Amazon SageMaker Course Online

SKU: 1018
8 Lesson
|
16 Hours
This AWS SageMaker course by igmGuru is curated and taught by industry professionals. The aim is to help aspirants in learning the top skills needed to build, deploy and train Machine Learning (ML) models in Amazon SageMaker. Our SageMaker training also covers knowledge of creating REST APIs for integrating them into the app to solve real-world problems. Discover more about managing scalability and security in this Amazon service for a great future ahead.

SageMaker Training Overview

Amazon SageMaker refers to a completely-managed service. It helps data scientists as well as developers in easily and quickly building, training, and deploying ML models. Our course has been designed to cover a complete overview of this service and take a closer look at its three main components. These components are related to training, hosting and notebooks.

The Amazon SageMaker course is crafted by keeping data scientists and other such professionals in mind. It equips learners with an overall understanding and knowledge of this Studio, an ML integrated development environment. Learners can also explore the navigation, functionalities and setup of this Studio. Dive in to learn data processing techniques for ML-readiness & bias detection.

Overview of AWS SageMaker Course

The AWS SageMaker online course includes model development. This encompasses tuning, debugging and evaluation with this Studio. Inference and Deployment modules are behind teaching more about effectively managing models and automating ML workflows. We offer monitoring lessons that focus mainly on detecting drifts and maintaining model quality. Insights are provided on Resource updates and management for efficient operation.

Our Amazon SageMaker training first introduces aspirants to the plethora of opportunities that tag along the fast growing technology - artificial intelligence. We then move on to learn about the job responsibilities fulfilled by a data scientist. Training, validation and testing of the data model are implemented perfectly in their infrastructure or system. Get to know the distinct features of this tool like large data processing, end-to-end ML algorithm and much more. All these procedures can be implemented to know better about this exceptional service.

What Will You Learn in SageMaker Training

  • Basics of machine learning using Amazon SageMaker
  • Creating and using SageMaker notebooks
  • Data preparation for machine learning
  • Training models using built-in algorithms
  • Using TensorFlow, PyTorch, and XGBoost
  • Hyperparameter tuning
  • Deploying models for inference
  • Monitoring and managing deployed models

SageMaker Course Objectives

  • Aspirants gain familiarity with top and most popular ML frameworks. These include TensorFlow, Apache MXNet & Apache Spark.
  • Learn to run a training job, create a model with this service & hyperparameter tuning job.
  • Gain in-depth knowledge & understanding of reinforcement learning through Amazon SageMaker RL.
  • Learn about protecting data in transit & at rest using encryption in this service.
  • Understand the uses of Jupyter notebooks as well as the role they play in interactive & collaborative ML development.
  • Acquire practical skills & best practices knowledge around deploying ML models.

Target Audience for Amazon SageMaker Training?

This course by igmGuru has been designed solely for individuals who want to gain a better understanding of machine learning technology. These are those who’re keen on deploying the same for real-world applications. Many professionals benefit from our course and can opt for it to advance their career. It’s also a great way to prepare for the related SageMaker certification exam.

  • Data Scientists
  • Data Engineers
  • Machine Learning Engineers
  • Data Analysts
  • Financial Analysts
  • Cloud Architects
  • Technical Managers

Prerequisites for AWS SageMaker Online Course

Our course has been designed meticulously for AWS beginners. Even though there are no fixed prerequisites, a basic cloud computing understanding can be helpful.

Key Features

SageMaker Training Modules

1. What is Amazon SageMaker?
2. Machine Learning with Amazon SageMaker
3. Explore and Preprocess Data
4. Model Training and Deployment
1. Create an IAM Administrator User and Group
1. Create an Amazon S3 Bucket
2. Create an Amazon SageMaker Notebook Instance
3. Create a Jupyter Notebook
4. Download, Explore, and Transform Data
5. Train, Deploy, and Validate Model
6. Clean Up
1. Create and Access Notebook Instances
2. Use Example Notebooks
3. Notebook Instance Software Updates
4. Setting the Notebook Kernel
5. Installing External Libraries and Kernels in Notebook Instances
6. Creating Git Repositories with Amazon SageMaker Notebook Instances
7. Monitoring Jupyter Logs in Amazon CloudWatch Logs
1. Built-in Algorithms
2. Incremental Training
3. Managed Spot Training
4. Using Checkpoints
5. Automatic Model Tuning
6. Augmented Manifest Files
7. Amazon SageMaker Neo
1. Basics of Docker Containers
2. Amazon SageMaker Containers
3. Use Prebuilt SageMaker Docker Images
4. Creating Training Job with ECR
1. Markov Decision Process (MDP)
2. Sample RL Workflow Using Amazon SageMaker RL
3. RL Environments in Amazon SageMaker
4. Distributed Training
5. Hyperparameter Tuning
1. Data Protection
2. Identity and Access Management
3. Logging and Monitoring
4. Compliance Validation
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SageMaker Course Fees

Online Class Room Program

€ 370.00
100% Money Back Guarantee
  • Duration : 12 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 25 Jun 2026
  • Weekday Batch 29 Jun 2026
  • Weekend Batch 27 Jun 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support

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Want to know Today's Offer

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SageMaker Certification Exam

AWS Certified Machine Learning Engineer - Associate (MLA-C01)

Exam Details

  • Number of Questions: 65
  • Duration: 130 minutes
  • Format: Multiple-choice & multiple-response
  • Cost: $150 USD
  • Passing Score: 720 (scale of 100-1000)
  • Level: Associate
  • Focus Areas: Data preparation, model development, deployment, monitoring & security (with strong emphasis on Amazon SageMaker)

After completing this training, you will be well-prepared to pass the exam and igmGuru provides a course completion certification.

SageMaker Certification Exam

SageMaker Online Training FAQ's

It offers all the right tools needed to build, train and then deploy ML models. These models play an important role in predictive analytics applications.

Anyone can try this tool for free for a month. More details can be found on AWS’ official page.

Yes! It’s a cloud-based ML platform. Developers use it for creating, training and deploying ML models on the cloud, edge devices and embedded systems.

Yes! igmGuru offers online training to learn more about this AWS aspect. It also helps in understanding ML better and advancing one’s career in that domain.

GCP (Google Cloud Provider) also offers an ‘AI Platform’ that’s considered an equivalent of this one by AWS. AI Platform is an amazing and all-rounder platform that presents many services and tools for similar purposes.

Learning to use this service is an overnight achievement. It takes a deep understanding and lots of practice to use it for building ML models and prepping them for training. Our course will make it easy to gain an in-depth understanding as it’s taught by seasoned industry professionals with an updated curriculum.

The AWS Certified Machine Learning (Specialty) certification is the one to go for showcasing skills in using SageMaker.

Yes. It’s globally used by data scientists. The main reason is the set of tools it offers for preparing as well as labeling data.

Yes, igmGuru offers several other online courses under Cloud Computing. These include specialized online courses, tailored to different skill levels. igmGuru greatly emphasizes upskilling and boosting career opportunities across IT industry sectors, with each online course designed to help learners enhance their expertise in Cloud Computing. Below are the Courses:

Yes, igmGuru offers several other online certification courses. These include specialized online certification courses, tailored to different levels. igmGuru, greatly emphasizes upskilling and boosting career opportunities across any industry sectors, with each online certification course designed to help learners enhance their expertise.

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