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Analytics Topic: Python | Code: ACCEL-PYTH-CML
The Comprehensive Machine Learning with Python training course builds on the Comprehensive Data Science with Python class and teaches attendees how to write machine learning applications in Python....
Azure Data and AI Topic: Public Cloud | Code: AI-900T00
This course is designed for candidates looking to demonstrate foundational-level knowledge of machine learning (ML) and artificial intelligence (AI) concepts, and related Microsoft Azure services. You...
Machine Learning & Artificial Intelligence (AI) Topic: Public Cloud | Code: AWS-ML-PL
Learn how to use the machine learning (ML) pipeline with Amazon SageMaker with hands-on exercises and four days of instruction. You will learn how to frame your business problems as ML problems and...
Data Analysis Topic: Public Cloud | Code: GCP-ML
This course teaches you how to build Vertex AI AutoML models without writing a single line of code; build BigQuery ML models knowing basic SQL; create Vertex AI custom training jobs you deploy using...
Databricks Topic: Spark | Code: SCALABLEML
This course guides students through the process of building machine learning solutions using Spark. You will build and tune ML models with SparkML using transformers, estimators, and pipelines. This...
Azure Data and AI Topic: Public Cloud | Code: AI-102T00
This course is designed to teach software developers how to create AI solutions that leverageAzure Cognitive Services,Azure Cognitive Search, andMicrosoft Bot Framework to buildcomputer vision,...
Machine Learning & Artificial Intelligence (AI) Topic: Public Cloud | Code: AWS-MLO-ENG
This course builds upon and extends the DevOps practice prevalent in software development to build, train, and deploy machine learning (ML) models. The course stresses the importance of data, model,...
Analytics Topic: AI & Machine Learning | Code: INNO-MLforOps
Machine Learning and AI represent a great opportunity. All too often, taking a Machine Learning prototype to production makes a difference between success and failure in the AI strategy of a company....