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explainx.ai

Live AI training for teams

Help your team
put AI to work.

Live workshops and bootcamps built around your team’s roles, tools, and everyday work. Learn with practitioners, try real workflows, and leave with a clear next step.

In person · Live online · Hybrid

Find the right trainingSee sample curricula
AI-generated illustration of colleagues applying AI tools together

Tools your team uses. Work they recognise.

Our practitioners have taught 350,000+ learners across learning platforms, with training experience including Tata, PayPal, and PwC.

Let’s find the right fit

What would help your team?

Tell us where you’d like to start. We’ll help you choose the format, scope, and next steps.

A starting point, if it helps
Add company, phone, or budget (optional)

No need to have the scope figured out. Prefer email? Contact the training team

Our practitioners’ training experience

Tata logo
PwC logo
PayPal logo
Bajaj Allianz logo

Platforms our practitioners teach on

Udemy logoUdemy
Coursera logoCoursera
Codecademy logoCodecademy

Choose the level of support

Start with the time your team has.

A focused session, a deeper bootcamp, or ongoing support. We’ll help you choose and adapt the content to your team.

013–4 hrs

Executive AI Briefing

C-suite & board

Strategic framing, capability gaps, and a prioritised AI investment thesis leadership can act on the same week.

Discuss this format
024–5 hrs

Half-Day Workshop

Cross-functional · 10–80 people

One domain or use-case cluster, with hands-on exercises and a pilot backlog teams own before they leave.

Discuss this format
037–8 hrs

Full-Day Enablement

Practitioner cohorts

Theory, guided labs, and a governance checkpoint that turns learning into documented workflows and evaluation criteria.

Discuss this format
042–5 days

Multi-Day Programme

Functional teams & AI champions

Role-specific tracks, mentor check-ins, and measurable adoption milestones for teams deploying AI over 30–90 days.

Discuss this format
051–2 days

Train-the-Trainer

Internal L&D leads

Curriculum, exercises, and rubrics that help your facilitators scale enablement without long-term vendor dependency.

Discuss this format
06Flexible

Virtual or Cohort

Distributed teams

Live delivery through Zoom or Teams with asynchronous materials and the same practical, facilitated learning standard.

Discuss this format

Feedback from live learning

The goal is confidence people can use the next day.

Participant feedback from live explainx.ai learning sessions. These are learner reviews, not corporate-client endorsements.

“
Your bootcamp was very important to me and I hope we can stay connected. You are a great teacher and person.
Illustrated avatar accompanying the review by Hugo Ramalho

Hugo Ramalho

Live session participant

“
It REALLY was a lot of fun, but also intense and much to digest after every session. Thanks again Yash Thakker.
Illustrated avatar accompanying the review by Bootcamp Student

Bootcamp Student

Live session participant

“
I learned so much and felt really empowered by this class. Thank you Yash!
Illustrated avatar accompanying the review by Bootcamp Student

Bootcamp Student

Live session participant

What teams can learn

Choose the skills your team will use.

Topics can be combined into role-specific tracks. If the right subject is not listed, the discovery call establishes feasibility.

Explore curriculum tracks
Generative AI fundamentalsFoundation
Prompt engineering & LLM patternsCore
AI agents & autonomous workflowsAdvanced
Claude, ChatGPT, Gemini & CopilotHands-on
RAG, vector search & retrievalTechnical
MCP & tool-use architectureEnterprise
Responsible AI & governanceCompliance
AI for data science & analyticsData
Fine-tuning, evals & model selectionAdvanced
AI in marketing, sales & CXBusiness
Agentic coding: Cursor & Claude CodeDeveloper
AI for legal, finance & riskSector

How delivery works

A clear path from first conversation to practice.

We agree on your goals, adapt the exercises to your team, and define what they should be able to put into practice.

  1. 1

    Discovery call & problem framing

    We align on sponsors, success metrics, and constraints (2026 tool landscape, data rules, procurement gates) before anything is scheduled company-wide.

  2. 2

    Stakeholder interviews & day-in-the-life context

    Short conversations with practitioners (not only leadership) so scenarios reflect real workflows—not generic slide demos.

  3. 3

    Curriculum design & artifacts

    Modular agenda, exercise scripts, evaluation rubrics, and governance checkpoints matched to your vocabulary (banking, FMCG, engineering, etc.).

  4. 4

    Engaged, hands-on delivery

    Facilitation-led sessions with live exercises, breakout prompts, and documented failure modes—minimum passive lecture time.

  5. 5

    Post-session support: documentation & next steps

    Written recap, pilot backlog, links to explainx.ai courses for scaled upskilling, and optional office hours so momentum doesn’t stop at the workshop.

Industry context included

Examples and guardrails that sound like your organisation.

Each track is adapted to the sector’s vocabulary, common workflows, data boundaries, and governance questions.

banking & financial services

How AI is reshaping credit decisioning, fraud detection, and KYC in your markets

FMCG

AI for demand forecasting, trade marketing, and category management

healthcare

Where clinical decision support and documentation AI fit responsibly

IT & software

Agentic AI and what it changes for delivery, security, and architecture

manufacturing

AI for predictive maintenance, quality, and OEE improvement

consulting

How AI changes delivery models, proposals, and client research

retail

AI for personalization, merchandising, and inventory optimization

pharma

AI in drug discovery, clinical operations, and regulatory submissions — realistic horizon

logistics & supply chain

Route optimization, demand sensing, and inventory planning

media & entertainment

Generative AI for ideation, production, and distribution

legal & compliance

Contract review, diligence, and legal research with AI

government & public sector

Citizen service, case work, and knowledge bases with guardrails

Before you enquire

Corporate training questions

How quickly can a programme be scheduled?+

Most half-day and full-day sessions can be scheduled within 2–3 weeks of a discovery call. Multi-day programmes typically need 4–6 weeks for design and stakeholder alignment.

Do you deliver outside India?+

Yes. Virtual delivery is available globally. On-site international engagements are assessed case by case—we confirm feasibility after the initial conversation.

Can the curriculum be customised to our tech stack?+

Yes. Stakeholder interviews help us understand your tools, policies, and workflows so exercises use recognisable scenarios instead of generic demonstrations.

What is the minimum and maximum group size?+

Sessions have ranged from executive groups of 6 to company-wide events of 2,000+. Cohorts of 15–80 usually provide the best interaction. Larger rollouts work well as parallel cohorts or train-the-trainer programmes.

Do you cover AI governance and compliance?+

Yes. Programmes can include governance checkpoints calibrated to the sector, including DPDP and relevant financial-services or insurance requirements.

How is success measured after the session?+

Depending on scope, programmes can include written recaps, a prioritised pilot backlog, evaluation rubrics, and optional 30-day reinforcement.

Is pricing per head or per engagement?+

Pricing is generally per engagement. Share the format, headcount, location, and objectives in the form for a scoped quote.

Start with one useful conversation

What should change for your team after training?

Tell us what your team is working toward. We’ll help you shape a practical starting point and explain the options.

Find the right trainingReview sample curricula