The AWS Data Science and Analytics solution training provides a foundational understanding of how to leverage AWS’s data services to power insights and analytics in the media and entertainment industry. This training covers the complete data lifecycle, from ingestion and transformation to storage and visualization, using AWS’s suite of purpose-built data tools. Attendees will gain expertise in setting up scalable data pipelines, deploying machine learning models, and building interactive dashboards to extract actionable insights from large datasets. This course is typically 3 days (18-24 hours) depending on student requirements.
Overview
Who Should Take This Course? This course is ideal for:
- Data scientists, analysts, and engineers working in Media & Entertainment who want to explore AWS data services to optimize workflows.
- Media professionals involved in decision-making who want to harness the power of data to inform strategies around content creation, distribution, and audience engagement.
- IT professionals managing data infrastructures for media companies looking to transition to or optimize their cloud-based data environments.
- Anyone interested in gaining hands-on experience with AWS data tools and AI/ML services for media insights and analytics.
Course Requirements To fully benefit from this course, participants should meet the following prerequisites:
- Familiarity with data analytics concepts and processes.
- Basic understanding of cloud computing; AWS experience is helpful but not required.
- Experience with media workflows or data-centric roles in media and entertainment is a plus.
Takeaways Upon completing this training, you will:
- Understand how to build and manage end-to-end data pipelines using AWS services, specifically tailored to media and entertainment applications.
- Learn how to build interactive dashboards with Amazon QuickSight and other AWS tools, providing real-time insights into key metrics.
- Explore strategies to integrate and scale analytics workflows on AWS for media-related data processing, reporting, and decision-making.
- Develop skills in optimizing costs, security, and efficiency in cloud-based data science and analytics environments.
Highlights
- **End-to-End Data Pipelines for Media and Entertainment** Learn how to build and optimize data pipelines using AWS Glue, Amazon Kinesis, and Amazon Redshift to ingest, process, and analyze content and viewer data in real-time, enabling data-driven decision-making for content creation and distribution.
- **AI/ML-Driven Media Insights** Understand how to leverage Amazon SageMaker and AWS AI Services (e.g., Amazon Rekognition and Amazon Transcribe) to develop machine learning models that can automate metadata extraction, sentiment analysis, and audience trend prediction, enhancing content discoverability and engagement.
- **Advanced Visualization and Reporting** Explore how to use Amazon QuickSight, OpenSearch and other AWS analytics tools to create interactive dashboards that provide real-time insights into audience metrics, operational performance, and content effectiveness, supporting strategic planning and reporting.
Details
Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
Legal
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Support
Vendor support
Post-training support engagements are available to help address specific workflow needs, optimize configurations, and provide guidance for integrating AWS Broadcast services into your existing infrastructure.
For more information visit: www.trackit.io
Contact us for support at: Phone: 323-230-0042 Email: info@trackit.io