The full Skill.re learner app — Discover, course detail, lecture player,
cohorts, squads, certificates, and third-party launches — embedded in one
iframe. Below is the live embed; the buttons drive it via the
SkillreWidget API.
Anonymous — browsing works signed out; partner auto-auth is shown with a demo key
The iframe auto-resizes as you navigate. All in-frame links stay inside the
widget (the sr_embed cookie keeps every hop chromeless).
A single course as a self-contained card (<skillre-card>), fed by /api/course.php.
The iframe and card above render client-side, so their content does
not count toward the host page's SEO. This block is different:
/api/embed-html.php returns plain, first-party HTML — real
<h3> headings, <a> links, descriptions,
and a schema.org ItemList — so the courses become the host page's
own crawlable content. Include it server-side for the
best result; the JS loader below is the progressive fallback.
Server-side (best for SEO) — the HTML is in the raw response:
<?= file_get_contents('https://www.skill.re/api/embed-html.php?limit=6') ?>
What this course is about AI Foundations introduces you to the world of artificial intelligence — where it began, how it works, and how it’s shaping the future. You’ll explore AI’s history, learn how machines make predictions, understand language, analyze images, and learn using neural networks inspired by the human brain. Through a hands-on simulation, you’ll also build and test your own machine learning model, giving you real experience beyond theory. The course concludes with guidance on AI career paths so you can understand the opportunities available in this fast-growing field. As you complete the course, you’ll earn certificates and digital credentials that you can add to your resume, LinkedIn profile, and Credly account to highlight your AI knowledge. You’ll learn how to: Understand core AI concepts and terminology Explore how AI analyzes data, language, and images Build a simple machine learning model Plan how to pursue a career in artificial intelligence What you will learn By the end of this course, you will be able to: Understand the history and evolution of AI Describe important milestones in AI development Understand how advancements in computing, data, and neural networks shaped modern AI Master foundational AI concepts Explain what AI, machine learning, and deep learning are Understand how Natural Language Processing (NLP) helps machines interpret text Recognize how computer vision enables machines to analyze and generate images Understand AI and data fundamentals Define structured, unstructured, and semi-structured data Understand how machine learning models use data to make predictions Describe three ways AI analyzes data Explore practical AI applications Understand how AI processes and creates images Explain generative AI and its impact in today’s world Learn responsible AI principles Understand AI ethics, fairness, transparency, and responsible deployment Get hands-on experience Build and test a machine learning model using IBM Watson Studio Explore how real AI tooling works in practice Explore AI career pathways Learn about roles such as machine learning engineer, data scientist, AI researcher, NLP specialist, and more Understand the skills and learning paths needed to enter the AI field Showcase your learning Earn certificates and digital credentials Add them to your resume, LinkedIn, and Credly profile to demonstrate your AI skills
What this course is about Cybersecurity Basics gives you a simple, accessible introduction to the world of digital security — perfect for beginners or anyone curious about how cyber threats work and how organizations defend against them. You’ll start with short, practical videos that explain what cybersecurity is, why it matters, and what real careers in the field look like. If you want to go further, you can continue into the Cybersecurity Fundamentals digital credential, where you’ll build structured, job-aligned foundational skills that employers value. As you complete the learning path, you’ll earn certificates and digital credentials that you can add to your resume, LinkedIn profile, and Credly account to highlight your cybersecurity readiness. You’ll learn how to: Understand cybersecurity concepts quickly and clearly Explore real threats, attacks, and defensive strategies Build foundational skills to advance into deeper cybersecurity training Explore career options in this fast-growing field What you will learn By the end of this course, you will be able to: Grasp the basics of cybersecurity Get a simple, beginner-friendly overview of what cybersecurity is Understand why cybersecurity is essential in today’s connected world Recognize digital threats and types of attacks Learn how cyberattacks happen Understand the common threats organizations face, including phishing, malware, ransomware, and more Explore high-profile case studies to see how attacks unfold Explore offense and defense perspectives Offense: Learn about threat actors, attack tactics, social engineering, and methods used by cybercriminals Defense: Understand how organizations prevent attacks, detect intrusions, and respond to incidents Build foundational cybersecurity skills Learn key terminology and core concepts Understand common attack methods and how cybersecurity teams defend against them Explore the structured learning in the Cybersecurity Fundamentals credential for job-aligned skills Explore cybersecurity career opportunities Understand what cybersecurity careers look like Learn about typical roles, responsibilities, and required skill sets Discover resources to help you start a career in this fast-growing field Showcase your learning Earn relevant certificates and digital credentials Add them to your resume, LinkedIn, and Credly profile to signal your cybersecurity skills
What this course is about Project Management Essentials gives you a clear and beginner-friendly introduction to how projects are planned, organized, and executed. You’ll learn what project managers do day-to-day, explore the tools and methods they use, and understand what makes projects successful. The learning plan begins with short, practical videos that explain key concepts and real-world responsibilities. If you want to go further, you can continue into Project Management Fundamentals to deepen your skills and earn a verified digital credential that can be added to your resume, LinkedIn, and Credly profile. You’ll learn how to: Understand core project management concepts Plan and structure projects effectively Communicate with teams and stakeholders Apply project management tools in real scenarios What you will learn By the end of this course, you will be able to: Project Management Foundations Understand what projects are Identify the characteristics of projects and distinguish them from day-to-day operations Understand the purpose and value of project management Explore the project lifecycle Identify each phase: initiation, planning, execution, monitoring, and closure Understand how work flows from one phase to the next Planning & Initiation Skills Initialize and plan projects effectively Define scope and project goals Create project charters Plan schedules, budgets, and resources Understand how to assess risks and constraints Use key project management deliverables Work with schedules, budgets, task lists, and charters Apply your learning to real-world project scenarios Team Leadership & Stakeholder Management Lead project teams with confidence Coordinate work across people and roles Support team communication and collaboration Manage stakeholders professionally Communicate expectations clearly Keep everyone aligned through strong communication and relationship-building Showcase your learning As you complete this learning plan and the optional certification module, you’ll earn digital credentials you can add to your resume, LinkedIn, and Credly profile, highlighting your readiness for project coordination or entry-level project management roles.
