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Certified Talent Acquisition Professional Course

24-hour program across 3 intensive weekend days

10 modules across Vskills talent acquisition framework

Certification preparation with timed mock examination

Skill-building in LinkedIn & multi-channel sourcing

Recruitment analytics & AI automation practice

Hands-on Industry Simulation & Automation Sandbox

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GoogleGoogle4.5/5
3284 EnrolledEnrolled Learners

Overview

What we are going to teach you:

  • Aligning talent acquisition strategy with business objectives, hiring priorities, and workforce demand
  • Forecasting talent demand and supply, identifying workforce gaps, and developing gap-closure plans
  • Conducting job analysis and creating clear job descriptions and specifications for different roles
  • Building multi-channel sourcing strategies using LinkedIn, social media and internal recruitment channels
  • Designing employee value propositions and employer branding plans that support talent attraction
  • Applying compensation benchmarking, total rewards and offer-structuring principles
  • Analysing employee churn, retention and engagement using structured frameworks and workforce data
  • Designing employee experience and onboarding journeys that support retention
  • Calculating recruitment KPIs, analysing hiring funnel performance and building dashboards for stakeholders
  • Evaluating recruitment AI, automation, ATS and video interviewing tools with attention to fairness, transparency and human oversight

Upcoming sessions

Curriculum

1

Business strategies and hiring alignment

2

Talent management philosophy overview

3

Build, buy, borrow talent models

4

Strategic hiring decision frameworks

5

Recruitment vs. talent acquisition distinction

AI Integration

AI Integration

  • Analyze how AI-powered workforce intelligence tools surface strategic talent gaps from business data.
  • Support strategic hiring decisions using AI labor market trend analysis and demand forecasting outputs.
1

End-to-end talent planning process

2

Forecasting demand: trend and ratio analysis

3

Forecasting supply: Delphi and estimates

4

Workforce segmentation and scanning

5

Talent gap management and action planning

AI Integration

AI Integration

  • Analyze workforce supply and demand patterns using AI-driven scenario planning and predictive modelling tools.
  • Support talent gap identification by applying AI-generated labor market data to internal headcount projections.
1

Job analysis methods and data collection

2

Job design principles and QWL factors

3

Writing job descriptions and specifications

4

Job evaluation: ranking and pointfactor

5

Internal equity and compensation banding

AI Integration

AI Integration

  • Analyze existing job descriptions using AI writing tools to identify bias, gaps, and clarity issues
  • Support job specification design by using AI-generated competency libraries and role benchmarking data.
1

End-to-end recruitment process mapping

2

Internal and external sourcing approaches

3

Social media recruitment strategy

4

LinkedIn Boolean search and InMail outreach

5

Employee induction and time-toproductivity

AI Integration

AI Integration

  • Analyze candidate profiles at scale using AI-powered sourcing and matching tools for pipeline efficiency.
  • Support outreach personalization by using generative AI to draft InMail and social recruiting messages.
1

Employer branding basics and business case

2

EVP components and design process

3

Brand audit and candidate persona mapping

4

LinkedIn as an employer branding platform

5

Managing brand across the candidate lifecycle

AI Integration

AI Integration

  • Analyze employer review data from platforms using AI sentiment tools to identify brand perception gaps
  • Support EVP content creation by using generative AI to draft employee stories and brand messaging.
1

Wage determination and market benchmarking

2

Individual, team, and organisational incentives

3

Fringe benefits and total rewards design

4

Employee stock options and ESOP basics

5

Offer structure and internal equity checks

AI Integration

AI Integration

  • Analyze compensation benchmarking data using AI tools to identify market positioning gaps for target roles.
  • Support offer structuring by using AIgenerated total rewards comparisons across competitor organisations.
1

Churn analysis: voluntary vs. involuntary exits

2

Cost of turnover and retention business case

3

Herzberg two-factor and equity theory application

4

Retention program design and tools

5

Engagement theories, drivers, and measurement

AI Integration

AI Integration

  • Analyze attrition patterns using AI flight-risk scoring models to identify atrisk employee segments early.
  • Support engagement program design by using AI-generated pulse survey insights and sentiment trend data.
1

Employee experience journey mapping

2

Pre-boarding and onboarding experience design

3

Moments that matter across the EX lifecycle

4

EX assessment tools and feedback loops

5

Linking EX design to retention outcomes

AI Integration

AI Integration

  • Analyze new-hire feedback data using AI text analytics to surface recurring onboarding experience gaps.
  • Support EX journey design by using AIgenerated persona insights to personalise key touchpoints.
1

Core metrics: time-to-fill, cost-per-hire, quality-of-hire

2

Source-of-hire effectiveness and ROI

3

Hiring funnel conversion and drop-off analysis

4

Talent lifecycle and workforce capability tracking

5

Building a recruitment dashboard for stakeholders

AI Integration

AI Integration

  • Analyze hiring funnel data using AIpowered HR analytics tools to identify conversion bottlenecks automatically
  • Support dashboard design by using AI visualisation tools to present recruitment KPIs for business stakeholders
1

Video interviewing: async and live formats

2

Recruitment automation and ATS workflows

3

AI in hiring: parsing, matching, bias risks

4

Gig economy and virtual reality in recruitment

5

Vskills exam review across all eleven domains

AI Integration

AI Integration

  • Analyze AI recruitment tool outputs for fairness, transparency, and compliance using structured evaluation criteria.
  • Support responsible AI adoption by applying human oversight checklists to automated screening and matching workflows.

