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Big Data LDN

Big Data LDN 2019 | How to Train Your AI Models at Scale | Kamran Yausaf

Redis delivers instant experiences through your applications and for users, combining the advantages of the highest performance, seamless scalability and high availability. Redis is not just the fastest database on the market today but also includes a comprehensive set of management and automated capabilities. In this talk, Kamran Yausaf will share how to co-locate and execute your trained AI models for personalisation, recommendation, and fraud detection with your data to provide real time insights at scale.

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Syllabus

How to Train Your AI Models at Scale

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides methodology and techniques for implementing trained AI models using Redis for real-time insights at scale
Suitable for data scientists, engineers, and architects seeking to enhance their skills in deploying AI models

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Learners who complete Security Operations will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
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Big Data Analyst
Big Data Analysts are responsible for analyzing large datasets to identify trends and patterns. In order to succeed as a Big Data Analyst, it is important to have a strong foundation in big data analysis techniques, as well as the ability to communicate effectively with both technical and non-technical audiences. This course provides learners with a comprehensive introduction to big data analysis techniques, which may be useful for those who are looking to enter or advance their careers as Big Data Analysts.
Data Architect
Data Architects are responsible for designing and managing the architecture of data systems. In order to succeed as a Data Architect, it is important to have a strong foundation in data architecture principles, as well as the ability to communicate effectively with both technical and non-technical audiences. This course provides learners with a comprehensive introduction to data architecture principles, which may be useful for those who are looking to enter or advance their careers as Data Architects.
Data Warehouse Engineer
Data Warehouse Engineers are responsible for designing, building, and maintaining data warehouses. In order to succeed as a Data Warehouse Engineer, it is important to have a strong foundation in data warehouse engineering techniques, as well as the ability to communicate effectively with both technical and non-technical audiences. This course provides learners with a comprehensive introduction to data warehouse engineering techniques, which may be useful for those who are looking to enter or advance their careers as Data Warehouse Engineers.
Security Analyst
Security Analysts are responsible for monitoring and analyzing security data to identify threats and vulnerabilities. In order to succeed as a Security Analyst, it is important to have a strong foundation in security analysis techniques, as well as the ability to communicate effectively with both technical and non-technical audiences. This course provides learners with a comprehensive introduction to security analysis techniques, which may be useful for those who are looking to enter or advance their careers as Security Analysts.
Data Engineer
Data Engineers are responsible for designing, building, and maintaining the infrastructure that is used to store and process data. In order to succeed as a Data Engineer, it is important to have a strong foundation in data engineering techniques, as well as the ability to communicate effectively with both technical and non-technical audiences. This course provides learners with a comprehensive introduction to data engineering techniques, which may be useful for those who are looking to enter or advance their careers as Data Engineers.
Cloud Architect
Cloud Architects are responsible for designing and managing cloud computing systems. In order to succeed as a Cloud Architect, it is important to have a strong foundation in cloud computing principles, as well as the ability to communicate effectively with both technical and non-technical audiences. This course provides learners with a comprehensive introduction to cloud computing principles, which may be useful for those who are looking to enter or advance their careers as Cloud Architects.
Database Administrator
Database Administrators are responsible for managing and maintaining databases. In order to succeed as a Database Administrator, it is important to have a strong foundation in database administration techniques, as well as the ability to communicate effectively with both technical and non-technical audiences. This course provides learners with a comprehensive introduction to database administration techniques, which may be useful for those who are looking to enter or advance their careers as Database Administrators.
IT Manager
IT Managers are responsible for planning, implementing, and managing IT systems and services. In order to succeed as an IT Manager, it is important to have a strong foundation in IT management principles, as well as the ability to communicate effectively with both technical and non-technical audiences. This course provides learners with a comprehensive introduction to IT management principles, which may be useful for those who are looking to enter or advance their careers as IT Managers.
Systems Administrator
Systems Administrators are responsible for managing and maintaining computer systems. In order to succeed as a Systems Administrator, it is important to have a strong foundation in systems administration techniques, as well as the ability to communicate effectively with both technical and non-technical audiences. This course provides learners with a comprehensive introduction to systems administration techniques, which may be useful for those who are looking to enter or advance their careers as Systems Administrators.
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software applications. In order to succeed as a Software Engineer, it is important to have a strong foundation in software engineering principles, as well as the ability to communicate effectively with both technical and non-technical audiences. This course provides learners with a comprehensive introduction to software engineering principles, which may be useful for those who are looking to enter or advance their careers as Software Engineers.
Project Manager
Project Managers are responsible for planning, executing, and controlling projects. In order to succeed as a Project Manager, it is important to have a strong foundation in project management principles, as well as the ability to communicate effectively with both technical and non-technical audiences. This course provides learners with a comprehensive introduction to project management principles, which may be useful for those who are looking to enter or advance their careers as Project Managers.
Business Analyst
Business Analysts are responsible for analyzing business needs and developing solutions to improve business outcomes. In order to succeed as a Business Analyst, it is important to have a strong foundation in business analysis techniques, as well as the ability to communicate effectively with both technical and non-technical audiences. This course provides learners with a comprehensive introduction to business analysis techniques, which may be useful for those who are looking to enter or advance their careers as Business Analysts.
Network Engineer
Network Engineers are responsible for designing, building, and maintaining computer networks. In order to succeed as a Network Engineer, it is important to have a strong foundation in networking principles, as well as the ability to communicate effectively with both technical and non-technical audiences. This course provides learners with a comprehensive introduction to networking principles, which may be useful for those who are looking to enter or advance their careers as Network Engineers.
Data Scientist
Data Scientists are responsible for leveraging a variety of techniques to analyze data and build analytical models, which can then be deployed and used to make predictions and decisions. In order to succeed as a Data Scientist, it is important to have a strong foundation in data analysis techniques, as well as the ability to communicate effectively with both technical and non-technical audiences. This course provides learners with a comprehensive introduction to data analysis techniques, which may be useful for those who are looking to enter or advance their careers as Data Scientists.

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