Udemy
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
AI Marketing Automation: Build Your Own Agents, 500+ Tools
459 students

AI Marketing Automation: Build Your Own Agents, 500+ Tools

Tired of a platform that almost fits? Build AI agents, Claude Skills, Gemini workflows and campaigns with no code
Last updated 10/2026
English
English [Auto],

What you'll learn

  • Build your own automation instead of renting a platform that almost fits: take 500+ tools in 93 downloadable resources, presentations plus working files
  • Get our top working files: Skills library and builder, MCP workflow planner, automation ROI calculator, multi-agent workflow designer
  • Copy 124 ready AI prompts for Claude, Gemini, ChatGPT and Codex: content, document analysis, spreadsheets, reports and agents
  • Write reusable Skills in the SKILL file format with ready project templates and Skills bundles, and run them in one click
  • Connect mail, drive, calendar and chat through connectors without a developer, with a workflow planner and setup checklists
  • Set up an agent that works on a schedule, with checks, alerts and rollbacks: an automation playbook and a failure alert toolkit
  • Use Computer Use so an agent operates inside a system that has no API, with a permissions checklist and a build guide
  • Package twenty-plus Skills into a plugin and hand it to your team with a plugin skeleton and a 90-day rollout workbook
  • See 81 services and apps on screen, from a quick look to a detailed demo: Claude, Google Gemini, Codex, Manychat, Canva, Google Ads and more
  • Learn with Mike, the #1 HR instructor on Udemy: 1,800,000+ enrollments, 170,000 students, about 200 books on Amazon

Course content

16 sections • 43 lectures • 21h 35m total length
  • Check Model Drafts: Machine Draft Check13:27

    The lecture starts with real work: you take one draft a model wrote for you this week and run nine checks that decide whether it can go out with your name on it.

    1. This course is built from six disciplines: marketing channels, generation and spreadsheets, documents and standing instructions, building your own system, agents that act, and the wider frame of automation at work.

    2. The map of the course

    3. A simple dictionary for reading lectures from other fields as marketing work

    4. Three questions to ask after every lecture

    5. A short self-diagnostic that shows which sections to watch first

    6. Download the Machine Draft Check and fill in one line after each lecture.

    Tools in this lecture

    Files to download (1)

    • Machine draft check

Requirements

  • Repetitive work you would rather stop doing by hand
  • A paid plan on any major AI assistant, since the platform features need one
  • No coding required at any point
  • Nothing else to buy for the course itself: presentations and working files are attached to the lectures
  • Acceptance that every on-screen example comes from a people function
  • English at intermediate level or above, since all lessons are in English

Description

This course contains the use of artificial intelligence.

Read this before you buy: every on-screen example in this course comes from a people function. You will see job adverts, onboarding packs and headcount reports, not campaigns and customer databases. The examples are the demo data. The architecture is what you take away.

You picked a marketing platform, configured the flows, and it does exactly what its designers imagined and nothing else. Here are 508 tools to assemble the process you actually need: 52 working files, 339 ready-to-use prompts, procedures, templates and checklists, 36 models and methods, and 81 services and apps shown on screen.

Open a lecture, take the prompt or the template, build one working piece this week.

Why the platform almost fits

Marketing automation is normally sold as a platform choice. You pick a system, configure the flows, and then discover that anything sideways needs an integration, a developer and a second subscription. That stopped being the only option. A model, a set of connectors and a scheduler now let you assemble the process you need, without code and without an engineering team.

What changes after this course

You know what each assistant does and refuses to do. You keep standing instructions, knowledge and Skills in projects and stop retyping prompts. Your documents and reports are generated in batches. An agent runs on a schedule, checks its own result and alerts you when something fails. And you know what must never be delegated to an agent.

What is inside: 508 tools, counted lecture by lecture

You do not have to take this number on trust. Open any lecture and read its description: every tool inside is listed there by name.

