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Data Science & AI 🌐 Google Cloud · Vertex AI · Gemini ✔ 3 Levels Available

Google Cloud AI
Full Programme

A comprehensive hands-on curriculum engineered for cloud AI practitioners and machine learning engineers. Master Google Vertex AI Studio, Gemini 1.5 multimodal foundation models, Document AI, AutoML and custom training pipelines, high-throughput ScaNN Vector Search, Vertex AI Agent Builder, and production MLOps aligned with Google Professional Machine Learning Engineer (PMLE) standards.

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Format
Theory + Lab/Assignments
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Certificate
Arich Certified
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Course Code
GCP-AI
Click a Level to View its Syllabus
L1
GCP-AI-FND · Associate
6 Modules · Vertex AI, Gemini & AutoML
›
L2
GCP-AI-PRO · Professional
4 Modules · ScaNN Search & Agents
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L3
GCP-AI-PMLE · Specialist
4 Modules · Tuning, Kubeflow & MLOps
›
📄 GCP AI — Associate Level (GCP-AI-FND)
L1
GCP-AI-FND
GCP AI & Data Foundations (GenAI Leader Aligned)
01
Vertex AI & Gemini Fundamentals
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1.1 Core Vertex AI & Multimodal GenAI Foundations
Vertex AI Studio: Model Garden, Foundation Models (Gemini 1.5 Pro, Gemini 1.5 Flash, Imagen 3, Codey)
Prompt Design & Few-Shot Prompting in Vertex AI Studio
Multimodal Prompting: Ingestion of High-Resolution Images, Audio Streams & Long-Form Video
System Instructions, Grounding, Temperature Parameters & Safety Threshold Settings
Hands-on Lab: Deploy Gemini 1.5 Pro with System Instructions, Safety Settings, and Multimodal Video Ingestion
02
GCP Vision, Natural Language & Speech APIs
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2.1 Pre-trained Specialized Cloud AI Services Architecture
Cloud Vision API: Label Detection, OCR, Face Detection, SafeSearch & Landmark Recognition
Cloud Natural Language API: Entity Extraction, Sentiment Analysis & Content Classification
Cloud Speech-to-Text & Text-to-Speech: Multi-speaker Diarization & Neural Chirp Voices
Document AI: Form Parser, Invoice Parser & Specialized Document Processors
Cloud Translation API: Neural Machine Translation & Glossary Support
Hands-on Lab: Build Automated Contract Analysis Workflow using Document AI, Natural Language API & Cloud Run
03
Vertex AI AutoML & Custom Training
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3.1 Classical ML & Managed Data Pipelines Architecture
Vertex AI Managed Datasets: Tabular, Image, Text & Video Annotation
AutoML Tabular: Feature Engineering, Cross-Validation & Model Ensembling
Vertex AI Feature Store: Centralized Feature Management & Real-Time Serving
Custom Model Training: Custom Containers, Pre-built Containers & GPU/TPU Acceleration
Hyperparameter Tuning (Vizier Service) & Model Evaluation Metrics
Hands-on Lab: Train and Deploy Custom Prediction Model using Vertex AI AutoML and Feature Store
04
Vertex AI Search & Vector Search
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4.1 Enterprise Knowledge Retrieval & RAG Architecture
Vertex AI Search & Conversation: Data Stores (BigQuery, GCS, Websites), Auto-Chunking & Indexing
Vertex AI Vector Search: Ultra-High-Scale Nearest Neighbor Search with Google ScaNN Algorithm
Text & Multimodal Embeddings: Gecko Text Embeddings & Multimodal Embedding APIs
Grounding Gemini with Google Search & Enterprise BigQuery Datasets
Hands-on Lab: Build Enterprise RAG Solution grounded on Custom BigQuery & GCS Data with Vertex AI Search
05
Vertex AI Agent Builder & Reasoning Engine
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5.1 Autonomous Cloud Agent & Multi-Tool Orchestration Architecture
Vertex AI Agent Builder: Natural Language Instructions, Playbooks & Routing
Gemini Native Function Calling & OpenAPI Tool Integration with Cloud Functions
Vertex AI Reasoning Engine: Managed LangChain & LlamaIndex Runtime Environment
Multi-Turn Session State Persistence, Chat Memory & Fallback Handlers
Hands-on Lab: Build an Autonomous Customer Onboarding Agent using Vertex AI Agent Builder with BigQuery & Cloud Functions
06
Enterprise GenAI Governance, Model Tuning & MLOps
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6.1 Production MLOps, Security & Model Alignment
Supervised Fine-Tuning (SFT) & LoRA Adapter Tuning on Gemini Models
Vertex AI Model Registry: Versioning, Model Cards & Deployment Approval Gates
Vertex AI Model Monitoring: Real-time Feature Skew, Prediction Drift & Outlier Detection
Security & Zero-Trust: VPC Service Controls, Customer-Managed Encryption Keys (CMEK) & IAM AI Roles
