
In this lecture you get one simple rule for which free AI assistant takes which HR task, and what the free plans of Claude, ChatGPT, Gemini and Copilot actually include today.
This course is built from six blocks: Claude for HR, ChatGPT and Gemini for HR, prompts and no-code AI agents, AI for each HR function, reviews of AI tools for HR, and the HR foundations you hand over to AI.
The map of the course
A short dictionary for reading older lectures in today's terms
Three questions to ask after every lecture
A self-diagnostic that shows which sections to watch first
Download the Free AI Task Picker and run one real HR task through it this week.
Explore Claude for HR and learn its basic features to streamline human resources tasks. Discover how Claude enhances HR workflows within the Ultimate AI HR course.
Explore onboarding workflows, effective training approaches, and staff development strategies in the Ultimate AI HR course using AI agents such as ChatGPT, Claude, and Gemini.
Explore performance management and HR analytics through AI-powered strategies and tools like ChatGPT, Claude, Gemini, and agents to optimize people analytics.
Explore advanced features of Claude and how to integrate it into HR processes, enabling streamlined workflows within the ultimate ai hr course.
Explore how Claude serves as a working platform for HR, enabling AI-powered support for human resources tasks.
Discover AI HR ops architecture by leveraging Claude projects and cowork to streamline HR workflows and build essential HR skills.
Automate the recruiter's workflow from intake to offer using AI agents and tools like ChatGPT, Claude, and Gemini to eliminate manual work.
Design a cloud-based onboarding project that orchestrates access via MCP, develops four skills, and uses a 30-60-90 plan to automate welcome packs, checklists, and FAQs.
Transform performance reviews and behavioral feedback into structured SBI and STAR assessments with a memory-enabled performance project that preserves employee context across sessions.
Automate policy and people ops inquiries with a 24/7 HR assistant in Slack, using knowledge base and four skills to route to policy lookup, policy drafter, or HR help desk.
Package your people analytics into a single HR plugin that outputs quarterly report on headcount, turnover, and hiring via one command, and learn the plugin architecture, distribution, and 90-day rollout.
Discover how AI-powered tools such as ChatGPT, Claude, and Gemini enhance recruitment enquiries in HR, enabling agents to streamline candidate interactions and decision making.
Learn to craft HR marketing and employer branding prompts using GPT-4, analyze vacancy attractiveness, build an employer brand strategy with OKRs and budgets, and develop a multi-channel content plan.
Explore how compensation, rewards, and benefits drive employee motivation and retention in AI-driven human resources practices.
Explore prompts to map and shape corporate culture and internal communications, including surveys, interviews, focus groups, and observations. Translate values into rituals, artifacts, and actionable communication strategies.
Learn to craft HR documents, templates, and questionnaires using ChatGPT, including an HR strategy template, recruitment templates, and HR audits, plus policy development for international assignments and assignee questionnaires.
Explore prompt architecture by analyzing the anatomy of a prompt that works, organized into seven blocks, to optimize prompts for ChatGPT, Claude, Gemini, and agents in HR.
Design autonomous HR agents by transforming prompts into multi-step workflows with MCP-enabled tools like Gmail, Calendar, and Sheets in n8n, via human-in-the-loop governance for onboarding automation.
Discover how AI agents transform human resources, leveraging ChatGPT, Claude, and Gemini to streamline workflows, decision making, and talent management in the workplace.
Explore ai agents in recruiting within the ultimate ai hr course, highlighting how these agents relate to modern recruitment.
Explore how AI agents adapt to HR challenges, leveraging tools like ChatGPT, Claude, and Gemini to optimize human resources processes.
Discover how AI agents enhance learning strategies in human resources contexts. Learn to leverage tools like ChatGPT, Claude, and Gemini to support personalized instruction and training.
Explore how ai agents enhance engagement and communication in hr, leveraging ChatGPT, Claude, and Gemini to optimize interactions, collaboration, and employee experience.
Explore how Gemini functions as an AI HR assistant, examining its opportunities and limitations to enhance recruitment, employee support, and people analytics in modern workplaces.
Leverage Gemini to enhance learning and development, boost employee performance, and support development through AI-powered insights and agents.
Leverage Gemini for HR analytics to inform management decisions and optimize people strategies within the ultimate AI HR course.
