Google Cloud Certification: ML Engineer

Google Cloud Certification: ML Engineer

(0 reviews)
Share 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.

Key AI Functions:Tensorflow,Bigquery,Machine Learning,Data Cleansing,Cloud Computing,Python Programming,keras,Build Input Data Pipeline

Description for Google Cloud Certification: ML Engineer

Features of Course

  • Acquire the necessary skills to excel in a machine learning engineering position.
  • Prepare for the Google Cloud Professional Machine Learning Engineer certification exam.
  • Comprehend the process of designing, building, and productizing machine learning models to address business challenges through the use of Google Cloud technologies.
  • Comprehend the purpose of the Professional Machine Learning Engineer certification and its correlation with other Google Cloud certifications.
  • Level: Intermediate

    Certification Degree: Yes

    Languages the Course is Available: 11

    Offered by: On Coursera provided by Google Cloud

    Duration: 2 months at 10 hours a week

    Schedule: Flexible

    Reviews for Google Cloud Certification: ML Engineer

    0 / 5

    from 0 reviews

    Ease of Use

    Ease of Customization

    Intuitive Interface

    Value for Money

    Support Team Responsiveness

    Alternative Tools for Google Cloud Certification: ML Engineer

    icon
    Paid

    The AI tool empowers non-programmers to construct and deploy AI, featuring data transformation, insights generation, identification of critical drivers, and prediction and forecasting functionalities to enhance business decision-making and planning processes.

    #research #marketing
    icon

    Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.

    #Artificial Intelligence (AI) #Data Science
    icon

    Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.

    #Artificial Intelligence (AI) #Python Programming
    icon

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

    #Tensorflow #Machine Learning
    icon

    Welcome to the 'Gen AI for Code Generation for Python' course, where you will begin a journey to hone and expand your abilities in the field of code generation using Generative AI.

    #Prompt Engineering #Python Programming Language
    icon

    Utilize Generative AI to optimize marketing creativity. Explore the potential of Generative AI to revolutionize and influence your marketing organization.

    #Generative AI #Large Language Models
    icon

    Learn to use the latest LLM APIs, the LangChain Expression Language (LCEL), and develop a conversational agent.

    #Python Programming #Langchain
    icon

    Master coding basics and create a Hangman game using generative AI tools like Google Bard in a beginner-friendly, 1.5-hour guided project.

    #Software Development #Python Programming
    icon

    Learn the significance, use cases, history, and pros and cons of generative AI in a business context, with a focus on its relationship to machine learning and services at Amazon.

    #Generative AI #Amazon Web Services
    icon

    Learn about AI principles and platforms like IBM Watson and Hugging Face, integrate RAG technology for chatbot intelligence, create web apps using Python libraries, and develop interfaces with generative AI models and Python frameworks.

    #Voice Assistants #Chatbots
    icon