Whizlabs
Exam Prep MLS-C01: AWS Certified Specialty Machine Learning Specialization
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Whizlabs

Exam Prep MLS-C01: AWS Certified Specialty Machine Learning Specialization

Launch your career in Machine Learning. Learn the fundamentals of AWS ML tools to prepare for AWS Certified Machine Learning Specialty Certification

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Get in-depth knowledge of a subject

(28 reviews)

Beginner level

Recommended experience

Flexible schedule
1 month at 10 hours a week
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Share your expertise with employers
Get in-depth knowledge of a subject

(28 reviews)

Beginner level

Recommended experience

Flexible schedule
1 month at 10 hours a week
Earn a career credential
Share your expertise with employers

Overview

  • Fundamentals of Machine Learning Algorithms

  • Demonstrate AWS Services for Machine Learning.

  • Preparation for AWS Certified Machine Learning Specialty Certification

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
28 practice exercises

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Whizlabs

Specialization - 5 course series

What you'll learn

  • Analyze various data gathering techniques

  • Analyze techniques to handle missing data

  • Implement feature extraction and feature selection with Principal Component Analysis and Variance Thresholds

Skills you'll gain

Category: AWS SageMaker
Category: Data Migration
Category: Dimensionality Reduction
Category: Feature Engineering
Category: Data Manipulation
Category: Data Cleansing
Category: Machine Learning
Category: Unsupervised Learning
Category: Data Collection
Category: Exploratory Data Analysis
Category: Amazon Web Services
Category: Jupyter

What you'll learn

  • Analyze and visualize data for machine learning

  • Demonstrate the implementation of Kinesis Data Streams

  • Examine AWS Glue service with creation of crawler and transform job

Skills you'll gain

Category: Extract, Transform, Load
Category: Real Time Data
Category: Amazon Redshift
Category: AWS Kinesis
Category: Data Visualization Software
Category: Data Management
Category: Applied Machine Learning
Category: Data Sharing
Category: Exploratory Data Analysis
Category: Data Processing
Category: Machine Learning
Category: Data Analysis
Category: Data Transformation
Category: Amazon S3

What you'll learn

  • Analyze Modeling Concepts and train Machine Learning Models

  • Examine performance of machine learning models

  • Implement automatic model tuning by training a model

Skills you'll gain

Category: AWS SageMaker
Category: Applied Machine Learning
Category: Predictive Modeling
Category: Data Modeling
Category: Performance Tuning
Category: Amazon Web Services
Category: Machine Learning
Category: Machine Learning Algorithms

What you'll learn

  • Determine algorithm concepts in ML

  • Design Regression algorithms and Classification based algorithms

  • Examine Reinforcement learning algorithms and Forecasting algorithms

Skills you'll gain

Category: Machine Learning Algorithms
Category: Regression Analysis
Category: Forecasting
Category: Reinforcement Learning
Category: AWS SageMaker
Category: Supervised Learning
Category: Unsupervised Learning
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Algorithms
Category: Classification And Regression Tree (CART)
Category: Machine Learning
Category: Text Mining
Category: Image Analysis

What you'll learn

  • Design machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance

  • Implement appropriate machine learning services and features for a given problem

  • Develop machine learning solutions with lab demonstration

Skills you'll gain

Category: AWS SageMaker
Category: Data Security
Category: Amazon Web Services
Category: Cloud Computing
Category: Data Management
Category: Scalability
Category: Cloud Security
Category: Applied Machine Learning
Category: MLOps (Machine Learning Operations)
Category: Machine Learning
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Disaster Recovery
Category: Application Deployment

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Instructor

Whizlabs Instructor
Whizlabs
114 Courses77,959 learners

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