Wilhelm Chan
Member since 2025
Build a Smart Cloud Application with Vibe Coding and MCP
Earned Haz 14, 2026 EDT
Develop Gen AI Apps with Gemini and Streamlit
Earned Haz 14, 2026 EDT
Create Generative AI Apps on Google Cloud
Earned Haz 14, 2026 EDT
Machine Learning Operations (MLOps) with Agent Platform: Model Evaluation
Earned Haz 13, 2026 EDT
Üretken Yapay Zeka İçin Makine Öğrenimi Operasyonları (MLOps)
Earned Haz 12, 2026 EDT
Agent Platform'da İstem Tasarımı
Earned Haz 7, 2026 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned Haz 6, 2026 EDT
Büyük Dil Modellerine Giriş
Earned May 9, 2026 EDT
Üretken Yapay Zekaya Giriş
Earned May 9, 2026 EDT
Deutsche Bank: Prompt Engineering Fundamentals
Earned Ara 8, 2025 EST
Earn a skill badge by completing the Build a Smart Cloud Application with Vibe Coding and MCP course, where you will learn to leverage the power of Google's AI coding assistant and MCP servers. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Complete the intermediate Develop Gen AI Apps with Gemini and Streamlit skill badge course to demonstrate skills in text generation, applying function calls with the Python SDK and Gemini API, and deploying a Streamlit application with Cloud Run. In this course, you learn Gemini prompting, test Streamlit apps in Cloud Shell, and deploy them as Docker containers in Cloud Run. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Generative AI applications can create new user experiences that were nearly impossible before the invention of large language models (LLMs). As an application developer, how can you use generative AI to build engaging, powerful apps on Google Cloud?
In this course, you'll learn about generative AI applications and how you can use prompt design and retrieval augmented generation (RAG) to build powerful applications using LLMs. You'll learn about a production-ready architecture that can be used for generative AI applications and you'll build an LLM and RAG-based chat application. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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This course equips machine learning practitioners with the essential tools, techniques, and best practices for evaluating both generative and predictive AI models. Model evaluation is a critical discipline for ensuring that ML systems deliver reliable, accurate, and high-performing results in production.
Participants will gain a deep understanding of various evaluation metrics, methodologies, and their appropriate application across different model types and tasks. The course will emphasize the unique challenges posed by generative AI models and provide strategies for tackling them effectively. By leveraging Google Cloud's Agent Platform, participants will learn how to implement robust evaluation processes for model selection, optimization, and continuous monitoring.
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Bu kurs, MLOps ekiplerinin üretken yapay zeka modellerini dağıtırken ve yönetirken karşılaştığı zorlukların üstesinden gelmek için gereken bilgi ve araçları sağlamaktadır. Ayrıca yapay zeka ekiplerinin, MLOps süreçlerini kolaylaştırıp üretken yapay zeka projelerinde başarıya ulaşması için Vertex AI'ın nasıl yardımcı olduğunu öğrenmenizi amaçlamaktadır.
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Agent Platform'da istem mühendisliği, görüntü analizi ve çok modlu üretken teknikler gibi becerileri göstermek için Agent Platform'da İstem Tasarımı beceri rozetini tamamlayın. Etkili istemlerin nasıl oluşturulacağını, üretken yapay zeka çıktılarına nasıl rehberlik edileceğini ve Gemini modellerinin gerçek dünyadaki pazarlama senaryolarına nasıl uygulanacağını keşfedin.
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This course introduces Google Cloud's AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AI projects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive exercises.
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Giriş seviyesindeki bu mikro öğrenme kursunda; büyük dil modellerinin (LLM) ne olduğu, hangi kullanım alanlarında kullanılabilecekleri ve istem ayarlama ile LLM performansını nasıl artırabileceğiniz ele alınmaktadır. Ayrıca kendi üretken yapay zeka uygulamalarınızı geliştirebileceğiniz Google araçları da yer almaktadır.
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Bu giriş seviyesi mikro öğrenme kursu, üretken yapay zekanın ne olduğunu, nasıl kullanıldığını ve geleneksel makine öğrenimi yöntemlerinden farkını açıklamayı amaçlamaktadır. Ayrıca kendi üretken yapay zeka uygulamalarınızı geliştirebileceğiniz Google araçları da ele alınmaktadır.
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Master your Gen AI skills through hands-on labs!
Embark on a dynamic learning experience with Prompt Engineering Fundamentals, where you'll learn the art of designing effective prompts that harness the full power of Generative AI. Dive into the essentials of crafting clear and compelling prompts while exploring advanced techniques such as few-shot and Free-form prompting. Through hands-on labs, you'll apply your newfound skills to creatively analyze images, design prompts, and generate conversations directly on the Google Cloud console.
Upon completion, you'll earn a digital badge showcasing your newly acquired skills, perfect for highlighting on your LinkedIn profile and email signature. Remember to click "End" after finishing each lab to claim your well-deserved points.
This course is OPTIONAL, nevertheless HIGHLY recommended.
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