This course covers all aspects of hosting big data on the Amazon Web Services (AWS) platform, and will prepare you to confidently perform distributed processing.
This course is your guide to deep learning in Python with Keras. You will discover the Keras Python library for deep learning and learn how to use it to develop and evaluate deep learning models.
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This Customer Service, KYC & CRM Training Bundle Contains 6 of Our Premium Courses for One Discounted Price: Course 01: Diploma in Customer Services Course 02: Diploma in Know Your Customer (KYC) Course 03: Diploma in Customer Relationship Management (CRM) Course 04: Customer Service & Environment Course 05: Customer Analytics Training Taking this course will not only improve your understanding and skills in customer service, KYC, and CRM but also significantly enhance your career prospects. As businesses increasingly recognise the value of customer-centric service models and compliance with regulatory standards, the demand for qualified professionals in these areas is soaring. So enrol now on this training and position yourself as a valuable asset in any customer-focused industry! Why Choose Our Customer Service, KYC & CRM Training Course? 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Customer Relationship Management Customer Service Communication Strategies Data Analysis in CRM Deepening Customer Relationship Handling Customer Complaints Aspects of Phone Etiquette Know Your Customer (KYC) Customer Due Diligence - CDD Course 02: Know Your Customer (KYC) Introduction to KYC Customer Due Diligence AML (Anti-Money Laundering) KYC, AML and Data Privacy Regulations for Businesses Operations in the United Kingdom Regulations to be Complied by Industries Methods for carrying out KYC and AML and the Future of KYC Compliance Course 03: Customer Relationship Management CRM Fundamentals CRM Strategies Data Analysis in CRM CRM Databases Deepening Customer Relationship Handling Customer Complaints Future of CRM =========>>>>> And 2 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. 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The certificate will be home-delivered, with a pricing scheme of - 99 GBP inside the UK 109 GBP (including postal fees) for international delivery
In this course, you will learn everything you need to know about working with Git and GitHub. By the end of this course, you will have the knowledge and confidence you need in order to apply for a job, work in a team, or work on open-source projects.
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Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Solutions architects IT professionals Overview In this course, you will learn to: Apply data lake methodologies in planning and designing a data lake Articulate the components and services required for building an AWS data lake Secure a data lake with appropriate permission Ingest, store, and transform data in a data lake Query, analyze, and visualize data within a data lake In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake architectures. Module 1: Introduction to data lakes Describe the value of data lakes Compare data lakes and data warehouses Describe the components of a data lake Recognize common architectures built on data lakes Module 2: Data ingestion, cataloging, and preparation Describe the relationship between data lake storage and data ingestion Describe AWS Glue crawlers and how they are used to create a data catalog Identify data formatting, partitioning, and compression for efficient storage and query Lab 1: Set up a simple data lake Module 3: Data processing and analytics Recognize how data processing applies to a data lake Use AWS Glue to process data within a data lake Describe how to use Amazon Athena to analyze data in a data lake Module 4: Building a data lake with AWS Lake Formation Describe the features and benefits of AWS Lake Formation Use AWS Lake Formation to create a data lake Understand the AWS Lake Formation security model Lab 2: Build a data lake using AWS Lake Formation Module 5: Additional Lake Formation configurations Automate AWS Lake Formation using blueprints and workflows Apply security and access controls to AWS Lake Formation Match records with AWS Lake Formation FindMatches Visualize data with Amazon QuickSight Lab 3: Automate data lake creation using AWS Lake Formation blueprints Lab 4: Data visualization using Amazon QuickSight Module 6: Architecture and course review Post course knowledge check Architecture review Course review Additional course details: Nexus Humans Building Data Lakes on AWS training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Building Data Lakes on AWS course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.