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GCP: Google Cloud Platform - Big Data Trunk https://project.bigdatatrunk.com Quality Corporate and Classroom Training in Bay Area CA Fri, 21 Feb 2025 05:13:44 +0000 en-US hourly 1 https://wordpress.org/?v=7.0 Kickstart TensorFlow & Keras in a Day https://project.bigdatatrunk.com/courses/kickstart-tensorflow-keras-in-a-day/ https://project.bigdatatrunk.com/courses/kickstart-tensorflow-keras-in-a-day/#respond Thu, 03 Feb 2022 07:22:59 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=23458 TensorFlow has become integral part of Machine and Deep Learning techniques.

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  • Overview
  • Prerequisite
  • Audience
  • Curriculum
Description:

Unlock the Power of TensorFlow & Keras in Just One Day! Discover why TensorFlow is a cornerstone of Machine and Deep Learning, with top experts commanding over 200K salaries and incredible demand. Dive into our course, where we'll lay the essential groundwork for constructing Artificial Neural Networks with TensorFlow. Gain an in-depth understanding of tensors and their manipulation techniques. Then, seamlessly transition into building your own neural network using Keras and TensorFlow, all while mastering the diverse Keras APIs. Kickstart your journey to TensorFlow and Keras expertise with our comprehensive training!

Course Code/Duration:

BDT185 / 1 Day

Learning Objectives:

After this course, you will be able to:

  • TensorFlow Fundamentals
  • Working with Tensors
  • Artificial Neural Network (Regression)
  • Artificial Neural Network (Classification)
  • Transfer Learning
  • Basic knowledge of python and fundamentals of Machines Learning.
  • This course is designed for anyone interested to get started with using TensorFlow and build Artificial Neural Networks. It is geared towards Data Scientists, Data Engineers, Software Engineers, Software Architects, Quality Assurance Engineers.

Course Outline:

  1. TensorFlow Fundamentals
    1. Machine Learning v/s Deep Learning what’s the difference?
    2. Understand what is TensorFlow?
    3. Why use TensorFlow?
  2. Working with Tensors
    1. What are tensors?
    2. Creating Tensors
    3. Getting Tensor Attributes
    4. Manipulating Tensors
    5. Math operations on Tensors
    6. NumPy & Tensors
    7. Hands-on lab with Tensors
  3. Artificial Neural Network – Regression
    1. Learn to build a neural network for a regression problem
    2. Understand building a sequential network with layers
    3. Components that make up neural networks (loss function, architecture, optimization functions)
    4. Hands-on lab with ANN for Regression
  4. Artificial Neural Network – Classification
    1. Build a neural network for a classification problem
    2. Learn about the loss functions, metrics and optimizers used for Classification
    3. Hands-on lab with ANN for Classification
  5. Transfer Learning
    1. Understand what is transfer learning with TensorFlow
    2. Learn about transfer learning types
    3. Using TensorFlow Hub for pre-trained models
    4. Learn about using TensorFlow Callbacks
    5. Learn about building a model with Keras Functional API
    6. Hands-on lab with Transfer Learning
Training material provided:

Yes (Digital format)

  • Hands-on Lab: All the labs will be done in Google’s Colaboratory (Colab). Student must have a GMAIL Id that they can use.

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Kickstart BigQuery on GCP in a Day https://project.bigdatatrunk.com/courses/kickstart-bigquery-on-gcp-in-a-day/ https://project.bigdatatrunk.com/courses/kickstart-bigquery-on-gcp-in-a-day/#respond Thu, 03 Feb 2022 07:16:57 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=23455 BigQuery is a data warehouse service that Google has developed using the Software as a Service (SaaS) principle on their cloud platform.

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  • Overview
  • Prerequisite
  • Audiance
  • Curriculum
Description:

"Kickstart Your BigQuery On GCP In A Day Training: Unlock Google's Powerful Data Warehouse. Dive into the world of BigQuery, Google's cutting-edge data warehouse service, built on the cloud platform following the SaaS model. Learn how to harness BigQuery's capability to store and rapidly query vast amounts of data, with even terabytes at your fingertips within seconds. In this comprehensive class, grasp the intricacies of BigQuery's architecture, and gain proficiency in its storage and query engine. Explore hands-on sessions using Qwiklabs to master BigQuery's practical applications."

Course Code/Duration:

BDT184 / 1 Day

Learning Objectives:

After completing this course, you'll:

  • Gain insight into Google Cloud Platform and Data Warehousing.
  • Understand BigQuery's architecture.
  • Learn data management techniques in BigQuery.
  • Grasp the nuances of query execution.
  • Explore the possibilities of Machine Learning with BigQuery.
  • Basic knowledge of relational databases and SQL is desired but not mandatory. Basic understanding of Google Cloud Platform is required.
  • This course is designed for anyone interested to get started with using BigQuery on GCP – Software Developers, DBA, Architects.

