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Google Cloud Training
In this Google Cloud Lab, you will learn how to create the core components of a simple vision-based system to analyze a tennis serve using the Video Intelligence API and a pretrained AutoML Vision Object Detection model.
Note: you will have timed access to...
Read more
In this Google Cloud Lab, you will learn how to create the core components of a simple vision-based system to analyze a tennis serve using the Video Intelligence API and a pretrained AutoML Vision Object Detection model.
Note: you will have timed access to...
Read more
In this Google Cloud Lab, you will learn how to create the core components of a simple vision-based system to analyze a tennis serve using the Video Intelligence API and a pretrained AutoML Vision Object Detection model.
Note: you will have timed access to the online environment. You will need to complete the lab within the allotted time.
Register for this course and see more details by visiting:
OpenCourser.com/course/8sosdq/analyzing
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Course subject regularly used by professionals in industry
Instructors from Google Cloud, a highly recognized provider for cloud-based learning
Emphasizes skills and tools highly relevant to image analysis in the tech industry
Hands-on labs and interactive materials enhance practical skills
Prior knowledge in similar fields is expected
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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 Analyzing a Tennis Serve with the Video Intelligence API with these
activities:
Learn about using the Video Intelligence API and AutoML Vision Object Detection model
Show steps
Expand your understanding of the Video Intelligence API and AutoML Vision Object Detection model by following guided tutorials.
Show steps
-
Review the documentation for the Video Intelligence API
-
Complete the AutoML Vision Object Detection quickstart
Organize and review your course notes and materials
Show steps
Strengthen your comprehension by organizing and reviewing your course notes and materials, ensuring effective knowledge retention.
Browse courses on
Note-Taking
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-
Gather your notes, assignments, and other course materials
-
Organize and categorize the materials for easy access
-
Review your materials regularly to reinforce concepts
Discuss your progress and challenges with other students
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Enhance your learning by engaging in discussions with peers, sharing insights, and receiving feedback on your work.
Browse courses on
Machine Learning
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-
Join the course discussion forum
-
Share your experiences and ask questions
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create a simple vision-based system to analyze a tennis serve
Show steps
Solidify your understanding of the Video Intelligence API and AutoML Vision Object Detection model by creating a system to analyze a tennis serve.
Show steps
-
Set up your Google Cloud project and enable the Video Intelligence and AutoML Vision APIs
-
Create a Python script to use the APIs to analyze a video of a tennis serve
-
Test your system with different videos of tennis serves
Practice using the Video Intelligence API and AutoML Vision Object Detection model
Show steps
Gain proficiency in using the Video Intelligence API and AutoML Vision Object Detection model through practice drills.
Show steps
-
Use the Video Intelligence API to analyze videos of different objects
-
Use the AutoML Vision Object Detection model to detect objects in images
Attend a workshop on AI for computer vision
Show steps
Acquire new skills and enhance existing ones by attending a workshop focused on AI for computer vision.
Browse courses on
Computer Vision
Show steps
-
Identify and register for a relevant workshop
-
Attend the workshop and actively engage with the content
Contribute to an open-source project related to computer vision
Show steps
Apply your knowledge and skills practically by contributing to an open-source project in computer vision, fostering a deeper understanding.
Browse courses on
Open Source
Show steps
-
Identify an open-source project that aligns with your interests
-
Contribute to the project by submitting code or documentation
Learn about using the Video Intelligence API and AutoML Vision Object Detection model
Show steps
Expand your understanding of the Video Intelligence API and AutoML Vision Object Detection model by following guided tutorials.
Show steps
Show steps
Show steps
- Review the documentation for the Video Intelligence API
- Complete the AutoML Vision Object Detection quickstart
Organize and review your course notes and materials
Show steps
Strengthen your comprehension by organizing and reviewing your course notes and materials, ensuring effective knowledge retention.
Browse courses on
Note-Taking
Show steps
Show steps
Show steps
- Gather your notes, assignments, and other course materials
- Organize and categorize the materials for easy access
- Review your materials regularly to reinforce concepts
Discuss your progress and challenges with other students
Show steps
Enhance your learning by engaging in discussions with peers, sharing insights, and receiving feedback on your work.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Join the course discussion forum
- Share your experiences and ask questions
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create a simple vision-based system to analyze a tennis serve
Show steps
Solidify your understanding of the Video Intelligence API and AutoML Vision Object Detection model by creating a system to analyze a tennis serve.
Show steps
Show steps
Show steps
- Set up your Google Cloud project and enable the Video Intelligence and AutoML Vision APIs
- Create a Python script to use the APIs to analyze a video of a tennis serve
- Test your system with different videos of tennis serves
Practice using the Video Intelligence API and AutoML Vision Object Detection model
Show steps
Gain proficiency in using the Video Intelligence API and AutoML Vision Object Detection model through practice drills.
Show steps
Show steps
Show steps
- Use the Video Intelligence API to analyze videos of different objects
- Use the AutoML Vision Object Detection model to detect objects in images
Attend a workshop on AI for computer vision
Show steps
Acquire new skills and enhance existing ones by attending a workshop focused on AI for computer vision.
Browse courses on
Computer Vision
Show steps
Show steps
Show steps
- Identify and register for a relevant workshop
- Attend the workshop and actively engage with the content
Contribute to an open-source project related to computer vision
Show steps
Apply your knowledge and skills practically by contributing to an open-source project in computer vision, fostering a deeper understanding.
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Identify an open-source project that aligns with your interests
- Contribute to the project by submitting code or documentation
Career center
Learners who complete Analyzing a Tennis Serve with the Video Intelligence API will develop knowledge and skills
that may be useful to these careers:
Video Analyst
Video Analyst
Video Analysts analyze video footage, extracting insights and identifying patterns for various purposes. This course provides you with hands-on experience in using the Video Intelligence API and AutoML Vision Object Detection model, which are industry-standard tools for video analysis. This expertise will make you a valuable asset in any organization that leverages video.
