Advanced ML on Google Cloud Specialization

Advanced ML on Google Cloud Specialization

(0 reviews)
Share icon
Coursera With GroupifyAI

Gain practical experience in optimizing, deploying, and scaling machine learning models using Google Cloud Platform through a structured five-course specialization with hands-on labs and a focus on advanced topics and recommendation systems.

Key AI Functions:Tensorflow,Convolutional Neural Network,Estimator,Advanced Machine Learning

Description for Advanced ML on Google Cloud Specialization

Features of Course

  • Gain practical experience in optimizing, deploying, and scaling production machine learning models through hands-on labs across five courses.
  • Focus on advanced machine learning topics using Google Cloud Platform, covering structured data, image data, time-series, and natural language text.
  • Conclude with a course on developing recommendation systems, with an emphasis on completing the courses in sequence for continuity.
  • Utilize the Qwiklabs platform for hands-on labs, applying skills from video lectures to real-world Google Cloud Platform products and configurations.
  • Level: Advanced

    Certification Degree: Yes

    Languages the Course is Available: 1

    Offered by: On Coursera provided by Google Cloud Training

    Duration: 2 months at 10 hours a week

    Schedule: Flexible

    Reviews for Advanced ML on Google Cloud Specialization

    0 / 5

    from 0 reviews

    Ease of Use

    Ease of Customization

    Intuitive Interface

    Value for Money

    Support Team Responsiveness

    Alternative Tools for Advanced ML on Google Cloud Specialization

    Begin your vocation in generative AI data engineering. Obtain the necessary skills to secure a position as a data engineer by acquiring an understanding of generative AI. No prior experience is required.

    #Convolutional Neural Network #Information Engineering
    icon

    Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world

    #Tensorflow #Machine Learning
    icon

    Become an adept in the field of machine learning. Break into the field of artificial intelligence by mastering the fundamentals of deep learning. Recently upgraded with state-of-the-art methodologies!

    #Recurrent Neural Network #Tensorflow
    icon

    Acquire practical skills in fundamental machine learning models and their applications using PyTorch, as utilized by leading tech companies.

    #Convolutional Neural Network #Python Programming
    icon

    Gain the skills needed for a machine learning engineering role and prepare for the Google Cloud Professional Machine Learning Engineer certification exam by learning to design, build, and productize ML models using Google Cloud technologies.

    #Tensorflow #Bigquery
    icon

    Learn to use TensorFlow for computer vision and natural language processing, manage image data, prevent overfitting, and train RNNs, GRUs, and LSTMs on text repositories.

    #Computer Vision #Convolutional Neural Network
    icon

    Construct and train neural networks and tree ensemble methods using TensorFlow, while applying effective machine learning practices for real-world data generalization.

    #Tensorflow #Advice for Model Development
    icon

    Learn to develop, train, and assess neural networks using TensorFlow to resolve classification issues by understanding the fundamental principles of neural networks.

    #Tensorflow #Artificial Neural Network
    icon

    Learn to effectively use TensorFlow for constructing and optimizing neural networks, including applications in computer vision with convolutional techniques.

    #Computer Vision #Tensorflow
    icon