Strategic Talent Acquisition Challenge Across a High-Growth Organisation

Participants take on the role of a Talent Acquisition team at a rapidly scaling cross-industry organisation facing simultaneous pressure to hire across three business units, each with different role criticality, budget constraints, and talent market conditions. The team must align their hiring plan to a business growth strategy, forecast demand and supply gaps, write job documentation for three priority roles, and design a sourcing plan that spans LinkedIn, social media, and internal referrals. They must also define an EVP and employer branding approach that differentiates the organisation in a competitive talent market.

Working through the simulation in structured rounds, participants apply compensation benchmarking to build offer structures, analyse early-tenure attrition data to recommend retention interventions, and build a recruitment dashboard that tracks time-to-fill, cost-per-hire, and source effectiveness. In the final round, they present their endto-end talent acquisition strategy to a simulated HR leadership panel, defending their sourcing choices, analytics findings, and responsible use of AI and automation tools. The simulation mirrors the full Vskills certification framework and reinforces every domain covered across the three training days.

AI-Powered Recruitment Workflow Design and Analytics Practice Environment

Participants work inside a simulated recruitment operations environment where they design and test automated hiring workflows using tools representative of modern talent acquisition practice. They configure ATS workflow triggers for application screening and candidate status updates, set up chatbot-assisted candidate communication sequences, and apply AI-powered resume parsing and matching logic to a live candidate pool. The sandbox is structured around the eleven Vskills knowledge domains, so every automation task connects directly to a topic covered in the program.

Using generative AI tools, participants draft Boolean search strings, personalise InMail outreach at scale, and generate EVP content for different candidate personas. They also build a recruitment analytics dashboard using structured hiring data, applying AI visualisation support to present KPIs clearly to a business audience. Throughout the sandbox, participants apply human oversight checklists to every automated output, reviewing for algorithmic bias, compliance risk, and candidate experience quality, ensuring that speed and efficiency never come at the cost of fairness or transparency.

Learning Outcomes

After completing the course, you will be able to:

  • 1

    Connect business strategy with talent acquisition priorities and strategic hiring decisions

  • 2

    Build talent demand forecasts, analyse workforce supply and develop plans to address talent gaps

  • 3

    Conduct job analysis and prepare job descriptions, specifications and job evaluation frameworks

  • 4

    Build candidate pipelines through LinkedIn Boolean search, InMail, social media and multi-channel sourcing

  • 5

    Develop an employee value proposition and employer branding plan for defined candidate personas

  • 6

    Benchmark compensation and structure offers using total rewards, incentives and internal equity principles

  • 7

    Analyse employee churn and design retention and engagement interventions for at-risk workforce segments

  • 8

    Map employee experience journeys and identify onboarding and experience gaps that may affect retention

  • 9

    Calculate time-to-fill, cost-per-hire, quality-of-hire and source effectiveness metrics

  • 10

    Build and present recruitment dashboards that support data-informed decisions by HR and business stakeholders

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    Frequently asked questions

    The Certified Talent Acquisition Professional Course is a 24-hour online program delivered across three intensive weekend days. It develops strategic talent acquisition capability across the full hiring lifecycle, covering workforce planning, job analysis, sourcing, employer branding, compensation, retention, employee experience, and recruitment analytics.

    The program includes 10 modules covering the Vskills Certified Talent Acquisition Professional framework. Learning combines concepts with hands-on exercises, case studies, and simulations, followed by certification preparation. The program also includes a 50-question timed mock exam to help participants prepare for the Vskills certification examination.

    The course is designed for HR and recruitment professionals who already have a basic awareness of HR or recruitment processes and want to develop stronger strategic talent acquisition capability. The brochure specifically identifies the following professionals as suitable participants:

    • Talent Acquisition Executives looking to strengthen strategic hiring capability
    • Recruiters who want to improve sourcing, job documentation, and recruitment analytics
    • HR Business Partners seeking to connect talent decisions with business and workforce requirements
    • Sourcing Specialists looking to develop multi-channel and LinkedIn sourcing skills

    The program is particularly relevant for professionals who want to move from reactive hiring towards structured workforce planning, proactive talent pipelines, and data-informed recruitment decisions.

    The program includes video interviewing, covering both asynchronous and live formats, as part of its Talent Acquisition Trends, AI and Certification Readiness module. It also develops structured recruitment practices through job analysis, job specifications, sourcing, candidate matching, and recruitment process design.

    Fairness is addressed particularly in the context of technology-enabled recruitment. Participants evaluate AI recruitment tools and outputs for bias risks, fairness, transparency, and compliance, while applying human oversight to automated screening and matching workflows. This helps participants understand that recruitment technology should support hiring decisions without removing appropriate human judgement.

