Advanced AI & Analytics in HR: What You’ll Learn (Hands-On) in ET HRWorld’s December Program

HR is no longer only about processes and people practices — it’s increasingly about decision quality. And decision quality today depends on two things:

1. How confidently you understand data

2. How quickly you can apply AI tools responsibly to real HR work

That’s exactly what this edition of The Economic Times HRWorld – Advanced AI & Analytics in HR Certification Program is designed to support: practical capability-building, not theory.

I’ll be leading two highly experiential sessions in the program:

• December 26: Building Data Literacy & Technology Confidence (Experiential)

• December 27: No-Code / Low-Code Solutions for HR Innovation

This blog explains what you can expect, who it’s for, and the hands-on tools we’ll use.

Why This Program Matters for HR Teams Right Now

Across organizations, HR teams are being asked to do more than reporting:

• explain attrition risk early

• interpret hiring funnel inefficiencies

• summarize engagement insights clearly

• support leaders with data-backed actions

• streamline onboarding and internal workflows

The challenge is not lack of dashboards or tools.The challenge is confidence + clarity + application.

This program helps bridge that gap.

Session 1 (Dec 26): Building Data Literacy & Technology Confidence

What we will solve in this session

Many HR professionals can view dashboards — but hesitate when asked:

• “What’s causing this trend?”

• “Is this data reliable?”

• “What action should we take?”

• “How do I summarize this for leadership in 60 seconds?”

This session strengthens the exact thinking needed to interpret HR analytics, ask smarter questions, and communicate insights without overwhelm.

What you will learn (practical outcomes)

By the end of the session, you will be able to:

• interpret key HR dashboards (attrition, hiring, performance, engagement)

• identify patterns, anomalies, and risk signals

• translate metrics into leadership-ready summaries

• build confidence with basic statistical thinking (without heavy math)

• understand what “good data” looks like in HR contexts

Hands-on tools used

We’ll use AI to make analytics interpretation faster and clearer, including:

• ChatGPT (dashboard understanding, insight summaries, KPI interpretation)

• Claude (structuring insights, rewriting dashboard narratives clearly)

• Gemini (explaining metrics, interpreting HR trends, forecasting prompts)

• Copilot (data cleaning guidance, formulas, pivot summaries)

• Forecasting / audit use-cases for trend prediction and sanity checks

This is not about “AI gimmicks.”It’s about making HR analytics usable.

Session 2 (Dec 27): No-Code / Low-Code Solutions for HR Innovation

What we will solve in this session

HR work is full of repeatable workflows:

• onboarding triggers

• form-to-email processes

• documentation and policy updates

• internal requests and approvals

• FAQ handling and knowledge-sharing

Most of these can be streamlined without coding.

This session focuses on building simple HR solutions using no-code tools and AI-driven workflows.

What you will learn (practical outcomes)

By the end of the session, you will be able to:

• prototype HR workflows without writing code

• automate repetitive HR tasks (emails, updates, reminders, triggers)

• build internal HR process hubs for teams

• design HR templates and materials faster

• create simple HR apps for approvals, feedback, and onboarding

Hands-on tools used

We’ll explore and prototype using:

Workflow & Automation

• Zapier (automation for HR triggers, emails, form workflows)

Documentation & Process Hubs

• Notion (HR SOP hub, onboarding pages, team workflows)

Design & Templates

• Canva AI (onboarding templates, HR communication assets)

App & Experience Building

• Glide AI (simple HR apps: onboarding, feedback, approvals)

AI Assistants & Knowledge Tools

• ChatGPT / Gemini (rapid SOP prototyping, policy drafts, workflows)

• Comet by Perplexity (smart HR assistant workflows / knowledge support)

The goal is simple: you should leave with real prototypes and usable frameworks, not just ideas.

Who Should Attend This Program?

This certification is valuable if you are:

• an HR professional who wants data confidence

• an L&D leader enabling HR capability-building

• a TA/HRBP leader wanting faster, clearer decision support

• an HR operations professional streamlining workflows

• a manager expected to report metrics and present insights

No advanced math. No coding background required.Just willingness to learn hands-on.

What Makes These Sessions Different?

I structure sessions so participants can apply immediately:

• real HR use-cases (not generic examples)

• live tool demonstrations and workflows

• templates + prompt structures participants can reuse

• leadership-style summaries (how to speak about data clearly)

• responsible AI usage guidance (privacy, confidentiality, safe inputs)

Responsible AI Use: A Non-Negotiable Element

AI is powerful — but HR work handles sensitive data.

We will also cover:

• what should never be entered into public AI tools

• how to redact or anonymize data safely

• how to validate AI outputs (audit thinking)

• how to avoid copyright / compliance risks in content generation

Responsible usage is built into the workflow, not treated as an afterthought.

Final Note: What You’ll Walk Away With

After these two sessions, you should walk away with:

• stronger confidence in analytics interpretation

• a repeatable structure to summarize HR dashboards

• a practical toolkit of AI + automation options

• no-code HR workflow prototypes you can adapt internally

• clarity on responsible AI usage in HR

If you’re attending, come ready to experiment and build.That’s where the real learning happens.

Want Me to Share a Participant Tool Sheet + Prompt Pack?

If you’re part of the cohort, I can also share a one-page tool overview and a prompt pack aligned with both sessions.

See you in the program.

Parikshit KhannaAI Trainer | HR Automation & Analytics Workshops(Your website links / socials)