Learn How to Apply Google Cloud Vertex AI Machine Learning Products for your own ML Application Training & Prediction
InstructorAnkit Mistry : 200,000+ StudentsThe curriculum includes specific modules for text generation with Gemini, prompt engineering, embeddings, and multimodal processing involving images and video.
Instruction covers the full lifecycle from dataset creation and AutoML to custom training with containers and Vertex AI Pipeline construction.
FreeLearners have reported encountering deprecated APIs and code that requires manual updates to function in current environments. This signal predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.
The Vertex AI Studio user interface has changed significantly compared to the visual demonstrations provided in the lessons. This signal predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.
Some signals suggest a lack of deep conceptual context during code execution and difficulty following lessons due to missing centralized code resources. This signal predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.
The curriculum aligns with the stated goals of learning Vertex AI and GCP infrastructure for machine learning applications.
