
An introduction to artificial intelligence and its role in modern recruiting.
Overview of the latest trends and innovations in AI for recruiting.
Examples of successful cases of AI application in recruiting.
Possible risks and challenges when using AI in recruiting.
The future of recruiting: predictions and expectations.
How AI helps to create and optimise job texts.
Using AI to analyse and improve the attractiveness of job adverts.
Automatically creating and optimising images for job postings using AI.
Practical examples and tools.
Recommendations for creating effective job adverts.
How AI is improving the candidate search and selection process.
Tools and algorithms for automated candidate sourcing.
Integration with applicant tracking systems (ATS).
Practical cases of using AI for recruitment.
Effective strategies and best practices.
AI tools to automate candidate sourcing.
Plugins and tools to improve candidate communication.
Automating the process of creating and sending email chains.
Examples of effective sourcing and communication techniques.
Basics of creating personalised messages and emails.
Applying AI to assess candidates and their competencies.
AI technologies in conducting and analysing interviews.
Tools for automatic transcription and analysis of interviews.
Approaches to objective assessment of candidates using AI.
How to avoid bias when evaluating candidates.
The role of AI in building and enhancing employer brand.
Using AI to analyse and improve candidate engagement.
Automating and optimising recruitment marketing.
Examples of successful recruitment marketing strategies.
Planning and measuring the effectiveness of candidate acquisition campaigns.
Create and optimize a recruiter's social media profile to attract passive candidates by building a digital footprint and using ChatGPT to refine headlines, about sections, value proposition, and content plans.
Use ChatGPT to boost employer branding and HR marketing, crafting engaging job postings and brand content that attract top talent and help fill job openings.
Leverage ai recruiting tools to profile candidates and craft targeted search strategies for sourcing and hiring, optimizing outreach and fit throughout the recruitment process.
Explore projects that customize the AI assistant for each job opening and team, aligning AI tools with sourcing and hiring workflows.
Learn to automate recruitment workflows with Claude by using connectors, Chrome extension, and co-work to reduce tab switching, generate drafts, and orchestrate tasks across Gmail, Calendar, and Slack.
Discover tools that automate contact with candidates en masse, from finding emails to multi-touch LinkedIn and email sequences. Compare stand-alone and ATS-integrated options to speed outreach and scheduling interviews.
Explore AI-driven HR ops architecture with Claude projects, Cowork, and skills for HR to optimize sourcing and hiring workflows.
Assembles a one-bundle HR plugin delivering a board-ready quarterly people report from headcount, turnover, and hiring data, using a reusable plugin architecture and a 90-day rollout roadmap.
This intensive IT recruitment course covers six directions and tools across IT industry, technology, people, positions, and recruiters via 10 webinars, culminating in a platform diploma.
Explore IT recruiting essentials, from startup dynamics and the Hacker, Hipster, and Hustler trio to marketers driving growth, pivots, and candidate searches through IT company types and business models.
Develop targeted IT recruitment by understanding e-commerce metrics, front-end and back-end roles, and using GitHub, Stack Overflow, and other tools to identify top developers.
Explore startup recruiting from a senior IT recruiter's view, leveraging pitch decks, cloud knowledge, and developer progression to attract talent, with outreach.
Learn how IT leadership blends product and project management with Spotify-inspired autonomous squads, tribes, chapters, and guilds, uses lean startup cycles, frequent releases, and A/B testing to drive product success.
Discover how IT analytics guides hiring, covering the HIDI cycle, funnels, and metrics, plus structured evaluation tools like GMA tests and scorecards.
Explore the software development lifecycle from idea through deployment and support, including design, development, testing, and quality assurance, with insights on data roles and employer branding.
Explore agile methods, Scrum roles and artifacts, and Kanban alongside big data, machine learning, and artificial intelligence shaping sourcing and hiring.
Learn how IT culture drives recruiting with Netflix’s behavior-focused framework, and explore DevOps, IT security, and effective job offers.
Navigate the IT recruiting IPO finish line, from unicorns and options with vesting to design systems, copywriting, devRel, and analytics that optimize hiring funnels.
This course contains the use of artificial intelligence.
AI recruiting is no longer limited to writing job descriptions with ChatGPT. Modern recruiters need to combine sourcing expertise, structured assessment, candidate experience, analytics, automation and business judgment.
This comprehensive AI Recruiting Masterclass brings these capabilities together in one structured course and professional reference library. It includes ~750 lectures, about 100 sections and more than 382 hours of training covering the complete talent acquisition lifecycle—from workforce planning and candidate sourcing to interviews, onboarding, retention and recruiting leadership.
You do not need to watch every lecture in sequence. Begin with the core AI recruiting sections, then choose the specialist learning tracks that match your role, current challenges and career goals.
What you will learn
Use ChatGPT, Claude, Gemini, Codex, prompt engineering and AI agents in practical recruiting workflows.
Build sourcing strategies with LinkedIn, Boolean search, X-Ray search, OSINT and specialized sourcing tools.
Automate candidate research, personalized outreach, follow-ups and recruiting operations.
Create job profiles, competency models, hiring scorecards and structured interview processes.
Assess candidates through competency-based interviews, assessment centers and evidence-based selection methods.
Improve employer branding, EVP, recruitment marketing, social recruiting and candidate experience.
Measure recruiting funnels, cost per hire, quality of hire, hiring KPIs and recruitment ROI.
Apply people analytics, workforce planning and forecasting to talent acquisition decisions.
Work with ATS, HRIS, recruiting automation, chatbots and AI-enabled HR systems.
Recruit for specialized environments, including IT, game development, executive search, mass hiring and international recruitment.
Lead recruiting teams and collaborate effectively with hiring managers, HRBPs, executives and business owners.
Connect hiring decisions with onboarding, retention, performance management, rewards and organizational development.
A complete learning library
The program includes dedicated sections on sourcing, interviewing, candidate screening, recruitment marketing, employer branding, analytics, HR automation, AI agents, workforce planning, compensation, talent management, leadership, communication and people management.
It also covers the professional skills behind successful recruiting: business acumen, financial thinking, stakeholder management, coaching, feedback, conflict resolution, emotional intelligence and cross-cultural communication.
Who this course is for
Recruiters, sourcers and talent acquisition specialists
Recruitment managers and HR leaders
HR professionals, HRBPs and People Operations teams
Hiring managers, founders and business owners
Employer branding, recruitment marketing and people analytics specialists
Beginners preparing for a recruiting career
How to use the course
Start with the core sections to understand AI recruiting fundamentals. Then select the tracks most relevant to your work—for example sourcing, interviewing, analytics, employer branding, HR technology or recruiting leadership. Apply each framework to a real vacancy or recruiting process as you progress.
AI tools change quickly, so the course focuses not only on specific platforms but also on reusable principles, workflows and decision frameworks. Some demonstrated third-party tools may require separate accounts or paid subscriptions.
After completing the course, you can access your Udemy certificate of completion and guidance for presenting your achievement professionally.