AWS Machine Learning Engineer Associate Course

SKU: 3817
12 Lesson
|
30 Hours
AWS Machine Learning Engineer Associate Course (MLA-C01) is designed to help you build, deploy, automate and monitor machine learning solutions on AWS. This training focuses on data preparation, feature engineering, model development, MLOps, CI/CD pipelines, model monitoring, security, and generative AI services using Amazon SageMaker and other AWS technologies. It also prepares you for the AWS Certified Machine Learning Engineer - Associate (MLA-C01) certification exam and real-world machine learning engineering roles.

Overview

Prerequisites

  • 1+ Year of Experience in MLOps, Data Engineering, or Software Development
  • Machine Learning Fundamentals
  • Data Engineering Fundamentals
  • Software Engineering Fundamentals
  • Git Version Control
  • CI/CD Fundamentals
  • Infrastructure as Code (IaC)
  • Amazon SageMaker Fundamentals
  • Amazon S3 Fundamentals
  • Amazon EC2 Fundamentals
  • AWS Security Fundamentals

What Will You Learn

  • Data Preparation and Engineering
  • Data Ingestion and Transformation
  • Machine Learning Model Development
  • Model Training and Hyperparameter Tuning
  • Amazon SageMaker Workflows
  • Model Deployment and Inference
  • Batch and Real-Time Predictions
  • MLOps and CI/CD Pipelines
  • ML Monitoring and Model Performance Tracking
  • AWS Security for Machine Learning Workloads

Who Should Do This Course

  • Machine Learning Engineers
  • Data Scientists
  • Data Engineers
  • Software Developers
  • Cloud Engineers
  • DevOps Engineers
  • AI Engineers
  • MLOps Engineers
  • AWS Professionals
  • IT Professionals Working with Machine Learning Solutions

Tools and Technologies Covered

  • Amazon SageMaker
  • SageMaker Data Wrangler
  • SageMaker Feature Store
  • SageMaker Model Registry
  • SageMaker Model Monitor
  • AWS Glue
  • Amazon Kinesis
  • AWS CodePipeline
  • AWS CodeBuild
  • Amazon CloudWatch
  • AWS Identity and Access Management (IAM)
  • AWS Key Management Service (KMS)
  • Amazon Bedrock
  • SageMaker JumpStart

Key Features

Course Curriculum

1. Machine Learning Lifecycle
2. AWS Machine Learning Services Overview
3. MLA-C01 Exam Overview
1. Amazon S3 Data Management
2. AWS Glue Data Processing
3. SageMaker Data Wrangler
1. Feature Engineering Techniques
2. SageMaker Feature Store
3. Data Pipeline Design
1. Supervised Learning Models
2. Amazon SageMaker Training Jobs
3. Built-in Algorithms and XGBoost
1. Hyperparameter Tuning
2. Training Strategies
3. Model Evaluation Metrics
1. SageMaker Endpoints
2. Batch Inference
3. Real-Time Inference
1. MLOps Principles
2. Model Versioning
3. Automated ML Workflows
1. AWS CodePipeline
2. AWS CodeBuild
3. Deployment Automation
1. SageMaker Model Monitor
2. Amazon CloudWatch
3. Data Drift Detection
1. AWS IAM
2. AWS KMS
3. Secure Machine Learning Workloads
1. Amazon Bedrock Fundamentals
2. SageMaker JumpStart
3. Foundation Model Deployment
1. MLA-C01 Exam Domains
2. Practice Scenarios
3. Exam Readiness Assessment
Talk To Us

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1-800-7430-173 (US Toll Free)
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Course Fees

Online Class Room Program

US $ 799.00
100% Money Back Guarantee
  • Duration : 30 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 23 Jul 2026
  • Weekday Batch 27 Jul 2026
  • Weekend Batch 25 Jul 2026

1 ON 1 Training

US $ 899.00
100% Money Back Guarantee
  • Duration : 30 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 23 Jul 2026
  • Weekday Batch 27 Jul 2026
  • Weekend Batch 25 Jul 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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AWS Certified Machine Learning Engineer - Associate (MLA-C01) Certification Training

This AWS Machine Learning Engineer Associate Course is aligned with the AWS Certified Machine Learning Engineer - Associate (MLA-C01) certification exam. The training helps you develop the skills required to prepare data, build and optimize machine learning models, implement MLOps workflows, deploy models at scale, monitor model performance, and manage machine learning solutions using AWS services. Upon successful completion of the course, learners receive a Course Completion Certificate from igmGuru and are prepared to pursue the AWS Certified Machine Learning Engineer – Associate credential.

Exam Overview

  • Official Name: AWS Certified Machine Learning Engineer - Associate
  • Exam Code: MLA-C01
  • Exam Level: Associate
  • Exam Duration: 130 Minutes
  • Number of Questions: 65
  • Question Types: Multiple Choice and Multiple Response
  • Passing Score: AWS uses a scaled scoring model (pass/fail result)
  • Exam Cost: USD 150 (may vary by region and taxes)
  • Language: English, Japanese, Korean, and Simplified Chinese
  • Exam Delivery: Pearson VUE Testing Centers or Online Proctored Exam
  • Certification Validity: 3 Years
AWS Certified Machine Learning Engineer - Associate (MLA-C01) Certification Training

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