Google Cloud AI Masterclass: RAG, LLMs, AI DBs, ADK, MCP.

About this course

Disclosure: This course contains the use of artificial intelligence and/or text-to-speech tools.

Welcome to the definitive masterclass on building production-grade, enterprise AI applications on Google Cloud.

Brought to you by KBS CloudTech, this course is meticulously designed and delivered by an elite team with over 17 years of hands-on enterprise experience. We take you far beyond basic tutorials and introductory theory, diving deep into the cutting edge of AI architecture—moving seamlessly from foundational vector mathematics all the way to fully autonomous agentic workflows and decoupled enterprise tool integration.

What You Will Learn

By the end of this masterclass, you will have built, deployed, and mastered four core pillars of modern enterprise AI:Semantic Foundations & Vector Math: Master how AI models understand and map unstructured data into high-dimensional space using Google’s flagship text-embedding-005 model. Unpack the underlying mathematics of Cosine Similarity, Euclidean Distance, and Dot Product (MIPS), and optimize performance using NumPy and Scikit-learn.

Cloud Vector Databases (BigQuery & AlloyDB AI): Learn how to run petabyte-scale in-place semantic searches in BigQuery ML and execute ultra-fast transactional vector workloads in AlloyDB AI. Build and configure optimized approximate nearest neighbor (ANN) indexes, including IVF and Google's proprietary ScaNN / Tree-AH quantization architecture.

Autonomous Workflows with the Agent Development Kit (ADK): Build intelligent, goal-oriented AI agents powered by Gemini.

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