AWS認定Machine Learning Engineer Associate(MLA-C01)試験対策トレーニング
Learn AWS AI & Machine Learning services. Build intelligent applications with cloud-based AI. Perfect for developers & data scientists.
Course Content
AWS認定Machine Learning Engineer Associate(MLA-C01)試験対策トレーニング is an intermediate-level Udemy course taught by Maruchin Tech. It runs 22h 34m, is taught in Japanese, and includes a certificate of completion. 3 students have enrolled. It is a paid course, first published October 2025.
Master the AWS Certified Machine Learning – Specialty (MLA-C01) Exam
This comprehensive course equips you with the essential knowledge to confidently pass the AWS Certified Machine Learning – Specialty (MLA-C01) exam. We'll focus on building, training, deploying, and managing machine learning models using Amazon SageMaker as the core.
Course Highlights:
- In-depth Service Coverage: Detailed explanations of all services covered in the exam, presented with clear slides.
- Hands-on Experience: Practical, step-by-step guidance using the real AWS console.
- Original Practice Questions: Sharpen your skills with unique practice questions designed to mirror the exam format.
Course Chapters:
Chapter 1: AWS Fundamentals & Certification Overview
- Understand the core concepts of AWS.
- Get a comprehensive overview of AWS certification pathways.
- Explore fundamental AI concepts.
Chapter 2: Building ML Pipelines (with Hands-on)
- Learn to prepare data for machine learning models.
- Master model training, deployment, and operations.
- Understand ML pipeline orchestration techniques.
- Explore the capabilities of Amazon SageMaker.
Chapter 3: Exploring AWS Services (with Hands-on)
This chapter dives deep into a wide range of AWS services relevant to machine learning:
- AI & Machine Learning Services: A detailed look at services like SageMaker, Rekognition, Lex, and Polly.
- Management & Governance: Learn about CloudWatch, CloudTrail, Config, Systems Manager, and CloudFormation for monitoring, auditing, and infrastructure management.
- Security, Identity & Compliance: Understand KMS, Secrets Manager, and Macie for securing your data and applications.
- Storage: Explore S3, S3 Glacier, EFS, EBS, and Storage Gateway for various storage needs.
- Compute: Learn about EC2, ECS, EKS, and Lambda for different compute options.
- Networking & Content Delivery: Understand VPC, CloudFront, and DirectConnect for network configuration and content delivery.
- Databases: Explore RDS, DynamoDB, ElastiCache, and Neptune for database solutions.
- Application Integration: Learn to use API Gateway, SQS, SNS, and Step Functions for application integration.
- Data Analytics: Master Lake Formation, Kinesis, Data Firehose, Apache Flink, Glue, EMR, Athena, OpenSearch Service, and QuickSight for data processing and visualization.
- Developer Tools: Explore CodeBuild, CodeDeploy, CodePipeline, CodeGuru, and CodeArtifact for CI/CD and developer productivity.
- Financial & Cost Management: Learn how to manage and optimize your AWS costs.
Chapter 4: Practice Exam Questions
Chapter 5: Course Summary
About the Instructor (Maruchin Tech):
Our instructor brings a wealth of experience, having worked as an IT consultant for manufacturing and logistics companies after a career in automotive. Currently an independent EdTech professional and Udemy instructor, they specialize in cloud computing and programming education. The instructor holds AWS Certified certifications (as of 2025).
We are dedicated to helping you succeed in your AWS Machine Learning journey. We hope this course will be a valuable resource for your learning!
Want AI in your product? Hire the team behind TutorialSearch.io
LLM features, RAG, agents and automation wired into a real product — built by the devs who shipped this site.