Why “let’s use AI” is the wrong start and “let’s break down the task” is the right one
Three types of HR tasks: one-off, repeating and process
Jobs-to-be-Done decomposition of an HR task into subtasks
Four AI-fit criteria: repeatability, data volume, input and output format, cost of error
Tools: AI-Fit Scorer and Task Decomposition Worksheet
Six AI capabilities: prompt, project, connector or MCP, computer use, scheduled action, vibe coding
Task-by-capability matrix: which capability fits which HR subtask
Recruiting from sourcing to offer mapped to the six capabilities
Common mistakes: a prompt where a project is needed, an agent where a prompt is enough
Tools: Capability Matching Matrix and Six Capabilities Reference
Three levels of AI autonomy: assistive, augmentative, autonomous
Four criteria for a human-in-the-loop checkpoint: risk, reversibility, audit, employee trust
The Human Agency Scale from Stanford research as a frame for autonomy decisions
Performance review: where AI prepares the summary and where HR makes the decision
Tools: AI HR Manager RACI Builder and Human Agency Decision Tree
Why uploading files into a chat breaks down for repeating HR tasks
Three types of HR data: static documents, periodic exports, live systems
Three connection patterns: project upload, connector or plugin, MCP server
Engagement survey analysis, privacy and data minimisation: what not to give AI
Tools: Data Flow Canvas, Connection Pattern Matrix and Data Connection Patterns
Four trigger types: manual, scheduled, event-driven, conversational
Event-driven HR: a new hire in the ATS starts the onboarding flow
Scheduled HR: a weekly pulse survey and a regular retention report
Scheduled or event-driven: choosing by frequency, reaction speed and workload
Tools: Trigger Chain Designer, Trigger Map Canvas and Trigger Selection Guide
Five AI risks in HR: bias, prompt injection, data leakage, hallucination, audit gap
GDPR, the EU AI Act and CCPA at awareness level: why many HR uses count as high-risk
Guardrail patterns: human approval gates, audit log, data masking, input and output checks
Compensation and background checks: where AI can help and where it should not decide
Tools: Compliance Readiness Gate, AI Risk Assessment Worksheet and Guardrails Checklist
One-page AI architecture in seven sections: task, capabilities, roles, data, triggers, guardrails, metrics
End-to-end recruiting case with all layers on one diagram
Fallback patterns for the moments when AI fails
Ten-criteria validation and a brief that IT, legal and the CEO can read
Tools: One-Page Architecture Builder, One-Page Architecture Template and Architecture ValidationChecklist
Five levels of AI maturity in HR: shadow, experimenting, structured, orchestrated, transformed
90-day roadmap: pilot in month one, measure in month two, scale in month three
Pilot metrics and a baseline that show results to leadership
Your own role in 12 months: from running processes to designing solutions
Tools: Maturity & Role Compass, 90-Day Roadmap Template and HR Maturity Self-Assessment
Success criteria before the first prompt and a nine-line prompt skeleton for any task
Task decomposition into a checked chain and iteration with one change per round
Prompt changes for four task types: analysis, research, drafting and brainstorming
Tools: prompt library for four task types and a prompt skeleton card
Exam trainer with 12 scenario questions on Domain 1 (14%), plus flashcards, memory and match games
Five signs of a hallucination, claim audit and source tracing
Completeness, consistency and bias checks, and an audience rewrite with a fact lock
Format choice: inline answer, artifact or table
Human review rule with seven triggers and four review levels
Tools: nine-section output review checklist, exam trainer on Domain 2 (21%) and study games
Chat or Project for recurring work; web search, extended thinking or Research
Six Claude surfaces for finished work: Artifacts, file creation, Cowork, Chrome, Excel, Slack
Four model tiers (Haiku, Sonnet, Opus, Fable) and effort by cost, speed and quality
Restart, summarize or persist a long chat inside the context window
Tools: feature and model picker, exam trainer on Domain 3 (12%) and study games
Current process map, success criteria and a baseline in numbers
Four Claude roles for each step and three human checkpoints in every workflow
Prompt chaining with a check between steps and a two-week pilot with a decision rule
One-page stakeholder brief on value and limits
Tools: workflow redesign map, stakeholder brief, exam trainer on Domain 4 (16%) and study games
Instructions versus knowledge in a Claude Project, written so a new colleague understands them
Knowledge files: names, versions and RAG mode
Connectors with three action permissions and Project sharing with Can view or Can edit
Test prompts and an update log that keep a Project reliable
Tools: Project setup spec, exam trainer on Domain 5 (12%) and study games
Four data sensitivity levels and a personal account versus a company workspace
Anthropic Usage Policy red lines and high-risk areas
Human review and disclosure for decisions about people
Traffic light screen for a use case: allowed, allowed with conditions, not allowed
Tools: use-case risk screen, exam trainer on Domain 6 (15%) and study games
Four-step diagnosis loop for a weak answer
Fixes for generic and off-target answers, invented facts, broken formats and long chats
Platform messages and their documented fixes
Effort, batching and Projects for efficient Claude usage
Tools: diagnosis tree, fix-it prompt pack, exam trainer on Domain 7 (10%) and study games
Seven exam domains and their weights, and how to read multiple-choice and multiple-response items
Weighted readiness score, a readiness scale with three action zones and study hours split by gap
Full mock exam: 60 questions, 120-minute timer, flags, review screen and a score report by domain
Exam-day checklist and retake rules
Tools: readiness scorecard and the 60-question mock exam
This course contains the use of artificial intelligence.
HR can no longer treat AI as optional. Companies expect HR professionals to use Claude, ChatGPT and Gemini in everyday work, from the first job ad to the performance review. This course shows how, task by task, and starts with what you can already do on the free plans of these assistants.
How the course is built
Start Here: which free AI assistant fits which HR task, what the free plans include today, and your own route through the course, with a one-page Free AI Task Picker
AI assistants for HR: Claude for HR, Claude Projects, Skills and Cowork, ChatGPT for HR and Gemini for HR, plus Claude and ChatGPT tracks built for recruiters
Prompts, agents and workflows: advanced prompt engineering for HR, no-code AI agents, Codex agents for resume review and onboarding documents, and how to turn any HR task into an AI workflow
AI by HR function: recruiting, HR business partnering, performance reviews, learning and development, compensation and benefits, people analytics, responsible AI and AI agent security
AI tools reviews: what HR software already does with AI across recruiting, onboarding, performance, learning, rewards and analytics
HR foundations: strategy, culture, engagement, workforce planning, HR metrics, organization design and more, the HR work you will hand over to AI
Certification prep: a section for the Claude certification exam (CCAO-F) on prompting, output evaluation and model choice
Each section stands on its own. Start with the one closest to your daily work and come back for the rest later.
Why this course
Not a single-tool tutorial: Claude, ChatGPT and Gemini are each covered separately, with an honest look at where each one is strongest for HR work
Practical prompts and templates you can use right away in your own HR processes
Coverage across the entire HR function, not just prompting tips
Clear rules for personal data, bias and AI agent access, so you use AI safely
Certificate of completion