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers analyze images and videos to create software that can recognize, interpret, and process visual information. In this role, you will gain experience with the Video Intelligence API and AutoML Vision Object Detection model, both of which contribute to this growing field. Through hands-on learning, you will gain expertise in video analysis and be well-equipped to join the industry.
Computer Vision Researcher
Computer Vision Researcher
Computer Vision Researchers strive to develop new techniques and algorithms for analyzing and interpreting visual information. This course provides you with practical knowledge of the Video Intelligence API and AutoML Vision Object Detection model, which are essential tools for pushing the boundaries of computer vision technology.
AI Engineer
AI Engineer
AI Engineers create, implement, and maintain AI systems, bringing advanced intelligence to various domains. This course on video analysis with the Video Intelligence API and AutoML Vision Object Detection model provides you with a specialized skill in visual AI, a rapidly growing field with many opportunities.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models, improving the performance of products and services. The knowledge gained in this course on the Video Intelligence API and AutoML Vision Object Detection model will provide you with a solid foundation in video analysis and object detection. This expertise will give you a competitive edge in the field.
Forensic Analyst
Forensic Analyst
Forensic Analysts examine and interpret evidence to aid in legal investigations. This course introduces you to the use of the Video Intelligence API and AutoML Vision Object Detection model for video analysis, empowering you with cutting-edge techniques to uncover insights from visual evidence.
Surveillance Analyst
Surveillance Analyst
Surveillance Analysts monitor and analyze video footage from security cameras, identifying suspicious activities. This course provides you with a comprehensive understanding of the Video Intelligence API and AutoML Vision Object Detection model, equipping you with the skills to effectively analyze surveillance footage and enhance security measures.
Robotics Scientist
Robotics Scientist
Robotics Scientists are involved in the design, development, and deployment of robots, enabling them to perceive, interpret, and interact with the world. This course covers the practical aspects of using the Video Intelligence API and AutoML Vision Object Detection model, which are key technologies for visual perception in robotics.
Data Analyst
Data Analyst
Data Analysts uncover insights from data, identifying trends and patterns to support decision-making. This course in video analysis with the Video Intelligence API and AutoML Vision Object Detection model equips you with specialized knowledge in analyzing visual data, a valuable skill for any Data Analyst.
Data Scientist
Data Scientist
Data Scientists use statistical methods and machine learning algorithms to uncover insights from large amounts of data. This course introduces the Google Vision API, providing you with a valuable tool for analyzing and interpreting visual data. These skills, combined with your existing background in statistics and machine learning, will empower you to pursue a career as a Data Scientist.
Business Analyst
Business Analyst
Business Analysts identify and analyze business needs, bridging the gap between technical solutions and business goals. This course provides you with a foundational understanding of video analysis and object detection, which can be applied to gain insights from visual data for business decision-making.
UX Designer
UX Designer
UX Designers create user-centered products, prioritizing the user experience. This course in video analysis can assist you in understanding how users interact with visual content, providing you with insights to optimize user interfaces and enhance the overall user experience.
Media Researcher
Media Researcher
Media Researchers study the impact and effectiveness of media content, providing insights for marketing and communication strategies. Incorporating video analysis into your research methods will enhance your ability to analyze and understand how visual content resonates with audiences.
Product Manager
Product Manager
Product Managers are responsible for defining, developing, and delivering products, ensuring they meet customer needs. This course introduces you to the fundamentals of video analysis using the Video Intelligence API, providing you with insights into leveraging visual information for product development and improvement.
Software Engineer
Software Engineer
Software Engineers design and develop software solutions, tailoring them to specific needs. This course in analyzing a tennis serve with the Video Intelligence API will introduce you to video analysis, a critical aspect of software development in various industries. By applying these concepts in your projects, you will enhance your software engineering skills.
For more career information including salaries, visit:
OpenCourser.com/course/8sosdq/analyzing
Reading list
We've selected seven 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
Analyzing a Tennis Serve with the Video Intelligence API.
Biomechanics and Motor Control of Human Movement classic textbook in the field of biomechanics. It is used by researchers and students in a variety of disciplines, including exercise science, kinesiology, and physical therapy.
Save
Deep Learning textbook for students and professionals who want to learn about the field of deep learning. It covers a wide range of topics, including neural networks, deep learning architectures, and applications of deep learning.
The Elements of Statistical Learning textbook for students and professionals who want to learn about the field of statistical learning. It covers a wide range of topics, including supervised learning, unsupervised learning, and statistical modeling.
Machine Learning: A Probabilistic Perspective textbook for students and professionals who want to learn about the field of machine learning from a probabilistic perspective. It covers a wide range of topics, including Bayesian inference, graphical models, and reinforcement learning.
Computer Vision textbook for students and professionals who want to learn about the field of computer vision. It covers a wide range of topics, including image formation, image processing, and object recognition.
Medical Image Processing textbook for students and professionals who want to learn about the field of medical image processing. It covers a wide range of topics, including image acquisition, image enhancement, and image segmentation.
Introduction to Biomedical Engineering textbook for students in the field of biomedical engineering. It covers a wide range of topics, including biomechanics, medical imaging, and tissue engineering.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/8sosdq/analyzing
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Google Cloud
Instructor
Google Cloud Training
Good to know
Course subject regularly used by professionals in industry
Instructors from Google Cloud, a highly recognized provider for cloud-based learning
Emphasizes skills and tools highly relevant to image analysis in the tech industry
Hands-on labs and interactive materials enhance practical skills
Prior knowledge in similar fields is expected
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