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Learn the techniques and approaches to successfully pass the AWS Certified Machine Learning - Specialty Exam with hands-on exercises.
Getting the AWS Certified Machine Learning - certification highlights your versatility as an ML engineer. Usually, ML engineers focus on handling data and building models, so if you know can use cloud tools, it makes you an even more valuable as an MLOps engineer. You’ll be able to ingest your own data, get through the feature engineering process, train and evaluate models, and deploy them to where they will be consumed. This certification shows that you know how to do full-stack ML development.
In this series of videos, author Milecia McGregor shares a mix of slides and nstrations in AWS, along with some examples in Visual Studio with Python. It’s just what you need to learn to pass the exam. It includes an overview of concepts with hands-on work using AWS tools like Kinesis and EMR.
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FILE LIST
Filename
Size
~Get Your Files Here !/Bonus Resources.txt
386 B
~Get Your Files Here !/Introduction/001. AWS Certified Machine Learning Specialty Introduction.mp4
19.3 MB
~Get Your Files Here !/Introduction/002. AWS Certified Machine Learning Specialty Introduction.mp4
19.3 MB
~Get Your Files Here !/Lesson 1 Data Engineering/001. Learning objectives.mp4
4.2 MB
~Get Your Files Here !/Lesson 1 Data Engineering/002. 1.1 Create data repositories for machine learning.mp4
24.3 MB
~Get Your Files Here !/Lesson 1 Data Engineering/003. 1.2 Identify and implement a data ingestion solution.mp4
24.6 MB
~Get Your Files Here !/Lesson 1 Data Engineering/004. 1.3 Decide between ingestion tools.mp4
21.4 MB
~Get Your Files Here !/Lesson 1 Data Engineering/005. 1.4 Identify and implement a data transformation solution.mp4
22.1 MB
~Get Your Files Here !/Lesson 1 Data Engineering/006. 1.5 Get some practice questions and exercises.mp4
12.9 MB
~Get Your Files Here !/Lesson 2 Exploratory Data Analysis/001. Learning objectives.mp4
2.8 MB
~Get Your Files Here !/Lesson 2 Exploratory Data Analysis/002. 2.1 Sanitize and prepare data for modeling.mp4
25 MB
~Get Your Files Here !/Lesson 2 Exploratory Data Analysis/003. 2.2 Perform feature engineering.mp4
20 MB
~Get Your Files Here !/Lesson 2 Exploratory Data Analysis/004. 2.3 Analyze data for machine learning.mp4
25.8 MB
~Get Your Files Here !/Lesson 2 Exploratory Data Analysis/005. 2.4 Visualize data for machine learning.mp4
21 MB
~Get Your Files Here !/Lesson 2 Exploratory Data Analysis/006. 2.5 Get some practice questions and exercises.mp4
12.7 MB
~Get Your Files Here !/Lesson 3 Training Models/001. Learning objectives.mp4
3.6 MB
~Get Your Files Here !/Lesson 3 Training Models/002. 3.1 Frame business problems as machine learning problems.mp4
22.4 MB
~Get Your Files Here !/Lesson 3 Training Models/003. 3.2 Select the appropriate model for a machine learning problem.mp4
23 MB
~Get Your Files Here !/Lesson 3 Training Models/004. 3.3 Understand the intuition behind the model.mp4
15.5 MB
~Get Your Files Here !/Lesson 3 Training Models/005. 3.4 Train machine learning models.mp4
22.2 MB
~Get Your Files Here !/Lesson 3 Training Models/006. 3.5 Choose compute option.mp4
18.3 MB
~Get Your Files Here !/Lesson 3 Training Models/007. 3.6 Get some practice questions and exercises.mp4
20.4 MB
~Get Your Files Here !/Lesson 4 Evaluating Models/001. Learning objectives.mp4
3.1 MB
~Get Your Files Here !/Lesson 4 Evaluating Models/002. 4.1 Perform hyperparameter optimization.mp4
16.1 MB
~Get Your Files Here !/Lesson 4 Evaluating Models/003. 4.2 Use other methods for hyperparameter optimization.mp4
22.2 MB
~Get Your Files Here !/Lesson 4 Evaluating Models/004. 4.3 Evaluate machine learning models.mp4
14.2 MB
~Get Your Files Here !/Lesson 4 Evaluating Models/005. 4.4 Compare models with different metrics.mp4
20.8 MB
~Get Your Files Here !/Lesson 4 Evaluating Models/006. 4.5 Implement machine learning best practices.mp4
24.5 MB
~Get Your Files Here !/Lesson 4 Evaluating Models/007. 4.6 Get some practice questions and exercises.mp4
14.2 MB
~Get Your Files Here !/Lesson 5 Machine Learning Implementation and Operations/001. Learning objectives.mp4
3.8 MB
~Get Your Files Here !/Lesson 5 Machine Learning Implementation and Operations/002. 5.1 Build machine learning solutions for production.mp4
19.5 MB
~Get Your Files Here !/Lesson 5 Machine Learning Implementation and Operations/003. 5.2 Address scaling concerns.mp4
19.7 MB
~Get Your Files Here !/Lesson 5 Machine Learning Implementation and Operations/004. 5.3 Recommend and implement the appropriate machine learning services.mp4
11.1 MB
~Get Your Files Here !/Lesson 5 Machine Learning Implementation and Operations/005. 5.4 Apply basic AWS security practices to machine learning solutions.mp4
20.6 MB
~Get Your Files Here !/Lesson 5 Machine Learning Implementation and Operations/006. 5.5 Deploy and operationalize machine learning solutions.mp4
21.9 MB
~Get Your Files Here !/Lesson 5 Machine Learning Implementation and Operations/007. 5.6 Get some practice questions and exercises.mp4
19.1 MB
~Get Your Files Here !/Summary/001. AWS Certified Machine Learning Specialty Summary.mp4
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