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Machine Learning with Amazon SageMaker Training Certification Course

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The Machine Learning with Amazon SageMakes course is now available through Multisoft Virtual Academy. It was specifically created by international subject matter experts to gain experience in developing an end-to-end solution utilizing Azure Synapse Analytics. The one-on-one and corporate training offered by Multisoft Virtual Academy allows candidates to get practical experience through real-world projects and assignments in order to achieve internationally recognized certificates.

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27 Apr 2024	24	06:00 PM - 09:00 PM	Sat, Sun
04 May 2024	24	06:00 PM - 09:00 PM	Sat, Sun
11 May 2024	24	06:00 PM - 09:00 PM	Sat, Sun

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$ 450

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Instructor-led Training Live Online Classes

27 Apr 2024	24	06:00 PM - 09:00 PM	Sat, Sun
04 May 2024	24	06:00 PM - 09:00 PM	Sat, Sun
11 May 2024	24	06:00 PM - 09:00 PM	Sat, Sun

Course Price At

$ 450

Enroll Now

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Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.

Course Price At

$ 450

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Instructor-Led Online Training Parameters

Course Highlights

Duration: 24 Hrs.
Subject Matter Expert
After Training Support
Recorded Sessions
Lifetime e-Learning Access
Free Online Assessments

One to One Training

Machine Learning with Amazon SageMaker Training Course Overview

The Cloud Architects and IT professionals who have architectural knowledge in infrastructure and solution design in cloud technologies and are eager in learning more about Azure and Azure services should take the Machine Learning with Amazon Sagemakes course. Anyone interested in learning more about Microsoft Azure as well as those with experience in other non-Microsoft cloud platforms should attend this workshop.

Candidates at Multisoft Virtual Academy receive one-on-one and corporate training from global subject matter experts in the Machine Learning with Amazon SageMakes course. A team of professional helps students in the Machine Learning with Amazon Sagemakes course obtain hands-on experience through real-world exercises and projects that will help students enhance their skills. Candidates who sign up for the Machine Learning with Amazon SageMakes course through Multisoft Virtual Academy will receive lifetime access to the online learning environment, digital course materials, round-the-clock post-training support, and video recordings. Candidates who successfully complete the course will also receive a globally recognized certificate.

Machine Learning with Amazon Sagemakes course objective

The objective of Machine Learning with Amazon Sagemakes are mentioned below:

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 Training Course Content

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Module 1: Introduction
Module 2: Preparing your dataset
Module 3: Data Analysis
Module 4: Data Visualisation
Module 5: Training your Model
Module 6: Deploying your Model
Module 7: SageMaker Batch Transforms
Module 8: Validating your Model
Module 9: Model Tuning
Module 10: Deploying and sharing using SageMaker Feature Store

Machine Learning with Amazon SageMaker Training Course Prerequisite

Candidates should have Microsoft Azure Essentials Knowledge
Candidates should be experienced in other non-Microsoft cloud technologies.

Target Audience

Those with architectural expertise in infrastructure and solutions design in cloud technologies and who wish to learn more about Azure and its services are the target audience for Machine Learning with Amazon Sagemakers. The workshop is best suited to those with experience in other non-Microsoft cloud technologies, who meet the prerequisites, and who want to cross-train on Azure.

Machine Learning with Amazon SageMaker Training Certification

Multisoft Virtual Academy provides a globally recognized training certificate to the participants, after successful completion of a training program. The training certificates are recognized and accepted across the world.

Multisoft Virtual Academy's training certificate comes with lifetime validity.

Aspirants can directly enroll for the desired course from the Book Now Button in the course page. You can also connect on Whatsapp at +91 8130666206 to talk with a training advisor. Multisoft Virtual Academy also offers customized training programs on a wide range of domains and skills.

All training programs offered by Multisoft Virtual Academy are delivered by certified industry experts, who have years of experience in the relevant domains. Multisoft Global Subject Matter Experts impart knowledge on a wide variety of training courses through one –on-one and corporate training sessions.

Multisoft Virtual Academy training certification can help participants stand out in the competitive job market. Since the training certificates are internationally accepted, participants can showcase their skills and knowledge to employers across the world.

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Machine Learning with Amazon SageMaker Corporate Training Certification

Interactive Virtual Training

Global Subject Matter Experts
Step-by –Step Learning Approach
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Lifetime E-learning Access
Recorded Training Session Videos
Free Access to Practice Tests

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Doubt Resolution in Real-time
After Training Support

Hands on Experience

Project Based Learning
Learning based on real-life examples
Assignments and Practice Tests

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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.

For char data types, the limit is 8000; for varchar, 4000; and for MAX data types, 2 GB. The same formula used for SQL Server with page compression is used to get the number of bytes per row. Row-overflow storage is provided, allowing variable length columns to be shifted off-row, just like SQL Server.

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.