All in 6 Hours - Practical Based Learning into Google Vertex AI, Code with Gemini, AutoML, Custom Training, AI Agents
Sub Category
- IT Certifications
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Objectives
- Learn Everything you need to know about Vertex AI with Practical Example
- Design, build, and deploy AI Agents using Google ADK and Agent Engine
- Understand Google’s AI model ecosystem (Gemini, Imagen, Veo, and more)
- Use Vertex AI Model Garden and Vertex AI Studio effectively
- Authenticate and access Google Models using API keys, service accounts, and ADC
- Learn How to access a Gemini Model from Python Code
- Work with Vertex AI notebooks, Colab Enterprise, and Jupyterlab Workbench
- Understand Vertex AI training options including AutoML and custom training
- Build, deploy, and test ML models on Vertex AI
- Create embeddings and vector indexes for semantic search
- Implement RAG pipelines using RAG Engine and Vertex AI Search
- Run agents locally and deploy them on Google Cloud
Pre Requisites
- Very Basic of Python
- GCP Basics
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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