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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 will train a simple machine learning model for predicting helpdesk response time using BigQuery Machine Learning.
Register for this course and see more details by visiting:
OpenCourser.com/course/n4oagu/integrating
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What's inside
Syllabus
Integrating BigQuery ML with Dialogflow ES Chatbot
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Appropriate for those new to machine learning
Explores industry-standard BigQuery Machine Learning
Provides practical experience with a self-paced lab
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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 Integrating BigQuery ML with Dialogflow ES Chatbot with these
activities:
Practice Exercises on BigQuery ML Query Language
Show steps
Reinforce understanding of BigQuery ML query language through repetitive exercises, improving syntax proficiency and query optimization skills.
Browse courses on
BigQuery ML
Show steps
-
Write queries to predict numerical and categorical values
-
Use advanced query features such as cross-validation and feature importance
Interactive Tutorial on BigQuery ML
Show steps
Explore and interact with the BigQuery ML API to gain hands-on experience with supervised machine learning.
Browse courses on
BigQuery ML
Show steps
-
Sign up for a Google Cloud Platform account
-
Create a Big Query dataset
-
Run a sample linear regression query
Literature Review on BigQuery ML Applications
Show steps
Enhance understanding of real-world applications of BigQuery ML by reviewing and summarizing research papers and case studies.
Browse courses on
BigQuery ML
Show steps
-
Search for relevant literature
-
Read and synthesize the findings
-
Create a structured summary or presentation
Four other activities
Expand to see all activities and additional details
Show all seven activities
Guided Tutorial on Deploying a ML model to Dialogflow
Show steps
Follow a guided tutorial to integrate a trained ML model with a Dialogflow chatbot, enhancing chatbot responses with predictive insights.
Browse courses on
Dialogflow
Show steps
-
Create a Dialogflow agent
-
Build and deploy a Node.js fulfillment function
-
Integrate the ML model with the fulfillment function
Build a Predictive Helpdesk Chatbot Prototype
Show steps
Demonstrate mastery by creating a functional chatbot prototype that leverages BigQuery ML to predict helpdesk response times, enhancing the user experience.
Browse courses on
Dialogflow
Show steps
-
Design the chatbot interface and functionality
-
Implement the chatbot logic and integrate with BigQuery ML
-
Test and refine the chatbot's performance
Contribute to the BigQuery ML Open Source Project
Show steps
Gain practical experience and contribute to the community by reporting bugs, suggesting enhancements, or contributing code to the BigQuery ML open-source project.
Browse courses on
BigQuery ML
Show steps
-
Review the project documentation
-
Identify an area for contribution
-
Make a pull request with your proposed changes
Participate in a Machine Learning Hackathon
Show steps
Challenge oneself and gain valuable experience by participating in a hackathon focused on machine learning, showcasing skills and collaborating with others.
Browse courses on
Machine Learning
Show steps
-
Find a hackathon that aligns with interests
-
Form a team or work individually
-
Develop and submit a project that addresses the hackathon challenge
Practice Exercises on BigQuery ML Query Language
Show steps
Reinforce understanding of BigQuery ML query language through repetitive exercises, improving syntax proficiency and query optimization skills.
Browse courses on
BigQuery ML
Show steps
Show steps
Show steps
- Write queries to predict numerical and categorical values
- Use advanced query features such as cross-validation and feature importance
Interactive Tutorial on BigQuery ML
Show steps
Explore and interact with the BigQuery ML API to gain hands-on experience with supervised machine learning.
Browse courses on
BigQuery ML
Show steps
Show steps
Show steps
- Sign up for a Google Cloud Platform account
- Create a Big Query dataset
- Run a sample linear regression query
Literature Review on BigQuery ML Applications
Show steps
Enhance understanding of real-world applications of BigQuery ML by reviewing and summarizing research papers and case studies.
Browse courses on
BigQuery ML
Show steps
Show steps
Show steps
- Search for relevant literature
- Read and synthesize the findings
- Create a structured summary or presentation
Four other activities
Expand to see all activities and additional details
Show all seven activities
Guided Tutorial on Deploying a ML model to Dialogflow
Show steps
Follow a guided tutorial to integrate a trained ML model with a Dialogflow chatbot, enhancing chatbot responses with predictive insights.
Browse courses on
Dialogflow
Show steps
Show steps
Show steps
- Create a Dialogflow agent
- Build and deploy a Node.js fulfillment function
- Integrate the ML model with the fulfillment function
Build a Predictive Helpdesk Chatbot Prototype
Show steps
Demonstrate mastery by creating a functional chatbot prototype that leverages BigQuery ML to predict helpdesk response times, enhancing the user experience.
Browse courses on
Dialogflow
Show steps
Show steps
Show steps
- Design the chatbot interface and functionality
- Implement the chatbot logic and integrate with BigQuery ML
- Test and refine the chatbot's performance
Contribute to the BigQuery ML Open Source Project
Show steps
Gain practical experience and contribute to the community by reporting bugs, suggesting enhancements, or contributing code to the BigQuery ML open-source project.
Browse courses on
BigQuery ML
Show steps
Show steps
Show steps
- Review the project documentation
- Identify an area for contribution
- Make a pull request with your proposed changes
Participate in a Machine Learning Hackathon
Show steps
Challenge oneself and gain valuable experience by participating in a hackathon focused on machine learning, showcasing skills and collaborating with others.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Find a hackathon that aligns with interests
- Form a team or work individually
- Develop and submit a project that addresses the hackathon challenge
Career center
Learners who complete Integrating BigQuery ML with Dialogflow ES Chatbot will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, builds, deploys, and maintains machine learning models. They work with data scientists to gather and prepare data, and they develop algorithms to train and evaluate models. Machine Learning Engineers also work with software engineers to integrate models into applications. This course may be useful for Machine Learning Engineers who want to learn how to use BigQuery Machine Learning to train and deploy models.
