📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of GCP for AI Services, from foundations to a certified capstone project.
Platform
• Projects, IAM and organisation policy structure
• VPC design, private access and data locality
• Billing controls and committed-use planning for accelerator workloads
Data
• BigQuery for large-scale analytical queries and cost-aware SQL
• BigQuery ML for models trained where the data already lives
• Dataflow and Pub/Sub for streaming feature pipelines
Vertex AI
• Vertex AI training, pipelines and experiment tracking
• Feature Store and Model Registry in a production workflow
• Endpoint deployment, autoscaling and traffic splitting
Generative
• Model Garden, Gemini models and grounding with enterprise data
• Vector search for retrieval-augmented applications
• Prompt management, evaluation and safety configuration
Operations
• Continuous training and model monitoring for skew and drift
• Artifact lineage and reproducibility across environments
• Access control, audit logging and regulatory evidence
Earn government-registered certification in GCP for AI Services
e-Certificate and e-Marksheet issued on successful completion.
