SAS - SAS® Certified ModelOps Specialist

Dauer

Dauer:

Nur 2 Tage

Methode

Methode:

Klassenraum / Online / Hybrid

nächster Termin

nächster Termin:

24.6.2024 (Montag)

Overview

On this accelerated SAS® Certified ModelOps Specialist course, recognises the growing need in this emerging area, this new credential will help create a standard of knowledge within the area of ModelOps.

Nearly every organization today is on a journey of digital transformation, which requires being able to use data and continuously apply real-time insights to drive business decisions. ModelOps is the practice, or methodology, that has emerged to address this challenge. Inspired by the success of DevOps principles, it enables organizations to take models from the laboratory to deployment in production with precision and efficiency by using analytics and applying data science for business decisioning.

In just 2 days, you’ll learn to define the ModelOps framework. You’ll also learn how to:

  • Develop the model proposal.
  • Model development and management.
  • Model deployment.
  • Execute production steps.

At the end of this course, you’ll sit the SAS exam, and achieve your SAS® Certified ModelOps Specialist certification. Through Firebrand’s Lecture | Lab | Review methodology, you’ll get certified at twice the speed of the traditional training and get access to courseware, learn from certified instructors, and train in a distraction-free environment.

 Here are the major content areas for the exam:

Define the ModelOps framework.

Develop the model proposal.

Model development and management.

Model deployment.

Execute production steps.

Audience

This course is ideal for:

  • Analytics Lead
  • Validation Officer/Analytics
  • Application Developer
  • Database Experts 

Benefits

In einem Firebrand Intensiv-Training profitieren Sie von folgenden Vorteilen:

  • Zwei Optionen - Präsenz- oder Onlinetraining
  • Ablenkungsfreie Lernumgebung
  • Eigene Trainings- und Prüfungszentren (Pearson VUE Select Partner)
  • Effektives Training mit praktischen Übungseinheiten und intensiver Betreuung durch unsere Trainer
  • Umfassendes Leistungspaket mit allem, was Sie benötigen, um Ihre Zertifizierung zu erhalten, inklusive unserer Firebrand Leistungsgarantie.

Curriculum

Module 1: Define the ModelOps Framework (18 – 22%)

  • Emphasis on governance and stakeholders
  • Determine relevant stakeholders based on desired business outcome
  • How will collaboration be achieved
  • What are standard channels of communication
  • Determine the business process workflow
  • Outline feedback loops and decision validation
  • Articulate handoffs and individual roles/responsibilities
  • Establish an approval process
  • Create a peer review process
  • Validate assumptions
  • Review for potential bias
  • Test against hold out data
  • Adherence to compliance and standards
  • Confirm the process is documented
  • Create a business review process
  • Adherence to compliance and standards
  • Verify consumption method
  • Make a Go/No-Go decision
  • Define audit and tracking needs
  • Automated vs. Manual tasks
  • Batch vs. OnDemand vs. Streaming
  • Identify third party integration points
  • CI/CD
  • Model development tools
  • Git
  • Mobile Apps Develop workflow template(s) to execute the process
  • Model Type
  • Supervised
  • Unsupervised
  • Scoring Environments
  • Cloud
  • On-prem o Containers o In-database o Edge

 

Module 2: Develop Model Proposal (23 – 28%)

  • Define the business objective
  • Define the business objective
  • Explicitly define the target variable
  • Assess business impact
  • Identify potential consumption methods
  • Verify alignment with corporate strategy and policies Associated assets to include
  • Cost/benefit analysis
  • Optimal business value
  • Time to return on investment
  • Level of risk
  • Caveats/Assumptions
  • Finalize consumption method Evaluation against alternative resource allocation Establish preferred deployment method Establish monitoring assessment metrics
  • Business outcome metrics
  • Optimal model accuracy fit statistics
  • Model monitoring frequency and evaluation criteria
  • Operational performance metrics

 

 

Module 3: Model Development and Management (23 – 28%)

New or Re-build Model Development

  • Pre-processing – data extracts and data preparation
  • Model training
  • Post-processing
  • Integration with third party software Model tournament
  • Evaluate and compare multiple candidate models
  • Utilize fit statistics presented in Business Proposal
  • Consider balance of fit vs. model interpretability
  • Alignment to corporate ethics and data privacy standards
  • Select a champion model Execute peer review Execute business review
  • Exporting score code
  • Registering a model
  • Publish a model Model registration
  • Metadata o Input/output variables
  • Properties
  • Artifacts
  • Score code
  • Pre/post processing code
  • Associated external files and documentation Establish the monitoring process
  • Build data extracts for input data
  • Create metrics to monitor
  • Model metrics
  • Business metrics
  • System metrics
  • Setup thresholds and alerts
  • Develop monitoring reports
  • Document the process and parameters
  • Prepare a model for use in production

 

Module 4: Model Deployment (18 – 22%)

  • Develop the data ingestion pipeline
  • Confirm naming conventions/standards used
  • Review adherence to architecture standards
  • Process request for additional data source (if needed)
  • Build data extract for monitoring
  • Define production jobs
  • Create consumption application(s) (on-demand/streaming)
  • Integrate with decisioning process
  • Setup scoring, includes pre-/post-processing
  • Setup performance data creation
  • Setup performance monitoring reports
  • Model accuracy
  • Business outcome
  • Embed alerts
  • Develop follow-up actions
  • Model updates based on performance monitoring
  • Business decisions IT compliance check
  • Validate regulatory compliance
  • Cross-check against standards/policy Pre-production Testing
  • Unit testing
  • Regression testing
  • Performance testing

 

Module 5: Production (9 – 12%)

  • Execute prep-processing
  • Execute scoring/decision
  • Execute post-processing
  • Execute business actions associated with score/decision
  • Execute performance monitoring
  • Evaluation
  • Diagnose data drift
  • Assess model accuracy
  • Business outcomes
  • Operational impact
  • Alerts based on thresholds
  • Model update (Recalibrate/Retrain/Rebuild/Retire)

Exam Track

At the end of this accelerated course, you’ll sit the following exam at the Firebrand Training centre, covered Certification Guarantee:

SAS® Certified ModelOps Specialist A00-440 Exam

  • Duration: 110 minutes
  • Format: multiple choice and short-answer questions
  • Number of questions: 65 questions
  • Passing score: Passing score is 65%
  • Languages: XXX
  • Domains:
    • 18-22% - Define the ModelOps Framework.

    • 23-28% - Develop Model Proposal.

    • 23-28% - Model Development and Management.

    • 18-22% - Model Deployment.

    • 18-22% - Production.

What's Included

Prerequisites

There are no prerequisites for this accelerated course.

Sind Sie sich unsicher, ob Sie die Voraussetzungen erfüllen? Wir besprechen gerne mit Ihnen Ihren technischen Hintergrund, Erfahrung und Qualifikation, um herauszufinden, ob dieser Intensivkurs der richtige für Sie ist.

Erfahrungsberichte

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Paolo Gallo. (8.4.2024 (Montag) bis 12.4.2024 (Freitag))

"Very positive and enriching experience professional and very well prepared."
Paolo Gallo. (8.4.2024 (Montag) bis 12.4.2024 (Freitag))

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