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Python Development Fundamentals
Introductory 4.9

Python Development Fundamentals

Whether you're looking to build your first AI-powered app, launch a career in data science, or dominate the tech world with automation and intelligent tools—this bundle delivers everything you need. We're updating the site today, so you may experience temporary issues. For help with account access or coupon redemption, email support@mammothinteractive.com. Password reset emails are sent from CoursePro (no-reply@coursepro.ai) with the subject "Reset Password Notification"—check your Spam and Promotions folders if needed.

TM Team Mammoth
$199.99
Exam 8 - Databricks Certified Machine Learning Professional
Introductory 4.9

Exam 8 - Databricks Certified Machine Learning Professional

Test your knowledge with 50+ questions from the Model Deployment section of the Databricks Certified Machine Learning Professional certification. Find out if you’re ready to ace the exam — can you identify z-ordering as a solution for reducing the time needed to read predictions from a table, identify partitioning on a common column to speed up queries, explain the practical benefits of using the score_batch operation, describe Structured Streaming as a common tool for ETL pipelines, explain Structured Streaming as a continuous inference solution for incoming data, understand why complex business logic must be handled in streaming deployments, and recognize that data can arrive out of order when using Structured Streaming? And much more!

AK Alex Kropf
$199.99
Exam 9 - Databricks Certified Machine Learning Professional
Introductory 4.9

Exam 9 - Databricks Certified Machine Learning Professional

Test your knowledge with 50+ questions from the Model Deployment section of the Databricks Certified Machine Learning Professional certification. Find out if you’re ready to ace the exam — can you describe continuous predictions in a time-based prediction store as a scenario for streaming deployments, convert a batch deployment pipeline’s inference step to a streaming deployment pipeline, convert a batch deployment pipeline’s writing step to a streaming deployment pipeline, explain the benefits of real-time inference for a small number of records or fast prediction computations, identify JIT feature values as a requirement for real-time deployment, query a Model Serving–enabled model in the Production and Staging stages, and explain why cloud RESTful services in containers are best suited for production-grade real-time deployments? And much more!

AK Alex Kropf
$199.99
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