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Professional Machine Learning Engineer: Professional Machine Learning Engineer

PDFs and exam guides are not so efficient, right? Prepare for your Google examination with our training course. The Professional Machine Learning Engineer course contains a complete batch of videos that will provide you with profound and thorough knowledge related to Google certification exam. Pass the Google Professional Machine Learning Engineer test with flying colors.

Rating

4.51

Students

100

Duration

05:34:24 h

$16.49

$14.99

Curriculum for Professional Machine Learning Engineer Certification Video Course

Introduction

1 Lectures

Time 00:01:38

Framing Business Problems as Machine Learning Problems

3 Lectures

Time 00:17:09

Technical Framing of ML Problems

8 Lectures

Time 00:35:02

Introduction to Machine Learning

4 Lectures

Time 00:14:22

Building Machine Learning Models

8 Lectures

Time 00:35:11

Machine Learning Training Pipelines

3 Lectures

Time 00:13:32

Machine Learning and Related Google Cloud Services

9 Lectures

Time 00:42:55

Machine Learning Infrastructure and Security

5 Lectures

Time 00:23:02

Exploratory Data Analysis and Feature Engineering

6 Lectures

Time 00:56:00

Managing and Preparing Data for Machine Learning

4 Lectures

Time 00:19:50

Building Machine Learning Models

5 Lectures

Time 00:20:56

Training and Testing Machine Learning Models

4 Lectures

Time 00:17:53

Machine Learning Serving and Monitoring

4 Lectures

Time 00:12:45

Tuning and Optimizing Machine Learning Pipelines

2 Lectures

Time 00:14:21

Tips and Resources

2 Lectures

Time 00:09:15

Thank you for taking the course!

1 Lectures

Time 00:00:33

Name of Video	Time
1. Introduction	1:38

Name of Video	Time
1. Defining ML Success Criteria	5:44
2. Steps to Building ML Models	7:55
3. Utilizing ML Models in Production	3:30

Name of Video	Time
1. Supervised Learning - Classification	8:23
2. Supervised Learning - Regression	3:25
3. Unsupervised Learning	5:44
4. Semi-supervised Learning	3:10
5. Reinforcement Learning	2:51
6. ML Model Input Structure	5:46
7. ML Model Output Structure	1:57
8. Risks to Successful ML Model Development	3:46

Name of Video	Time
1. 3 Categories of Machine Learning Problems	3:15
2. 2 Approaches to Machine Learning	1:04
3. Symbolic Machine Learning	5:43
4. Neural Networks and Machine Learning	4:20

Name of Video	Time
1. Features and Labels	2:28
2. Feature Engineering	5:17
3. Model Building	3:48
4. Evaluating Models	4:48
5. Gradient Descent and Backpropagation	7:22
6. Troubleshooting Machine Learning Models	5:10
7. Building Models in Google Cloud	3:40
8. Using Pretrained Models	2:38

Name of Video	Time
1. Overview of ML Pipelines	6:11
2. 3 Steps to Production	3:42
3. Comprehensive ML Services	3:39

Name of Video	Time
1. Introduction to Vertex AI	3:04
2. Vetex AI Datasets	5:53
3. Vertex AI Featurestore	4:35
4. Vertex AI Workbences	3:43
5. Vetex AI Training	5:23
6. Introduction to Cloud Storage	7:55
7. Introduction to BigQuery	6:11
8. Introduction to Cloud Dataflow	2:51
9. Introduction to Cloud Dataproc	3:20

Name of Video	Time
1. Virtual Machines and Containers	6:11
2. GPUs and TPUs	2:36
3. Edge Devices	2:26
4. Securing ML Models	5:30
5. Protecting Privacy in ML Models	6:19

Name of Video	Time
1. Basic Statistics for Data Exploration	3:18
2. Encoding Data	5:24
3. Feature Selection	4:25
4. Class Imbalance	6:15
5. Feature Crosses	4:04
6. TensorFlow Transforms	32:34

Name of Video	Time
1. Organizing and Optimizing Training Sets	4:39
2. Handling Missing Data	5:59
3. Handling Outliers in Data	6:00
4. Avoiding Data Leakage	3:12

Name of Video	Time
1. Choosing Models and Frameworks	4:34
2. Interpretability of Models	4:32
3. Transfer Learning	4:33
4. Data Augmentation	4:13
5. Troubleshooting Models	3:04

Name of Video	Time
1. Training Data File Formats	6:08
2. Hyperparameter Tuning	5:14
3. Baselines and Unit Tests	4:05
4. Distributed Training	2:26

Name of Video	Time
1. Google Cloud Serving Options	2:44
2. Scaling Prediction Services	1:29
3. Performance and Business Quality of Predictions	4:07
4. Fairness in ML Models	4:25

Name of Video	Time
1. Optimizing Training Pipelines	9:36
2. Optimizing Serving Pipelines	4:45

Name of Video	Time
1. Exam Strategies and Tips	6:45
2. Additional Resources to Help Prepare for the Exam	2:30

Name of Video	Time
1. Thank you for taking the course!	0:33

Google Professional Machine Learning Engineer Exam Dumps, Practice Test Questions

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Professional Machine Learning Engineer Premium Bundle

Premium File: 294 Questions & Answers. Last update: Dec 19, 2024
Training Course: 69 Video Lectures
Study Guide: 376 Pages

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Professional Machine Learning Engineer Premium Bundle

Premium File: 294 Questions & Answers. Last update: Dec 19, 2024
Training Course: 69 Video Lectures
Study Guide: 376 Pages

Latest Questions
100% Accurate Answers
Fast Exam Updates

$69.97

$49.99

Free Professional Machine Learning Engineer Exam Questions & Professional Machine Learning Engineer Dumps

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