Claude Courses

The AI Business Automation Architect Bootcamp at Barcelona Code School is a four-week, full-time course designed to teach participants how to build a Virtual AI Department using n8n. Delivered both on-campus and remotely, this no-code program focuses on creating AI agents to automate business processes like lead intake, customer interaction, and metrics monitoring. Students engage in hands-on projects, constructing a connected system to demonstrate their skills in AI automation. Before You Learn / Who This Course Is For Career-changers and upskillers seeking AI automation skills Founders and managers interested in business process automation No coding experience required; open to all learners What to Expect Live instruction and collaborative building sessions Independent projects with one-on-one instructor support Daily tasks to automate fictional online school departments What You'll Achieve Build AI agents and automations using n8n Create a portfolio project for job or client demonstrations Gain skills for roles like AI Automation Specialist

NeoTech Academy's 12-week AI Engineering program offers a beginner-friendly, hands-on learning experience. Participants engage in live online classes to build AI agents capable of automating entire workflows. Guided by experienced educator Nick Javaid, the curriculum includes workflow design, API integration, and deployment, culminating in a capstone project to create a functional AI agent. Before You Learn / Who This Course Is For Open to beginners and tech enthusiasts Ideal for aspiring AI Automation Specialists and Workflow Engineers No prerequisites required; interest in AI beneficial What to Expect Live online classes with studio critiques Hands-on labs for integration and automation Capstone project to build a functional AI agent What You'll Achieve Skills to design and deploy AI systems autonomously Preparation for roles like AI Automation Specialist Capability to start freelance automation services

NeoTech Academy's AI Essentials is a 4-week, live, online course offering beginner-friendly, no-code training. Students learn to harness AI tools like ChatGPT and Claude through hands-on exercises and expert instruction. This program focuses on prompt engineering, aiming to enhance productivity and decision-making across various industries. Before You Learn / Who This Course Is For Open to all, no technical background needed Ideal for professionals in education, marketing, law Suitable for anyone seeking AI skills enhancement What to Expect Live online sessions with expert guidance Hands-on practice with AI tools like ChatGPT Includes live demos, guided labs, and mini sprints What You'll Achieve Personalized prompt playbook for immediate use Mastery of AI prompting and workflow optimization Skills applicable across diverse career fields

NeoTech Academy's AI for Software Testing is a 4-week, live online course designed for QA professionals seeking to enhance their skills with AI-powered testing techniques. The program focuses on integrating AI tools into existing workflows, enabling testers to work more efficiently. Participants engage in hands-on projects, guided labs, and collaborative discussions under the guidance of expert instructors. The course culminates in developing an AI-augmented testing framework, preparing graduates for advanced QA roles. Before You Learn / Who This Course Is For Designed for QA professionals seeking advanced skills Ideal for testers wanting to integrate AI into workflows No prerequisites required; experience in QA beneficial What to Expect Live online instruction with expert guidance Hands-on capstone project developing AI-augmented framework Guided labs and collaborative discussions What You'll Achieve Develop AI skills applicable to test automation Qualify for advanced QA roles with higher salary potential

Metana’s Vibe Coding + Full-Stack Fundamentals Bootcamp is a beginner-friendly, online program designed for aspiring developers. This course empowers learners to transform ideas into real applications using AI while understanding the technology behind them. With a focus on building confidence through storytelling and practical projects, participants gain both foundational and advanced coding skills. Before You Learn / Who This Course Is For Ideal for beginners with no coding experience Aspiring developers looking to build real apps No prerequisites required for enrollment What to Expect Self-paced, online learning with interactive projects Focus on AI integration and full-stack development Story-driven approach for engaging learning What You'll Achieve Develop full-stack applications using AI Gain confidence in coding and problem-solving Acquire skills applicable to tech careers

AI for Educators is a practical, self-paced course that teaches teaching staff how to use generative AI in their own teaching and check that the marks and feedback it produces can be defended. Learners work out where AI fits in their teaching, learn which rules apply to them, and write prompts that work from their own rubrics and materials. The course is built around producing real deliverables, with each module yielding a file learners keep, and culminates in a complete teaching deliverable tested for whether the AI tool marks the same work the same way twice. Who This Course is For School teachers, college and university lecturers, instructors, and teaching support staff People who teach inside an education institution Not designed for corporate learning and development teams, who fall under different law What to Expect Self-paced, practical modules that each produce a file you keep Prompt writing based on your own rubric and teaching materials Consistency testing of whether AI marks the same work the same way twice What You'll Achieve A complete, tested deliverable: teaching unit, assessment and rubric, resource set, or feedback bank An AI opportunity list, tested prompt library, and teaching pack with tightened rubric A one-page AI policy for your department

