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Course Details
Course Details
What You'll Learn
This course prepares you for the Professional certification exam, covering all official exam domains and their approximate weightings:
Domain 1 Section 1: Bootstrapping and maintaining a Google Cloud organization (20%)
- Design the overall resource hierarchy (application-centric org/projects/folders, shared networking via Shared VPC/VPC Peering/Private Service Connect, multi-project monitoring/logging, IAM roles + org policies, service accounts, data residency)
- Manage infrastructure with IaC tooling (Infrastructure Manager, Cloud Foundation Toolkit, Config Connector, GitOps, Terraform, Helm) and scripting automation (Python, Go)
- Design CI/CD architecture stacks across Google Cloud, hybrid, and multi-cloud (Cloud Build, Cloud Deploy with Kustomize/Skaffold, Artifact Registry, Jenkins/Argo CD/Packer/kpt, CI/CD tooling security)
- Manage multiple environments (ephemeral environments, configuration/policy management, GKE fleets, safe patching and upgrading)
- Enable secure cloud development environments (Cloud Workstations, Cloud Shell, bootstrapping with custom images/IDE/Cloud SDK, AI-assisted dev/ops via Gemini Code Assist/Cloud Assist/CLI)
Domain 2 Section 2: Building and implementing CI/CD pipelines, including continuous testing, for application, infrastructure, and machine learning workloads (25%)
- Design pipelines (CI/CD of apps and infrastructure, artifact management, deployment to hybrid/multi-cloud/GKE, pipeline triggers, approval flows)
- Implement and manage pipelines (auditing/tracking deployments via Cloud Audit Logs, deployment strategies like canary/blue-green/rolling/traffic-splitting/feature flags, troubleshooting deployment issues)
- Manage pipeline configuration and secrets (Cloud KMS, Secret Manager, Certificate Manager, Parameter Manager, Workload Identity Federation, build vs runtime secret injection)
- Secure the deployment pipeline (Artifact Analysis/vulnerability scanning, Binary Authorization, SLSA framework, environment-based IAM policies)
Domain 3 Section 3: Applying site reliability engineering practices (18%)
- Balance change velocity and reliability (defining SLIs/SLOs/SLAs, error budgets, opportunity cost of risk vs number of nines)
- Manage service lifecycle (planning, deployment, maintenance, retirement)
- Capacity planning (quotas, limits, reservations, Dynamic Workload Scheduler) and autoscaling (managed instance groups, Cloud Run, GKE)
- Mitigate incident impact on users (draining/redirecting traffic, adding capacity, rollback strategies)
Domain 4 Section 4: Implementing observability practices and troubleshooting issues (25%)
- Instrument and collect telemetry (Ops Agent, OpenTelemetry, Cloud Audit/VPC Flow Logs, log optimization, metrics collection incl. Managed Service for Prometheus, synthetic monitors, custom/log-based metrics)
- Manage and analyze logs (Logs Explorer, Logging query language, exporting to BigQuery/Pub/Sub/Cloud Storage, PII/PHI redaction, Gemini Cloud Assist log analysis)
- Manage metrics, dashboards, and alerts (Metrics Explorer, dashboards/PromQL, alerting policies on SLIs/SLOs/cost, third-party integrations like PagerDuty, Gemini Cloud Assist for metrics)
- Capture and analyze distributed traces (OpenTelemetry, trace waterfalls/spans, correlating trace IDs with logs, Gemini Cloud Assist trace analysis)
- Troubleshoot infrastructure, CI/CD pipeline, application, observability, and performance/latency issues
Domain 5 Section 5: Optimizing performance and cost (12%)
- Collect performance information via application performance monitoring and Active Assist insights/recommendations
- Implement FinOps practices for observability costs and Spot VMs
- Optimize resource usage for cost/efficiency and plan infrastructure cost (committed-use/sustained-use discounts, network tiers)
- Leverage Google Cloud recommenders (cost, security, performance, manageability, reliability) and optimize individual workload costs (GKE, Cloud Run, Compute Engine)
Course Info
Prerequisite
Basic knowledge of HTM, CSS and Java script is assumed
Software Requirement
Please download and install the following software prior to the class
- Node.js https://nodejs.org/en/
- Sublime Text 3 https://www.sublimetext.com/3
- Java Development Kit 8 (http://www.oracle.com/technetwork/java/javase/downloads/jdk8-downloads-2133151.html)
- Android Studio (https://developer.android.com/studio/)
Job Roles
Job Roles
- IT Security Specialist
- Compliance Officer
- System Administrator
- Network Administrator
- Cybersecurity Analyst
- IT Manager
- Security Engineer
- Data Privacy Specialist
- IT Auditor
- Risk Management Specialist
- Security Consultant
- Information Security Officer
- IT Governance Specialist
- Cloud Security Specialist
- Identity and Access Management Specialist
Trainers
Trainers
Truman Ng is a ACTA certified trainer that graduated with Bachelor Degree in Electrical Engineering from NUS in year 2002. He designed Artificial Intelligence (AI) controller for DC-DC Power Convertor by using Fuzzy Logic and Neural Network (NN) as his university Final Year Project.