Course Outline:

  1. Introduction to GCP and Data Warehousing
    1. Refresher on what is GCP
    2. What is Data Warehouse & Why is it used?
  2. BigQuery Architecture
    1. Understanding BigQuery Architecture
    2. Data Storage – sources and storage
    3. Query Processing Engine
    4. Lab: Hands-on Lab to get started with BigQuery
  3. Working with data in BigQuery
    1. Understand the different BigQuery data sources
    2. Working with Joins and Unions
    3. Understanding Table Partitioning
    4. Using semi-structured data like JSON, Geo-Spatial data
    5. Lab: Couple of labs on these topics
  4. Understanding Query Execution
    1. Understand BigQuery execution
    2. Tables & Views in BigQuery
    3. Understanding BigQuery pricing and costs
    4. Lab: Data Ingestion
  5. Machine Learning on BigQuery
    1. Performing machine learning with BigQuery
    2. Build Classification, Regression models using BigQuery
    3. Lab: Building models using BQML
Training material provided:

Yes (Digital format)

  • Hands-on Lab: Students must create Qwiklabs account for performing hands-on labs.

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Google Cloud Professional Data Engineer https://project.bigdatatrunk.com/courses/google-cloud-professional-data-engineer/ https://project.bigdatatrunk.com/courses/google-cloud-professional-data-engineer/#respond Thu, 03 Jun 2021 07:14:27 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=22447 Google is an undisputed leader in the Data and Machine Learning world. Google Cloud Platform enables and empowers organizations to run their workloads along with their flagship applications like Gmail, YouTube etc.

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  • Overview
  • Prerequisites
  • Audience
  • Curriculum

Description:

Unlock the potential of Google Cloud with our comprehensive Professional Data Engineer training. As a leader in Data and Machine Learning, Google offers a powerful platform for running workloads and hosting flagship applications like Gmail and YouTube. To excel in Data Engineering on Google Cloud Platform and earn recognition as a Google Certified Professional Data Engineer, gain in-depth expertise in GCP's Data and ML-related services through our specialized training program. Elevate your career and harness the full potential of Google Cloud.

Course Code/Duration:

BDT137 / 3 Hour each workshop

  • None
  • Note: Google Data Engineering is a vast topic, in case, the participants are not familiar with it then they would struggle to understand a lot of discussions during these short workshops.
Course Outline:

The course includes presentations, demonstrations, and hands-on labs.

Workshop 1 Detailed Objectives:
  • Google’s Key Products related to Data and ML
  • Data Pipelines on GCP
  • Certification Objectives Walkthrough
  • Tips for the preparation of the exam
  • Resources to go through
Workshop 2 Detailed Objectives:
  • Question and Answer format
  • Explanation of answers to ensure that everyone is on the same page
Training material provided:

Yes (Digital format)

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Byte-Sized Google Cloud Series: AI/ML on Google Cloud Platform (GCP) https://project.bigdatatrunk.com/courses/byte-sized-google-cloud-series-ai-ml-on-google-cloud-platform-gcp/ https://project.bigdatatrunk.com/courses/byte-sized-google-cloud-series-ai-ml-on-google-cloud-platform-gcp/#respond Sat, 15 May 2021 05:56:04 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=22365 A short session indented to understand AI/Machine Learningon the Google Cloud Platform.

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  • Overview
  • Prerequisite
  • Audience
  • Curriculum

Description:

A short session indented to understand AI/Machine Learning on the Google Cloud Platform.

Setup:

Create a Qwiklabs account using a GMAIL or your email id https://qwiklabs.com/

Course Code/Duration:

BDT126 / 90 Minutes

Learning Objectives:

After this course, you will understand the following:

  • Understand the different ways you can leverage AI/ML services offered on GCP
  • Learn about different APIs provided for pre-built models
  • Demo/Lab to use AI Platform on GCP.
  • Basic understanding of Cloud Computing, basic understanding of what Machine Learning is.
  • Anyone who is interested in understanding and getting started with Cloud Computing on Google Cloud Platform.

Course Outline:

  • Introduction to AI/ML Services on GCP
  • Exploring Pre-built Models and APIs
  • Working with AI Platform
  • Demo/Lab: Practical Application

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Byte-Sized Google Cloud Series: Big Data on Google Cloud Platform (GCP) https://project.bigdatatrunk.com/courses/byte-sized-google-cloud-series-big-data-on-google-cloud-platform-gcp/ https://project.bigdatatrunk.com/courses/byte-sized-google-cloud-series-big-data-on-google-cloud-platform-gcp/#respond Sat, 15 May 2021 05:52:24 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=22363 A short session indented to understand different services available on GCP to perform Big Data analytics.

