Data, AI, Digital, IT & Cybersecurity
AWS Certified Cloud Practitioner Preparation
Bilingual preparation for AWS cloud concepts, security, services, cost, and systematic readiness for the CLF-C02 exam.
Specialist Preparation Program in Cloud Computing Fundamentals is a free program on ARPS, the Arab Platform for Professional Studies. Learn to prepare an initial cloud decision for a small workload using demand, capacity, responsibility, access, recovery and cost evidence. Move from classifying an offer to testing booking, backup, monitoring and migration, then hand over a record of what was shown.
Optional certificate fee 50% launch discount
$90 instead of $180
331 AED or 338 SAR
The program begins with NIST's five cloud characteristics, then separates service from deployment models and clarifies customer and provider duties. You turn a vague booking brief into requirements with units and tests, calculate starting capacity, and examine loss of an instance. You draw the entry path to an application and private database and assign identity and booking-data controls. You then calculate RPO and RTO against synthetic recovery records, define booking-success indicators and incident alerts, and estimate usage cost with explicit units. Finally, you inventory migration dependencies, plan cutover and rollback that preserve new transactions, compare intended and actual deployment state, weigh two options with mandatory gates, and review configuration drift after handover. Each lesson has two data-bearing exercises with worked solutions and checks. Estimated minutes cover one language learning path, not accredited hours. Fictional prices are not live offers, and workplace data belongs only in an authorized environment.
The aids support a small application, operations or migration review: document workload assumptions, assign an unowned control, test an unintended access path, and distinguish a booking failure from a dashboard symptom. Exercises use invented data without requiring a paid cloud account. Adapt them to a real service only after checking its agreement and obtaining needed authorization.
The program gives a beginning specialist concrete operating aids rather than product labels alone. Learners produce an evidence table, responsibility matrix, capacity calculation, access and recovery checks, and a bounded decision record. Following one small connected workload shows how resource choices affect a testable booking outcome without claiming that theory alone qualifies someone to launch a system.
Begin by checking an offer against five cloud characteristics, separating absent evidence from a demonstrated contradiction for the particular service. Distinguish service models from deployment models and assign remaining application, identity and data duties to the customer or provider according to the actual offer. Then turn a vague booking brief into measurable requirements: request type and peak, booking success, acceptable data loss and recovery time. Produce a characteristic evidence table, responsibility matrix and unit-aware requirements sheet. Seek a specific observation rather than accept provider branding or a rate without a measurement window, and distinguish service capability from success of the workload that uses it. The unit closes by identifying which decisions the specialist can prepare and which belong to service and data owners.
Build an initial design from demand evidence rather than an instance-size label. Calculate core demand from arrival rate and service time, then test operating headroom and one-instance failure while observing the database. Draw the HTTPS path to the application and private database; select transactional storage for booking and object storage for independent receipts by access pattern. Assign narrow actions and resources to application, support and backup identities, testing both permission and denial while naming the data-retention decision owner. Outputs are a capacity sheet, traffic table, storage selection and permission matrix. All values and cities are fictional. You learn why front-end scaling cannot fix a database bottleneck and why a connection fault does not justify exposing a database to every public address.
Operate the service from a user's result: can a booking complete, can its data be recovered after disruption, and what resources caused its cost? Calculate a backup gap against RPO and include detection, authorization, import and functional verification in RTO; possession of a copy alone is not successful recovery. Define a booking-success indicator and an alert with denominator, time window and sample floor, then separate observed failure from a causal hypothesis. Calculate compute, storage and transfer lines using fictional prices and allocate a shared line under an explicit rule. Deliver a recovery-gap table, timed exercise, alert card and cost sheet. Fictional cases establish neither a live price nor a universal availability target; they show where a service-owner decision is needed.
Finish the workload path with a dependency map showing what writes and reads the database and when night jobs run. Plan cutover and fallback without hiding transactions created on the new target. Verify deployment by comparing version, instance minimum, network boundary and backup evidence with approved state, and test a booking journey rather than a home page alone. Combine capacity, identity, recovery and cost evidence in a decision record with mandatory gates and explicit weights; a specific tested connector change can alter the recommendation. After handover, inspect configuration drift and distinguish authorized scaling from a public database or an evidence gap. Deliver a migration map, acceptance record, weighted decision and change-impact matrix. All cases are fictional; production and purchasing decisions remain with authorized owners.
Subjects unlock in sequence as you progress.
Definitions use NIST, while responsibility, operations, recovery, cost and migration use identified primary guidance; cases and figures are fictional.
The method moves from workload and service evidence to tested controls, capacity, recovery and cost before a decision.
Assessments follow the program blueprint and may use module assessments, a final assessment, or a combination, under the approved attempt policy.
Assessment attempts: 2 per assessment, 7 days apart
The pass mark is announced before the program is published.
The credential confirms completion and successful assessment; it does not represent professional licensure unless explicitly and lawfully stated.
Every certificate has a public verification code. Verify a certificate
The real design with fictional details; opens in a new window.
No. Every case can be solved from fictional data; live service testing needs organizational permission.
No. You prepare evidence and recommendations; authorized service, data and purchasing owners make those decisions.
No. They are fictional arithmetic inputs; verify a provider's current offer and region before financial use.
Practice produces an artifact compared with a worked solution; assessment samples decision questions for automatic scoring.
No. Resources, prices and data are fictional; live tests need authorization and defined operating limits.
No. Arithmetic sets a starting point; verify bookings, recovery, access and costs against the actual offer.
Yes. Specialist Preparation Program in Cloud Computing Fundamentals is free on ARPS: every lesson, exercise and assessment is free, the first subject is open to read without an account, and the program is available in Arabic and English. Issuing a certificate is optional; it is a training completion certificate showing you passed the program's assessments, not a university degree, a professional licence or an endorsement by an external body.
The subject of this program is also known as: cloud computing, cloud fundamentals, cloud computing basics, cloud services. Learners usually find it by searching for: cloud computing fundamentals course, cloud computing for beginners, introduction to cloud computing, cloud computing course free, IaaS PaaS SaaS explained.