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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console.In this lab, you build and deploy an AI-based chat application on Cloud Run that utilizes the PaLM 2 API's Chat Bison model (text-chat).
Register for this course and see more details by visiting:
OpenCourser.com/course/baoxa6/build
What's inside
Syllabus
Build a Chat Application using the PaLM 2 API on Cloud Run
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Taught by Google Cloud Training, experts recognized for their work in AI-powered chat technology
Guides learners through building a fully functional AI-powered chat application on Cloud Run using PaLM 2 API's Chat Bison model
Suitable for learners with a foundational understanding of AI and cloud computing, particularly those interested in developing AI-powered chatbots
May require additional prerequisite knowledge or experience in specific programming frameworks or APIs
Self-paced format allows learners to progress at their own speed and schedule
Engages learners in hands-on exercises and interactive materials, providing practical experience
Save this course
Save Build a Chat Application using the PaLM 2 API on Cloud Run to your list so you can find it easily later:
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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 a Chat Application using the PaLM 2 API on Cloud Run with these
activities:
Connect with professionals in the field
Show steps
Expand your network by connecting with professionals working in conversational AI. Seek guidance and learn from their experiences to enhance your professional growth.
Browse courses on
Networking
Show steps
-
Attend industry events and conferences
-
Join online communities and forums
-
Reach out to individuals via LinkedIn or email
Review essential concepts
Show steps
Begin by thoroughly reviewing fundamental concepts in natural language processing and AI to enhance comprehension during the course.
Browse courses on
Natural Language Processing
Show steps
-
Review basic NLP concepts (e.g., tokenization, stemming, vectorization)
-
Revisit key AI algorithms (e.g., supervised learning, unsupervised learning)
Build a chatbot prototype
Show steps
Reinforce your understanding by building a simple chatbot prototype using tutorials and resources. This hands-on experience will enhance your practical skills.
Browse courses on
Chatbot Development
Show steps
-
Choose a chatbot development platform (e.g., Dialogflow, Botsify)
-
Follow tutorials to create a basic chatbot
-
Implement features (e.g., text input, response generation)
Five other activities
Expand to see all activities and additional details
Show all eight activities
Curate a collection of resources
Show steps
Gather and organize relevant resources (e.g., articles, videos, tutorials) on conversational AI to supplement your learning and stay updated on advancements.
Browse courses on
Conversational AI
Show steps
-
Identify and collect resources from various sources
-
Organize and categorize the resources
-
Share your compilation with peers or online communities
Contribute to open-source projects
Show steps
Contribute to the conversational AI community by participating in open-source projects. This hands-on experience will broaden your knowledge and help you connect with others in the field.
Browse courses on
Open Source
Show steps
-
Identify open-source projects related to conversational AI
-
Contribute code, documentation, or support
-
Engage with the project community
Practice AI coding exercises
Show steps
Strengthen your AI coding skills through practice drills. Solving these exercises will improve your ability to apply concepts in a practical setting.
Browse courses on
AI Coding
Show steps
-
Join online coding platforms (e.g., LeetCode, HackerRank)
-
Attempt AI-related coding challenges
-
Review and optimize your solutions
Develop a personal AI assistant
Show steps
Challenge yourself by creating a personal AI assistant that performs tasks or provides information based on your preferences. This project will showcase your skills and enhance your understanding of AI applications.
Browse courses on
Natural Language Processing
Show steps
-
Define the scope and functionality of your assistant
-
Design and implement the AI model
-
Develop a user interface
-
Test and refine your assistant
Design a conversational AI strategy
Show steps
Apply your knowledge by developing a conversational AI strategy for a specific business scenario. This project will enhance your understanding of real-world applications.
Browse courses on
Customer Experience
Show steps
-
Identify a business use case for conversational AI
-
Research best practices and industry trends
-
Design a conversational AI solution (e.g., chatbot, virtual assistant)
-
Document your strategy
Connect with professionals in the field
Show steps
Expand your network by connecting with professionals working in conversational AI. Seek guidance and learn from their experiences to enhance your professional growth.
Browse courses on
Networking
Show steps
Show steps
Show steps
- Attend industry events and conferences
- Join online communities and forums
- Reach out to individuals via LinkedIn or email
Review essential concepts
Show steps
Begin by thoroughly reviewing fundamental concepts in natural language processing and AI to enhance comprehension during the course.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Review basic NLP concepts (e.g., tokenization, stemming, vectorization)
- Revisit key AI algorithms (e.g., supervised learning, unsupervised learning)
Build a chatbot prototype
Show steps
Reinforce your understanding by building a simple chatbot prototype using tutorials and resources. This hands-on experience will enhance your practical skills.
Browse courses on
Chatbot Development
Show steps
Show steps
Show steps
- Choose a chatbot development platform (e.g., Dialogflow, Botsify)
- Follow tutorials to create a basic chatbot
- Implement features (e.g., text input, response generation)
Five other activities
Expand to see all activities and additional details
Show all eight activities
Curate a collection of resources
Show steps
Gather and organize relevant resources (e.g., articles, videos, tutorials) on conversational AI to supplement your learning and stay updated on advancements.
Browse courses on
Conversational AI
Show steps
Show steps
Show steps
- Identify and collect resources from various sources
- Organize and categorize the resources
- Share your compilation with peers or online communities
Contribute to open-source projects
Show steps
Contribute to the conversational AI community by participating in open-source projects. This hands-on experience will broaden your knowledge and help you connect with others in the field.
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Identify open-source projects related to conversational AI
- Contribute code, documentation, or support
- Engage with the project community
Practice AI coding exercises
Show steps
Strengthen your AI coding skills through practice drills. Solving these exercises will improve your ability to apply concepts in a practical setting.
