Introducing the AWS Certified AI Practitioner and AWS Certified Machine Learning Engineer – Associate

Become AI Certified as an AWS Cloud Practitioner or ML Engineer.

AWS has some exciting new certifications coming available as a beta exams. These certifications allow both professionals new to AI or even experienced in AI/ML to become certified with AWS, which is the leader in cloud computing certifications.

Whether you’re an AWS now, or you’re a cloud developer or just new to AWS these certifications are a great way to help expand your career horizons.

AWS has expanded its certification program with two new certifications designed to validate skills in artificial intelligence (AI) and machine learning (ML). These certifications, the AWS Certified AI Practitioner and the AWS Certified Machine Learning Engineer – Associate, offer a comprehensive pathway for professionals looking to advance their careers in the AI and ML fields.

AWS Certified AI Practitioner

Foundation for AI Success

The AWS Certified AI Practitioner certification is ideal for individuals seeking a strong foundation in AI concepts and their applications on AWS. This entry-level certification covers fundamental topics such as:

• AI and ML Basics: Understanding core AI concepts and their real-world applications.
• Data Preparation and Analysis: Techniques for preparing data for machine learning models.
• Model Training and Deployment: Best practices for training and deploying AI models using AWS services.
• AWS AI Services: Knowledge of AI services like Amazon Rekognition, Amazon Comprehend, and Amazon Lex.

Beta Exam Details:

• Registration Opens: August 13, 2024
• Format: 85 questions in 170 minutes
• Languages: English and Japanese
• Fee: $75

AWS Certified Machine Learning Engineer – Associate

Mastering ML on AWS

The AWS Certified Machine Learning Engineer – Associate certification is designed for professionals with at least one year of hands-on experience in ML engineering on AWS. This certification validates expertise in:

• Data Preparation: Techniques for preparing and processing data for ML models.
• Feature Engineering: Creating features to improve model performance.
• Model Training: Best practices for training ML models.
• Model Evaluation: Assessing model accuracy and effectiveness.
• Model Deployment: Deploying models into production environments.
• Optimization and Security: Strategies for optimizing performance, cost, and security of ML workloads.

Beta Exam Details:

• Registration Opens: August 13, 2024
• Format: 85 questions in 170 minutes
• Languages: English and Japanese
• Fee: $75

Key Differences:

While both certifications validate AI and ML skills, the AWS Certified AI Practitioner is a foundational certification, while the AWS Certified Machine Learning Engineer – Associate focuses on practical ML engineering skills. The Associate certification is ideal for professionals looking to implement and manage ML workloads on AWS, while the Practitioner is suitable for those building a general understanding of AI concepts.

A Path to AI and ML Mastery

The AWS Certified AI Practitioner and AWS Certified Machine Learning Engineer – Associate certifications offer a clear path for professionals to validate their skills and advance their careers in AI and ML. Whether you’re starting your journey or looking to deepen your expertise, these certifications provide a valuable credential.