Curriculum samples · Built for internal review
Training overviewCompare six track archetypes, their modules, and practical deliverables. We tailor the final curriculum to the audience, workflows, data boundaries, and governance requirements after discovery.
Training experience includes
Teaching platforms
Udemy
Coursera
CodecademySix starting points
A track is a practical starting point, not a fixed syllabus. Discovery determines what stays, changes, or combines with another format.
For C-suite, board, senior leaders
Investment thesis, competitive benchmarking, and governance guardrails. Produces a signed pilot scorecard before participants leave the room.
Example modules
For Cross-functional practitioners
Prompting patterns, evaluation habits, and responsible use checkpoints. Works with any LLM stack — Claude, ChatGPT, Gemini, or Copilot.
Example modules
For Technical leads, product teams
MCP, tool-use patterns, multi-agent orchestration, and human-in-the-loop design. Labs build real workflow prototypes.
Example modules
For Sector-specific teams
Topic-in-industry templates such as generative AI in banking, AI agents for FMCG, or responsible AI for healthcare.
Example modules
For Data science & engineering teams
RAG, vector search, fine-tuning, evals, and model selection with technical depth and production deployment context.
Example modules
For Internal L&D, AI champions
Equip internal facilitators with curriculum, labs, and rubrics to scale AI enablement without ongoing external dependency.
Example modules
Feedback from live learning
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
The engagement creates reusable material for learners, facilitators, and the people responsible for adoption.
A session-by-session agenda, speaker notes, and time splits ready to share with L&D and approval chains.
Prompt templates, exercise scripts, breakout prompts, and facilitation notes calibrated to your vocabulary and tools.
Sector-appropriate policy and risk guardrails are built into the learning flow, not appended as a disclaimer.
Criteria your L&D team can use to assess comprehension, readiness, and adoption intent after each session.
A prioritised set of use cases with owners, metrics, baselines, and kill criteria—built with participants in the room.
On-demand learning resources and an optional check-in help the team keep practising after the facilitated session.
How the curriculum is shaped
Discovery happens before the detailed content is built, so examples and exercises reflect the organisation instead of a generic AI syllabus.
Start the conversationWe align on sponsors, success metrics, and constraints (2026 tool landscape, data rules, procurement gates) before anything is scheduled company-wide.
Short conversations with practitioners (not only leadership) so scenarios reflect real workflows—not generic slide demos.
Modular agenda, exercise scripts, evaluation rubrics, and governance checkpoints matched to your vocabulary (banking, FMCG, engineering, etc.).
Facilitation-led sessions with live exercises, breakout prompts, and documented failure modes—minimum passive lecture time.
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
We adapt scenarios, data boundaries, governance questions, and expected outcomes to the sector after discovery.
Before you share it internally
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.
Yes. The outlines are designed to make internal conversations easier. We can also prepare a concise, scoped agenda after the discovery call.
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.
Yes. A programme can be delivered across parallel cohorts, sites, or time zones, or transferred to internal facilitators through a train-the-trainer format.
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.
Programmes can be adapted for banking, FMCG, healthcare, pharma, software, consulting, retail, manufacturing, logistics, media, legal, government, and other sectors after discovery.
Tell us who is learning, what should change, and when the programme needs to run. We will recommend a suitable starting track.
