Artificial Intelligence Courses

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

AI: Vibe Code To Production is a practical, end-to-end course that teaches learners how to build and launch AI-powered web applications using the vibe coding approach. The curriculum covers AI-assisted product discovery and MVP planning, AI-driven frontend and backend development, API integration, and deployment of a finished product to the web. Designed for learners with no prior programming or computer science background, the course starts with the basics and progresses through each stage of the product lifecycle, from initial solution planning through building the product foundation, preparing APIs, and launching a working MVP. Who This Course is For Beginners with no prior computer science or programming experience No prior qualifications or technical knowledge required Learners who want to build and launch AI-powered web applications What to Expect Practical, end-to-end curriculum built around the vibe coding approach AI-assisted product discovery, MVP planning, and frontend and backend development API integration and deployment of an application to the web What You'll Achieve Plan products and solutions using AI-assisted discovery methods Build a product foundation and prepare APIs with AI tools Deploy and launch a working MVP on the web

Agentic AI: Intro to Agent Development is a hands-on course on building autonomous AI agents, intended for learners who already have Python, API, and backend engineering experience. The curriculum moves from foundational agent concepts to single-agent application development, then covers agents that use tools and retrieval-augmented generation (RAG), followed by more complex agent workflows. The course concludes with a capstone project focused on production-style agent deployment, giving learners practical experience applying each topic to a complete agent build. Who This Course is For Developers with basic Python skills and familiarity with AI and LLM concepts Learners experienced with REST APIs, HTTP requests, and foundational backend concepts Requires access to a development environment with an IDE, such as VS Code What to Expect Hands-on progression from agent fundamentals to single-agent application development Practice integrating tools and RAG into AI agents Capstone project focused on production-style agent deployment What You'll Achieve Understanding of AI agent fundamentals and complex agent workflows Ability to build single-agent applications using tools and RAG Capstone experience building and deploying a production-style agent

This course teaches web developers to build an end-to-end test suite with Playwright that catches regressions, to measure whether it does, and to use AI tools in QA without trusting them blindly. Across eight modules, learners grow one continuous test suite for Brewbox, a coffee subscription shop app. The suite covers a ranked test charter, reliable journey tests, parallel and isolated structure, error-path, API, visual and accessibility checks, and a CI pipeline. The course is project-based: learners measure their suite's catch rate against 12 practice regressions and its flake rate over 20 consecutive runs, then compare an AI-generated suite against their own. Who This Course is For Web developers who ship features and want to stop shipping regressions QA engineers moving from manual testing, Selenium or Cypress Requires comfort with JavaScript, browser dev tools, npm and Git; not for web development beginners What to Expect Eight modules building one continuous Playwright test suite for the Brewbox app Run your suite against 12 practice regressions and 20 consecutive times to measure flakiness Excludes unit, load/performance and security testing, and native mobile apps What You'll Achieve A complete test suite with measured flake rate and regression catch rate A CI pipeline and a release sign-off tested against regressions Ability to evaluate AI-generated tests against your own suite

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

The Digital & AI Guide course by SuperCode is a part-time, online program designed for professionals eager to navigate digital transformation. It offers live instruction with industry experts and focuses on using AI tools effectively, understanding digital potentials, and supporting transformation processes. Participants will gain practical skills applicable in creative, strategic, and project management roles, even without a traditional IT background. Before You Learn / Who This Course Is For Open to creative, strategic, and project management professionals No programming skills required, curiosity and tech interest essential Ideal for those driving digital transformation in businesses What to Expect Part-time, online live classes with expert practitioners Small group learning with 10 to 12 participants Real-world insights and personalized guidance What You'll Achieve Gain skills to employ AI technologies professionally Develop foundational technical understanding for IT collaboration Learn methods from prompt engineering to automation

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

Product Hall's Tech Toolkit is a flexible online course designed for aspiring software professionals. With dynamic video content and insights from industry leaders like Google, Amazon, and Microsoft, participants will learn about software development, web and mobile apps, APIs, and databases. The course includes real-world case studies, quizzes, and reviews, culminating in a professional certificate. Before You Learn / Who This Course Is For Aspiring software professionals seeking industry insights Ideal for beginners; no prerequisites required Perfect for those interested in tech careers What to Expect Flexible online format with 12 comprehensive sections Video content and interviews with tech industry leaders Quizzes and real-world case studies for practical learning What You'll Achieve Professional certificate upon completion Skills in software development and application design Enhanced understanding of tech industry practices

Deep Dive Coding Bootcamp offers an advanced online experience in data science, data modeling, and machine learning. Participants will engage in hands-on labs and projects to develop skills in programming, modeling, and data analysis. This course equips learners to solve critical business problems and design real-world models for actionable insights. Before You Learn / Who This Course Is For Ideal for professionals in technical fields Designed for those with domain expertise No specific prerequisites required What to Expect Online format with interactive labs Project-based learning for practical skills Focus on data modeling and machine learning What You'll Achieve Ability to design real-world data models Skills in programming and data analysis