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Amazon SageMaker Certification Training

Unlock the power of machine learning with Amazon SageMaker training by Multisoft Virtual Academy. Dive deep into AWS's comprehensive ML services, gain hands-on experience, and become proficient in deploying scalable ML models. Elevate your career in AI with our expert-led sessions.

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Instructor-led Training Live Online Classes

Suitable batches for you

20 Jul 2024 24 06:00 PM - 09:00 PM Sat, Sun
27 Jul 2024 24 06:00 PM - 09:00 PM Sat, Sun
03 Aug 2024 24 06:00 PM - 09:00 PM Sat, Sun
10 Aug 2024 24 06:00 PM - 09:00 PM Sat, Sun

Course Price At

$ 500

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Instructor-led Training Live Online Classes

20 Jul 2024 24 06:00 PM - 09:00 PM Sat, Sun
27 Jul 2024 24 06:00 PM - 09:00 PM Sat, Sun
03 Aug 2024 24 06:00 PM - 09:00 PM Sat, Sun
10 Aug 2024 24 06:00 PM - 09:00 PM Sat, Sun

Course Price At

$ 500

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

$ 500

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Instructor-Led Online Training Parameters

Course Highlights

  • Duration: 24 Hrs.
  • Subject Matter Expert
  • After Training Support
  • Lifetime E-Learning Access
  • Recorded Sessions
  • Free Online Assessments
Amazon SageMaker Training Course Syllabus

Curriculum Designed by Experts

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Amazon SageMaker training offered by Multisoft Virtual Academy is designed to empower individuals with the knowledge and skills required to leverage AWS's powerful machine learning services. This comprehensive course covers the entire machine learning workflow, from data preparation and model building to training, tuning, and deployment. Participants will learn how to use Amazon SageMaker to simplify the process of building, training, and deploying machine learning models at scale. The training combines theoretical concepts with practical exercises, providing hands-on experience with real-world scenarios. 


Whether you're a beginner in the field of machine learning or looking to enhance your existing skills, this course will guide you through the latest tools and techniques in the industry. By the end of the training, learners will be proficient in using Amazon SageMaker, making them valuable assets in the rapidly evolving field of artificial intelligence and machine learning.

  • Types of ML
  • Job Roles in ML
  • Steps in the ML pipeline
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  • Training and test dataset defined
  • Introduction to SageMaker
  • Demonstrate the SageMaker console
  • Demonstrate the Launching a Jupyter notebook
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  • Business challenge: Customer churn
  • Review customer churn dataset
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  • Demonstration: Loading and visualizing your dataset
  • Relate features to target variables
  • Relationships between attributes
  • Demonstrate how to clean the data
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  • Types of algorithms
  • XGBoost and SageMaker
  • Demonstrate how to train the data
  • Finish the estimator definition
  • Set hyper parameters
  • Deploy the model
  • Demonstrate the hyper parameter tuning with SageMaker
  • Demonstrate the evaluating model performance
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  • Automatic hyper parameter tuning with SageMaker
  • Exercises 6-9: Tune jobs
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  • Deploy a model to an endpoint
  • A/B deployment for testing
  • Auto Scaling
  • Demonstrate how to configure and test auto scaling
  • Demonstrate how to check hyper parameter tuning job
  • Demonstrate the AWS Auto Scaling
  • Set up AWS Auto Scaling
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  • Cost of various error types
  • Binary classification cutoff
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  • Access Amazon SageMaker notebooks in a VPC
  • Amazon SageMaker batch transforms
  • Amazon SageMaker Ground Truth
  • Amazon SageMaker Neo
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Amazon SageMaker Training Description

  • Learn the fundamentals and advanced features of Amazon SageMaker, including how to build, train, and deploy machine learning models efficiently.
  • Acquire practical skills through hands-on labs and projects that simulate real-world AI challenges, enabling you to apply what you've learned immediately.
  • Understand how to seamlessly deploy your machine learning models and manage them in a production environment using Amazon SageMaker's capabilities.
  • Absorb best practices for machine learning workflows, including data preparation, model tuning, and optimization, to ensure your projects are both efficient and scalable.
  • Develop skills that are in high demand in the tech industry, making you a competitive candidate for roles requiring expertise in machine learning and AI.

  • Data Scientists
  • Machine Learning Engineers
  • Developers interested in ML and AI
  • IT Professionals looking to specialize in AI/ML
  • Product Managers wanting to leverage AI/ML in products
  • Cloud Computing Specialists focusing on AWS services

  • Basic understanding of machine learning concepts and algorithms
  • Familiarity with Python programming language
  • Knowledge of data science and analytics fundamentals
  • Basic experience with AWS (Amazon Web Services) or cloud computing concepts

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.

Amazon SageMaker Corporate Training Certification

Interactive Virtual Training

Interactive Virtual Training

  • Global Subject Matter Experts
  • Step-by –Step Learning Approach
  • Instant Doubt Clearing
Lifetime Access

Lifetime Access

  • Lifetime E-learning Access
  • Recorded Training Session Videos
  • Free Access to Practice Tests
24x7 Assistance

24x7 Assistance

  • Help Desk Support
  • Doubt Resolution in Real-time
  • After Training Support
Hands on Experience

Hands on Experience

  • Project Based Learning
  • Learning based on real-life examples
  • Assignments and Practice Tests
Globally Recognized Training Certificate

Globally Recognized Certificate

  • Multisoft Training Certificate
  • Globally Recognized and Accepted
  • Lifetime Validity

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Amazon SageMaker Training FAQ's

Multisoft offers both online and in-person training options. Check their latest offerings for the most suitable format for you.

Yes, participants who successfully complete the training will receive a certificate of completion from Multisoft Virtual Academy.

Absolutely. This training covers crucial aspects of Amazon SageMaker that are relevant for various AWS certifications, especially those focusing on machine learning and AI.

You will work on hands-on labs and real-world projects that simulate challenges in AI and ML, allowing you to apply what you've learned in practical scenarios.

To contact Multisoft Virtual Academy you can mail us on enquiry@multisoftvirtualacademy.com or can call for course enquiry on this number  +91 8130666206

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