Subject-matter expert
Jonathan Barrios
Jonathan started his career as a full-stack developer and quickly became interested in combining his online education experience with his data science and machine learning knowledge. Jonathan has been a programmer, data analytics instructor, and curriculum writer for several leading online education platforms is excited to share his skills and education experience with aspiring data practitioners at CBT Nuggets.
Training coverage
Courses that carry Jonathan Barrios's expertise into your team plan
Use these courses as proof of coverage for the roles and technologies your team needs to support.
Courses Jonathan Barrios teaches
23 courses
AI
AI & Machine Learning
This AI and Machine Learning course helps you build reliable AI systems and deploy usable AI/ML workflows in any job. You’ll understand how models learn, build machine learning models, and master rigorous evaluation and pipeline design. The course lays out ML fundamentals like regression and tensors, then builds toward real LLM applications, focusing on hallucination reduction and retrieval-based apps. You’ll integrate latency awareness to ensure testable, grounded outputs, learning how modern AI scales in production using tools like PyTorch, TensorFlow, and LangChain. By the end, you’ll have a foundation in AI workflow thinking, equipping you with skills like ML fundamentals, RAG, evaluation, and AI security to consistently build reliable applications.
AI
AI Agentic Coding
This AI coding course shows you how to code effectively with agentic coding, using Cursor AI, Claude Code CLI, GitHub Copilot, Grok 4, and ChatGPT as reliable partners. Examine prompt engineering for writing code, debugging with Claude, Cursor AI coding workflows, and turning specs into working programs. If you’re serious about practical, safe, and effective coding using AI agents, this course gives you the tools to start making apps and automations that provide real value.
AI
AI compliance
This AI course for beginners shows non-technical professionals how to apply AI with guardrails that protect data, respect copyright, and reduce bias. AI can accelerate HR, Legal, and IT operations, but only if used responsibly. In this quick, plain-language AI training, you'll learn compliance frameworks, governance controls, and evaluation strategies to keep your team safe while unlocking AI’s productivity benefits. By the end, you’ll know how to deploy AI in your workflows confidently, legally, and securely.
AI
AI Compliance for Devs
This AI compliance course for developers is designed to help coders and devs learn to avoid copyright violations, prevent AI bias, and meet privacy and compliance standards while building secure AI applications. AI gives developers enormous power, but without the right guardrails, it can create serious risks. Learn AI compliance essentials, how to apply AI in cybersecurity, and how to align with ethical, legal, and industry frameworks. Made for developers and DevOps teams, it’s the practical foundation you need to build tools that are secure, compliant, and fair.
AI
AI for Business Leaders
This AI for business course has practical tools for evaluating, governing, and scaling AI initiatives as an executive. You’ll explore different frameworks: when to go with automation vs. human oversight, how to measure the ROI of using AI in 30-60-90 days, and how to balance the risks and rewards that come with adoption. Most leaders deploy AI without a strategy, leading to wasted time, compliance issues, and security risks. Get back into the drivers seat with this expert-led AI training for business leaders.
AI
AI Productivity Tools
This entry-level AI productivity tools training course shows you how to make AI work for you. You’ll practice prompting ChatGPT, Copilot, Gemini and similar tools to summarize inboxes and research, turn meeting transcripts into task lists, and automate spreadsheet analysis and formatting. Learn to build slide decks in seconds, use AI agents to manage calendars, and apply responsible AI practices for security and privacy. No prior AI experience required, just a desire to reclaim your time and focus on meaningful work.
AI
Claude Certified Architect – Foundations (CCAR-F)
AI-assisted development raises a governance question for IT leaders: how do you capture the productivity of Claude Code and the Claude API without letting one-off prompts become unreviewable production risk? This intermediate course gives development teams a shared, repeatable approach to building with Claude. Built for software engineers, backend developers, and system architects who already work with APIs, the course moves from Claude Code setup and context control through API foundations, prompt evaluation, tool use, RAG and vector search, and MCP servers. It closes with agent workflows and a capstone agentic multimedia article system. Along the way, teams practice planning modes, success criteria, custom commands, hooks that block sensitive information, test datasets and graders, and human approval steps that keep AI-generated changes scoped and auditable. For Team Leads, the result is consistent practice: common tasks such as dependency audits, test writing, and pull request summaries become repeatable commands instead of ad hoc prompts, and defects surface during evaluation rather than after release. With 40 skills across 32.4 hours, Training Managers can assign the course in sections over several weeks, use CBT Nuggets Playlists to sequence skills by role or project phase, and rely on Team Reporting so IT Directors can track progress across assigned learners.
