We may earn an affiliate commission when you visit our partners.
Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console.
Read more
This is a self-paced lab that takes place in the Google Cloud console.
Read more
This is a self-paced lab that takes place in the Google Cloud console.
In this lab, you will explore how to perform summarization of source code from GitHub repos and identification of the language of programming in the repo, using Vertex AI Large Language Model (LLM) for text generation.
Register for this course and see more details by visiting:
OpenCourser.com/course/5o30i8/summarize
Two deals to help you save
We found two deals and offers that may be relevant to this course.
Save money when you learn.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
What's inside
Syllabus
Summarize Text using SQL and LLMs in BigQuery ML
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops data analysis skills in BigQuery ML, which are core for data scientists
Suitable for learners interested in building language-analysis skills for AI
Uses Google Cloud Console for hands-on practice, which is industry-standard
Taught by Google Cloud Training, who are recognized for their expertise in cloud computing and machine learning
Recommended for individuals interested in a comprehensive study of language-analysis AI techniques
Save this course
Save Summarize Text using SQL and LLMs in BigQuery ML to your list so you can find it easily later:
Save
Save
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Summarize Text using SQL and LLMs in BigQuery ML with these
activities:
Organize and review course materials
Show steps
Enhance your learning by organizing and reviewing course materials effectively.
Browse courses on
Study Skills
Show steps
-
Create a dedicated folder or notebook for course materials.
-
Categorize and organize notes, slides, assignments, and other resources.
-
Regularly review your materials to reinforce your understanding.
Review natural language processing (NLP) fundamentals
Show steps
Revisit the basics of NLP to strengthen your understanding of the course material.
Browse courses on
Machine Learning
Show steps
-
Read through your existing NLP notes or textbooks.
-
Complete online tutorials or exercises on NLP fundamentals.
Identify a real-world problem that can be solved using text summarization
Show steps
Connect your learning to practical applications by identifying a problem that can be addressed with text summarization.
Browse courses on
Problem Identification
Show steps
-
Brainstorm different industries or domains where text summarization can be beneficial.
-
Research specific challenges within these domains that could be solved using summaries.
Two other activities
Expand to see all activities and additional details
Show all five activities
Practice summarizing text using Python
Show steps
Develop your proficiency in summarizing text using Python code.
Browse courses on
Python Programming
Show steps
-
Find online exercises or coding challenges that involve summarizing text in Python.
-
Work through the exercises, debugging and refining your code as needed.
-
Compare your results with provided solutions or ask for feedback from peers or mentors.
Explore advanced NLP models for text summarization
Show steps
Expand your knowledge of NLP by exploring cutting-edge models for text summarization.
Browse courses on
NLP Models
Show steps
-
Identify reputable sources for tutorials on advanced NLP models.
-
Follow the tutorials to understand the theory and implementation of these models.
-
Experiment with different models and compare their performance on various datasets.
Organize and review course materials
Show steps
Enhance your learning by organizing and reviewing course materials effectively.
Browse courses on
Study Skills
Show steps
Show steps
Show steps
- Create a dedicated folder or notebook for course materials.
- Categorize and organize notes, slides, assignments, and other resources.
- Regularly review your materials to reinforce your understanding.
Review natural language processing (NLP) fundamentals
Show steps
Revisit the basics of NLP to strengthen your understanding of the course material.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Read through your existing NLP notes or textbooks.
- Complete online tutorials or exercises on NLP fundamentals.
Identify a real-world problem that can be solved using text summarization
Show steps
Connect your learning to practical applications by identifying a problem that can be addressed with text summarization.
Browse courses on
Problem Identification
Show steps
Show steps
Show steps
- Brainstorm different industries or domains where text summarization can be beneficial.
- Research specific challenges within these domains that could be solved using summaries.
Two other activities
Expand to see all activities and additional details
Show all five activities
Practice summarizing text using Python
Show steps
Develop your proficiency in summarizing text using Python code.
Browse courses on
Python Programming
Show steps
Show steps
Show steps
- Find online exercises or coding challenges that involve summarizing text in Python.
- Work through the exercises, debugging and refining your code as needed.
- Compare your results with provided solutions or ask for feedback from peers or mentors.
Explore advanced NLP models for text summarization
Show steps
Expand your knowledge of NLP by exploring cutting-edge models for text summarization.
Browse courses on
NLP Models
Show steps
Show steps
Show steps
- Identify reputable sources for tutorials on advanced NLP models.
- Follow the tutorials to understand the theory and implementation of these models.
- Experiment with different models and compare their performance on various datasets.
Career center
Learners who complete Summarize Text using SQL and LLMs in BigQuery ML will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist is responsible for using data to solve business problems. This course can help you build a foundation in data science, which is essential for this role. You will learn how to use SQL and LLMs to summarize text data, which can be useful for data exploration and modeling.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer is responsible for designing, developing, and deploying machine learning models. This course can help you build a strong foundation in machine learning, which is essential for this role. You will learn how to use SQL and LLMs to summarize text data, which can be useful for feature engineering and model training.
Data Analyst
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data to identify trends and patterns. This course can help you build a foundation in data analysis and machine learning, which are essential skills for this role. You will learn how to use SQL and LLMs to summarize text data, which can be useful for identifying insights from customer feedback, social media data, or other unstructured text sources.
Software Engineer
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software applications. This course can help you build a foundation in software engineering, which is essential for this role. You will learn how to use SQL and LLMs to summarize text data, which can be useful for requirements gathering, documentation, and code generation.