AI for Finance is a self-paced course that teaches finance professionals to apply generative AI to everyday finance work while verifying every figure before it is relied upon. Learners identify where AI fits in their own role, write prompts that work from their own documents, extract figures from invoices, draft commentary, detect unusual entries, fix spreadsheets, and review which compliance rules and audit expectations apply to them. The course is practical and project-based, with each module producing a working file and culminating in a complete finance deliverable that is reconciled, checked, and signed off, with every number traced to a source document. Who This Course is For Controllers, management accountants, FP&A, AP/AR staff, and finance managers in ordinary companies Not designed for banks, insurers, or investment firms under separate regulatory rules Finance staff seeking practical, verifiable ways to use generative AI in daily work What to Expect Self-paced, practical modules covering prompts, invoice extraction, commentary, anomaly detection, and spreadsheet fixes Guidance on applicable rules and what auditors will ask for Core rule throughout: AI never sources a number; every figure traces to a document What You'll Achieve A complete finance deliverable, reconciled, checked, and signed off Kept files: AI opportunity list, tested prompt library, and source-linked reporting pack A compliance and audit-trail checklist to support AI use in finance roles

AI for Marketing is a self-paced course that teaches marketing, content and communications practitioners how to use generative AI for everyday marketing work and how to check its output before publishing. Learners identify where AI fits in their own role, write effective prompts, choose suitable tools, build a marketing strategy and review the EU rules that apply to publishing AI-made content. The course is practical and project-based: each module produces a reusable file, and learners finish by building one complete campaign pack, checked and ready to publish, with no coding, maths or prior AI experience required. Who This Course is For Marketing, content and communications professionals using or about to use AI tools Practitioners rather than developers, with no coding or AI theory required No prior AI experience needed; just a laptop, browser and free chat AI account What to Expect Self-paced, practical modules covering prompting, tool selection, strategy and EU rules Each module produces a reusable file, such as a tested prompt library Focus on checking AI output for accuracy and compliance before it goes out What You'll Achieve A complete campaign pack, built and checked, ready to publish An AI opportunity list, prompt library, marketing strategy and compliance checklist Skills to apply AI in your marketing role while meeting EU publishing rules

AI for Recruiting & Hiring is a self-paced, beginner-level course that teaches HR and recruiting professionals how to apply AI safely across the hiring workflow, with a human checkpoint at every step. Learners use AI to write job ads, screen CVs, generate interview packs, and build their own assistant or agent, while also covering what the EU AI Act requires of HR, including AI-literacy and disclosure duties, banned practices, and the upcoming high-risk regime for hiring AI. The course concludes with learners scoping, building, and testing their own AI-assisted hiring workflow on real sample data. Who This Course is For HR and recruiting professionals responsible for hiring workflows Beginners; no coding, data science, or prior AI experience required Practitioners needing to understand EU AI Act duties for hiring What to Expect Self-paced learning covering AI use from job ads to interviews Coverage of EU AI Act disclosure duties, banned practices, and high-risk rules Final project: scope, build, and test an AI-assisted hiring workflow on sample data What You'll Achieve Use AI to write job ads, screen CVs, and generate interview packs Build an assistant or agent with human checkpoints in each automated step Test for adverse impact and classify hiring use cases under the EU AI Act

Parsity's AI Development course empowers engineers to build production-ready AI systems using Retrieval Augmented Generation (RAG). This self-paced online course covers core concepts, including document ingestion and semantic search, through hands-on projects. Participants will deploy intelligent agents and create a complete RAG application, enhancing their skills for AI-focused engineering roles. Before You Learn / Who This Course Is For Ideal for developers aiming to specialize in AI Engineers transitioning to AI-focused roles Prerequisites: JavaScript/TypeScript knowledge, API familiarity What to Expect Self-paced learning with hands-on assignments Projects include building a RAG application Mentorship and feedback from AI system experts What You'll Achieve Deep understanding of RAG systems and embeddings Skills in deploying and debugging AI applications