FreeBeginner
Getting Started with AI
8 sessions · self-paced
Eight sessions on how language models really behave: tokens and sampling, cost and latency, prompts and context, structured output, choosing a provider, and using AI responsibly.
Technology Career Foundations
Durable guidance for choosing core skills, presenting your work, and building credible career evidence.
Related pathway: AI/ML Engineering
Free course for this topic
8 guides
Building Your Career in Tech: Resume Building, Freelancing, and Personal Branding
Turn verifiable projects into clearer resume bullets, a reviewable GitHub portfolio, an honest professional profile, and a scoped freelance offer.
Changing to AI/ML Engineering After Five Years in Another Technical Role
A grounded transition plan for backend, QA, DevOps, and other technical professionals moving into applied AI work without starting their careers over.
Forward-Deployed Engineer vs Solutions Architect: A Side-by-Side Comparison
FDE vs solutions architect compared: what each role owns, how much code each writes, how they work with customers, the skills each needs, and how to choose.
From Backend Developer to Forward-Deployed Engineer: A Realistic Timeline
A four-to-six-month part-time shape for backend developers moving toward FDE work through AI fluency, codebase delivery, and inspectable evidence.
How to Become a Forward-Deployed Engineer Without a CS Degree
A practical path for experienced software professionals who want to move into client-facing AI delivery without treating a degree as the whole credential.
Is an AI/ML Bootcamp Worth It for Experienced Professionals?
A decision framework for experienced technical professionals evaluating an AI/ML program: inspect the sequence, evidence, feedback loop, and claims.
Launch Your IT Career With Core Tech Skills
A beginner roadmap for programming, web APIs, Git, data, testing and deployment—built around one progressive, reviewable project.
What a Cloud/AI Solutions Architect Actually Does Day to Day
A practical look at the recurring work behind Cloud/AI Solutions Architect roles: discovery, system choices, risk, cost, and technical communication.