Professional Machine Learning Engineer Certification Video Training Course
The complete solution to prepare for for your exam with Professional Machine Learning Engineer certification video training course. The Professional Machine Learning Engineer certification video training course contains a complete set of videos that will provide you with thorough knowledge to understand the key concepts. Top notch prep including Google Professional Machine Learning Engineer exam dumps, study guide & practice test questions and answers.
Professional Machine Learning Engineer Certification Video Training Course Exam Curriculum
Introduction
Framing Business Problems as Machine Learning Problems
Technical Framing of ML Problems
Introduction to Machine Learning
Building Machine Learning Models
Machine Learning Training Pipelines
Machine Learning and Related Google Cloud Services
Machine Learning Infrastructure and Security
Exploratory Data Analysis and Feature Engineering
Managing and Preparing Data for Machine Learning
Building Machine Learning Models
Training and Testing Machine Learning Models
Machine Learning Serving and Monitoring
Tuning and Optimizing Machine Learning Pipelines
Tips and Resources
Thank you for taking the course!
Introduction
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1:38
1. Introduction
Framing Business Problems as Machine Learning Problems
-
5:44
1. Defining ML Success Criteria
-
7:55
2. Steps to Building ML Models
-
3:30
3. Utilizing ML Models in Production
Technical Framing of ML Problems
-
8:23
1. Supervised Learning - Classification
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3:25
2. Supervised Learning - Regression
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5:44
3. Unsupervised Learning
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3:10
4. Semi-supervised Learning
-
2:51
5. Reinforcement Learning
-
5:46
6. ML Model Input Structure
-
1:57
7. ML Model Output Structure
-
3:46
8. Risks to Successful ML Model Development
Introduction to Machine Learning
-
3:15
1. 3 Categories of Machine Learning Problems
-
1:04
2. 2 Approaches to Machine Learning
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5:43
3. Symbolic Machine Learning
-
4:20
4. Neural Networks and Machine Learning
Building Machine Learning Models
-
2:28
1. Features and Labels
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5:17
2. Feature Engineering
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3:48
3. Model Building
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4:48
4. Evaluating Models
-
7:22
5. Gradient Descent and Backpropagation
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5:10
6. Troubleshooting Machine Learning Models
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3:40
7. Building Models in Google Cloud
-
2:38
8. Using Pretrained Models
Machine Learning Training Pipelines
-
6:11
1. Overview of ML Pipelines
-
3:42
2. 3 Steps to Production
-
3:39
3. Comprehensive ML Services
Machine Learning and Related Google Cloud Services
-
3:04
1. Introduction to Vertex AI
-
5:53
2. Vetex AI Datasets
-
4:35
3. Vertex AI Featurestore
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3:43
4. Vertex AI Workbences
-
5:23
5. Vetex AI Training
-
7:55
6. Introduction to Cloud Storage
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6:11
7. Introduction to BigQuery
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2:51
8. Introduction to Cloud Dataflow
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3:20
9. Introduction to Cloud Dataproc
Machine Learning Infrastructure and Security
-
6:11
1. Virtual Machines and Containers
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2:36
2. GPUs and TPUs
-
2:26
3. Edge Devices
-
5:30
4. Securing ML Models
-
6:19
5. Protecting Privacy in ML Models
Exploratory Data Analysis and Feature Engineering
-
3:18
1. Basic Statistics for Data Exploration
-
5:24
2. Encoding Data
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4:25
3. Feature Selection
-
6:15
4. Class Imbalance
-
4:04
5. Feature Crosses
-
32:34
6. TensorFlow Transforms
Managing and Preparing Data for Machine Learning
-
4:39
1. Organizing and Optimizing Training Sets
-
5:59
2. Handling Missing Data
-
6:00
3. Handling Outliers in Data
-
3:12
4. Avoiding Data Leakage
Building Machine Learning Models
-
4:34
1. Choosing Models and Frameworks
-
4:32
2. Interpretability of Models
-
4:33
3. Transfer Learning
-
4:13
4. Data Augmentation
-
3:04
5. Troubleshooting Models
Training and Testing Machine Learning Models
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6:08
1. Training Data File Formats
-
5:14
2. Hyperparameter Tuning
-
4:05
3. Baselines and Unit Tests
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2:26
4. Distributed Training
Machine Learning Serving and Monitoring
-
2:44
1. Google Cloud Serving Options
-
1:29
2. Scaling Prediction Services
-
4:07
3. Performance and Business Quality of Predictions
-
4:25
4. Fairness in ML Models
Tuning and Optimizing Machine Learning Pipelines
-
9:36
1. Optimizing Training Pipelines
-
4:45
2. Optimizing Serving Pipelines
Tips and Resources
-
6:45
1. Exam Strategies and Tips
-
2:30
2. Additional Resources to Help Prepare for the Exam
Thank you for taking the course!
-
0:33
1. Thank you for taking the course!
About Professional Machine Learning Engineer Certification Video Training Course
Professional Machine Learning Engineer certification video training course by prepaway along with practice test questions and answers, study guide and exam dumps provides the ultimate training package to help you pass.
Prepaway's Professional Machine Learning Engineer video training course for passing certification exams is the only solution which you need.
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Professional Machine Learning Engineer Premium Bundle
- Premium File 294 Questions & Answers. Last update: Nov 13, 2024
- Training Course 69 Video Lectures
- Study Guide 376 Pages
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