Exam 7 - AWS Certified Generative AI Developer - Professional
Test your knowledge of implementing input and output safety controls, and enforcing data security and privacy measures to protect users, data, and generative AI systems.
Whether you are starting your AI engineering journey or expanding your existing skills, MammothClub offers a practical catalog of courses, paths, and focused learning opportunities.
Test your knowledge of implementing input and output safety controls, and enforcing data security and privacy measures to protect users, data, and generative AI systems.
Test your knowledge of implementing AI governance and compliance mechanisms, and applying responsible AI principles to ensure fairness, transparency, accountability, and ethical use of generative AI systems.
Test your knowledge of implementing cost optimization and resource efficiency strategies, optimizing generative AI application performance, and deploying monitoring systems to ensure reliability, scalability, and continuous improvement.
Test your knowledge of implementing evaluation systems for generative AI and troubleshooting GenAI applications to maintain accuracy, performance, reliability, and overall system health.
In this course, you’ll learn how to connect Postgres to Supabase and use n8n to move data through complete workflows. You’ll handle incoming data with simulated webhooks, run SQL analysis on form data, and generate charts with QuickChart.
Test your knowledge on migrating to the AWS Cloud by understanding key benefits and migration strategies, and strengthen your grasp of cloud economics, including cost optimization, pricing models, and the financial impact of moving to the cloud.