Data Scientist
Data Scientist
A Data Scientist uses data to solve business problems. They collect, clean, and analyze data to identify patterns and trends. Data Scientists also develop models to predict future outcomes and make recommendations. This course may be useful for Data Scientists who want to learn how to use BigQuery Machine Learning to train and deploy models.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. They work with users to gather requirements and design software solutions. Software Engineers also write code, test applications, and deploy them to production. This course may be useful for Software Engineers who want to learn how to integrate BigQuery Machine Learning models into applications.
Business Analyst
Business Analyst
A Business Analyst identifies and solves business problems using data. They work with stakeholders to understand business needs and develop solutions that meet those needs. Business Analysts also track and measure the success of solutions. This course may be useful for Business Analysts who want to learn how to use BigQuery Machine Learning to identify and solve business problems.
Product Manager
Product Manager
A Product Manager is responsible for the development and launch of new products. They work with engineers, designers, and marketers to create products that meet customer needs. Product Managers also track and measure the success of products. This course may be useful for Product Managers who want to learn how to use BigQuery Machine Learning to identify and solve customer problems.
Marketing Analyst
Marketing Analyst
A Marketing Analyst uses data to measure the effectiveness of marketing campaigns. They collect, clean, and analyze data to identify trends and patterns. Marketing Analysts also develop models to predict future outcomes and make recommendations. This course may be useful for Marketing Analysts who want to learn how to use BigQuery Machine Learning to measure the effectiveness of marketing campaigns.
Financial Analyst
Financial Analyst
A Financial Analyst uses data to make investment decisions. They collect, clean, and analyze data to identify trends and patterns. Financial Analysts also develop models to predict future outcomes and make recommendations. This course may be useful for Financial Analysts who want to learn how to use BigQuery Machine Learning to make investment decisions.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses data to solve business problems. They work with businesses to identify and solve problems related to logistics, scheduling, and inventory management. Operations Research Analysts also develop models to predict future outcomes and make recommendations. This course may be useful for Operations Research Analysts who want to learn how to use BigQuery Machine Learning to solve business problems.
Statistician
Statistician
A Statistician collects, analyzes, interprets, and presents data. They work with businesses and organizations to help them understand their data and make informed decisions. Statisticians also develop models to predict future outcomes and make recommendations. This course may be useful for Statisticians who want to learn how to use BigQuery Machine Learning to analyze data and make predictions.
Data Engineer
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines. They work with data scientists and engineers to collect, clean, and transform data. Data Engineers also develop tools and processes to automate data processing tasks. This course may be useful for Data Engineers who want to learn how to use BigQuery Machine Learning to train and deploy models.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases. They work with database users to ensure that data is accurate and accessible. Database Administrators also develop and implement security measures to protect data. This course may be useful for Database Administrators who want to learn how to use BigQuery Machine Learning to analyze data and identify trends.
Systems Analyst
Systems Analyst
A Systems Analyst designs, develops, and implements computer systems. They work with businesses and organizations to identify and solve business problems. Systems Analysts also develop and implement security measures to protect data. This course may be useful for Systems Analysts who want to learn how to use BigQuery Machine Learning to analyze data and identify trends.
Information Security Analyst
Information Security Analyst
An Information Security Analyst protects computer systems and data from unauthorized access. They work with businesses and organizations to identify and mitigate security risks. Information Security Analysts also develop and implement security measures to protect data. This course may be useful for Information Security Analysts who want to learn how to use BigQuery Machine Learning to identify and mitigate security risks.
Network Administrator
Network Administrator
A Network Administrator manages and maintains computer networks. They work with businesses and organizations to ensure that networks are reliable and secure. Network Administrators also develop and implement security measures to protect data. This course may be useful for Network Administrators who want to learn how to use BigQuery Machine Learning to analyze data and identify trends.
Computer Programmer
Computer Programmer
A Computer Programmer writes and maintains computer code. They work with businesses and organizations to develop and implement computer systems. Computer Programmers also develop and implement security measures to protect data. This course may be useful for Computer Programmers who want to learn how to use BigQuery Machine Learning to analyze data and identify trends.
For more career information including salaries, visit:
OpenCourser.com/course/n4oagu/integrating
Reading list
We've selected nine 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
Integrating BigQuery ML with Dialogflow ES Chatbot.
Provides a comprehensive overview of natural language processing, including topics such as tokenization, stemming, and machine learning. Useful for providing background knowledge on natural language processing.
Provides a comprehensive overview of deep learning, including topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks. Useful for providing more depth on the machine learning aspect of the course.
Provides a practical guide to machine learning with Scikit-Learn, Keras, and TensorFlow. Useful for providing additional reading on how to use these tools for machine learning.
Provides a comprehensive overview of machine learning with R, including topics such as supervised learning, unsupervised learning, and deep learning. Useful for providing more depth on the machine learning aspect of the course.
Provides a gentle introduction to machine learning. Useful for providing background knowledge on machine learning.
Save
Provides a comprehensive overview of big data, including its history, challenges, and opportunities. Useful for providing background knowledge on big data.
Provides a practical guide to data analytics. Useful for providing additional reading on how to use data analytics in practice.
Provides a comprehensive overview of Python for data analysis. Useful for providing additional reading on how to use Python for data analysis.
Save
Provides a comprehensive overview of R for data science. Useful for providing additional reading on how to use R for data science.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/n4oagu/integrating
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Effort
1 hour
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Appropriate for those new to machine learning
Explores industry-standard BigQuery Machine Learning
Provides practical experience with a self-paced lab
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