
Jonathan Barrios
Data Science, Machine Learning & AI
Core AI paths for professionals, IT leaders, developers, and teams adopting safe AI workflows.
Training architecture
Start with AI productivity and Copilot essentials, then add compliance, privacy, copyright, and secure AI coding workflows for developers and IT leaders.
Certification tier
Give employees a baseline for using AI tools productively and safely.
AI productivity workflows and Microsoft Copilot essentials for professionals.
Certification tier
Develop teams that understand AI privacy, copyright, HR/legal/IT concerns, and developer responsibilities.
AI compliance for HR, Legal, IT, and developers adopting AI tools.
Certification tier
Build the bench that can use AI coding tools while managing security and testing practices.
AI coding workflows with ChatGPT, Cursor, TDD, and security awareness.
AI training helps leaders document who understands productivity use cases, compliance risk, and secure developer workflows.
Role-based paths
Match AI & Machine Learning training to the actual roles your team holds. Each path bundles the right cert tracks plus the operational depth engineers need day-to-day.
AI productivity and Copilot workflows for business and IT professionals.
Compliance, privacy, copyright, and policy-aware adoption for leaders.
AI compliance, privacy, secure AI coding, TDD, and developer workflow coverage.
Platform depth
Platform-by-platform deep dives for the specificAI & Machine Learning tools your team operates.
AI productivity and Copilot workflows for professionals.
Privacy, copyright, HR/legal/IT, and developer compliance concerns.
AI coding, TDD, and security-aware developer workflows.

Hands-on AI & Machine Learning practice
Human-led training is the point: engineers practice real skills with expert guidance, not just video playback.
Why CBT Nuggets
The platform features IT directors evaluating us against Pluralsight, Udemy Business, and LinkedIn Learning ask about most often.
Practitioner-led
Built and taught by engineers who have spent decades running production AI & Machine Learning infrastructure — not crowd-sourced contributors.

Data Science, Machine Learning & AI

DevOps & Cloud Engineering

Web Development & Programming
Team outcome
Curated playlists and team assignments make onboarding repeatable instead of relying on ad hoc shadowing and tribal knowledge.
Best fit for: managers scaling a team, backfilling a role, or standardizing skills across distributed engineers.
Common questions IT directors ask when evaluating AI & Machine Learning training for their team.