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Showing posts from December, 2021

Become a Expert in Google Cloud Platform Fundamentals: Core Infrastructure

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 Google Cloud Platform Fundamentals: Core Infrastructure - Agilitics Singapore This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). This one-day instructor-led course gives you an overview of Google Cloud Platform products and services. Participants will learn how to combine presentations, demos, and hands-on labs to learn the value of Google Cloud Platform and integrate cloud-based solutions into their business strategies. Learn and compare many computing and storage services available on Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. Learn important tools for resource and policy management, This course is under IBF Accredited programme. Benefits of learning Google Cloud Platform Fundamentals: Core Infrastructure with agilitics Upto 90% Subsidy  IBF Funded  Hands on lab  Google Authoriz...

Upgrade Your Career with Skills Ignition SG - Data Engineering and ML Fundamental Training

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  Skills Ignition SG - Data Engineering and ML Fundamental Training  The need for data analysis skills is so great that this pass gets the highest accreditation recognized. Leverage data to gain real-time insights to improve decision making and accelerate innovation. Learn how to design and build a data processing system. This plan ensures maximum flexibility and scalability while meeting all the security controls required for applications such as BigQuery, Dataflow, Data Fusion, Cloud Composer, BigQuery ML, IoT, TensorFlow, Dataproc, and Workload Migration. Learn about developing solutions. Learn in-demand skills Grow your data and machine learning skills to accelerate innovation and help organizations transform with cloud technology. Google Cloud is trained and certified to ensure that your knowledge is up-to-date and that you are using Google Cloud best practices for your data. Benefits of   Skills Ignition SG - Data Engineering and ML Fundamen...

Boost up Your career with Google Cloud Big Data & Machine Learning Fundamentals Training

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  Google Cloud Big Data & Machine Learning Fundamentals Training Singapore  This one-day instructor-led course introduces participants to Google Cloud Platform's big data capabilities and demonstrates the simplicity, flexibility, and power of Google Cloud Platform's big data solutions . This course will introduce you to Google Cloud's big data and machine learning capabilities. Let's start with an overview of Google Cloud and elaborate on its computing capabilities. Combining presentations, demos, and Hands on Labs gives participants  an overview of the Google Cloud Platform and details of its data processing and machine learning capabilities. This course introduces the simplicity, flexibility, and power of Google Cloud Platform big data solutions. This course is under IBF Accredited Programs  Benefits of Learning Google Cloud Big Data & Machine Learning Fundamentals with Agilitics  IBF Funding Google Authorized Trainer  Cloud Labs Real-time...

Enhance Your career with Google Cloud Big Data & Machine Learning Fundamentals

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Boost up your Career with  Google Cloud Big Data & Machine Learning Fundamentals by applying this one day course  By this course you will learn Google Cloud's big data and machine learning functions. And you'll begin with a quick overview of Google Cloud and then get deeper into its data processing capabilities. Through a combination of presentations, demos, and hands-on labs, participants get an overview of the Google Cloud platform and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility, and power of big data solutions on Google Cloud Platform Benefits of IBF Accredited program High Success Rate Cloud Labs Real-time code analysis and feedback Google Authorized Trainer Post-workshop support by the Coaches Objectives  Individuals responsible for designing pipelines and architectures for data processing, creating and maintaining machine learning and statistical models, querying datasets, visualizin...