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Build LangChain Applications using Vertex AI
Challenge Lab
Google Cloud Training
Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. This challenge lab tests your skills and knowledge from the labs in the Build LangChain Applications using Vertex AI quest. You should be familiar with the content of the prior labs before attempting this challenge.
Register for this course and see more details by visiting:
OpenCourser.com/course/qbvjyq/build
What's inside
Syllabus
Build LangChain Applications using Vertex AI: Challenge Lab
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides hands-on practice through labs, fostering practical skills development
Aimed at learners with prior knowledge, ensuring effective utilization of the content
Imparts skills and knowledge highly sought after by the industry
Taught by Google Cloud Training, renowned experts in the field
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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 Build LangChain Applications using Vertex AI: Challenge Lab with these
activities:
Read 'Deep Learning with Python'
Show steps
Expand your knowledge of deep learning concepts and techniques.
View
Deep Learning with Python, Second Edition
on Amazon
Show steps
-
Read the book thoroughly, focusing on chapters relevant to the course material.
-
Take notes and summarize key concepts.
-
Complete the exercises and assignments provided in the book.
Refresher Course on Natural Language Processing
Show steps
Refresh your knowledge of the fundamentals of natural language processing, including the core concepts, techniques, and tools used in this field.
Browse courses on
Natural Language Processing
Show steps
-
Review the basics of natural language processing, including text preprocessing, tokenization, and stemming.
-
Explore different natural language processing techniques, such as text classification, named entity recognition, and machine translation.
-
Practice implementing natural language processing algorithms using popular libraries such as NLTK or spaCy.
Solve Coding Problems on LeetCode or HackerRank
Show steps
Sharpen your coding skills and problem-solving abilities by solving coding challenges on platforms like LeetCode or HackerRank, which will enhance your understanding of the core concepts covered in this course.
Browse courses on
Algorithms
Show steps
-
Choose a coding challenge platform and start solving problems.
-
Focus on understanding the problem statement and designing an efficient solution.
-
Implement your solution in your preferred programming language.
-
Test and debug your code to ensure it meets the requirements.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Join a Study Group for Course Discussions
Show steps
Enhance your learning experience by joining a study group with fellow learners, where you can engage in discussions, share insights, and support each other's understanding of the course material.
Show steps
-
Find a study group or create your own with classmates or online.
-
Meet regularly to discuss course concepts, assignments, and projects.
-
Share notes, resources, and ideas with the group.
Practice Guided Data Labeling
Show steps
Reinforce your understanding of guided data labeling techniques.
Browse courses on
Data Labeling
Show steps
-
Review the guided data labeling documentation.
-
Complete the guided data labeling tutorial.
-
Create your own guided data labeling dataset and label a small set of data.
Follow Hands-on Tutorials on Vertex AI
Show steps
Enhance your practical skills by following guided tutorials and hands-on exercises that provide step-by-step instructions for building and deploying machine learning models with Vertex AI.
Browse courses on
Vertex AI
Show steps
-
Explore the official Vertex AI documentation and tutorials.
-
Follow online courses or tutorials on platforms like Coursera or Udemy.
-
Join online communities and forums to connect with other Vertex AI users and experts.
Explore Vertex AI Pipelines
Show steps
Expand your knowledge of Vertex AI pipelines and their use in machine learning.
Browse courses on
Vertex AI Pipelines
Show steps
-
Read the Vertex AI Pipelines documentation.
-
Follow the Vertex AI Pipelines tutorial.
-
Create your own Vertex AI pipeline for a simple machine learning task.
Volunteer as a Mentor for Junior Learners
Show steps
Reinforce your understanding of the course material and develop your communication skills by volunteering as a mentor for junior learners or students who are new to the field of machine learning and artificial intelligence.
Browse courses on
Mentoring
Show steps
-
Identify opportunities to mentor junior learners through organizations or online platforms.
-
Prepare materials and resources to support your mentees.
-
Provide guidance and support to your mentees as they learn and grow.
Build a Machine Learning Pipeline using Vertex AI
Show steps
Solidify your understanding by creating a complete machine learning pipeline using Vertex AI, covering data preprocessing, model training, evaluation, and deployment.
Browse courses on
Machine Learning Pipeline
Show steps
-
Define the problem you want to solve and gather the necessary data.
-
Preprocess the data and prepare it for modeling.
-
Select and train a machine learning model using Vertex AI.
-
Evaluate the model's performance and fine-tune it as needed.
-
Deploy the model and monitor its performance in production.
Build a Machine Learning Model with Vertex AI
Show steps
Demonstrate your understanding of building and deploying machine learning models using Vertex AI.
Browse courses on
Machine Learning Model
Show steps
-
Choose a machine learning problem to solve.
-
Collect and prepare your data.
-
Train and evaluate your model using Vertex AI.
-
Deploy your model and monitor its performance.
Develop a Language-Based AI Application
Show steps
Apply your skills to develop a meaningful language-based AI application that addresses a real-world problem.
Browse courses on
Natural Language Processing
Show steps
-
Identify a problem that can be solved using language-based AI.
-
Design and implement your application using Vertex AI.
-
Test and evaluate your application's performance.