Truman has over 15 years project experiences across Database & Web Design, PLC machinery, Data Center Design , Structure Cabling System(SCS) and Enterprise Network Design and Implementation. He used to be a network architect for Hewlett Packard, working with a group of virtual team from the US in handling network design and projects in the States.
Truman is the founder of Nexplore (S) Pte Ltd. He provides solutions of Cloud SaaS, IaaS & PaaS and Software Defined Network (SDN), VoIP and Internet Security. He was engaged by Huawei Global Training Center to provide 60+ consultations and trainings for Internet Service Providers(ISP) from Malaysia, Singapore, Brunei, Philippines, Australia, Poland, Iran, South Africa, Swaziland, Cote Dlvoire, Syria, Uzbekistan, New Zealand and countries over the world.As achievement, Truman has successfully completed 100+ IT network projects for Bank, Hotel and Factory within 5 years.Truman is certified in PMP, Cisco CCNP, CCIP, CCDP, HP Ase and Huawei HCNP, HCIE R&S, HCNA Cloud, HCNA Security, etc
Solomon Soh is an experienced Data Scientist and AI Trainer with a strong record of teaching and mentoring in Python programming, data analytics, and machine learning. Currently a Data Science Trainer with IBM Singapore, he has coached teams on projects involving natural language processing, computer vision, and chatbots, achieving a 96% learner satisfaction rating for his communication and technical expertise. His career spans roles at Workforce Optimizer, Certis Cisco, Ernst & Young, and IQVIA, where he applied Python-driven analytics to improve operations, optimize staffing, and deliver actionable insights. His academic background includes a double degree in Economics and Psychology from Singapore Management University (Summa Cum Laude, triple major in Analytics), an MBA, and a Master’s in Financial Engineering.
Anil
Dr. Alfred Ang is the founder of Tertiary Courses. He is a serial entrepreneur. He founded OSWeb2Design Singapore Pte Ltd in 2007 offering web development, e-commerce store development, graphics design, ebook publishing, mobile apps development, and digital marketing services. He established the first online gardening store in Singapore, Eco City Hydroponics Pte Ltd in 2000, offering a wide range of gardening products such as seeds, plant nutrients, hydroponics kits etc. Eco City Hydroponics has become the most popular and successful gardening store in Singapore. He founded Tertiary Infotech Pte Ltd in 2012 and transformed the business to a training platform, Tertiary Courses in 2014. Tertiary Courses offers a wide range of SkillsFuture courses for PMETs to upgrade their skills and knowledge. He also established Tertiary Courses Malaysia in 2016. He also founded Tertiary Robotics in 2015 offering Arduino, Raspberry Pi, Microbit and Robotics products
Dr. Alfred Ang earned his Ph.D. from National University of Singapore in 2000, majoring in Electrical and Electronics Engineering. He also completed an online MBA course with U21 Global based in Australia. He obtained his B.Sc (Hons) from National University of Singapore in 1992, majoring in Physics. He topped his Physics cohort for 3 consecutive years and funded his degree study with Book price, awards and tuition. He has worked in Defence, Electronics and Semiconductor Industries. His current interests include Machine Learning, Deep Learning, Artificial Intelligence, Internet of Things, Robotics and Programming.
Dr. Alfred Ang is IBM certified instructor for AI Practitioners course. He is a ACTA certified trainer and DACE certified curriculum developer. He was Distinguished Toastmasters (DTM) and Senior Member of IEEE. He has published more than 20 peer reviewed papers and co-inventors for more than 20 inventions.
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