Vertex AI is Google Cloud’s end-to-end ML platform and it’s reshaping how companies build and ship AI at scale. Vertex AI natively integrates with BigQuery ML, Dataflow, Cloud Storage, and Google’s Generative AI models making it the most deeply embedded ML platform in the Google Cloud ecosystem. Our Vertex AI course curriculum is designed by industry experts with over 15 years of experience in AI and cloud technologies. We have successfully trained more than 600 individuals.
Who Should Enroll
- Data Scientists
- Machine Learning Engineers
- AI/ML Developers
- Cloud Engineers
- MLOps Engineers
- Software Developers integrating AI
- Data Analysts working with ML models
- IT Professionals working on Google Cloud
Prerequisites
- Any degree or basic educational qualification required
- Basic knowledge of Python and Machine Learning is recommended
- Familiarity with Google Cloud Platform (GCP) would be beneficial
What You Will Learn
- Build and deploy ML models using Vertex AI
- Prepare and manage datasets on Google Cloud
- Train custom models and use AutoML
- Evaluate and optimize model performance
- Deploy models for real-time and batch predictions
- Implement MLOps practices with Vertex AI
- Apply Vertex AI to NLP, computer vision, and recommendation systems
Job Roles After Vertex AI Training
- Machine Learning Engineer
- AI/ML Developer
- Data Scientist
- MLOps Engineer
- Cloud AI Engineer
- AI Solutions Architect
- Deep Learning Engineer
- AI Automation Specialist
- Data Engineer (AI-focused)
- AI Consultant
