Learn the best practices for designing and using cloud-based video workflows.
This instructor-led training course covers important concepts related to video processing and delivery, the variables that can impact migration decisions, and real-world examples of hybrid and cloud use cases for AWS Media Services. It also introduces security, machine learning, and analytics concepts to help you consider how AWS Media Services fit into your overall cloud strategy.
This intermediate-level course is delivered through a mix of instructor-led training (ILT) and hands-on labs.
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What you’ll learn
This course is designed to teach participants how to:
Articulate the essential terms and concepts fundamental to making video streaming workflow decisions, including video metrics, compression, distribution, and protocols.
Describe the four fundamental stages of video streaming workflows: ingest, process, store, and deliver.
Describe which AWS services can be used in each stage of a video streaming workflow, including ingest, processing, storage, and delivery.
Analyse video streaming workflow diagrams using AWS services, based on simple to complex use cases.
Recognise the key variables that influence workflow decisions.
Recognise how AWS services for compliance, storage, and compute interact with AWS Media Services in video streaming workflows and the functions they perform.
Use the AWS Management Console to build and run simple video streaming workflows for live and video-on-demand content.
Recognise the automation and data analytics available for Media Services when used with AWS Machine Learning and explore media-specific use cases for these services.
Explain the importance of security in the AWS Cloud and how it is applied in video streaming workflows.
AWS at Lumify Work
Lumify Work is an official AWS Training Partner for Australia, New Zealand, and the Philippines. Through our Authorised AWS Instructors, we can provide you with a learning path that’s relevant to you and your organisation, so you can get more out of the cloud. We offer virtual and face-to-face classroom-based training to help you build your cloud skills and enable you to achieve industry-recognised AWS Certification.
This course is intended for individuals who work in or are considering migration to AWS Media Services, including those in the following roles:
Video Operator/Engineer
Developer
Architect
Project Manager/Engineer
Course subjects
Module 1: Important Video Concepts
Resolution, bitrate, frame rate, latency, and compression
Codecs and containers
Group of pictures (GOP) encoding
ABR, packaging and distribution
Internet protocols used in video streaming
Module 2: Anatomy of Streaming Workflows
Four stages of video streaming
Variables that affect design decisions
Module 3: Using AWS Services in Video-on-Demand (VOD) Workflows
Converting a film or tape library for internet streaming
Increasing reach and accessibility using multiple languages and captions
Streaming edited highlights from a live event
Analysing and tagging VOD files for media content analysis using machine learning and data analytics
Module 4: Optimising Workflows
Security
Migrating to the cloud
Cloud financial management
Module 5: Using AWS Services in Live Workflows
Challenges of live streaming
Live streaming a simple interview show
Live streaming a major sporting event to a global audience
Live switching between multiple inputs
Saving segments from a live show to create VOD segments
Module 6: Recap and Review
Module 7: Next Step
Please note: This is an emerging technology course. Course outline is subject to change as needed.
Prerequisites
We strongly recommend learners complete the required prerequisites prior to class, and suggest completion of the optional prerequisites for an optimal experience.
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We've created this e-book to assist you on your cloud journey, from defining the optimal cloud infrastructure and choosing a cloud platform, to security in the cloud and the core challenges in moving to the cloud.
The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.
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