This short, practical course teaches you how to transform keyword ideas into actionable insights through discovery, forecasting, and ROI analysis. You’ll learn to identify high-value keywords, apply filters by audience, location, and language, and connect search intent to real campaign goals.

Lesson 1 explores keyword discovery tools and intent types—informational, navigational, and transactional—helping you build a focused keyword playbook. Lesson 2 moves into forecasting, using tools like Google Keyword Planner to analyze impressions, CTR, CPC, and costs, comparing different plans to evaluate ROI. With interactive coaching, discussions, and downloadable worksheets, you’ll gain hands-on experience applying data-driven methods. By the end, you’ll confidently forecast performance, interpret results, and communicate insights that support smarter, measurable marketing decisions.

Search visibility grows when you can spot what competitors are doing right and fix what holds your own site back. In this course, you’ll learn how to use SEMrush to uncover keyword and backlink opportunities, diagnose technical issues, and translate insights into action. Through real-world cases, guided reflections, and hands-on labs, you’ll build the practical skills SEO teams use every day—from analyzing competitor data to running audits that improve performance and collaboration.

In this beginner-friendly course, learners will learn how to recognize different types of keywords — from broad short-tail terms to specific long-tail and AI-driven queries. Learners will see why intent matters and how it shapes search results. Then, they'll practice using AI-powered tools to generate long-tail queries that improve SEO and content planning. By the end, learners will be able to explain keyword differences and create a research-backed list of queries you can apply directly to your work.

This course teaches learners to create SEO content that performs across both traditional search engines and AI platforms. Learners use keyword clusters to map search intent, draft with AI tools for speed, and refine with human edits for EEAT, accuracy, and brand voice. They practice optimizing titles, metadata, schema, and internal links, and apply structured SEO checklists to evaluate and improve content. By the end, learners will confidently produce CMS-ready drafts and professional audits that boost visibility, authority, and engagement across SERPs and AI Overviews, while gaining workflows transferable to real-world marketing.

Learn how to make your pages shine in Google and AI-powered results by mastering five key on-page elements—titles, headings, meta descriptions, alt text, and links. Through hands-on activities and guided reflections, you’ll practice real-world optimizations and create keyword-rich, conversational FAQs that win People Also Ask and AI snippet spots. Perfect for marketers, creators, and entrepreneurs ready to turn content into discoverable, trusted assets.

This course teaches learners how to optimize content so it becomes visible in AI-powered search results as well as traditional search engines.

Focusing on on-page techniques and technical SEO, participants will learn how to apply schema markup, write with answer-first clarity, and use structured FAQs to improve the chances of being cited by generative AI tools like ChatGPT and Google’s SGE. They will also practice diagnosing crawlability issues using Screaming Frog, exporting Issues reports, and prioritizing fixes that ensure crawlers can access high-value content. Through interactive coach reflections, guided readings, hands-on activities, and a graded quiz, learners will combine practical optimization with technical analysis to create content that is both accessible and authoritative. By the end of the course, participants will confidently structure, test, and report on AI-ready content, gaining practical workflows and transferable skills for real-world digital marketing campaigns.

This course teaches learners how to structure and optimize content so it earns recognition in AI-generated responses as well as traditional search engines. Focusing on content clusters and attribution analysis, you will practice designing pillar–spoke structures that build authority and increase the chance of being cited by large language models. Through CMS-based exercises, you’ll learn how to schedule and link content effectively, creating campaigns that signal topical depth and credibility. The course also introduces attribution reporting, showing how to identify high-performing pages, analyze AI mentions, and flag underperformers. You will translate these findings into clear editorial briefings with actionable recommendations for stakeholders. Guided reflections, interactive discussions, and a graded project ensure you connect theory with practice. By the end, you will confidently create, evaluate, and refine AI-ready content strategies that boost visibility, credibility, and measurable engagement across platforms.

In digital marketing, what you can’t see, you can’t improve — and that’s especially true when it comes to the growing stream of traffic arriving from AI tools. As large language models like ChatGPT, Perplexity, and Gemini increasingly surface brand links, marketers face a new challenge: how to track, interpret, and optimize AI-driven web traffic. Track & Optimize AI Traffic Flow is a beginner-level course designed to help marketers and analysts build the technical and strategic skills to do exactly that. Over the course of about three hours, you’ll learn how to make AI referrals visible in your analytics tools, turn raw metrics into actionable stories, and uncover where LLM-sourced visitors drop off in your funnel. The course combines step-by-step walkthroughs, guided discussions, readings, and hands-on practice — so you’re not just learning what to do, you’re learning how to apply it in real workflows. Each lesson builds on the last, moving you from visibility to optimization.