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DeepLearning.AI via Coursera

Understanding and Applying Text Embeddings

4.869 ratings at Coursera

Overview

The Vertex AI Text-Embeddings API enhances the process of generating text embeddings. These text embeddings, which are numerical representations of text, play a pivotal role in many tasks involving the identification of similar items, like Google searches, online shopping recommendations, and personalized music suggestions.

During this course, you’ll use text embeddings for tasks like classification, outlier detection, text clustering and semantic search. You’ll combine semantic search with the text generation capabilities of an LLM to build a question-answering systems using Google Cloud’s Vertex AI.

Syllabus 1

  1. Project Overview 1.5 hours

    The Vertex AI Text-Embeddings API enhances the process of generating text embeddings. These text embeddings, which are numerical representations of text, play a pivotal role in many tasks involving the identification of similar items, like Google searches, online shopping recommendations, and perso…

Skills you'll practise

Python Programming

Advantages and disadvantages

Advantages

  • Structured courses with graded quizzes, assignments and deadlines you can reset.
  • A shareable certificate from the university or company when you pay.
  • Financial aid is often approved for students in India (apply 15 days before you need it).
  • Andrew Ng and his team are among the clearest AI teachers anywhere.
  • Short courses are made with the companies building the tools (OpenAI, Google, AWS, Hugging Face).
  • From DeepLearning.AI, a well-regarded name.
  • Rated 4.8 out of 5 by 69 learners.
  • Self-paced: start any time.

Disadvantages

  • Paid after a 7-day free trial (Coursera Plus or per course).
  • Some courses can be audited for free, but graded work and certificates need payment.
  • Short courses are 1–2 hours: an introduction, not mastery.
  • Some notebooks need a paid Pro plan or your own API key.
  • Short (1 hour): an overview, not deep coverage.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

  • Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
  • Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.

Taught by

  • Andrew NgInstructor, Founder, DeepLearning.AI & Co-founder, Coursera
  • Nikita NamjoshiDeveloper Advocate for Generative AI, Google Cloud

DeepLearning.AI is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (90/100). Andrew Ng's courses.

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