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18 resources
Futu News report on attackers stealing AI service accounts and cloud computing resources. Described from its title; the page did not load for automated checks.
The official home of Kubernetes, the free open-source system for running and scaling containerized applications. Includes full documentation, tutorials and a browser-based interactive learning track — useful background if you are moving toward cloud, DevOps or AI infrastructure work.
Why I recommend it: The software and docs are free and open source. Running Kubernetes on a cloud provider costs money, so stick to the free local tutorials while you are learning.
An internal-talk write-up in which AWS's chief AI and technology officer lays out how he expects AI and cloud work to change, including what he thinks engineers should get good at. Free to read, no sign-up.
From the site: At the AWS Global Meeting, Matt Wood drew a parallel between AI today and cloud's early days—and brought a live demo to prove the future is already here.
Why I recommend it: Worth reading as an industry leader's view of where the work is heading — it is also Amazon talking about Amazon, so treat the optimism as a company position, not a neutral forecast.
Question banks for more than 100 technical roles — Node.js, Azure, Golang, Kubernetes, OAuth and more — each with sample answers, updated regularly. Free to read with no sign-up.
From the site: Ready-to-use technical interview questions and structured guides for developer roles and frameworks, from Remix to Magento. Updated September 2026.
Why I recommend it: Written for the people doing the interviewing, which is exactly why it is useful — you get to see the questions and the answers they are grading against.
Technical writing on legacy modernisation, monoliths and microservices, technical debt, cloud migration and where AI coding tools break down on large old codebases.
From the site: Check out all latest posts from vFunction including modernization strategies, cloud migration best practices, and company updates.
Why I recommend it: technical rather than promotional, though vFunction sells modernization software. The pieces on AI assistants meeting million-line codebases are the honest ones.
AWS's own page for students and recent graduates: internships, new-grad roles and the programs it runs to fill them.
From the site: It's amazing how having a job you love has a ripple effect on the rest of your life. Whether you're just getting started or you want to take on new challenges, you have an array of opportunities to build a great future at AWS. See why AWS is the best p...
Why I recommend it: Read the timelines carefully. Big-company early-career programs often close months before the start date, so a page that looks open all year usually is not.
A free self-assessment that maps your current Linux, cloud and automation skills against Red Hat's role paths and points you to the training and certifications that close the gaps.
Why I recommend it: Take this before you pay for any cloud certification — it tells you where you actually stand and what to study first.
Free technical whitepapers, reference architectures and best-practice guides on cloud architecture, security, machine learning and cost optimisation.
Why I recommend it: Free and deep — the well-architected guides are what cloud interviews are drawn from.
HashiCorp's free documentation, hands-on tutorials and sandbox for Terraform, the infrastructure-as-code tool used to build and version cloud infrastructure across AWS, Azure, Google Cloud, Oracle Cloud and Docker.
Why I recommend it: Free, official, step-by-step tutorials — one of the fastest ways to get a real cloud skill on your resume without paying for a course.
Observability platform with a free-forever tier for distributed tracing, metrics, OpenTelemetry support and AI-assisted debugging. Useful for engineers learning modern observability and incident response.
A free, open-source cloud engineering program built on accessible technical education, hands-on practice, AI-powered feedback, and independent learning.
From the site: A free, open-source cloud engineering program built on accessible technical education, hands-on practice, AI-powered feedback, and independent learning.
Why I recommend it: A self-paced, no-cost path into cloud engineering; great if you want structured hands-on labs without a bootcamp price tag.
Free courses and free LinkedIn-ready credentials in AI, cybersecurity, data, and cloud computing.
Why I recommend it: One of the few places where both the training and the credential are free. Stack two or three badges in one lane instead of one badge in four lanes.
Free cloud training and learning plans that lead toward AWS certifications.
Why I recommend it: Start with the free digital courses in the role you want before you pay for an exam voucher.
Free, full-time cloud skills program for unemployed and underemployed adults, with employer connections.
Why I recommend it: No tech background required and it ends in interviews, not just a certificate. Check local delivery partners for the next cohort date.
Twelve-month paid apprenticeships in Application Development, Cybersecurity, Data Engineering, and Cloud Engineering. Accenture has scaled apprenticeships into a large share of its entry-level hiring in North America.
In plain terms: This program provides paid, entry-level tech and business apprenticeships with mentorship for job seekers without a four-year degree. You can submit an application to gain hands-on training and work toward a full-time role.
Why I recommend it: Client-facing consulting experience is the differentiator here. It teaches you how to talk to business stakeholders, which pays off for the rest of your career.
Oracle's free educational program covering cloud architecture, enterprise systems, and a data center technician curriculum designed to move students directly into operations and frontline hardware and infrastructure roles.
Why I recommend it: Free curriculum and cloud practice environments. Useful for the digital side of data center work: systems administration and hardware maintenance.
Twelve-month paid apprenticeships with full benefits in Cybersecurity, Software Development, Data Science, Cloud Engineering, and Application Development. IBM built these around "new collar" roles that prioritize skills over diplomas.
In plain terms: This program offers year-long paid apprenticeships with benefits across tech fields like software development and cybersecurity. You can apply for entry-level roles that prioritize your skills rather than a college degree.
Why I recommend it: Application windows open in short rolling bursts, sometimes closing within a day. Set a job alert and follow IBM on LinkedIn so you are not late.
Paid classroom training plus on-the-job training in cloud computing and software development. Several tracks exist, including ones for veterans and military spouses, and internal paths for non-technical employees pivoting into engineering.
In plain terms: This program offers paid classroom and on-the-job training in cloud computing and software development for military veterans and their spouses. You can apply to gain technical skills without prior experience and prepare for full-time jobs at Amazon.
Why I recommend it: If you or your spouse served, start here. The military track is a open door with no prior tech experience required.
