Amazon AWS AI
The AWS AI certification path starts with the foundational AWS Certified AI Practitioner and progresses to more advanced, role-based certifications like the AWS Certified Machine Learning Engineer – Associate. To prepare, begin with foundational knowledge, gain hands-on experience using the AWS Free Tier, and utilize resources like the AWS Skill Builder to access exam guides, practice questions, and targeted learning plans.
All Courses Idea
Foundational path (for beginners)
AWS Certified AI Practitioner: This is the recommended starting point for those with little to no AI/ML experience.
- What it covers: Fundamentals of AI and machine learning, generative AI, foundation models, and responsible AI guidelines.
- Preparation: Utilize the AWS Skill Builder's exam prep plan, which includes courses on AI/ML fundamentals, prompt engineering, and use cases.
- Prerequisites: Foundational technical skills are expected, such as basic programming, scripting, and cloud concepts.
Advanced path (for experienced professionals)
AWS Certified Machine Learning Engineer – Associate: Designed for those with at least one year of experience operating AI/ML workloads in the cloud.
- What it covers: The end-to-end ML lifecycle, including data preparation, model training, and monitoring.
- Preparation: Follow the comprehensive exam preparation plan on AWS Skill Builder, focusing on courses that cover data transformation, feature engineering, and bias mitigation.
Recommended AWS knowledge
The target candidate should have the following AWS knowledge
- Familiarity with the core AWS services (for example, Amazon EC2, Amazon S3, AWS Lambda, and Amazon SageMaker) and AWS core services use cases
- Familiarity with the AWS shared responsibility model for security and compliance in the AWS Cloud
- Familiarity with AWS Identity and Access Management (IAM) for securing and controlling access to AWS resources
- Familiarity with the AWS global infrastructure, including the concepts of AWS Regions, Availability Zones, and edge locations
- Familiarity with AWS service pricing models










