Master advanced cloud ai services concepts with expert-level content and cutting-edge techniques.
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Depends on ML workload complexity
Expert in cloud-native development and DevOps
Follow these courses in order to complete the learning path. Click on any course to enroll.
Learn Transformers, explained: Understand the model behind GPT, BERT, and T5
State-of-the-Art Machine Learning Papers Implementation
Complete natural language processing specialization covering transformers, attention mechanisms, and modern NLP techniques.
This course explores Vertex AI as a platform for enterprise-ready generative AI. Participants will learn to create search engines and chat applications using Vertex AI Search and Vertex AI Agents. The curriculum also covers integrating the Vertex AI Agent Builder into applications and productionizing the created search engines and chat applications, including managing changing data, security features, monitoring, and troubleshooting.
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See the side-by-side breakdown and our pick by scenario
See the side-by-side breakdown and our pick by scenario
Master advanced cloud ai services concepts with expert-level content and cutting-edge techniques.
You'll work through Master cutting-edge techniques and research; Handle complex, production-scale systems; Contribute to open source and research; Deploy ML models on cloud platforms; Use managed ML services effectively; Design scalable ML architectures.
About 50 hours of study across 4 courses — and you can go at your own pace.
It's pitched at advanced level, so a little prior familiarity helps.
4 curated courses, sequenced from foundational to advanced.
The courses in this path can be started for free.
Enroll in this path to track your progress and stay motivated.