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Innovating with Google Cloud Artificial Intelligence
Google Cloud Training
Google Cloud Training
Unlock the transformative power of AI and ML with Google Cloud. Explore how organizations leverage AI and ML to transform business processes. Learn online with Udacity.
Register for this course and see more details by visiting:
OpenCourser.com/course/wcw2n2/innovating
What's inside
Syllabus
In this introduction, you'll explore the course goals and preview each section.
In this section of the course, you'll explore many of those fundamental concepts.
Read more
Syllabus
In this introduction, you'll explore the course goals and preview each section.
In this section of the course, you'll explore many of those fundamental concepts.
Read more
In this section of the course, you'll explore four options to build ML models with Google Cloud: BigQuery ML, pre-trained APIs, AutoML, and custom training.
The course closes with a summary of the key points covered in each section and next steps to continue learning.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops fundamental concepts of machine learning (ML), which is standard in many industries
Describes various options and approaches to building ML models with Google Cloud, providing learners with a comprehensive understanding
Explores the transformative potential of artificial intelligence (AI) and ML, which is highly relevant in business and industry
Taught by Google Cloud Training, who are recognized for their work in AI and ML
Provides a strong foundation for beginners in AI and ML
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Activities
Coming soon
We're preparing activities for
Innovating with Google Cloud Artificial Intelligence.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Innovating with Google Cloud Artificial Intelligence will develop knowledge and skills
that may be useful to these careers:
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineers design, develop, implement, maintain, and manage AI systems. This course will be useful to Artificial Intelligence Engineers, particularly those working on business process automation. It introduces fundamental concepts of AI and ML, and four options to build ML models with Google Cloud.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers blend software engineering and AI. A Machine Learning Engineer will apply the course's instruction on how to build ML models, and how AI and ML can transform business processes to their work. This course may be useful to Machine Learning Engineers who are just starting out, or who feel they need to strengthen their theoretical and practical foundation in AI and ML.
Data Scientist
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data. Data Scientists may find this course particularly useful because of its emphasis on using AI and ML to solve real-world problems.
AI Researcher
AI Researcher
AI Researchers explore and develop new AI and ML algorithms and technologies. This course may be useful for AI Researchers who are interested in applying AI and ML to solve business problems.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve complex business problems. This course may be useful for Operations Research Analysts who want to learn how to use AI and ML to solve business problems.
Business Analyst
Business Analyst
Business Analysts work with stakeholders to identify business needs and opportunities, and then develop solutions to address those needs. This course will be useful to Business Analysts who want to leverage AI and ML technologies to improve business processes and outcomes.
Product Analyst
Product Analyst
Product Analysts define, prioritize, and manage the development of products that meet the needs of users. Product Analysts may find this course particularly useful because of its focus on using AI and ML to drive product development decisions.
Product Manager
Product Manager
Product Managers are responsible for the end-to-end development and management of products. This course may be useful for Product Managers who want to incorporate AI and ML into their products.
Data Engineer
Data Engineer
Data Engineers design, implement, and maintain data pipelines and systems. This course may be useful for Data Engineers who want to learn how to incorporate AI and ML into their work.
Systems Analyst
Systems Analyst
Systems Analysts design, develop, and maintain computer systems. This course may be useful for Systems Analysts who want to learn how to incorporate AI and ML into their systems.
IT Architect
IT Architect
IT Architects design, develop, and manage IT systems. This course may be useful for IT Architects who want to learn how to incorporate AI and ML into their systems.
Full-Stack Developer
Full-Stack Developer
Full Stack Developers design, develop, and maintain both the front-end and back-end of web applications. This course may be useful for Full Stack Developers who want to learn how to build AI and ML-powered web applications.
Data Analyst
Data Analyst
Data Analysts analyze data to identify patterns, trends, and other useful information. Those working in AI or ML may find this course useful, particularly the parts on how to build ML models with Google Cloud.
Software Engineer
Software Engineer
Software Engineers apply software engineering principles and programming languages to the design, development, maintenance, testing, and evaluation of computer software. This course could be useful for Software Engineers who wish to add to their skillset and who are interested in developing new applications of AI and ML for business.
Management Consultant
Management Consultant
Management Consultants help businesses improve their performance by identifying and solving problems. This course could be useful for Management Consultants who want to learn how to use AI and ML to help their clients solve business problems.
For more career information including salaries, visit:
OpenCourser.com/course/wcw2n2/innovating
Reading list
We've selected ten 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
Innovating with Google Cloud Artificial Intelligence.
This practical guide offers hands-on experience with Python libraries for machine learning, providing valuable insights into model building and evaluation.
This hands-on guide focuses on practical implementation of machine learning models using popular Python libraries, providing valuable experience for students.
This practical guide focuses on implementing deep learning models using Fastai and PyTorch, providing hands-on experience with code.
This practical guide explores real-world applications of AI, providing insights into its potential impact across various industries.
This advanced textbook provides a comprehensive overview of statistical learning methods, offering a deeper understanding of AI algorithms.
Save
This comprehensive textbook covers the fundamentals of computer vision, offering a deeper understanding of image processing and analysis techniques.
This foundational textbook on reinforcement learning provides insights into the underlying principles and algorithms, suitable for readers with a strong technical background.
This advanced textbook presents a mathematical and statistical approach to machine learning, suitable for readers with a strong mathematical background.
Save
This advanced textbook covers deep learning theory and algorithms, offering a more comprehensive understanding of AI models for readers with a strong technical background.
This advanced textbook provides a comprehensive overview of probabilistic graphical models, offering a deeper understanding of AI algorithms for reasoning and inference.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/wcw2n2/innovating
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Effort
1 hour
Via
Udacity
Instructor
Google Cloud Training
Language
English
Good to know
Develops fundamental concepts of machine learning (ML), which is standard in many industries
Describes various options and approaches to building ML models with Google Cloud, providing learners with a comprehensive understanding
Explores the transformative potential of artificial intelligence (AI) and ML, which is highly relevant in business and industry
Taught by Google Cloud Training, who are recognized for their work in AI and ML
Provides a strong foundation for beginners in AI and ML
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