AI
Data Leakage Prevention with LLMs
Teams deploying LLM-powered apps handle sensitive data across every layer. This course on Data Leakage Prevention with LLMs gives security engineers and platform teams the controls to detect, classify, and block exposures before they reach a model. Security engineers, IT practitioners, developers and platform teams will learn to detect and classify sensitive data, redact it before it reaches a model, and apply permissions to RAG retrieval. They will also learn to test for prompt injection, secure multi-turn conversations and AI agents, filter outputs, and protect AI logs. Once your team has completed this course, they will have designed an end-to-end LLM data protection system for the organization, and be ready to respond to an AI data leak with a defined process. About 11.5 hours per learner, this course fits into your team's flow of work, so they can learn as they go. Training Managers can assign the course through Playlists and track completion with Team Reporting, giving them full visibility into team progress.
AI
Deep Learning
This Deep Learning course equips junior data scientists with the skills to implement deep learning solutions for image data, text classification, and time-series predictive modeling. Learn to use TensorFlow for computer vision (CV), natural language processing (NLP), and explore Large Language Models (LLMs). Ideal for onboarding new data scientists or as a data science reference resource.
AI
Microsoft Copilot
Microsoft Copilot is built into the tools you use every day: Excel, Word, and PowerPoint. But to get real value, you need to know how to guide it. This training shows you how to create documents instantly with Microsoft Word AI, analyze data and formulas in Excel, and design complete presentations in PowerPoint. You’ll also learn to use Copilot Chat for prompts and image generation, and avoid the common mistakes that waste time. With the right inputs, Copilot becomes an AI partner that helps you save hours, sharpen your work, and boost productivity across Microsoft 365.
AI
Prompt Engineering
AI is only as good as the prompts you give it. Learn how to engineer prompts the right way, and get better results from LLMs like ChatGPT, Gemini, and Claude. In this course for everyday AI users, you’ll learn prompt engineering best practices that turn AI from a guessing game into a reliable tool. Lay down guardrails, reuse AI prompt templates, and shape responses for tone, structure, and audience. Compare ChatGPT, Gemini, and Claude to discover what each model does best. By the end of this training, you’ll get more accurate outputs, and walk away with an AI toolkit you can start using on the job. Get accurate content, save time, and safely use AI in your natural flow of work.
AI
Secure AI Adoption and Deployment
Most development teams can connect a model API and produce an impressive demo in an afternoon. The risk for IT Directors starts when that prototype becomes a production system without an architecture, evaluation process, or security review behind it. This course treats secure AI adoption as an engineering problem: the incidents that expose data or break systems usually trace back to the surrounding system, not the model. Built for Python developers and entry-level AI engineers, including traditional software engineers without a machine learning background, the course walks through one AI application assembled skill by skill. Engineers add retrieval, tools, agents, evaluation, guardrails, security controls, and observability to that same system. They learn to separate probabilistic model behavior from deterministic application controls and to run a documented go/no-go architecture review before rollout. For Team Leads and Training Managers, the 16 modular skills (12.5 hours) fit a staged team plan. Engineers with AI experience can skip foundational segments and focus on evaluation, security, and production operations. The structured review framework, covering trust boundaries, permission flows, and canary releases, also supports internal change control and audit readiness.
Showing 12 of 23 — show allShowing all 23 — show fewer
AI
TensorFlow Developer
Dive into the emerging field of MLOps and create custom AI and machine learning models in this TensorFlow course. This Professional TensorFlow training prepares you to design, deploy, and optimize models using the popular open-source ecosystem. Use this machine learning engineer course to gain valuable TensorFlow AI skills, practical familiarity with machine learning engineering, and the ability to build your own custom machine learning TensorFlow solutions.
AI
Vibe Coding
Vibe coding with ChatGPT and Cursor can empower everyday users to build helpful applications, but only if it’s done safely. This course equips product owners, analysts, and developers with practical strategies to use vibe coding tools effectively while protecting data and reducing risk. You’ll learn how to write prompts that avoid exposing PII, maximize the power of Copilot, apply context-aware prompt engineering, and validate AI-generated outputs. Finally, you’ll see how to hand off reproducible code steps that engineers can trust, turning quick ideas into secure, usable solutions.
