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Google Professional Machine Learning Engineer Certification (GCP-PMLE) with Practice Exam
00a Course Overview
00-Course Preview (4:02)
00 Source Files
01 (Prerequisite) Introduction to Machine Learning
00A What Is Machine Learning (5:26)
00B Types Of Machine Learning Models (12:17)
00C What Is Supervised Learning (11:04)
01 How Does A Machine Learning Agent Learn (7:38)
02 What Is Inductive Learning (4:11)
03 Performance Of A Machine Learning Algorithm (4:14)
04 Handle Noise In Data (5:22)
05 Powerful Tools With Machine Learning Libraries (12:11)
02a Introduction to Cloud Computing for Machine Learning
01 Why Use The Cloud For Machine Learning (2:38)
02 Benefits Of Cloud Computing (1:23)
03 Public Vs Private Cloud Computing (3:18)
04 Managed Vs Unmanaged Cloud Computing (1:30)
05 Iaas Vs Paas Vs Saas In Cloud Computing (3:33)
06 Google Cloud Vs Aws Vs Azure For Machine Learning (3:32)
Source Files
02b Image classification with AutoML and Vertex AI in Google Cloud
01 Build A Google Cloud Project For Machine Learning (6:45)
02A What Is A Service Account In Google Cloud Platform (1:59)
02B Build A Service Account And Key In Google Cloud (6:52)
Source Code
02c Build an image dataset for classification from a Cloud Storage bucket
01 Image Dataset For Machine Learning From Cloud Storage (2:12)
02 Build An Image Dataset For Classification From A Cloud Storage Bucket (5:36)
Source Code
02d Train an AutoML image classifier machine learning model
01 Train An Automl Image Classifier Machine Learning Model (6:27)
02 Deploy Machine Learning Model To Cloud Endpoint (3:38)
03 Make A Prediction With A Cloud Machine Learning Model (5:14)
Source Files
03 Build a streaming data pipeline in Google Cloud with BigQuery
01 Sign In To Google Cloud (2:46)
02 Build A Bigquery Dataset In Google Cloud Console (8:24)
03 Build A Cloud Storage Bucket In Google Cloud (8:15)
Source Files
04 Build data streaming Dataflow Pipeline with Google Cloud API
01 What Is Dataflow Api In Google Cloud (2:44)
02 What Is Pubsub In Google Cloud (4:24)
03 Build Data Streaming Dataflow Pipeline With Google Cloud Api (9:39)
Source Files
05 Query and visualize data with BigQuery SQL
01 Analyze Streaming Data With Bigquery Google Standard SQL (6:39)
02 Visualize Bigquery Cloud Data With Google Data Studio (3:54)
Source Files
Test Your Knowledge
Practice Exam
03 Build A Cloud Storage Bucket In Google Cloud
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