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  • Overview
  • Prerequisite
  • Audience
  • Curriculum

Description:

In this concise session, you'll gain insights into various GCP services tailored for Big Data analytics. Join us to unlock the potential of Google Cloud for your data-driven projects."

Setup:

Create a Qwiklabs account using a GMAIL or your email id https://qwiklabs.com/

Course Code/Duration:

BDT125 / 90 Minutes

Learning Objectives:

After this course, you will understand the following:

  • Different services and tools available to perform Big Data processing and analytics on GCP
  • Requirements to spawn a cluster on GCP to perform data analytics
  • Demo/Lab of spinning a spark cluster on GCP.
  • Basic understanding of Cloud Computing
  • Anyone who is interested in understanding and getting started with Cloud Computing on Google Cloud Platform, basic understanding of Big Data technologies such as Apache Hadoop and Apache Spark.

Course Outline:

  1. Introduction to Big Data on Google Cloud Platform (GCP)
  2. Overview of Big Data and its significance
  3. Introduction to Google Cloud Platform (GCP) as a leading cloud service provider
  4. Key features and benefits of using GCP for Big Data processing

 

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Byte-Sized Google Cloud Series: Security on Google Cloud Platform (GCP) https://project.bigdatatrunk.com/courses/byte-sized-google-cloud-series-security-on-google-cloud-platform-gcp/ https://project.bigdatatrunk.com/courses/byte-sized-google-cloud-series-security-on-google-cloud-platform-gcp/#respond Sat, 15 May 2021 05:47:50 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=22361 A short session indented to understand the different tools and utilities provided to manage security on GCP (Cloud Identity and Access Management)

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  • Overview
  • Prerequisite
  • Audience
  • Curriculum

Short Description:

A short session intended to understand the different tools and utilities provided to manage security on GCP (Cloud Identity and Access Management)

Description:

A short session designed for a concise understanding of essential tools and utilities to enhance security on GCP, focusing on Cloud Identity and Access Management (IAM). Join our short, insightful session to bolster your GCP security expertise.

Setup:

Create a Qwiklabs account using a GMAIL or your email id https://qwiklabs.com/

Course Code/Duration:

BDT124 / 90 Minutes

Learning Objectives:

By the end of this course, you will:

  • Grasp the core components of cloud resource security setup.
  • Learn how to secure your resources effectively on Google Cloud Platform (GCP).
  • Gain practical experience through demonstrations and labs on setting up Cloud Identity and Access Management (IAM) in the GCP environment.
  • Basic understanding of Cloud Computing
  • Anyone who is interested in understanding and getting started with Cloud Computing on Google Cloud Platform.

Course Outline:

Introduction to GCP Security

  • Overview of security principles and importance in cloud computing.

Identity and Access Management (IAM)

  • Understanding IAM roles, permissions, and best practices for access control.

III. Network Security on GCP

  • Overview of VPCs, firewalls, and encryption for securing data in transit and at rest.

Security Monitoring and Compliance

  • GCP tools for monitoring, auditing, and ensuring compliance with security standards."

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Byte-Sized Google Cloud Series: Networking on Google Cloud Platform (GCP) https://project.bigdatatrunk.com/courses/byte-sized-google-cloud-series-networking-on-google-cloud-platform-gcp/ https://project.bigdatatrunk.com/courses/byte-sized-google-cloud-series-networking-on-google-cloud-platform-gcp/#respond Sat, 15 May 2021 05:44:01 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=22359 A short session indented to understand networking within the Google Cloud Platform.

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  • Overview
  • Prerequisite
  • Audience
  • Curriculum

Short Description:

A short session intended to understand networking within the Google Cloud Platform.

Description:

In this brief session, you'll gain a solid understanding of networking within GCP. Join us to enhance your knowledge and skills in Google Cloud networking today!

Setup:

Create a Qwiklabs account using a GMAIL or your email id https://qwiklabs.com/

Course Code/Duration:

BDT123 / 90 Minutes

Learning Objectives:

After this course, you will understand the following:

  • Understand the different networking components are used on the Google Cloud Platform
  • Understand Virtual Private Cloud and how you can use it to build your own private datacenter
  • Demo/Lab on Virtual Private Cloud on GCP
  • Basic understanding of Cloud Computing
  • Anyone who is interested in understanding and getting started with Cloud Computing on Google Cloud Platform.

Course Outline:

Networking Fundamentals on GCP

  • Overview of GCP networking components and architecture.

Virtual Private Cloud (VPC) Setup

  • Configuring VPCs, subnets, and firewall rules for secure network isolation.

III. Load Balancing and Traffic Management

  • Utilizing GCP Load Balancers for distributing and securing network traffic.

Network Security Best Practices

  • Implementing encryption, VPNs, and DDoS protection to enhance overall network security on GCP.

