Artificial Intelligence Courses

Modernize your healthcare administration practice with Claude, bringing efficiency and confidence to documentation, analysis, and communication through a personalized workflow built on compliance, HIPAA awareness, and thoughtful AI use.

Put Claude to work across your law enforcement and public safety responsibilities, building a personalized workflow that sharpens documentation, analysis, and communication while honoring professional judgment, data sensitivity, and clear AI use boundaries.

Develop a tailored Claude workflow that empowers you to draft, analyze, summarize, and manage legal work more efficiently, without ever losing sight of attorney review and professional responsibility.

Put Claude to work across every stage of your real estate business, from writing and research to marketing and client communication, with a personalized workflow built for listing-to-close success.

Shape a personalized Claude workflow that gives you an edge at every stage of the sales cycle, from researching prospects and drafting materials to pushing deals forward with greater speed and precision.

Learn how to use generative AI to improve your video and motion projects. Create visual and audio assets, integrate AI tools into your daily workflow, and learn how copyright and data confidentiality work when using AI content.

Learn how to use Microsoft Copilot and its integration into Office apps (365 apps such as Excel, Word, PowerPoint, Outlook, Teams, and OneDrive) to expand your capabilities, save time, and make you more creative/professional.

This hands-on course teaches participants how to use Google Gemini to conduct research, draft content, analyze information, automate recurring tasks, and create a personalized AI workflow with tools such as Gems, Deep Research, NotebookLM, and Google Workspace.

Takeo.ai's Data Science Bootcamp is a comprehensive online program designed for aspiring data scientists. The course covers essential topics such as Python, SQL, machine learning, AI, and deep learning. Delivered in a self-paced format, it combines theoretical knowledge with practical, project-based learning to equip students with industry-relevant skills. Before You Learn / Who This Course Is For Aspiring data scientists and analysts No prior programming experience required Ideal for career switchers or upskillers What to Expect Self-paced online learning format Hands-on projects and real-world applications Focus on Python, SQL, and machine learning What You'll Achieve Comprehensive understanding of data science concepts Practical skills in AI and deep learning Preparedness for data science roles

MakerSquare runs private AI training for company teams in Austin, TX and on-site at your offices. Over three days your team learns to build with Claude on your own tools, data, and workflows — not generic exercises — and leaves with working automation running in your business by the last day. Teams typically automate the recurring work that eats their week: invoice and document processing, CRM logging, report assembly, inbox triage, and prospect research. Also available as a fully custom multi-week program, scoped to your industry and your systems, with a proposal within 24 hours. Before You Learn / Who This Course Is For Teams with real repetitive work and no engineering capacity to automate it. Bring one team or several. A small company might send everyone. A larger one usually starts with the department where the time is actually going, then rolls out from there. Sales teams. Prospect lists that build and enrich themselves. Outreach personalized to each prospect, sent and followed up automatically. Calls recorded, summarized, and logged to the CRM without a rep ever typing notes. The recovered hours go back into selling. Marketing teams. One piece of content becoming a week of channel-ready posts, in your brand voice rather than AI filler. Campaign reports that assemble themselves from live data instead of screenshot decks. Competitor and market monitoring digested into a Monday morning brief. Operations teams. Every meeting auto-summarized and filed where it belongs. Weekly status reports written from your live project data. Invoices, contracts, and intake forms read and extracted into structured data automatically. The recurring time drains stop recurring. Finance and admin. Receipts and invoices processed straight into your books' format, with no manual entry. Recurring reports drafted from your existing spreadsheets. Inbox triage that sorts, prioritizes, and drafts replies for review. Month-end stops eating the first week of the next month. Different team? Customer service, recruiting, legal, HR — if the work happens on a computer, there's a version of this for it. No technical background required on the team. Not the right fit if… You want a lecture or an overview session. Your team builds working tools here. You want your engineers trained. This is for the people doing the operational work. You can't give your team three consecutive days. You want something generic your team could get from an online course. What to Expect Day 1 — Map and learn. Your team learns how the models actually work and how to direct them like an expert rather than a search engine. Then we map your real workflows and pick the ones worth automating first. Day 2 — Build. Your team wires Claude into the tools you already use — Gmail, Slack, your CRM, your spreadsheets — through Composio, and gets the first automations running on live data. Day 3 — Make it hold up. Handle the messy real cases, put things on a schedule, and hand off cleanly so it keeps running after we leave. Your team can explain and maintain everything they built. Delivered at your office, anywhere in Texas, or at our space in Austin. Custom multi-week programs available for larger rollouts or industry-specific work. The tools: Claude, Claude Code, Composio, Exa, Supabase, Vercel, Render, GitHub Actions. All production tools your team keeps using. What You'll Achieve Working automation, running in your business. Not a prototype and not a slide deck. The judgment to keep going. Which problems are worth automating, and when something needs an AI agent versus a simple scheduled automation. Fluency in the tools your team keeps. Claude as a working collaborator, connected to the systems you already run on. A clear picture of what to build next. You finish knowing exactly where the remaining time goes in your business and what it would take to get it back.