  • 93 downloadable resources: the lecture presentations plus 52 standalone working files (workbooks, project templates, Skills bundles, prompt libraries, checklists and calculators)
  • 339 ready-to-use tools inside the presentations:
  • 124 ready AI prompts: personalized candidate outreach, job description localization, candidate email triage, recruitment funnel analysis
  • 66 step-by-step procedures and workflows: recruitment email campaign setup, Facebook page promotion, MCP connector setup, scheduled automation setup
  • 47 templates and sample documents: HR marketing performance report, role-task-context-format prompt framework, candidate outreach messages, AI integration roadmap
  • 43 checklists: career website SEO, employer brand style guide, AI process readiness, automation safety checks
  • 27 scorecards, rubrics and matrices: impact-effort prioritization matrix, AI platform selection matrix, Claude interface versus API decisions, ROI × risk × frequency matrix
  • 12 question lists and scripts: employer brand diagnosis, candidate persona research, AI task delegation assessment, AI business case objections
  • 11 formulas and metric sets: recruitment performance metrics, HR AI implementation metrics, AI adoption metrics, screening quality metrics
  • 9 other working tools: chat-project-skill decision tree, policy lookup skill, HR helpdesk skill, people reporting skill
  • 36 models and methods explained with examples: AIDA persuasion framework, remarketing campaign strategy, few-shot prompting, human-in-the-loop oversight
  • 81 services and apps shown on screen, from a quick look to a detailed demo: Claude, Google Gemini, ChatGPT, Codex, Microsoft Copilot, Manychat, Chatfuel, Canva, Midjourney, Google Ads and others

Where the tools are

  • Start here (1 tool). A check for anything a model wrote before it goes out.
  • The marketing surface (2 sections, 55 tools). The site as an entry point, referrals, chatbots, tracking, search, email, video, copy, paid media, social platforms and reporting.
  • Gemini (2 sections, 66 tools). Content generation, document analysis, spreadsheets and choosing what to automate.
  • Claude (2 sections, 114 tools). Safe use, documents, personalised materials, Projects, Skills and connectors.
  • Building your own system (3 sections, 111 tools). A workspace with projects and Skills, a content factory, review workflows, calculations, a self-service assistant and a plugin for the team.
  • Agents (2 sections, 78 tools). A first Codex agent, an agent in the browser, Computer Use, reports, scheduled automation and orchestration of several agents.
  • The wider landscape (4 sections, 87 tools). Assistants and custom agents, analytics, content screening, performance tracking, change, ethics and robotics at work.

Who is teaching

I am Mike, the #1 HR instructor on Udemy, with 1,800,000+ course enrollments from 170,000 students, and the author of about 200 books on Amazon. I built the people system at Preply as it became a unicorn and worked at Wargaming, iDeals and Alfa-Bank across 20 years in HR. I hold PHRi, SHRM-CP and HCI sHRBP certifications and represent HRCI in Eastern Europe. I am also a founder and lead the strategy of my own academy.

I work this way myself. I have several Claude projects: one helps me create new courses, one builds landing pages and holds many rules, instructions and the structure of my site, one creates presentations, and one turns my lectures into books for Amazon. Once I had to prepare ten landing pages for new courses in a week. I was torn: the deadlines pressed, and teaching Claude would take time. I took the time and taught it, and now a landing page takes several minutes instead of several hours.

How to use the course

Start with the first lecture and its check for machine drafts. If you already use an assistant, go straight to the sections on building your own system and on agents. Section and lecture titles show how many tools are inside, and each lecture description lists them by name.

What is included

  • 43 lectures across 16 sections, 21.5 hours
  • 93 downloadable resources: lecture presentations and 52 working files
  • 508 tools across the lessons, including 81 services and apps shown on screen
  • Lifetime access to all materials
  • Active instructor support in the Q&A section
  • A Udemy Certificate of Completion

Where to start

Take one task you repeat every week: a report, a batch of documents, a set of posts. Open the lecture on Claude Projects, take the project template and move this one task into a project with its own instructions. Next week it will take minutes. Enrol now and start your first lesson today.

Who this course is for:

  • Marketers automating content, reporting and database work without engineers
  • Operations specialists whose tools do not talk to each other
  • Founders who cannot justify another per-seat subscription
  • Analysts who assemble the same report every month by hand
  • Agency owners standardising delivery across clients
  • Anyone who has evaluated three automation platforms and liked none of them