10 free resources on this topic. Everything here is free and hand-picked. You can also search within this topic.
A free live conversation about the IBM Z USA Apprenticeship Program — learn how the program works, who it's for, and how to apply.
IBM's internship hub, describing paid summer and co-op internships across software engineering, data science, consulting, design, sales and research, plus how and when to apply.
Why I recommend it: Start here rather than a general job board if you want a large-company internship on your resume. Applications open early, so check it in the autumn for the following summer.
A hands-on Coursera project course from IBM that walks through building and deploying a simple AI web application with Python and Flask, including REST API integration and packaging for production.
Why I recommend it: Good next step after you have basic Python and want to see how an AI feature actually ships in a small web app. Audit for free; certificate available.
Free monthly AI building challenge from IBM SkillsBuild and BeMyApp: learn the tooling, submit an AI project for judging, and attend the AI Builders Conference on September 16, 2026 with IBM experts and developers. No cost to register or participate.
Details: Challenges like this give you a finished project to point at, which is worth more in interviews than another certificate.
IBM's free learning platform for job seekers and students, with courses and credentials in AI, cybersecurity, data analysis, and workplace skills. Registration creates a free IBM SkillsBuild ID.
Why I recommend it: Free, employer-branded credentials from a name recruiters know. Pick one track, finish it, and put the badge on your LinkedIn profile.
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.
Hands-on introduction to Python, working with data, and calling APIs, with no prior programming required.
Why I recommend it: This is the practical first coding course for people who want to automate or analyze, not become a software engineer. Do the labs, not just the videos.
Three short courses, roughly 12 hours total, covering AI concepts, use cases, and ethics.
Why I recommend it: A brand-name intro. Hiring managers recognize IBM even when they do not recognize the course.
The former IBM CEO on why she removed degree requirements from a majority of IBM roles, created the "new collar" job category, and built apprenticeship pipelines instead of competing for credentialed hires.
In plain terms: This article features former IBM CEO Ginni Rometty explaining why companies are shifting toward skills-based hiring instead of requiring college degrees. You can use these insights to understand how employers evaluate real skills and pursue career paths without traditional credentials.
Why I recommend it: This is the origin story behind IBM's apprenticeships. Quote the philosophy back to them in your application: they mean it.
A plain-language breakdown of IBM's apprenticeship requirements, tracks, pay structure, and what non-traditional backgrounds the program is designed for.
In plain terms: This guide explains IBM's paid apprenticeship program for people without a college degree. You can explore training paths in IT, cybersecurity, and manufacturing to learn how to start a new career.
Why I recommend it: Straightforward and current. Pair it with the IBM apprenticeship listing already in the hub.
