Claude Courses

SuperCode's AI Content Creator Bootcamp is a 16-week, part-time online course focusing on generative AI for content creation. Participants will learn to use AI tools to produce professional texts, images, videos, and audio formats. The course emphasizes hands-on practice and strategic tool integration, enhancing digital and creative skills for marketing and content production professionals. Before You Learn / Who This Course Is For Designed for marketing, communication, and design professionals Ideal for those enhancing skills with AI technologies No prerequisites required; open to all levels What to Expect Live online classes with expert instructors Small group setting of 10-12 participants Hands-on projects using AI tools like ChatGPT What You'll Achieve Develop AI-driven content creation skills Gain expertise in storytelling and visual branding Directly applicable skills for professional environments

SuperCode's AI Visual Engineer course is a 24-week, part-time online program designed for professionals seeking to enhance their creative and technical skills with AI tools. The course focuses on the practical application of AI in visual content production, utilizing modern tools like Freepik Spaces and Weavy. Participants learn to create compelling visuals and campaigns, optimize workflows, and adapt graphics to various platforms, all while maintaining stylistic consistency and brand identity. Before You Learn / Who This Course Is For Ideal for marketing, design, and content professionals No prerequisites required Suitable for part-time learners What to Expect Live online sessions in small groups Hands-on projects with expert guidance Focus on practical visual content applications What You'll Achieve Option to earn IHK certification Skills in AI-based graphic generation and workflow development Enhanced ability to create visual campaigns

SuperCode's Automation & Workflow Expert course offers an intensive, full-time online learning experience focused on automation and AI-driven workflows. Participants will gain hands-on experience with tools like Claude, n8n, and more, learning to optimize digital processes and replace repetitive tasks. The course includes live sessions, project-based learning, and expert feedback, ensuring a comprehensive understanding of generative AI and automation techniques. Before You Learn / Who This Course Is For IT professionals and developers without AI knowledge Operations and process managers seeking no-code automation skills Technically inclined individuals from adjacent fields What to Expect Daily live sessions and practical project days Specialized job application coaching included Course is 100% fundable via AZAV or QCG What You'll Achieve Proficiency in generative AI and LLM-based assistants Skills in building agentic pipelines and node-based automations

SuperCode's AI Content Creator Bootcamp is a 16-week part-time course focused on leveraging artificial intelligence for digital content creation. Participants engage in hands-on, project-based learning using tools like ChatGPT, Freepik, and Nano Banana. The course emphasizes practical skills in generating professional texts, images, videos, and audio content, tailored to marketing and creative professionals looking to enhance their AI capabilities. Before You Learn / Who This Course Is For Creative professionals, content creators, and project managers Suitable for media-savvy career changers No specific prerequisites required What to Expect Hands-on sessions with experienced trainers Projects applicable to professional environments Use of modern tools like Nano Banana and Suno What You'll Achieve Skills in professional prompting and content generation Ability to build AI assistants and automation pipelines

