AWS Two New AI Certifications: The Path to AI Excellence Got Easier

Overview

Adoptions of Generative Artificial Intelligence (GenAI) across industries enabling creativity, automation, and efficiency. With current industry trends, professionals looking for career opportunities in Artificial Intelligence and Machine Learning.

Amazon Web Services (AWS) announced two AWS certifications to help professionals prepare for certification exams and upskill in the fields of Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI). At the foundational level, AWS Certified AI Practitioner, and at the associate level, AWS Certified Machine Learning Engineer-Associate certificates help people boost their careers in AI/ML.

AWS Certified Machine Learning Engineer - Associate

This certification validates the technical ability to build, train, and deploy ML solutions to the production environment and operationalize them. This exam covers different phases of the machine learning pipeline from data preparation, feature engineering, model training, and tuning, and model evaluation, to model deployment. It also considers security, performance efficiency, and cost optimization in implementing the ML pipeline.  Strengthen your profile and credibility by clearing this certification and position yourself for machine learning job roles.

AWS Certified AI Practitioner

This certification validates the knowledge of Artificial Intelligence, Machine Learning, and Generative AI concepts and use cases. This exam covers Fundamental concepts, use cases of AI, ML, and GenAI, foundational models, model training and tuning, Prompt Engineering, model evaluation, Responsible AI, and security and Governance for AI systems.  Strengthens career growth and keeps you ready in the competitive world, by availing this certification in your profile.

Career Opportunities

A student seeking a career in AI, a business professional with well-versed AI skills, or an ML specialist deploying and operationalizing AI models, AWS’s new certifications empower everyone to showcase their innovation-ready expertise.

The advantages of AI/ML and Generative AI require broader skills beyond programming. By recognizing this requirement, many organizations, non-IT professionals; in marketing, HR, sales, finance, and many more can earn AWS Certified AI Practitioner certification and build greater confidence while identifying opportunities in AI. Even IT Professionals with limited exposure to AI/ML and Generative AI can make well-informed decisions to construct and manage AI solutions

Growing business requirements to deploy ML Solutions for real-time use cases requires expertise in building, training, deploying, and operationalizing ML solutions with optimizing cost, efficient resource utilization, and performance. AWS Certified Machine Learning Engineer- Associate certification builds skills required for building, deploying, maintaining, and monitoring AI and Generative AI solutions to achieve business objectives like faster model training and deployments, improved model performance, and serving millions of users.

Conclusion

AWS’s new AI certifications are designed to help you establish and validate your expertise, supporting your professional growth and capacity for innovation in the AI landscape