Azure Core Fundamentals = cloud 101 in 5 pillars: compute (VMs, ACI, Functions), storage (Blob, Files, Tables), networking (VNet, NSG, Load Balancer), identity (Azure AD, RBAC, MFA), governance (Policy, Blueprints, Cost Mgmt). Pay-as-you-go, global regions, 99.9% SLAs. Hands-on labs: spin up VM in 2 min, secure it with NSG, auto-scale with VMSS, back up to geo-redundant storage, monitor with Log Analytics. 30-question practice test, 700/1 000 pass. 1-day sprint that turns cloud-curious into Azure-literate.
CloudAdvancedLive
Duration
10 weeks
Learning Mode
Online
Batch
Current Cohort
Curriculum Modules
Curriculum modules are not published for this track yet.
I’m the glue between product dreams and AWS reality. My day starts reviewing a napkin sketch: “We need global sub-100 ms latency for 8 M concurrent gamers and PCI-DSS compliance.” By stand-up I’ve turned it into a color-coded Lucidchart: CloudFront + WAF front door, Origin Shield in front of S3 static lobby, API Gateway → Lambda@Edge for auth, regional ECS Fargate clusters for game sessions, DynamoDB Global Tables for player state, Kinesis Data Streams + Firehose for 30 TB/day telemetry, and Aurora Serverless v2 for leaderboards that scale to zero at 4 a.m.
I write infrastructure as code (TypeScript CDK or Terraform) so every pull-request spins up a full clone stack in 12 minutes; when it’s torn down, the cost is $0.47. Security: IAM boundaries, SCPs, KMS CMKs rotated every 90 days, GuardDuty + Security Hub aggregated across 250 accounts. Cost: I built a FinOps bot that parks 3 200 dev instances nightly, saving $1.1 M/year; reserved Graviton3 capacity cut compute by 42 % while raising TPS 19 %. Observability: CloudWatch metric math, X-Ray sampling, custom Contributor Insights rules that page Slack before users notice.
This is the friendly on-ramp for every future admin, coder, or curious clicker. Morning: we rip open a desktop—identify ATX 24-pin, M.2 NVMe vs. SATA, DDR5 channels, PSU rails, then POST-beep our way to BIOS. Afternoon: boot Ubuntu Live, shrink NTFS, dual-boot, and watch Task Manager while we stress CPU with Prime95 until 90 °C throttle. Networking: cable a Cat6 T568B patch, log into a consumer router, flip 2.4 GHz → 5 GHz, run iperf3 and smile at 940 Mbps. Security: we phish ourselves with a fake LinkedIn e-mail, forward the header to abuse@, and enable 2FA on every account.
Databases: import a CSV of 500 movies into SQLite, run SELECT * WHERE genre='Comedy', export to JSON for the web devs. Cloud: spin up a free AWS EC2 micro, SSH in, install nginx, serve “Hello Cloud” in 6 min—then terminate so the bill is $0.00. Software dev: trace the waterfall vs. Agile sticky-note board, write five lines of Python that print Fibonacci, commit to GitHub, open a PR, merge, done.
Exam cram: 90-minute mock, 75 multiple-choice, 650 cut-score. We play Kahoot with acronyms—BIOS, USB-C, SSD, VPN, SQL—and finish with a 95 % class average. By 5 p.m. you’ll have replaced a laptop screen, secured Grandma’s Wi-Fi, and earned a digital badge that links straight to LinkedIn. Next stop: A+, Network+, or that coding boot-camp you bookmarked.
I am the guardian of the relational engine. My day begins in the Plan Cache, hunting for "expensive queries" and implicit conversions that kill performance. I don't just "add an index"; I architect SARGable queries, implement Partition Switching for massive data loads, and use Memory-Optimized Tables for high-concurrency ingestion. My T-SQL is a surgical instrument—utilizing Window Functions, CTEs, and Cross Applies to replace cursor-based logic with high-speed set-based operations.
High Availability is my baseline. I deploy and maintain multi-subnet Always On Availability Groups with Read-Only Routing to offload reporting traffic. My backup strategy follows the 3-2-1 rule, tested weekly with automated RESTORE VERIFYONLY scripts. For security, I implement Row-Level Security (RLS), Data Masking, and Always Encrypted to ensure PCI/HIPAA compliance at the engine level.
Advanced Toolkit:
- Optimization: Statistics maintenance, Defragmentation, Resource Governor.
- Integration: SSIS ETL pipelines (BIML), Linked Servers, OpenRowset.
- Intelligence: SSRS Paginated Reports, Power BI integration, DAX/MDX.
- Monitoring: SentryOne, Redgate, custom DMV dashboards.
When your "Server is Slow," I don't reboot; I analyze Wait Stats (CXPACKET, SOS_SCHEDULER_YIELD, LCK_M_X) to find the root cause—be it disk latency, memory pressure, or bad parameter sniffing. I provide the developers with a "Before vs. After" execution plan showing the 80% IO reduction. Whether migrating 50 TB to Azure SQL Managed Instance or localizing a legacy 2008 R2 cluster to 2022, I ensure the data remains consistent, durable, and lightning-fast.