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Know Thyself - The Value and Limits of Self-Knowledge: The Examined Life
Understanding Dementia
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Learn how generative AI tools work and use prompt engineering with Google Cloud knowledge to improve Gemini responses.
Plan and conduct usability studies, synthesize research insights, and apply feedback to improve early UX designs.
Build high-performing teams through Google’s research-backed practices for goals, coaching, feedback, delegation, difficult conversations, and AI-assisted management.
This on-demand course provides partners the skills required to design, deploy, and monitor Discovery AI solutions including retail search and recommendation AI for enterprise customers.
Explore Anthos for hybrid cloud: the Anthos technology stack, GKE On-Prem architecture and networking, building clusters on GCP and AWS, and service mesh traffic shaping.
Adopt an Istio-based service mesh on Anthos: collect telemetry into Stackdriver and on-prem backends, route traffic with VirtualServices and DestinationRules, and secure services with mutual TLS.
Configure and maintain multi-cluster Kubernetes infrastructure with Anthos: enforce policy with Anthos Config Management and build shared or multiple control-plane Istio service meshes across GKE and VMware.
Deploy security controls on Google Cloud: Cloud Identity, IAM roles and service accounts, VPC firewall rules, load balancing, Cloud Interconnect, VPC Service Controls, Flow Logs, and Cloud IDS.
Deploy secure Google Cloud solutions: VM service accounts and scopes, Shielded VMs, Cloud Storage ACLs and signed URLs, CMEK/CSEK encryption, Secret Manager, and GKE cluster hardening.
Secure APIs on Apigee: apply OAuth grant types, JWT and OpenID Connect, JSON and regex threat protection, transport security, and data masking in hands-on labs.
Build APIs on Apigee with JSON, XML and SOAP mediation, custom JavaScript, shared flows, fault handling, spike arrests and quotas, caching, developer portals, and LLM prompt controls.
The purpose of this course is to help those who are qualified develop confidence to attempt the exam, and to help those not yet qualified to develop their own plan for preparation.
This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow.
Govern Google Workspace data: configure DLP rules in Gmail and Drive, set Vault retention and holds, manage data regions, Takeout and export settings, and apply labels.
Learn how Dataflow runs Apache Beam pipelines: Beam portability and Runner v2, Shuffle Service and Streaming Engine, IAM and quotas, and security with Private IPs and CMEK.
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