Browse courses on
AI Coding
Show steps
Show steps
Show steps
- Join online coding platforms (e.g., LeetCode, HackerRank)
- Attempt AI-related coding challenges
- Review and optimize your solutions
Develop a personal AI assistant
Show steps
Challenge yourself by creating a personal AI assistant that performs tasks or provides information based on your preferences. This project will showcase your skills and enhance your understanding of AI applications.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Define the scope and functionality of your assistant
- Design and implement the AI model
- Develop a user interface
- Test and refine your assistant
Design a conversational AI strategy
Show steps
Apply your knowledge by developing a conversational AI strategy for a specific business scenario. This project will enhance your understanding of real-world applications.
Browse courses on
Customer Experience
Show steps
Show steps
Show steps
- Identify a business use case for conversational AI
- Research best practices and industry trends
- Design a conversational AI solution (e.g., chatbot, virtual assistant)
- Document your strategy
Career center
Learners who complete Build a Chat Application using the PaLM 2 API on Cloud Run will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
As a Machine Learning Engineer, you will be responsible for building and deploying machine learning models. This course provides you with the skills you need to succeed in this role, including how to build a chat application using the PaLM 2 API on Cloud Run.
DevOps Engineer
DevOps Engineer
As a DevOps Engineer, you will be responsible for managing the development and operations of software applications. This course may be useful in this career path because it provides you with the skills you need to work with cloud computing platforms and deploy applications on Cloud Run.
Cloud Architect
Cloud Architect
As a Cloud Architect, you will be responsible for designing and managing cloud computing infrastructure. This course may be useful in this career path because it provides you with the skills you need to work with Google Cloud Platform and deploy applications on Cloud Run.
Software Engineer
Software Engineer
As a Software Engineer, you will be responsible for designing, developing, and maintaining software applications. This course may be useful in this career path because it provides you with the skills you need to work with cloud computing platforms and build web applications.
Web Developer
Web Developer
As a Web Developer, you will be responsible for designing and developing websites and applications. This course may be useful in this career path because it provides you with the skills you need to build web applications on Cloud Run.
Data Analyst
Data Analyst
As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting data in order to help businesses make better decisions. This course may be useful in this career path because it provides you with the skills you need to work with large datasets and build machine learning models.
Data Engineer
Data Engineer
As a Data Engineer, you will be responsible for managing the data infrastructure for an organization. This course may be useful in this career path because it provides you with the skills you need to work with large datasets and build machine learning models.
Data Scientist
Data Scientist
As a Data Scientist, you will be responsible for collecting, analyzing, and interpreting data in order to help businesses make better decisions. This course may be useful in this career path because it provides you with the skills you need to work with large datasets and build machine learning models.
Mobile App Developer
Mobile App Developer
As a Mobile App Developer, you will be responsible for designing and developing mobile applications. This course may be useful in this career path because it provides you with the skills you need to build mobile applications on Cloud Run.
Product Manager
Product Manager
As a Product Manager, you will be responsible for managing the development and launch of new products. This course may be useful in this career path because it provides you with the skills you need to understand user needs and build products that meet those needs.
Business Analyst
Business Analyst
As a Business Analyst, you will be responsible for analyzing business processes and identifying opportunities for improvement. This course may be useful in this career path because it provides you with the skills you need to understand user needs and build products that meet those needs.
Technical Writer
Technical Writer
As a Technical Writer, you will be responsible for writing documentation for software and other technical products. This course may be useful in this career path because it provides you with the skills you need to communicate complex technical information clearly and concisely.
UX Designer
UX Designer
As a UX Designer, you will be responsible for designing the user experience for websites and applications. This course may be useful in this career path because it provides you with the skills you need to understand user needs and build products that meet those needs.
Sales Engineer
Sales Engineer
As a Sales Engineer, you will be responsible for selling technical products and services to customers. This course may be useful in this career path because it provides you with the skills you need to understand customer needs and build products that meet those needs.
Project Manager
Project Manager
As a Project Manager, you will be responsible for planning, executing, and closing projects. This course may be useful in this career path because it provides you with the skills you need to manage projects and deliver results.
For more career information including salaries, visit:
OpenCourser.com/course/baoxa6/build
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
Build a Chat Application using the PaLM 2 API on Cloud Run.
Provides a comprehensive reference on the statistical approaches to NLP. It is an essential reference for anyone working in the field.
Save
Provides a comprehensive overview of deep learning, including natural language processing. It useful reference text that will be valuable to have on hand while taking this course.
Provides a comprehensive introduction to the use of neural networks in NLP, with a focus on deep learning. It would be useful as a reference for this course.
Save
Provides a comprehensive overview of deep learning for NLP, with a focus on practical techniques. It would be useful as a reference for this course.
Provides comprehensive coverage of NLP, with a focus on speech and language processing. It includes content on machine learning, deep learning and transformers. It useful reference book that will enhance your learning on this course.
Provides an introduction to NLP, with a focus on practical techniques. It useful reference guide.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/baoxa6/build
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Effort
90 minutes
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Taught by Google Cloud Training, experts recognized for their work in AI-powered chat technology
Guides learners through building a fully functional AI-powered chat application on Cloud Run using PaLM 2 API's Chat Bison model
Suitable for learners with a foundational understanding of AI and cloud computing, particularly those interested in developing AI-powered chatbots
May require additional prerequisite knowledge or experience in specific programming frameworks or APIs
Self-paced format allows learners to progress at their own speed and schedule
Engages learners in hands-on exercises and interactive materials, providing practical experience
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