Official digital learning platform for standardized technical progression
Track Details
CompTIA IT Fundamentals = zero-to-tech hero in 6 hours. Hardware, OS, networks, security, databases, software dev life-cycle, cloud 101. 75-question, 650/900 pass. Hands-on: build a PC from parts, image Win 11 with USB, patch via WSUS, ping Google at 1 ms, set WPA3, back up to OneDrive, spot phishing. 1-day sprint that turns “I click icons” into “I explain PCIe lanes to Grandma.”
Duration
1 weeks
Learning Mode
Online
Batch
Current Cohort
Curriculum modules are not published for this track yet.
No learning objectives are configured yet.
No progression outcomes are configured yet.
Related Tracks
Cloud
Microsoft Azure Core Fundamentals is the on-ramp to the world’s second-largest cloud. In one condensed day you’ll build and break a mini-enterprise: deploy a Ubuntu VM behind a B-series SKU, attach a managed OS disk, snapshot it before a risky upgrade. You’ll create a storage account with hot/cool tiers, lifecycle rules that archive 80 % of blobs to glacier after 30 days, and a SAS token that expires like a mission-impossible tape. You’ll peer two VNets, force-tunnel traffic through an NVA, and watch Network Watcher draw the packet flow in real time. Identity section: invite your Gmail as a guest user, assign Reader role at subscription scope, then add PIM-eligible Contributor that requires ticket-based approval. Governance: apply a “deny naughty SKUs” policy that blocks any VM size starting with “Standard_B” unless tagged “dev-test”. Cost: run the Pricing Calculator, export the estimate to Excel, then set a $50 budget that emails you at 80 % burn.
View DetailsCloud
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.
View DetailsCloud
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.
View Details