Capstone Project: Deploy Parameter-Tuned Gemini Model with Vertex AI Model Monitoring, Endpoint Autoscaling, and VPC Security Controls
📄 GCP AI — Professional Level (GCP-AI-PRO)
L2
GCP-AI-PRO
ScaNN Vector Search, Vertex Agent Builder & Pipelines
01
High-Scale Vector Search with ScaNN & BigQuery Vector Search
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ScaNN (Score-aware Anisotropic Vector Quantization) Architecture & Index Sharding
BigQuery Vector Search: VECTOR_SEARCH functions with IVF & Tree-AH indexing
Hybrid Search: Combining BigQuery Full-Text Search with Dense Vector Embeddings
Dynamic Metadata Filtering, Re-ranking with Vertex Ranking API & Context Compression
Hands-on Lab: Deploy High-Performance Distributed Vector Search Index Serving Sub-10ms Queries on Vertex AI
02
Vertex AI Pipelines & Kubeflow Orchestration
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Vertex AI Pipelines: Kubeflow Pipelines (KFP) SDK & TFX Component Authoring
Vertex AI Metadata: Tracking Artifact Lineage, Datasets, Executions & Models
Automated CI/CD Workflows for ML with Cloud Build & Artifact Registry
Scheduled Training Runs, Event-Driven Ingestion via Cloud Pub/Sub & Cloud Functions
Hands-on Lab: Build an Automated Production Training Pipeline with Data Validation, Training, Evaluation & Conditional Deployment
03
Multi-Agent Systems with Vertex AI Agent Builder
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Hierarchical Agent Architectures: Root Coordinator Agent with Domain Specialist Sub-Agents
Connecting Agents to Enterprise APIs: BigQuery, Cloud Spanner, Salesforce & REST Endpoints
Human-in-the-Loop (HITL) Approval Workflows using Cloud Tasks & Cloud Pub/Sub
Agent Evaluation: Testing Tool-Call Accuracy, Goal Completion Rate & Safety Compliance
Hands-on Lab: Construct an Autonomous Multi-Agent Financial Analysis System with Document Verification & BigQuery Synthesis
04
Vertex AI Custom Training with Distributed TPU / GPU Clusters
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Distributed Training on Google Cloud TPUs (v4/v5e) using JAX, PyTorch & TensorFlow
Vertex AI Training Reduction Server: AllReduce Optimization for Multi-Node Training
Vertex AI TensorBoard: Real-Time Loss Monitoring, Profiling & Resource Utilization
Model Export, Containerization & Multi-Model Server Deployment with Triton / TF Serving
Hands-on Lab: Distributed Deep Learning Training on Google Cloud TPU v5e with JAX and Vertex AI TensorBoard Tracking
📄 GCP AI — Specialist Level (GCP-AI-PMLE)
L3
GCP-AI-PMLE
Enterprise AI Architecture, Zero-Trust MLOps & Fine-Tuning (PMLE Aligned)
01
Advanced Foundation Model Tuning & Alignment
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Supervised Fine-Tuning (SFT) on Gemini 1.5 using Vertex AI Pipelines
Reinforcement Learning from Human Feedback (RLHF) & Direct Preference Optimization (DPO)
Distillation: Compressing Large Models into Distilled Task-Specific Variants
Vertex AI GenAI Evaluation Service: AutoSxS, Custom Metric Evals & Benchmarks
Hands-on Lab: Enterprise Domain Fine-Tuning of Gemini with SFT and Automated AutoSxS Model Evaluation
02
Zero-Trust AI Security, VPC Service Controls & Data Privacy
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VPC Service Controls: Enclosing Vertex AI Endpoints, BigQuery & GCS inside Service Perimeters
Customer-Managed Encryption Keys (CMEK) across Vertex AI Datasets, Models & Vector Indexes
Sensitive Data Protection (Cloud DLP): Automated PII Inspection, De-identification & Masking in GenAI Prompts
Model Explainability with Vertex Explainable AI: Integrated Gradients & Shapley Values
Hands-on Lab: Architect a Zero-Trust GenAI Pipeline with VPC Service Controls, CMEK & Cloud DLP Real-Time PII Masking
03
Knowledge Graph-RAG with Google Cloud & Multi-Modal Reasoning
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Graph-RAG Integration: Connecting Knowledge Graphs with Vertex AI Vector Search
Multi-Hop Reasoning over Structured BigQuery Tables + Unstructured Document AI Extractions
Dynamic Context Routing, Hierarchical Summary Trees & Context Window Compaction
Self-Correction & Grounded Reflection Loops for Zero Hallucination Operations
Hands-on Lab: Construct a Graph-RAG Enterprise Knowledge System with BigQuery, Document AI & Gemini 1.5 Pro
04
Cloud AI FinOps, Observability & Enterprise Capstone
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Vertex AI Quotas, Provisioned Throughput Planning & Gemini Context Caching for Cost Optimization
Cloud Monitoring, OpenTelemetry Tracing & Vertex AI Endpoint Latency SLAs
Multi-Project Enterprise Governance with Google Cloud Organization Policies
Capstone Project: Production Deployment of an Enterprise-Grade Generative AI Platform on Google Cloud with Vertex AI, Gemini, Vector Search & Full MLOps Telemetry