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
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1. Introduction1:38
Framing Business Problems as Machine Learning Problems
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1. Defining ML Success Criteria5:44
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2. Steps to Building ML Models7:55
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3. Utilizing ML Models in Production3:30
Technical Framing of ML Problems
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1. Supervised Learning - Classification8:23
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2. Supervised Learning - Regression3:25
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3. Unsupervised Learning5:44
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4. Semi-supervised Learning3:10
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5. Reinforcement Learning2:51
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6. ML Model Input Structure5:46
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7. ML Model Output Structure1:57
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8. Risks to Successful ML Model Development3:46
Introduction to Machine Learning
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1. 3 Categories of Machine Learning Problems3:15
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2. 2 Approaches to Machine Learning1:04
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3. Symbolic Machine Learning5:43
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4. Neural Networks and Machine Learning4:20
Building Machine Learning Models
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1. Features and Labels2:28
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2. Feature Engineering5:17
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3. Model Building3:48
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4. Evaluating Models4:48
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5. Gradient Descent and Backpropagation7:22
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6. Troubleshooting Machine Learning Models5:10
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7. Building Models in Google Cloud3:40
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8. Using Pretrained Models2:38
Machine Learning Training Pipelines
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1. Overview of ML Pipelines6:11
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2. 3 Steps to Production3:42
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3. Comprehensive ML Services3:39
Machine Learning and Related Google Cloud Services
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1. Introduction to Vertex AI3:04
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2. Vetex AI Datasets5:53
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3. Vertex AI Featurestore4:35
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4. Vertex AI Workbences3:43
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5. Vetex AI Training5:23
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6. Introduction to Cloud Storage7:55
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7. Introduction to BigQuery6:11
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8. Introduction to Cloud Dataflow2:51
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9. Introduction to Cloud Dataproc3:20
Machine Learning Infrastructure and Security
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1. Virtual Machines and Containers6:11
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2. GPUs and TPUs2:36
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3. Edge Devices2:26
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4. Securing ML Models5:30
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5. Protecting Privacy in ML Models6:19
Exploratory Data Analysis and Feature Engineering
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1. Basic Statistics for Data Exploration3:18
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2. Encoding Data5:24
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3. Feature Selection4:25
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4. Class Imbalance6:15
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5. Feature Crosses4:04
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6. TensorFlow Transforms32:34
Managing and Preparing Data for Machine Learning
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1. Organizing and Optimizing Training Sets4:39
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2. Handling Missing Data5:59
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3. Handling Outliers in Data6:00
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4. Avoiding Data Leakage3:12
Building Machine Learning Models
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1. Choosing Models and Frameworks4:34
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2. Interpretability of Models4:32
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3. Transfer Learning4:33
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4. Data Augmentation4:13
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5. Troubleshooting Models3:04
Training and Testing Machine Learning Models
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1. Training Data File Formats6:08
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2. Hyperparameter Tuning5:14
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3. Baselines and Unit Tests4:05
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4. Distributed Training2:26
Machine Learning Serving and Monitoring
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1. Google Cloud Serving Options2:44
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2. Scaling Prediction Services1:29
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3. Performance and Business Quality of Predictions4:07
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4. Fairness in ML Models4:25
Tuning and Optimizing Machine Learning Pipelines
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1. Optimizing Training Pipelines9:36
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2. Optimizing Serving Pipelines4:45
Tips and Resources
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1. Exam Strategies and Tips6:45
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2. Additional Resources to Help Prepare for the Exam2:30
Thank you for taking the course!
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1. Thank you for taking the course!0:33
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 304 Questions & Answers. Last update: Dec 16, 2024
- Training Course 69 Video Lectures
- Study Guide 376 Pages
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