MakerSquare's 2-Week AI Builder Intensive teaches non-technical professionals — operators, founders, lawyers, marketers, finance and ops professionals — to build and deploy working AI tools using production software, not no-code platforms. It runs in person in Austin, TX, Monday through Friday from 9am to 3pm for two weeks in small cohorts, and every student builds on their own real data and workflows starting Day 1. Students build a live website or internal dashboard backed by a real database, automations running on their actual work tools, and a working AI agent deployed on a schedule — learning along the way when a problem calls for an agent versus a simple automation — then present a capstone on stage at a public Demo Day at Capital Factory. The stack is production software used in the real world: Claude and Claude Code, Warp, GitHub and GitHub Actions, Lovable / Figma Make, Vercel, Supabase, Composio, Exa, Render, and Obsidian. No coding background is required. Before You Learn / Who This Course Is For Operators and business owners. You know which half of your week should be running itself. Knowing what to automate was never the hard part for you — building it is what wasn't available. Now it is. Professionals and career builders. Marketing, finance, healthcare, law, recruiting. Domain expertise plus the ability to build with AI is the rarest profile in your industry, and it's a moat that doesn't close. Founders and first-time builders. You don't need a technical co-founder to ship the first version. If you can describe the product clearly, you can build it. Doctors, lawyers, marketers, recruiters, and operators have all built here. No coding, no math, no computer science. What you need is basic computer fluency and a real problem from your own work — that problem is what you build on starting Day 1. No interview, no essay, no technical test. Fill out the form, pay tuition, your seat is confirmed within 24 hours. We trust you to know whether this is right for you. Not the right fit if… You're changing careers into a software engineering job. This is not a job-placement program and we don't train developers. You want a certificate more than you want working tools. You want self-paced videos instead of a room full of builders. You can't commit two full weeks in Austin. You'd rather study the theory than ship something. What to Expect Two weeks, in person, on your own work. Monday to Friday, 9am to 3pm, at Capital Factory in Austin. Small cohorts. Afternoons stay yours — the program is built so an urgent thing at work doesn't cost you the day. You bring a real problem and real data from your own work, and you build on it from Day 1. Nothing here runs on a toy dataset or a shared example project. What you build is yours, and it's still running when you get home. Week 1 — Build. How models actually work, and how to prompt like an expert instead of a search engine. Your builder stack: the terminal, GitHub, Claude Code, and a CLAUDE.md that makes Claude work the way you work. Then you build the web thing your project actually needs — a public site or an internal dashboard — and get it live. Then a real database behind it: a live form writing real rows, and the safety rules that keep your data yours. Week 2 — Automate and ship. Agents start Monday. Everyone builds one that runs on a schedule and keeps arriving in your inbox long after the program ends. Then you build your own — automations wired into your real Gmail, Slack, and sheets, or a coded agent, whichever your problem actually calls for. Thursday you make it hold up under real use. Friday is Demo Day. Demo Day. Five minutes on stage at Capital Factory, live demo on real data, in front of Austin builders, founders, operators, and investors. Real questions, real feedback. The tools — every one used in production: Claude — your primary model Claude Code — a full project collaborator in your terminal Warp — the terminal, made usable GitHub + GitHub Actions — version control, and the scheduling that keeps your agent running Lovable / Figma Make — how you build the site or dashboard; Vercel — one-click deployment Supabase — database and backend Composio — connects Claude to Gmail, Slack, and 200+ tools Exa — search, as your agent's eyes Render — hosting for agents and automations Obsidian — your builder's knowledge base What You'll Achieve Deployed, working tools. A live website or internal dashboard at a public URL, backed by a real database. Automations running on your actual work tools. An AI agent on a schedule that keeps doing its job after you leave. All built on your real data — yours to keep using Monday morning. Judgment, not just tools. When a problem needs an agent and when it just needs a well-built automation. Most real problems don't need an agent. Knowing which ones do is what separates people who ship from people who over-engineer, and almost nobody teaches it. Fluency in the real stack. The terminal, version control, deployment, databases, API keys and where they live. Not so you become an engineer — so that no part of building is a black box you have to hand to someone else. How to work with Claude as a collaborator. Expert prompting, CLAUDE.md, driving the conversation yourself instead of pasting someone else's prompts. This is the skill that compounds every month after you leave. Proof. A Demo Day presentation in front of Austin's tech community. A live URL you can show a client, a boss, or an investor. And a certificate of completion for LinkedIn. A cohort. A small group of builders who stay your network, plus lifetime access to the alumni Slack and every future Demo Day.

This 3-day in-person AI training for Product Managers focuses on mastering AI techniques and tools. Participants will learn prompting, build AI agents using Claude, and design scalable AI product features. The course features a blend of theory and hands-on practice with tools like Dust, Basalt, and Lovable. Before You Learn / Who This Course Is For Product Managers and Senior PMs at all levels Ideal for Product Owners and Product Builders No specific prerequisites required What to Expect In-person, intensive 3-day training Hands-on practice with Claude and other tools Real case study on AI feature implementation What You'll Achieve Ability to structure multi-step, reliable prompts Skills to build and deploy AI agents Framework to prototype and scale AI features

This 2-day intensive course is designed for product managers to effectively integrate Claude Code into their workflows. Participants will engage in hands-on activities, including prototyping features, querying codebases, and fixing bugs. Delivered online, the course utilizes tools like Claude Code, GitHub, and Vercel, allowing learners to work on real-world use cases for a practical learning experience. Before You Learn / Who This Course Is For For product managers and tech product builders Not suitable for beginners; AI tool proficiency required Ideal for PMs enhancing coding contributions What to Expect Intensive 2-day hands-on training End-to-end bug fixes using GitHub Prototype development and deployment on Vercel What You'll Achieve By the end of the course, participants will be able to configure and control a Claude Code environment connected to their tools via MCP, diagnose and fix a bug end-to-end and open a pull request on GitHub, turn a product need into a spec-driven, testable prototype and publish it live on Vercel, set up a personal and team-wide 'OS' to keep using Claude Code effectively in their day-to-day PM role.

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.

This business analyst course is designed to equip students for successful careers in analysis. Offered online, it provides a flexible and accessible learning experience. Students will engage in project-based learning, focusing on skills needed to interpret and analyze business data effectively. Before You Learn / Who This Course Is For Aspiring business analysts seeking foundational skills No prerequisites required Ideal for individuals interested in data-driven decision making What to Expect Self-paced online learning with flexible scheduling Project-based activities in real-world scenarios Emphasis on data interpretation and analysis skills What You'll Achieve Gain essential skills for a business analyst role Prepare for career advancement in data analysis

This digital marketing course equips students with essential skills for a career in the industry. Delivered online, it combines self-paced modules with real-world projects to enhance learning. Students will master tools and techniques crucial for successful digital marketing strategies. Before You Learn / Who This Course Is For Designed for aspiring digital marketers Open to non-technical individuals No prerequisites required What to Expect Online, self-paced learning modules Hands-on projects simulating real-world scenarios Use of industry-standard marketing tools What You'll Achieve Certificate of completion to showcase skills Proficiency in key digital marketing techniques Preparedness for entry-level marketing roles