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AWS AI & Machine Learning

📋 3 exams ❓ 1013 practice questions

About this Career Path

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AWS Career Path

AWS AI & Machine Learning

Master artificial intelligence and machine learning on AWS — from AI Practitioner foundations to building and deploying production-grade generative AI applications. The fastest-growing specialization in cloud.

1,013+
Practice Questions
3
Certifications
40%
YoY AI Job Growth
$160k
Avg. US Salary

What Does an AWS AI/ML Engineer Do?

AWS AI/ML Engineers design, build, and operate intelligent systems on AWS — from traditional machine learning pipelines to cutting-edge generative AI applications. They leverage SageMaker, Bedrock, and the full suite of AWS AI services to bring models from experiment to production at scale.

"Generative AI is the single largest driver of cloud infrastructure spending. AWS AI/ML certified professionals are among the most sought-after engineers in the market today."

Core Responsibilities

  • Design and deploy ML pipelines using Amazon SageMaker
  • Build generative AI applications with Amazon Bedrock and foundation models
  • Select the right AWS AI services: Rekognition, Comprehend, Textract, Polly, Transcribe
  • Evaluate, fine-tune, and optimize large language models (LLMs) for production
  • Implement responsible AI practices: fairness, explainability, bias detection
  • Architect cost-efficient and scalable ML infrastructure on AWS

Essential Skills

  • Foundations: ML concepts, model evaluation, data preparation, feature engineering
  • AWS AI Services: Bedrock, SageMaker, Comprehend, Rekognition, Forecast
  • Generative AI: prompt engineering, RAG, agents, model customization
  • MLOps: SageMaker Pipelines, model registry, monitoring, A/B testing
  • Data: S3, Glue, Athena, Kinesis for ML data pipelines

Certification Roadmap

This path takes you from AI awareness to ML engineering to professional generative AI development on AWS.

1
Foundational Entry Point

AWS Certified AI Practitioner (AIF-C01)

Validates foundational knowledge of AI/ML concepts and AWS AI services. Ideal for anyone entering the AI field or moving from cloud to AI roles.

  • 85 questions — 120 minutes | Passing score: 700 / 1000
  • Covers: ML fundamentals, Bedrock, SageMaker basics, responsible AI, AWS AI services
2
Associate

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

Validates engineering skills for building, deploying, and maintaining ML solutions. Covers SageMaker, data processing, model evaluation, and MLOps at production scale.

  • 65 questions — 130 minutes | Passing score: 720 / 1000
  • Covers: SageMaker pipelines, model deployment, inference optimization, monitoring
3
Professional Goal

AWS Certified Generative AI Developer – Professional (AIP-C01)

The pinnacle of AWS AI certification. Validates expertise in designing, building, and deploying enterprise generative AI applications using Amazon Bedrock and the AWS ecosystem.

  • Covers: Bedrock agents, RAG architectures, LLM evaluation, model customization, responsible AI
  • Recommended: AIF-C01 + practical GenAI development experience

How CertLand Prepares You

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1,013+ Questions Covering AIF-C01, MLA-C01, and AIP-C01 in full depth.
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Real AI Scenarios Practice with prompt engineering, RAG design, and SageMaker pipelines.
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Detailed Explanations Understand AI service trade-offs and when to use Bedrock vs SageMaker.
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Domain Filtering Study by topic: GenAI, MLOps, responsible AI, data preparation.

Salary & Market Demand

Role Certification Avg. US Salary
AI/ML Engineer AIF-C01 + MLA-C01 $130,000 – $160,000
GenAI Developer AIP-C01 $150,000 – $180,000
AI Solutions Architect AIP-C01 + experience $175,000 – $220,000

Ready to Build AI on AWS?

Start with AIF-C01 to build your AI foundations, then advance to MLA-C01 and AIP-C01. 1,013+ practice questions included.

Exams in this Path

1

AWS Certified AI Practitioner (AIF-C01) - 333 Questions

Prepare for the AWS Certified AI Practitioner (AIF-C01) exam with 333 practice questions covering all 5 official domains. This question bank validates your understanding of …

333 questions Medium 70.00% to pass
2

AWS Certified Machine Learning Engineer Associate (MLA-C01) - 340 Questions

Practice exam for the AWS Certified Machine Learning Engineer Associate (MLA-C01). Covers data preparation, ML model development, deployment and orchestration of ML workflows, and ML …

340 questions Medium 72.00% to pass
3

AWS Certified Generative AI Developer - Professional (AIP-C01) - 340 Questions

Practice exam for the AWS Certified Generative AI Developer - Professional (AIP-C01). Covers foundation model integration, implementation and integration, AI safety and governance, operational efficiency, …

340 questions Hard 75.00% to pass