-
Deploy your application and monitor its usage.
Read 'Deep Learning with Python'
Show steps
Expand your knowledge of deep learning concepts and techniques.
View
Deep Learning with Python, Second Edition
on Amazon
Show steps
Show steps
Show steps
- Read the book thoroughly, focusing on chapters relevant to the course material.
- Take notes and summarize key concepts.
- Complete the exercises and assignments provided in the book.
Refresher Course on Natural Language Processing
Show steps
Refresh your knowledge of the fundamentals of natural language processing, including the core concepts, techniques, and tools used in this field.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Review the basics of natural language processing, including text preprocessing, tokenization, and stemming.
- Explore different natural language processing techniques, such as text classification, named entity recognition, and machine translation.
- Practice implementing natural language processing algorithms using popular libraries such as NLTK or spaCy.
Solve Coding Problems on LeetCode or HackerRank
Show steps
Sharpen your coding skills and problem-solving abilities by solving coding challenges on platforms like LeetCode or HackerRank, which will enhance your understanding of the core concepts covered in this course.
Browse courses on
Algorithms
Show steps
Show steps
Show steps
- Choose a coding challenge platform and start solving problems.
- Focus on understanding the problem statement and designing an efficient solution.
- Implement your solution in your preferred programming language.
- Test and debug your code to ensure it meets the requirements.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Join a Study Group for Course Discussions
Show steps
Enhance your learning experience by joining a study group with fellow learners, where you can engage in discussions, share insights, and support each other's understanding of the course material.
Show steps
Show steps
Show steps
- Find a study group or create your own with classmates or online.
- Meet regularly to discuss course concepts, assignments, and projects.
- Share notes, resources, and ideas with the group.
Practice Guided Data Labeling
Show steps
Reinforce your understanding of guided data labeling techniques.
Browse courses on
Data Labeling
Show steps
Show steps
Show steps
- Review the guided data labeling documentation.
- Complete the guided data labeling tutorial.
- Create your own guided data labeling dataset and label a small set of data.
Follow Hands-on Tutorials on Vertex AI
Show steps
Enhance your practical skills by following guided tutorials and hands-on exercises that provide step-by-step instructions for building and deploying machine learning models with Vertex AI.
Browse courses on
Vertex AI
Show steps
Show steps
Show steps
- Explore the official Vertex AI documentation and tutorials.
- Follow online courses or tutorials on platforms like Coursera or Udemy.
- Join online communities and forums to connect with other Vertex AI users and experts.
Explore Vertex AI Pipelines
Show steps
Expand your knowledge of Vertex AI pipelines and their use in machine learning.
Browse courses on
Vertex AI Pipelines
Show steps
Show steps
Show steps
- Read the Vertex AI Pipelines documentation.
- Follow the Vertex AI Pipelines tutorial.
- Create your own Vertex AI pipeline for a simple machine learning task.
Volunteer as a Mentor for Junior Learners
Show steps
Reinforce your understanding of the course material and develop your communication skills by volunteering as a mentor for junior learners or students who are new to the field of machine learning and artificial intelligence.
Browse courses on
Mentoring
Show steps
Show steps
Show steps
- Identify opportunities to mentor junior learners through organizations or online platforms.
- Prepare materials and resources to support your mentees.
- Provide guidance and support to your mentees as they learn and grow.
Build a Machine Learning Pipeline using Vertex AI
Show steps
Solidify your understanding by creating a complete machine learning pipeline using Vertex AI, covering data preprocessing, model training, evaluation, and deployment.
Browse courses on
Machine Learning Pipeline
Show steps
Show steps
Show steps
- Define the problem you want to solve and gather the necessary data.
- Preprocess the data and prepare it for modeling.
- Select and train a machine learning model using Vertex AI.
- Evaluate the model's performance and fine-tune it as needed.
- Deploy the model and monitor its performance in production.
Build a Machine Learning Model with Vertex AI
Show steps
Demonstrate your understanding of building and deploying machine learning models using Vertex AI.
Browse courses on
Machine Learning Model
Show steps
Show steps
Show steps
- Choose a machine learning problem to solve.
- Collect and prepare your data.
- Train and evaluate your model using Vertex AI.
- Deploy your model and monitor its performance.
Develop a Language-Based AI Application
Show steps
Apply your skills to develop a meaningful language-based AI application that addresses a real-world problem.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Identify a problem that can be solved using language-based AI.
- Design and implement your application using Vertex AI.
- Test and evaluate your application's performance.
- Deploy your application and monitor its usage.
Career center
Learners who complete Build LangChain Applications using Vertex AI: Challenge Lab will develop knowledge and skills
that may be useful to these careers:
For more career information including salaries, visit:
OpenCourser.com/course/qbvjyq/build
Reading list
We haven't picked any books for this reading list yet.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/qbvjyq/build
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Effort
90 minutes
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Session
August 26, 2024
- September 9, 2024
Language
English
Good to know
Provides hands-on practice through labs, fostering practical skills development
Aimed at learners with prior knowledge, ensuring effective utilization of the content
Imparts skills and knowledge highly sought after by the industry
Taught by Google Cloud Training, renowned experts in the field
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