Get ready to renew your Professional Cloud Architect certification with the Professional Cloud Architect Renewal Exam professional certificate, developed by Google Cloud and delivered on edX.
This program is available to certified individuals who want to renew their active Professional Cloud Architect certification and are within their renewal eligibility period (60 days prior to or 30 days after the certification expiration date).
The program is delivered through four hands-on courses:
- Introduction to Generative AI
- Introduction to Large Language Models
- Google Cloud Big Data and Machine Learning Fundamentals
- Serverless Data Processing with Dataflow: Foundations
Understand generative AI and Gen AI apps. Refresh your knowledge on the fundamentals of generative AI, how it is used, and how it differs from traditional machine learning methods, and explore the Google tools you can use to develop Gen AI apps.
Revisit large language models (LLM). Examine LLM, the use cases where they can be applied, and how you can use prompt tuning to enhance LLM performance.
Deploy cutting-edge retail and ecommerce solutions on Google Cloud. Learn about the various services Google Cloud offers for modernizing retail applications and infrastructure, while acquiring skills to deploy contemporary retail and ecommerce solutions.
Support the data-to-AI life cycle. Discover the Google Cloud big data and machine learning (ML) products and services that support the data-to-AI lifecycle, and explore the processes, challenges, and benefits of building a big data pipeline and ML models with Vertex AI on Google Cloud.
Refresh your knowledge on production-ready Dataflow solutions. Revisit Apache Beam and its relationship with Dataflow, explore the benefits of the Beam Portability framework, and learn how to implement the right security model for cost-effective Dataflow pipelines.
Streamline MLOps for generative AI projects. Explore the unique challenges of deploying and managing generative AI models, and explore how Vertex AI empowers AI teams to streamline MLOps processes and achieve success in generative AI projects.
Uncover model evaluation for generative and predictive AI. Go over the essential tools, techniques, and best practices for evaluating both generative and predictive AI models. Gain a deeper understanding of evaluation metrics and how to leverage Google Cloud's Vertex AI to implement evaluation processes for model selection, optimization, and continuous monitoring.
Once you've completed all seven courses, check out the Professional Cloud Architect Renewal Exam Guideto finalize your Professional Cloud Architect certification exam preparation.