Product Manager
Product Manager
A Product Manager is responsible for managing the development and launch of new products. This course can help you build a foundation in product management, which is essential for this role. You will learn how to use SQL and LLMs to summarize text data, which can be useful for market research, customer feedback analysis, and product planning.
Business Analyst
Business Analyst
A Business Analyst is responsible for analyzing business processes and identifying opportunities for improvement. This course can help you build a foundation in business analysis, which is essential for this role. You will learn how to use SQL and LLMs to summarize text data, which can be useful for requirements gathering, process documentation, and stakeholder analysis.
UX Designer
UX Designer
A UX Designer is responsible for designing the user experience of websites and mobile applications. This course can help you build a foundation in UX design, which is essential for this role. You will learn how to use SQL and LLMs to summarize text data, which can be useful for user research, persona development, and wireframing.
Content Writer
Content Writer
A Content Writer is responsible for writing engaging and informative content for websites, blogs, and other marketing materials. This course can help you build a foundation in content writing, which is essential for this role. You will learn how to use SQL and LLMs to summarize text data, which can be useful for research, topic generation, and content creation.
Technical Writer
Technical Writer
A Technical Writer is responsible for writing technical documentation, such as user guides, white papers, and API documentation. This course can help you build a foundation in technical writing, which is essential for this role. You will learn how to use SQL and LLMs to summarize text data, which can be useful for extracting key information from technical documents and creating clear and concise documentation.
Information Architect
Information Architect
An Information Architect is responsible for designing and organizing the structure and content of websites, intranets, and other information systems. This course can help you build a foundation in information architecture, which is essential for this role. You will learn how to use SQL and LLMs to summarize text data, which can be useful for content inventory, site mapping, and navigation design.
Instructional Designer
Instructional Designer
An Instructional Designer is responsible for designing and developing learning materials, such as online courses, training manuals, and workshops. This course can help you build a foundation in instructional design, which is essential for this role. You will learn how to use SQL and LLMs to summarize text data, which can be useful for needs analysis, learning objectives development, and content creation.
Knowledge Management Specialist
Knowledge Management Specialist
A Knowledge Management Specialist is responsible for creating and managing knowledge bases and repositories. This course can help you build a foundation in knowledge management, which is essential for this role. You will learn how to use SQL and LLMs to summarize text data, which can be useful for content curation, taxonomy development, and search engine optimization.
Librarian
Librarian
A Librarian is responsible for managing and providing access to information resources. This course may be useful for this role, as it can help you build a foundation in information retrieval and management. You will learn how to use SQL and LLMs to summarize text data, which can be useful for cataloging, indexing, and search engine optimization.
Archivist
Archivist
An Archivist is responsible for preserving and managing historical records. This course may be useful for this role, as it can help you build a foundation in digital preservation and archival management. You will learn how to use SQL and LLMs to summarize text data, which can be useful for document analysis, metadata extraction, and digital asset management.
Museum curator
Museum curator
A Museum Curator is responsible for managing and preserving museum collections. This course may be useful for this role, as it can help you build a foundation in museum studies and archival management. You will learn how to use SQL and LLMs to summarize text data, which can be useful for cataloging, indexing, and digital asset management.
For more career information including salaries, visit:
OpenCourser.com/course/5o30i8/summarize
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Summarize Text using SQL and LLMs in BigQuery ML.
Comprehensive overview of deep learning techniques for natural language processing. It covers a wide range of NLP tasks, from basic text classification to advanced machine translation.
Practical guide to machine learning techniques for natural language processing. It covers a wide range of NLP tasks, from basic text classification to advanced machine translation.
Comprehensive overview of speech and language processing.
Practical guide to natural language processing using the Python programming language and the NLTK library. It covers a wide range of NLP tasks, from basic text processing to advanced machine learning techniques.
Comprehensive overview of the statistical foundations of natural language processing.
Practical guide to natural language processing using the Python programming language.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/5o30i8/summarize
Share
Similar courses
Here are nine courses similar to
Summarize Text using SQL and LLMs in BigQuery ML.
Translate Text with the Cloud Translation API
OpenCourser.com/course/32mtqg/translate
Translate Text with the Cloud Translation API
Entity and Sentiment Analysis with the Natural Language API
OpenCourser.com/course/ummaxs/entity
Entity and Sentiment Analysis with the Natural Language...
Using the Natural Language API from Google Docs
OpenCourser.com/course/ty41u2/using
Using the Natural Language API from Google Docs
Classify Text into Categories with the Natural Language API
OpenCourser.com/course/t0zgka/classify
Classify Text into Categories with the Natural Language...
Learning TensorFlow: the Hello World of Machine Learning
OpenCourser.com/course/3ppgn5/learning
Learning TensorFlow: the Hello World of Machine Learning
Getting Started with Neo4J Enterprise on Google Cloud
OpenCourser.com/course/ma2lmb/getting
Getting Started with Neo4J Enterprise on Google Cloud
App Deployment, Debugging, and Performance
OpenCourser.com/course/zx42e5/app
App Deployment, Debugging, and Performance
Extract, Analyze, and Translate Text from Images with the Cloud ML APIs
OpenCourser.com/course/6wzu09/extract
Extract, Analyze, and Translate Text from Images with the...
Securing and Integrating Components of your Application
OpenCourser.com/course/kc8exb/securing
Securing and Integrating Components of your Application
Effort
60 minutes
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Develops data analysis skills in BigQuery ML, which are core for data scientists
Suitable for learners interested in building language-analysis skills for AI
Uses Google Cloud Console for hands-on practice, which is industry-standard
Taught by Google Cloud Training, who are recognized for their expertise in cloud computing and machine learning
Recommended for individuals interested in a comprehensive study of language-analysis AI techniques
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser