
Explore how Gen AI enhances HR and talent management, improving hiring, onboarding, with modules: Gen AI literacy, Gen AI talent acquisition and engagement, and Gen AI workforce planning and compliance.
Gain Gen AI literacy by exploring what Gen AI is, how it works, and its value across industries, including foundation models, UVAS, and the three tiers of usefulness.
Gen AI generates new data using foundation models, with text-based outputs dominating; assess local gains versus global impact, address the uncanny valley of automated self, and navigate adoption responsibly.
Learn to apply three tiers of Gen AI usefulness—Tier 1: summarize, rewrite, ideate; Tier 2: decision support; Tier 3: high-stakes tasks—advancing efficiency while recognizing limits.
Gen AI shifts work from execution to automation and from workers to workflow designers, breaking tasks into sub-tasks with structured reasoning and adding co-creation, validation, and orchestration modes.
Explore the technical underpinnings of Gen AI, including LLMs and foundation models, tokens and embeddings, attention and context windows, plus fine-tuning, LoRA, RAG, and hallucinations.
Identify the seven common pain points in Gen AI adoption for HR and talent management, including unrealistic expectations, tool misfit, output quality, workflow misalignment, disorganization, anxiety, and stochastic degradation.
Explore Gen AI literacy by outlining what Gen AI is and isn't, its capabilities and limits, and how it changes work and management, including delegation, hiring, and talent roadmapping.
Explore how Gen AI augments talent acquisition and management, scaling hiring, onboarding, and policy communications, with use cases in policy writing, onboarding paths, and CV screening, while mitigating bias.
Gen AI accelerates talent operations with candidate screening and ranking, onboarding and learning path customization, and policy drafting, while managing bias, transparency, and policy risk.
Gen AI enhances HR policy drafting and employee communication by translating to plain language, tailoring for audiences, and creating full communication packages, with consistency checks and proactive FAQs.
Gen AI transforms onboarding and learning paths by analyzing gaps, personalizing plans, curating content, and continuously adapting based on progress, with human validation to ensure accuracy and relevance.
Gen AI candidate screening enhances role fit analysis, replacing surface signals with consistent ranking and gap analysis, while flagging bias and prompts, enabling human validation for faster, fairer hiring.
Leverage Gen AI to model workforce needs, automate compliance monitoring, and analyze hiring fairness across HR systems, while mitigating bias and hallucinations.
Gen AI workforce planning empowers hr and talent management by consolidating headcount, skills, attrition, and pipeline data; forecasts demand, analyzes supply, and models scenarios to prioritize actions.
Gen AI turns HR compliance monitoring into continuous cross-system analysis of contracts, employment terms, training, working time, and payroll, flagging inconsistencies and delivering audit-ready summaries with essential human validation.
Explore how Gen AI enhances workforce planning, compliance monitoring, and hiring bias analysis, automating workflows, validating outputs, and reducing false negatives through early detection and fairness interventions.
MANAGING TALENT (AND GEN AI, TOO)
Gen AI is disrupting how organizations attract and develop people. From hiring, to onboarding, performance evaluation, and much more, Gen AI presents very interesting gains.
Nowadays, any modern HR professional has to effectively learn how to use Gen AI to enhance their decision-making (and the employee experience, at the end of the day).
But it's not just about applying it blindly. We have to use Gen AI responsibly, without bias, complying with regulation and laws, and being accountable.
So, how can we use Gen AI effectively across the full HR lifecycle?
That's what we will cover in this course.
LET ME TELL YOU... EVERYTHING.
Some people - including me - love to know what they're getting in a package.
And by this, I mean, EVERYTHING that is in the package.
So, here is a list of everything that this course covers:
You'll learn about Gen AI literacy. How it's impacting the world right now, the 3 tiers of Gen AI tasks, what is hype and what is true capability, how Gen AI changes work and workflows, basic technical aspects of models (parameters, context window, embeddings and vectorization, etc), common pain points, and more;
You'll learn about working with Gen AI. The right frame to adopt, the basic components of prompts and how to do prompt engineering, the major modes of working with Gen AI (interfaces, embedded in programs and/or agents), structuring reasoning (including common structures like chains, loops, validation loops), the major types of errors and how to vet them (hallucinations, insufficient outputs, untable outputs, biases), the uncanny and weird effects of using Gen AI (editor syndrome, the "Gendela Effect", etc), key principles to adopt Gen AI at work, and "problems at the joints" (when individual outputs work, but they don't fit together);
You'll learn how to acquire talent with Gen AI and increase engagement, too, including writing policies, onboarding candidates and defining learning paths, and screening CVs and candidates;
You'll learn how to plan workforce needs and comply in workforce activities, including workforce planning, monitoring compliance with various regulatory and legal frameworks, and analyzing bias and fairness in hiring;
MY INVITATION TO YOU
Remember that you always have a 30-day money-back guarantee, so there is no risk for you.
Also, I suggest you make use of the free preview videos to make sure the course really is a fit. I don't want you to waste your money.
If you think this course is a fit, and can take your knowledge of dealing with change to the next level... it would be a pleasure to have you as a student.
See on the other side!