Machine Learning with Amazon SageMaker Training

3896 Learners

PR Tech Skills is now offering Machine Learning course with Amazon SageMaker which is especially designed by global subject matter experts to gain experience in designing an end-to-end solution using Azure Synapse Analytics. PR Tech Skills provides one-on-one and corporate training so that candidates can get hands-on experience through real-life assignments and projects to earn globally recognized certificate.

Machine Learning with Amazon SageMaker course is for Cloud Architects and IT professionals who are interested in learning more about Azure and Azure services and have architectural expertise in infrastructure and solution design in cloud technologies. This workshop is designed for anyone interested in learning about Microsoft Azure, as well as those experienced in other non-Microsoft cloud technologies.

In PR Tech Skills, candidates get one-on-one and corporate training by global subject matter experts of Machine Learning with Amazon SageMaker course. In Machine Learning with Amazon SageMaker course, a team of professionals guide candidates to gain hands-on experience through real-world assignments and projects which will help candidates to advance their skills. Once candidates enroll for themselves for Multisoft System’s Machine Learning with Amazon SageMaker course then will be getting lifetime access to the online learning environment, digital course materials, round-the-clock after-training support, and video recordings, and once the complete the course successfully candidates will earn globally recognized certificate.

Machine Learning with Amazon SageMaker Course Objective
  • After the completion of this course, candidates will be able to design and build a complete end-to-end advanced analytics solution using Azure Synapse Analytics.
Machine Learning with Amazon SageMaker Online Training
  • Recorded Videos After Training
  • Digital Learning Material
  • Course Completion Certificate
  • 24x7 After Training Support
Target Audience
  •  
Machine Learning with Amazon SageMaker Course Prerequisites
  • Candidates should have Microsoft Azure Essentials Knowledge
  • Candidates should be experienced in other non-Microsoft cloud technologies.
Machine Learning with Amazon SageMaker Course Certification
  • PR Tech Skills provides a training certification after successful completion of Machine Learning with Amazon SageMaker course.

PR Tech Skills is now offering Machine Learning course with Amazon SageMaker which is especially designed by global subject matter experts to gain experience in designing an end-to-end solution using Azure Synapse Analytics. PR Tech Skills provides one-on-one and corporate training so that candidates can get hands-on experience through real-life assignments and projects to earn globally recognized certificate.

Machine Learning with Amazon SageMaker course is for Cloud Architects and IT professionals who are interested in learning more about Azure and Azure services and have architectural expertise in infrastructure and solution design in cloud technologies. This workshop is designed for anyone interested in learning about Microsoft Azure, as well as those experienced in other non-Microsoft cloud technologies.

In PR Tech Skills, candidates get one-on-one and corporate training by global subject matter experts of Machine Learning with Amazon SageMaker course. In Machine Learning with Amazon SageMaker course, a team of professionals guide candidates to gain hands-on experience through real-world assignments and projects which will help candidates to advance their skills. Once candidates enroll for themselves for Multisoft System’s Machine Learning with Amazon SageMaker course then will be getting lifetime access to the online learning environment, digital course materials, round-the-clock after-training support, and video recordings, and once the complete the course successfully candidates will earn globally recognized certificate.

Machine Learning with Amazon SageMaker Course Objective
  • After the completion of this course, candidates will be able to design and build a complete end-to-end advanced analytics solution using Azure Synapse Analytics.
Machine Learning with Amazon SageMaker Online Training
  • Recorded Videos After Training
  • Digital Learning Material
  • Course Completion Certificate
  • 24x7 After Training Support
Target Audience
  •  
Machine Learning with Amazon SageMaker Course Prerequisites
  • Candidates should have Microsoft Azure Essentials Knowledge
  • Candidates should be experienced in other non-Microsoft cloud technologies.
Machine Learning with Amazon SageMaker Course Certification
  • PR Tech Skills provides a training certification after successful completion of Machine Learning with Amazon SageMaker course.