AWS
AWS AI Practitioner
Make AI work for you with this AWS Certified AI Practitioner course (AIF-C01), designed for beginners, business leaders, data analysts, and aspiring machine learning engineers. You’ll build a strong foundation in the fundamentals of artificial intelligence and machine learning, using AWS services like SageMaker, Bedrock, Comprehend, Rekognition, Lex, and more. You'll also learn prompt engineering, model evaluation, and responsible AI practices so non-technical teams can confidently guide AI initiatives and adoption. After you complete this AWS Certified AI Practitioner course, you’ll be fully prepared to pass the AIF-C01 exam and earn a valuable foundational AI certification.
CompTIA
CompTIA Data+
This CompTIA Data+ certification training is a perfect data analyst course for beginners. With unlimited practice exams included, this course helps you build skills in organizing information, spotting patterns, and turning data into strategic insights. Starting with the basics of how modern data analysts gather, clean, analyze, and explain data, this Data+ certification training covers common data sources, basic statistics, and visual reporting. It also shows how AI for data analytics is evolving the role, how to work with data responsibly, and how to follow data compliance expectations. Data science expert Jonathan Barrios keeps the course practical and job-relevant, helping you learn data analytics skills you can use right away as you study for the Data+ v2 (DA0-002) exam.
CompTIA
DataAI
Get hands-on with AI, MLOps, and machine learning in this CompTIA DataAI (DY0-001) training for professional data scientists. Formerly known as CompTIA DataX, this course helps you learn core data science skills, including statistics, data modeling, and machine learning. Learn how to deploy deep learning models, build pipelines, and apply computer vision in real-world environments. This online DataAI training prepares you to support advanced data science workflows and pass the CompTIA DataAI certification exam. Train for the future of IT with cutting-edge AI skills.
Data Analytics
Excel 2022 for Data Analysis: Beginners Online Training
This Excel 2022 for Data Analysis: Beginners training covers how to take huge amounts of data or big confusing spreadsheets and use Excel to extract meaningful information that helps make better business decisions.
Data Analytics
Programming for Data Science
Learn Programming for Data Science with Python in this course by data science expert Jonathan Barrios. This training bridges the gap between basic coding and professional data analysis, focusing on the essential programming for data science skills required in today’s market. You'll learn to leverage Python for data science by mastering libraries like NumPy and Pandas for advanced data wrangling, and Matplotlib for data visualization. You'll walk through writing reusable code and object-oriented programming to automate the processing of unstructured data. For aspiring data scientists and analysts, this course provides the technical foundation you need to deliver valuable insights.
Data Analytics
SQL for Data Practitioners
Master the fundamentals of Structured Query Language (SQL) to turn raw data into actionable insights. In this SQL training for Data Practitioners, you will learn to navigate relational databases, write efficient queries to extract specific datasets, and build or modify tables to organize information effectively.
ISACA
Data Science Fundamentals (ITCA)
This entry-level ISACA Data Science Fundamentals training covers the foundations of data analysis, data governance, and data-driven decision-making, and prepares your team for the ITCA Data Science Fundamentals exam. It teaches how to interpret and analyze data with statistical methods that uncover trends and patterns, visualize results with charts and graphs, apply basic data governance practices, and use data to improve business processes. For a Training Manager building data literacy across an IT organization, it is a common starting point: analysts, administrators, and new IT professionals leave with a shared vocabulary for data work and an ISACA certificate that documents it. Individual professionals earn the same ITCA credential.
Python
Python and Pandas for Data Manipulation Online Training
This Python and Pandas for Data Manipulation training teaches how to efficiently manipulate and analyze data from multiple sources. Learn to clean, filter, sort, and combine data to extract insights. Perfect for onboarding data professionals or as a reference for IT teams. Topics include data cleaning, statistics, and visualization for smarter decision-making.
Python
Python for Data Analysis
Master the fundamentals of data analysis with Python, the industry-standard language for data professionals. This entry-level course moves you beyond the basics, equipping you with the practical skills to manipulate, analyze, and visualize complex datasets. Start training to harness the full potential of Python’s data libraries and turn your data into a competitive advantage.
Buyer proof
How Howard County's IT Department Upskilled 80 People, Protected a 600-Server Migration, and Kept Its Training Budget Intact
Local Government · Howard County, MD · 80 employees across 8 disciplines
CBT Nuggets gave Howard County's Department of Technology something bootcamps never could: the flexibility to train on their own time, in their own environments, with hands-on labs and practice exams that actually prepared staff for their everyday job.
- Physical servers migrated to HyperV virtual environments
- ~600
- Distinct technical disciplines under one department
- 8
- License engagement reported to leadership
- 100%
“I include our leadership, so they know that we're engaging with the training. When the budget comes and they see CBT Nuggets, they say: ‘Oh yeah. We keep that.’”
Elizabeth Nwadiuko
Technical Services Manager