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Byte-Sized Google Cloud Series: Storage on Google Cloud Platform (GCP) https://project.bigdatatrunk.com/courses/byte-sized-google-cloud-series-storage-on-google-cloud-platform-gcp/ https://project.bigdatatrunk.com/courses/byte-sized-google-cloud-series-storage-on-google-cloud-platform-gcp/#respond Sat, 15 May 2021 05:40:36 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=22357 A short session indented to get started different storage services provided on the Google Cloud Platform.

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  • Overview
  • Prerequisite
  • Audience
  • Curriculum
Description:

A short session indented to get started different storage services provided on the Google Cloud Platform.

Setup:

Create a Qwiklabs account using a GMAIL or your email id https://qwiklabs.com/

Course Code/Duration:

BDT122 / 90 Minutes

Learning Objectives:

After this course, you will understand the following:

  • Understand what the different storage services provided on GCP
  • Learn what is Cloud Storage and what are the different components involved in it
  • Perform a hands-on lab to use Cloud Storage on GCP
Training material provided: Yes (Digital format)
  • Basic understanding of Cloud Computing
  • Anyone who is interested in understanding and getting started with Cloud Computing on Google Cloud Platform.

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Byte-Sized Google Cloud Series: Compute on Google Cloud Platform (GCP) https://project.bigdatatrunk.com/courses/byte-sized-google-cloud-series-compute-on-google-cloud-platform-gcp/ https://project.bigdatatrunk.com/courses/byte-sized-google-cloud-series-compute-on-google-cloud-platform-gcp/#respond Sat, 15 May 2021 05:14:56 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=22354 A short session intended to get started with using compute engines (virtual machines) on the Google Cloud Platform.

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  • Overview
  • Prerequisite
  • Audience
  • Audience
  • Curriculum

Short Description:

A short session indented to get started with using compute engines (virtual machines) on the Google Cloud Platform.

Description:

This short, beginner-friendly session will kickstart your journey into leveraging compute power on GCP."

Setup:

Create a Qwiklabs account using a GMAIL or your email id https://qwiklabs.com/

Course Code/Duration:

BDT121 / 90 Minutes

Learning Objectives:

By the end of this course, you will:

  • Learn about the different compute services available on Google Cloud Platform (GCP).
  • Gain the expertise to set up Virtual Machines (Compute Engine) on GCP.
  • Explore various methods for creating virtual machines within GCP.
  • Put your knowledge into practice by completing a hands-on virtual machine creation lab on GCP.
  • Basic understanding of Cloud Computing
  • Anyone who is interested in understanding and getting started with Cloud Computing on Google Cloud Platform.
  • Anyone who is interested in understanding and getting started with Cloud Computing on Google Cloud Platform.

Course Outline:

Compute Security Overview

  • Introduction to GCP compute services and the importance of securing virtual machines.

Identity and Access Management (IAM) for Compute

  • Managing access controls and permissions for VM instances on GCP.

III. Secure Deployment and Configuration

  • Best practices for securely deploying and configuring virtual machines in GCP.

Monitoring and Incident Response

  • Utilizing GCP tools for monitoring, logging, and responding to security incidents in compute environments.

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Networking in Google Cloud Platform https://project.bigdatatrunk.com/courses/networking-in-google-cloud-platform/ https://project.bigdatatrunk.com/courses/networking-in-google-cloud-platform/#respond Fri, 23 Apr 2021 04:53:24 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=22306 Cloud networking requires understanding of various topics such as Virtual Private Cloud (VPCs), Load Balancers, Network Security, etc. This course will explain these concepts and provide hands-on experience on GCP.

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  • Overview
  • Prerequisites
  • Audience
  • Curriculum

Short Description:

A short session intended to get started different storage services provided on the Google Cloud Platform.

Description:

This short session introduces you to the diverse storage services on Google Cloud Platform, providing you with a solid foundation to begin your cloud storage exploration. Join us now to jumpstart your GCP storage knowledge.

Duration: 1 Day

Course Code: BDT122

Learning Objectives:

By the end of this course, you will:

  • Learn about the different compute services available on Google Cloud Platform (GCP).
  • Gain the expertise to set up Virtual Machines (Compute Engine) on GCP.
  • Explore various methods for creating virtual machines within GCP.
  • Put your knowledge into practice by completing a hands-on virtual machine creation lab on GCP.
  • You must understand GCP concepts (terms such as Compute, Storage, IAM.).
  • Also, should understand basic network routing and IP addresses.
  • This session is designed for software developers, software architects, network engineers, system operators managing cloud.

Course Outline:

Storage Security Overview

  • Introduction to GCP storage services and the importance of securing data.

Identity and Access Management (IAM) for Storage

  • Managing access controls and permissions to ensure secure storage.

III. Encryption and Data Protection

  • Implementing encryption for data at rest and in transit within GCP storage services.

Best Practices for Storage Security

  • Guidelines and strategies for maintaining a secure storage environment on Google Cloud Platform.

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