Machine Learning with Amazon SageMaker Training Course Content

 

Module 1: Introduction

  • Overview of key Machine Learning and Deep Learning concepts
  • Getting about in AWS
  • Overview of SageMaker features
  • Taking your first look at SageMaker studio

 Module 2: Preparing your dataset

  • Identifying your data and articulating your problem
  • Format data for consistency
  • Cleaning and validating your data
  • Uploading to SageMaker

 Module 3: Data Analysis

  • Clustering
  • Trend analysis
  • Finding other relationships between different types of data

 Module 4: Data Visualisation

  • Frequency tables
  • Cross-tabulation tables
  • Bar charts
  • Line graphs
  • Pie charts
  • Heat Maps
  • Scatter graphs

 Module 5: Training your Model

  • Creating a Training job
  • Assigning Compute resources
  • Selecting the right algorithm
  • Overview of using custom code (Python, TensorFlow)

 Module 6: Deploying your Model

  • SageMaker Hosting Services
  • Configuring and creating an HTTPS endpoint

 Module 7: SageMaker Batch Transforms

  • Making inferences from your dataset
  • Indexing and real-time indices
  • Using Batch Transform to preprocess data to train a new model

Module 8: Validating your Model

  • SageMaker Debugger
  • Offline testing
  • Online testing
  • Validating using a holdout set

 Module 9: Model Tuning

  • Defining metrics
  • Hyperparameter tuning
  • Automatic model tuning

 Module 10: Deploying and sharing using SageMaker Feature Store

  • Creating, Storing and Sharing Features
  • Online / Offline
  • Feature Groups
  • Discovery
  • Batch Inference
  • Feature Data Ingestion

Drop Us a Query

+91 95550 06479

Available 24x7 for your queries

Machine Learning with Amazon SageMaker Corporate Training & Certification Program

Employee training and development programs are essential to the success of businesses worldwide. With our best-in-class corporate trainings you can enhance employee productivity and increase efficiency of your organization. Created by global subject matter experts, we offer highest quality content that are tailored to match your company’s learning goals and budget.

Learn from the experts

Customized Training

Be it schedule, duration or course material, you can entirely customize the trainings depending on the learning requirements of your workforce. You can even choose a trainer from our team of certified industry experts.

Learn from the experts

Expert Mentors

Get trained from our team of highly skilled and certified trainers, who are officially accredited professionals with relevant industry experience and adept in providing the knowledge and skills required to be successful.

Learn from the experts

360º Learning Solution

Engage your employees with our all-inclusive learning platform. Avail benefits of 24/7 access to the learning management system, industry-certified mentors, assessments & mock tests, real-time learning and more.

Learn from the experts

Learning Assessment

Check test score and performance with our skills analysis tools. Our detail scoreboard displays scores, areas of strength, detailed answer of questions and more for each employee.

Download Corporate Brochure

Machine Learning with Amazon SageMaker Training FAQ's

The limitless analytics tool known as Azure Synapse Analytics includes big data analytics, enterprise data warehousing, and data integration. You can use serverless or dedicated options to do data queries at scale as you see suitable.


Azure Synapse Analytics is essentially a development of Azure SQL Data Warehouse. A massively parallel processing (MPP) cloud-based, a scale-out relational database called Azure SQL Data Warehouse was created to analyze and store vast volumes of data on the Microsoft Azure cloud platform.


In the branch of technology known as "machine learning," computers are taught to do a range of activities, including forecasts, suggestions, guesses, etc., based on prior knowledge or historical data. Machine learning teaches computers to behave like people by utilizing past data and projected data.


A branch of computer science called artificial intelligence (AI) is focused on building intelligent machines that behave and act like people. Data science is not a subfield of AI like machine learning and deep learning are. Data science is mainly concerned with concluding data to create solid IT and business strategies. Additionally, it handles the collection, handling, analysis, and visualization of data. Building models for decision-making is the emphasis of AI, ML, and DL. To address an issue, data science uses mathematical, statistical, and probabilistic methods as well as model optimization. This is where data science and AI interact.


+91 9555006479

Available 24x7