Modular agenda with time allocations
A session-by-session agenda, speaker notes, and time splits ready to share with L&D and approval chains.
Sample AI curricula for teams
Training overviewFind your team’s
next AI skill.
Explore sample tracks for AI tool users, builders, and leaders. See who each track is for and what it covers, then shape it around your team’s work.
Browse the outlines freely. No form needed to compare tracks.
Six starting points
Choose a track to see what’s inside.
Start with your audience. Each outline can be adapted or combined with another track after we understand your goals.
1–2 days · Sample track
Practitioner Foundations
For Cross-functional practitioners
Prompting patterns, evaluation habits, and responsible use checkpoints. Works with any LLM stack — Claude, ChatGPT, Gemini, or Copilot.
What your team will explore
- Prompt engineering & regression mindset
- When not to trust confident outputs
- Documentation & escalation habits
We’ll discuss your audience, tools, and timing before recommending a scope.
Make it fit your team
Found a direction? Let’s shape the details.
Share the track or skill you have in mind. We’ll help you match the modules, format, and level to your audience.
Still exploring? Tell us what your team does and where you’d like AI to help.
Our practitioners’ training experience
Platforms our practitioners teach on
Udemy
Coursera
CodecademyFeedback from live learning
A curriculum works when people leave ready to use it.
Participant feedback from live explainx.ai learning sessions—the same build, practise, and reflect rhythm used in custom team curricula.
Your bootcamp was very important to me and I hope we can stay connected. You are a great teacher and person.
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.
Bootcamp Student
Live session participant
I learned so much and felt really empowered by this class. Thank you Yash!
Bootcamp Student
Live session participant
What the team receives
Resources your team can keep using.
The engagement creates reusable material for learners, facilitators, and the people responsible for adoption.
Hands-on lab scripts
Prompt templates, exercise scripts, breakout prompts, and facilitation notes calibrated to your vocabulary and tools.
Governance checkpoints
Sector-appropriate policy and risk guardrails are built into the learning flow, not appended as a disclaimer.
Evaluation rubric
Criteria your L&D team can use to assess comprehension, readiness, and adoption intent after each session.
Pilot backlog template
A prioritised set of use cases with owners, metrics, baselines, and kill criteria—built with participants in the room.
Post-session adoption pathway
On-demand learning resources and an optional check-in help the team keep practising after the facilitated session.
Detailed curricula
Full outlines for specific topics.
Written programmes with modules, outcomes, and prerequisites — for teams that already know roughly what they need and want to see the detail before a conversation.
Agent Harness Engineering
Teaches teams to evaluate and operate agent harnesses as production infrastructure, covering tool design, permissions, sandboxing, and observability.
2 days, instructor-led, in-person or remote
AI Research Methods for Nonprofits
Teaches nonprofit staff to evaluate AI tools and claims rigorously on a constrained budget, rather than to build models.
2 days, instructor-led, in-person or remote
AI Safety and Guardrails for Healthcare Teams
Teaches healthcare teams to find and contain AI failure modes before deployment, with escalation paths designed around clinical risk rather than model accuracy.
2 days, instructor-led, in-person or remote
ChatGPT for Work
Teaches teams to convert ad-hoc ChatGPT use into shared, reviewable workflows using custom GPTs, projects, and data analysis.
1 day core, optional half-day for team rollout and governance
Claude for Work
Teaches non-engineering teams to use Claude for repeatable work — projects, long documents, and shared workflows — rather than one-off chat prompts.
1 day core, optional second day for team workflow design
Google Gemini for Work
Teaches teams to use Gemini where it is genuinely differentiated — very long context and multimodal input — rather than as a generic chat assistant.
1 day core, optional half-day for admin and governance
Loop Engineering for Coding Agents
Teaches engineering teams to design the verification loops coding agents run inside, which matters far more than prompt wording for agent reliability.
2 days, instructor-led, in-person or remote
Microsoft Copilot for Work
Teaches teams to get real value from Microsoft Copilot inside Office apps, focusing on grounding, data readiness, and the tasks where it genuinely pays off.
1 day core, optional half-day for admin and governance
RAG and Retrieval for Legal Teams
Teaches legal teams to build and evaluate retrieval systems where every answer traces back to a verifiable source document.
2 days, instructor-led, in-person or remote
How the curriculum is shaped
From a broad brief to a programme your team recognises.
Discovery happens before the detailed content is built, so examples and exercises reflect the organisation instead of a generic AI syllabus.
Start the conversation- 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
Stakeholder interviews & day-in-the-life context
Short conversations with practitioners (not only leadership) so scenarios reflect real workflows—not generic slide demos.
- 3
Curriculum design & artifacts
Modular agenda, exercise scripts, evaluation rubrics, and governance checkpoints matched to your vocabulary (banking, FMCG, engineering, etc.).
- 4
Engaged, hands-on delivery
Facilitation-led sessions with live exercises, breakout prompts, and documented failure modes—minimum passive lecture time.
- 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.
Sector context
The language and guardrails change by industry.
We adapt scenarios, data boundaries, governance questions, and expected outcomes to the sector after discovery.
banking & financial services
FMCG
healthcare
IT & software
manufacturing
consulting
retail
pharma
logistics & supply chain
media & entertainment
legal & compliance
government & public sector
Before you share it internally
Curriculum questions
What is a sample curriculum, and how does it differ from the actual programme?
These samples show the likely module structure, objectives, and content depth. The actual programme is scoped after discovery so its language, scenarios, lab material, and governance examples fit your organisation.
Can I share a sample curriculum with L&D or procurement?
Yes. The outlines are designed to make internal conversations easier. We can also prepare a concise, scoped agenda after the discovery call.
How long does curriculum design take?
After discovery and a small number of stakeholder interviews, a custom agenda with module detail is typically ready in 5–10 business days. Urgent timelines are assessed case by case.
Do you support multiple cohorts running the same curriculum?
Yes. A programme can be delivered across parallel cohorts, sites, or time zones, or transferred to internal facilitators through a train-the-trainer format.
Can tracks be combined for different audiences?
Yes. For example, an executive briefing can set direction before a practitioner workshop. We design the thread between sessions so priorities and terminology remain consistent.
Which industries can the curricula support?
Programmes can be adapted for banking, FMCG, healthcare, pharma, software, consulting, retail, manufacturing, logistics, media, legal, government, and other sectors after discovery.
Need a curriculum your stakeholders can review?
Tell us who is learning, what should change, and when the programme needs to run. We will recommend a suitable starting track.