AWESOME: How to Land your Dream Cloud Computing Position

Prepare for cloud interviews with practical demonstrations and whiteboard exercises. Learn to communicate with stakeholders, navigate the interview process, and target entry-level roles across AWS, Azure, and Google Cloud.

Meet Joe Holbrook, a veteran in cloud and IT, guiding you through cloud interview prep, success during interviews, and career growth afterward based on extensive industry experience.

Explore cloud roles from architect to security engineer and how titles vary. Learn how data, development, and software architecture skills align with cloud opportunities across Azure, AWS, and Google Cloud.

Explore top reasons to become a cloud professional, including strong career growth, high salary potential, low entry barriers, and flexible remote or hybrid work options.

Map cloud role skills for architects, engineers, developers, and administrators, focusing on Linux, database, networking, security, DevOps, containerization, and choosing one provider (AWS, Google, Azure) to build enterprise-ready solutions.

Identify transferable skills from non technical roles and translate problem solving and communication into cloud work. Build a resume that highlights doer traits for entry level cloud roles.

Cloud computing shows strong demand and growth, with market estimates around $446–$450 billion by 2022 and expected expansion toward 2030, signaling expanding career opportunities for cloud professionals.

Cloud certifications provide a valuable baseline and should be shared, but they do not replace experience; focus on one cloud, use free tiers, and pursue AWS cloud practitioner.

Explore cloud computing fundamentals, including the official definition and a utility-based view, service models (IaaS, PaaS, SaaS), deployment models (private, public, hybrid, community), and the shift to consumption-based procurement.

Explore cloud computing benefits, including faster time to market, lower capex, and scalable governance. Evaluate flexibility and cost savings that support remote operations and streamlined staffing.

Learn cloud finops by implementing a structured, culture-shifting cost management lifecycle: inform, optimize, and operate, addressing VM and storage costs, and chargeback, showback, and AWS cost tools.

Explore cloud computing cost models, including consumption-based, on-demand, expenditure-based, spot instances, freemium, SaaS, and advertising-based pricing, with practical interview examples.

Explore cloud architecture fundamentals, including front-end access, back-end services, delivery models, and hybrid or multi-cloud setups, reinforced by the AWS Well-Architected framework's security, reliability, performance, cost optimization, and automation.

Explore how industry, regulatory needs, and deployment context drive cloud provider choice, weighing factors like GDPR regions, vendor offerings, and Oracle licensing across AWS, Azure, and Google.

Distinguish hybrid cloud and multi-cloud deployments, explain private and public clouds, and examine real-world use cases, vendor examples, and interview questions.

Explore application modernization, moving outdated on-prem or hosted apps to the cloud, and learn lift and shift, refactoring, and replatforming to meet security, compliance, performance, and scalability.

Learn how to deploy and manage cloud virtual machines across AWS EC2 and Google Compute Engine, including instances, security groups, SSH access, volumes, and basic CLI/REST/Terraform workflows.

Explore serverless computing with AWS lambda, Google cloud functions, and azure functions, creating functions triggered by events or a webhook to execute finite code and connect services like s3.

Explore using managed container services like ECS and Google Kubernetes Engine, and pipeline services like Codepipeline, to create and deploy clusters, configure networking, and run containers and services.

Apply the shared responsibility model to cloud roles by distinguishing AWS-managed layers (hypervisor, hardware, networking) from customer duties (host OS patches, security groups, policies) for EC2 deployments.

Learn how infrastructure as code enables provisioning through automation, reducing errors and improving collaboration via source control. Explore CloudFormation, stacks, and tools like Terraform and Ansible for AWS deployments.

Apply DevOps as a cultural shift to bridge development and operations, using CI/CD pipelines to automate code from build to deployment for faster time to market and improved customer satisfaction.

Explore cloud integration with on-prem systems, covering data and application integration, api as the on ramp to the cloud, and connection methods like vpn, direct connection, and peering.

Explain how a cloud strategy communicates the cloud’s mission and economic value to executives, outlining baselines, service models, governance, and workload inventory.

Cloud native is a cloud-focused software architecture built as microservices using containers and APIs. It enables portability across clouds, faster development, scalability through automation and orchestration, and improved margins.

Gain practical finops and cloud career insights from an AWS expert, exploring multi-cloud trends, cost optimization, enterprise pricing, and hands-on solutions architecture.

Learn how coaching accelerates interview readiness through honest feedback, mock interviews, and guided preparation, turning an investment into a faster path to a higher paying cloud computing role.

Practice interview questions across cloud fundamentals, cloud native, and cloud architecture, covering PaaS benefits, traditional vs cloud data centers, and AWS autoscaling.

Discover cloud native architecture that uses containerized microservices, DevOps culture, and APIs to enable on-demand, scalable applications that resist failures and move across clouds.

Develop resumes early by week three, using keywords and bullet points aligned to cloud roles, and tailor experiences from LinkedIn to highlight responsibilities and best practices.

Review cloud architecture's parts: front end, back end, delivery model, and network, plus autoscaling policies—scheduled, dynamic, predictive—and infrastructure as code with cloud native aims of speed, scalability, and margins.

Access downloadable resources, including the free eBook How to become a cloud engineer with no experience, the course presentation, and the private Facebook group; sign up for tech commanders.