Artificial Intelligence Courses

The Part-Time Online Course in Business Data Science is designed to connect business and technical departments through advanced Big Data and AI projects. This flexible program combines self-study with live sessions, offering practical experience and expert guidance. Participants engage in workshops, networking, and career sessions to enhance their career prospects and confidence in data management. Before You Learn / Who This Course Is For Ideal for business and technical professionals No prerequisites required Perfect for those managing big data projects What to Expect Flexible self-study with live expert sessions Includes workshops and networking events Hands-on practice with real-world data scenarios What You'll Achieve Confidence in managing data processes Enhanced career opportunities in data science

The Business Data Analysis Master course is a 6-weekend, online training designed to equip professionals with data analysis skills using advanced technologies. Participants will learn to analyze company data, enhance decision-making processes, and present findings through data visualization and dashboards. The course offers targeted instruction and practical application for aspiring data analysts. Before You Learn / Who This Course Is For Ideal for aspiring data analysts Open to both technical and non-technical backgrounds No prerequisites required What to Expect 6 non-consecutive weekend online sessions Hands-on data analysis and visualization practice Utilize advanced tools and technologies What You'll Achieve Gain practical data analysis skills Improve decision-making capabilities Effectively present data using dashboards

Qwasar's Software Engineering bootcamp offers an intensive online program focusing on C++ programming, Elixir network programming, and more. Delivered through live sessions, this course emphasizes hands-on learning, including recoding the Redis database. Ideal for those seeking practical experience in software engineering, it provides a robust foundation in object-oriented programming and network programming. Before You Learn / Who This Course Is For Aspiring software engineers and developers No prerequisites required Ideal for learners seeking hands-on programming experience What to Expect Live online instruction with expert-led sessions Hands-on projects, including recoding the Redis database Focus on C++, Elixir, and OOP What You'll Achieve Practical coding skills in C++ and Elixir Experience in network and object-oriented programming

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.

Reboot Academy’s Full Stack Web Developer bootcamp is a 26-week, part-time program designed for aspiring developers. The course offers an online format focused on key programming languages like HTML, CSS, and JavaScript, and includes methodologies in UX/UI design. Participants engage in hands-on projects, developing both technical and entrepreneurship skills, culminating in four real-world projects to showcase to potential employers. Before You Learn / Who This Course Is For Aspiring developers with a passion for technology and design No prerequisites required; open to all backgrounds Ideal for those seeking a career change into tech What to Expect Part-time, online format with flexible pacing Hands-on projects in web development and UX/UI design Integration of technology, design, and business skills What You'll Achieve Completion of four real-world projects for portfolio Proficiency in HTML, CSS, JavaScript, and more Foundational skills in entrepreneurship and digital marketing

JanBask's Online QA Training offers a comprehensive curriculum focused on both manual and automation testing techniques. Delivered through real-world project simulations and interactive exercises, this course provides learners with practical experience in crafting test cases and designing test plans. Participants will explore Agile and DevOps methodologies, gaining alignment with modern software development practices. The program also includes guidance on performance testing tools and bug tracking systems, ensuring proficiency in managing software defects. Upon completion, learners receive a recognized QA certification, enhancing career readiness in the competitive software quality assurance landscape. Before You Learn / Who This Course Is For Ideal for aspiring QA professionals and software testers Suitable for both beginners and experienced individuals No prerequisites required; open to all learners What to Expect Self-paced online format with interactive exercises Hands-on learning through real-world project simulations Exploration of Agile and DevOps methodologies What You'll Achieve Receive a recognized QA certification upon completion Gain proficiency in both manual and automation testing Enhance career readiness with resume and interview guidance

This course offers practical preparation for careers in AI and machine learning. Delivered online, it provides a blend of live instruction and self-paced study, focusing on hands-on projects and real-world applications. Students will learn essential AI and ML tools and techniques, enhancing their skills for future career opportunities. Before You Learn / Who This Course Is For Open to aspiring AI and ML professionals Ideal for technical enthusiasts and career switchers No prerequisites; basic programming knowledge beneficial What to Expect Combination of live and self-paced online sessions Hands-on projects and real-world applications Collaborative learning with peer interaction What You'll Achieve Certificate of completion for career advancement Proficiency in AI and ML tools Skills applicable to various tech roles

This AI Agents Bootcamp is an intensive, live online course designed to equip learners with the skills needed to develop AI agents. Through interactive, project-based learning, participants will gain hands-on experience in AI technologies, focusing on practical applications and real-world scenarios. Before You Learn / Who This Course Is For Suitable for technical professionals and enthusiasts Ideal for developers and data scientists No prerequisites required What to Expect Live, interactive online sessions Hands-on projects and real-world applications Focus on AI agent development What You'll Achieve Skills in creating functional AI agents Hands-on experience in AI technologies

This online course provides comprehensive training on managing the machine learning lifecycle. Students will explore key concepts and tools essential for handling ML projects from inception to deployment. The program features a blend of self-paced learning and hands-on projects, ensuring a practical understanding of ML lifecycle management. Before You Learn / Who This Course Is For Designed for technical professionals and aspiring data scientists Ideal for those interested in ML project management No prerequisites required; beginners welcome What to Expect Self-paced online learning with hands-on projects Focus on practical tools for ML lifecycle management Engagement in real-world ML deployment scenarios What You'll Achieve Gain practical skills in managing ML projects Learn tools applicable to ML lifecycle stages

The Machine Learning Developer bootcamp is an immersive, online program focusing on essential skills like data scraping, Python, AWS, Docker, Numpy, and Tensorflow. Designed for aspiring machine learning professionals, the course combines theoretical knowledge with practical applications to align with business objectives. Participants will engage in hands-on projects to solidify their understanding and readiness for real-world challenges. Before You Learn / Who This Course Is For Ideal for aspiring machine learning professionals Suitable for both technical and non-technical backgrounds No specific prerequisites required What to Expect Online delivery with hands-on projects Covers Python, AWS, Docker, and Tensorflow Focus on aligning skills with business objectives What You'll Achieve Develop practical machine learning skills Learn data scraping and model deployment Gain career-ready expertise in essential tools