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© 2026 AISOLO Technologies Pvt Ltd

Corporate AI training · In person, virtual, or hybrid

Help your team move from AI interest to useful everyday practice.

Facilitator-led workshops and multi-day programmes tailored to your industry, roles, tools, policies, and the workflows people need to improve.

Request a programmeSee sample curricula
350K+Learners taught
25+Industries
6Delivery formats
12+Topic areas

Led by instructors who have taught 350,000+ learners across major learning platforms and delivered programmes for teams including Tata, PayPal, and PwC.

Start with the outcome

What should your team do differently after the session?

Share the audience, headcount, location, and business goal. We will reply with a suitable format and next steps.

Training experience includes

Tata logo
PwC logo
PayPal logo
Bajaj Allianz logo

Teaching platforms

Udemy logoUdemy
Coursera logoCoursera
Codecademy logoCodecademy

Choose the level of support

One learning standard, six delivery formats.

Start with the time your team has and the change you need. The content is scoped after discovery.

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.

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.

037–8 hrs

Full-Day Enablement

Practitioner cohorts

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

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.

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.

06Flexible

Virtual or Cohort

Distributed teams

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

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

Build a programme around the work, not a tool demo.

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

From a vague training request to a measurable programme.

Every engagement starts with your workflows and constraints, then ends with concrete next steps—not a generic slide deck.

  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?

Share the audience, business goal, and timing. We will recommend the smallest programme that can produce the outcome.

Request a programmeReview sample curricula