Specialization
Instructor: Guil Hernandez
2,693 already enrolled
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(21 reviews)
(21 reviews)
Understand and Create Embedding
Utilize Vector Databases
Implement Advanced AI Solutions
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This course offers an advanced journey into the realm of AI engineering, focusing on the creation, utilization, and management of embeddings in vector databases. Learners will begin by grasping the concept of embeddings and their pivotal role in AI's interpretative processes. The course progresses through practical exercises on setting up environment variables, creating embeddings, and integrating these into vector databases with tools like Supabase.
Participants will engage in challenges that test their ability to pair text with corresponding embeddings, manage semantic searches, and use similarity searches to query embeddings. They will also learn to create conversational responses with OpenAI and handle complex tasks like chunking text from documents. What makes this course unique is its comprehensive coverage of both the theoretical aspects of AI embeddings and the practical skills needed to implement these concepts in real-world applications. By the end of the course, learners will not only have mastered the technical knowledge but will also have developed a proof of concept for an AI chatbot, ready to tackle advanced AI engineering challenges.
This course provides an in-depth look at AI engineering with a focus on creating and using embeddings in vector databases. Starting with the basics of embeddings, learners will advance through practical tasks involving environment setup, embedding creation, and database integration using tools like Supabase. Challenges will test skills in text pairing, semantic and similarity searches, and crafting AI conversational responses, leading to a final project that solidifies their understanding. This course stands out for its mix of theory and hands-on practice, preparing participants to develop an AI chatbot by the end.
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DeepLearning.AI
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Scrimba
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21 reviews
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Reviewed on Oct 11, 2024
Simple and easy to follow course with enough information about embeddings and vector databases with sample uses cases.
Reviewed on Mar 21, 2024
las apps deben ser casos de uso utiles, mas que recomendar peliculas. Y si no tengo permitido salir a internet, como funciona localmente todo lo aprendido?
Reviewed on Dec 25, 2024
This instructor from Srimba is outstanding! Deeply knowledgeable and terrific teacher and communicator: 5+ Stars
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