    AI is integrated throughout the program rather than treated as a standalone topic. Participants use AI-powered workforce intelligence and predictive tools for talent gap analysis, examine job descriptions for bias and clarity, use generative AI for LinkedIn InMail and social recruitment messages, and explore AI-assisted sourcing and candidate matching.

    The Automation Sandbox provides further practice with ATS triggers, chatbot-assisted candidate communication, AI-powered resume parsing and matching, generative AI, and recruitment analytics. Participants apply human oversight checklists to automated outputs and review them for algorithmic bias, compliance risk, and candidate experience quality.

    Yes. The course covers multi-channel sourcing, LinkedIn Boolean search, InMail outreach, and social media recruitment. Participants build LinkedIn search strings and work through a case involving sourcing for a hard-to-fill niche role.

    The program also covers internal and external sourcing approaches and includes a simulation where participants create a multi-channel sourcing plan for a technology hire. AI-powered sourcing and matching tools are also explored for improving pipeline efficiency.

    The program covers 10 modules across the Vskills talent acquisition framework. The curriculum includes Talent Acquisition Strategy, Talent Acquisition Planning, Recruitment of the Right Resources, Recruitment Process and Multi-Channel Sourcing, Employer Branding and EVP Design, Compensation Management, Employee Churn, Retention and Engagement, Employee Experience Design, Recruitment Analytics and Metrics, and Talent Acquisition Trends, AI and Certification Readiness.

    Across these modules, participants work on workforce forecasting, job analysis, LinkedIn sourcing, employer branding, compensation benchmarking, retention, employee experience, recruitment KPIs, AI-enabled recruitment and automation.

    Yes. Responsible use of AI is addressed throughout the program. Participants examine AI-powered sourcing, candidate matching, resume parsing, recruitment automation, and video interviewing, while considering the risks associated with automated hiring decisions.

    The course includes a role-play evaluating an AI screening tool for bias risks and requires participants to assess AI recruitment outputs for fairness, transparency, and compliance. In the Automation Sandbox, human oversight checklists are applied to automated workflows so participants can review algorithmic bias, compliance risks, and candidate experience before relying on automated outputs.

    Yes. Practical application is built into the program. Participants complete hands-on exercises, case studies, and simulations throughout the modules rather than only studying concepts.

    Examples include building a talent demand forecast, drafting a job description, creating a LinkedIn Boolean search string, designing an EVP, structuring a compensation offer, calculating turnover costs, mapping an employee experience journey, and building a recruitment dashboard. The Industry Simulation then brings these capabilities together in a strategic talent acquisition challenge.

    The program includes a dedicated Recruitment Analytics and Metrics module. Participants learn to calculate and interpret core measures such as time-to-fill, cost-per-hire, and quality-of-hire, as well as source-of-hire effectiveness, ROI, and hiring funnel conversion.

    Participants also work with a simulated hiring dataset, analyse sourcing channel ROI, and build a recruitment dashboard for HR leadership. AI-powered HR analytics and visualisation tools are introduced to help identify funnel bottlenecks and present recruitment KPIs clearly to business stakeholders.

    Yes. The program is designed around the Vskills Certified Talent Acquisition Professional framework and includes certification preparation across the knowledge domains covered in the training.

    The brochure states that the Vskills examination consists of 50 multiple-choice questions, has a 60-minute duration, requires a 50% passing threshold, and has no negative marking. The course includes exam review and a 50-question timed mock exam as part of its certification readiness component.

    Participants work on practical recruitment tasks that reflect the program's different knowledge domains. These include a talent demand forecast model, job descriptions and specifications, LinkedIn Boolean search strings, sourcing plans, EVP statements, employer branding plans, compensation structures, retention programs, employee experience maps and recruitment dashboards.

    The Automation Sandbox adds practical exposure to ATS workflow triggers, chatbot-assisted candidate communication, AI-powered resume parsing and matching, generative AI for recruitment messaging, EVP content, and recruitment analytics.

    The program combines strategic concepts with practical application across the talent acquisition lifecycle. Rather than focusing only on individual recruitment activities, participants work through workforce planning, job documentation, sourcing, employer branding, compensation, retention, employee experience, and analytics before bringing these capabilities together in an Industry Simulation.

    Participants can expect practical exposure to:

    • Workforce planning: Build talent demand forecasts, analyse supply and identify workforce gaps
    • Job analysis: Draft job descriptions and specifications using analysis data
    • LinkedIn sourcing: Build Boolean search strings and develop multi-channel sourcing plans
    • Employer branding: Create EVPs, map candidate personas, and plan employer brand campaigns
    • Compensation: Build total compensation structures and benchmark salaries across role levels
    • Retention: Calculate turnover costs and design retention programs for identified risk segments
    • Employee experience: Map new-hire journeys and identify experience gaps
    • Recruitment analytics: Calculate hiring KPIs, analyse funnel performance, and build stakeholder dashboards
    • Industry Simulation: Present an end-to-end talent acquisition strategy to a simulated HR leadership panel
    • Automation Sandbox: Design and test AI-supported recruitment workflows while applying human oversight

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