What this course is about Data Fundamentals is an entry-level course that helps you understand what data is, how it’s collected, and how it’s used in real work. As you complete the course, you’ll also earn relevant certificates and credentials that you can add to your resume, LinkedIn profile, and Credly account to showcase your skills. You’ll learn how to: Tell different types of data apart Check whether data is trustworthy and complete Organize and prepare data so it’s ready for analysis You’ll also get introduced to common data tools and basic methods so you can start doing simple analysis on your own or prepare for more advanced data or analytics courses later. What you will learn By the end of this course, you will be able to: Understand core data concepts Types of data Data quality and common data problems Big data, analytics techniques, and the typical steps in a data analytics process Basics of data visualization Work with real-world data Clean and prepare raw data Spot data issues that could affect decisions Apply simple, practical steps to organize and structure data Understand how data science is used Describe how data science is applied across different industries Identify widely used data science methodologies and the main activities in a typical data science project Explore data careers Recognize the roles, day-to-day work, and skills of data analysts and data scientists Find learning paths and resources to keep building your skills Showcase your learning Earn relevant certificates and credentials Add them to your resume, LinkedIn profile, and Credly account to signal your skills to employers
What this course is about Interview Skills & Professional Presence is designed to help you develop the confidence, clarity, and communication skills needed to excel in interviews. Through guided learning and practical exercises, you’ll learn how to present your strengths effectively, respond to interview questions with impact, and show up with professionalism — giving you a competitive edge in the job market. As you complete the course, you’ll also earn certificates and digital credentials that you can add to your resume, LinkedIn profile, and Credly account to showcase your job-readiness. You’ll learn how to: Understand what employers look for in interviews Communicate confidently and professionally Prepare thoughtful, compelling responses Reduce interview anxiety and improve your overall presence What you will learn By the end of this course, you will be able to: Understand interview formats and expectations Learn the differences between phone, video, in-person, and panel interviews Understand what employers evaluate during each stage Craft strong, confident responses Answer common and behavioral interview questions using proven methods Clearly express your strengths, experiences, and achievements Connect your background to the specific role you’re applying for Present yourself professionally Improve communication, tone, and clarity Use confident and appropriate body language Build a strong professional presence Engage with employers effectively Prepare meaningful questions that show interest and initiative Learn proper follow-up etiquette after the interview Build confidence and reduce anxiety Develop strategies to stay calm, focused, and prepared Practice interview techniques to feel more comfortable and capable Apply your skills to real job-seeking situations Ideal for students, graduates, job seekers, and professionals preparing for new opportunities Gain practical tools to perform at your best in any interview setting Showcase your learning Earn certificates and digital credentials Add them to your resume, LinkedIn, and Credly profile to highlight your interview readiness
What this course is about The Career Planning Foundations course helps you build the mindset and skills needed to navigate your career path with clarity and confidence. You’ll learn how to reflect on your strengths, interests, and values; explore possible roles or industries; and create a structured plan for achieving your career goals. This learning path is designed to support anyone entering the workforce, considering a career shift, or preparing for long-term growth in a fast-changing job market. As you complete the course, you’ll also earn certificates and digital credentials that you can add to your résumé, LinkedIn profile, and Credly account to highlight your career-readiness. You’ll learn how to: Understand your strengths, interests, and working style Explore career paths aligned with your goals Plan and set clear professional goals Build adaptability and a continuous-learning mindset Understand what employers look for in today’s job market What you will learn By the end of this course, you will be able to: 1. Self-Assessment & Reflection Clarify your strengths, skills, interests, and values Identify the work environments and roles that align with who you are Build a deeper understanding of what motivates you professionally 2. Explore Roles & Career Paths Learn about different job families (technical, business, creative, hybrid, etc.) Understand the skills, education, and experience required for various fields Map potential roles that fit your strengths and long-term interests 3. Career Planning & Goal-Setting Set clear short-term and long-term career goals Break goals into actionable steps (learning, skills development, experience-building) Create a personal roadmap for moving from where you are to where you want to be 4. Adaptability & Lifelong Learning Cultivate a mindset that supports reskilling and upskilling as industries evolve Understand how to adapt to new technologies, roles, or workplace expectations Build resilience in a rapidly changing job landscape 5. Professional Readiness & Market Awareness Learn what employers look for in candidates Understand in-demand skills and how to demonstrate them Combine soft skills, self-awareness, and planning to present yourself confidently Build readiness for both current and future job markets Showcase your learning Upon completing the course, you’ll earn digital credentials that can be added to your résumé, LinkedIn, and Credly profile, demonstrating your preparedness and clarity in planning your career journey.
JS fallback (when the host can't run server-side code) —
<div data-skillre-seo data-limit="4" data-prov="skill.re"></div>
then <script src=".../cdn/js/skillre-seo.js"></script>. Rendered live: