Generative AI Foundations & Essentials
capability building,
designed for your organisation.
A custom-built corporate programme for technology professionals, business leads, product managers, analysts, and emerging-tech curious individuals across functions who need a rigorous, vendor-neutral foundation in Generative AI. We design the curriculum around your tech stack, project archetypes, and target business outcomes — delivered by domain-expert trainers and reinforced through AI-evaluated assessments.
A modular syllabus, built to be tailored.
Below is our reference curriculum. Every syllabus we deliver is tailored to your customer-specific requirements — module depth, sequencing, lab environments, and capstone projects are adapted to your team's starting point, tech stack, and target outcomes.
- From rule-based AI through machine learning to generative models — the lineage that explains what's actually new
- What transformers do mechanistically — tokenisation, embeddings, attention, generation — at the depth a non-engineer can use
- The difference between generation, retrieval, classification, and reasoning — and why use case selection depends on it
- Common misconceptions: 'AGI is here', 'AI is conscious', 'AI never makes mistakes' — what the evidence actually says
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Demonstrable skills your team will apply on live projects.
Explain transformer-based GenAI to any audience
From a technical peer to a non-technical executive, with the right level of depth, accuracy, and analogy for each.
Build a working RAG application end-to-end
From document ingestion through embeddings, vector search, retrieval, prompt construction, and grounded generation — with citations.
Score and prioritise GenAI use cases
Apply a published value-feasibility-risk framework to your function's backlog and produce a defensible 90-day roadmap.
Pass GSDC Generative AI Foundation Certification
Two exam attempts included. Cohort pass rate 94% on first attempt.
Lead a GenAI initiative in your function
Equipped to facilitate workshops, evaluate vendors, brief leadership, and shape the GenAI agenda for your area.
Establish your team's GenAI baseline
Cohort produces a shared vocabulary, opportunity register, and operating principles document for the organisation.
Where your team is now vs where they'll be after the programme.
Where most teams start
- ·Aware of Generative AI as a category but unable to articulate how transformer models, embeddings, and inference work
- ·Confused by the model landscape — GPT-5, Claude, Gemini, Llama, Mistral, DeepSeek, Qwen — and unable to choose between them
- ·No framework for evaluating GenAI use cases by feasibility, value, and risk
- ·Limited practical fluency — has never built a working RAG application or fine-tuned a model
- ·Cannot critically evaluate GenAI vendor pitches or product roadmaps
- ·Unfamiliar with responsible-AI obligations under EU AI Act, India's DPDP Act, ISO/IEC 42001
Where they'll arrive
- ✓Working mental model of how transformer-based LLMs function — tokens, embeddings, attention, generation — at the depth needed to design with them
- ✓Vendor-neutral fluency across the major model families with clear judgement on when to use which
- ✓Hands-on capability — has built and demoed a working RAG application, fine-tuned a small model, and written production-grade prompts
- ✓Use-case evaluation framework — can score and prioritise GenAI opportunities for their function or organisation
- ✓Responsible AI baseline — applies the principles, knows the regulations, and embeds guardrails in solution design
- ✓Future-proofing posture — equipped to evaluate new models and patterns as the landscape evolves
Built for L&D outcomes, not seat counts.
Prompt discipline, not prompt luck
Learners move from trial-and-error prompting to named patterns such as role prompting, few-shot, prompt chaining, and self-critique.
Reusable team assets
The programme produces Custom GPTs, reusable workflow templates, and a shared prompt library that teams can govern and scale.
Daily productivity workflows
Labs focus on email, reports, slides, meetings, spreadsheets, research synthesis, and role-based business assignments.
Measured time savings
Capstone workflows document recurring task compression, review-cycle reduction, and before/after productivity improvements.
Responsible enterprise use
Learners practise confidentiality, IP, bias detection, verification checklists, and safe-use protocols before adoption at scale.
Sustainment built in
30-day, 60-day, and 90-day check-ins help learners keep pace as ChatGPT features and frontier models evolve.
A four-milestone path from skill gap to client-ready.
Foundation & baseline
Establish a working mental model of ChatGPT, frontier models, tokens, context windows, hallucination risks, and model-selection trade-offs.
Prompt engineering labs
Learners practise CRISPE, SPEAR, role prompting, constraint-led prompting, few-shot prompting, self-critique, and prompt iteration on real work scenarios.
Custom GPTs & workflow automation
Each learner builds reusable GPTs and connects ChatGPT to productivity tools for email, documents, spreadsheets, meetings, and research workflows.
Capstone & sustainment
Learners demonstrate a personal AI productivity system and continue with prompt-of-the-week, model-of-the-month, and 30/60/90-day check-ins.
Want this curriculum aligned to your tech stack and project archetypes?
Why enterprise teams choose the B2B engagement model.
Domain-expert trainers, not professional presenters.
"My job isn't to teach ChatGPT as a tool — it's to help professionals build repeatable AI workflows, verify the output, and reclaim hours from routine work."
Taught by people who've actually shipped the work.
Built for L&D leaders and their learners.
Who this is for
- ·Knowledge workers who want to apply ChatGPT productively in their daily workflows
- ·Business analysts, consultants, marketing professionals, project managers, and individual contributors
- ·Teams that use ChatGPT for occasional drafting but need reliable, business-grade outputs
- ·Managers looking to establish team-wide prompt standards and safe-use protocols
- ·Organisations that want to automate repetitive work across email, spreadsheets, calendars, and documents
Pre-requisites
- ·No coding prerequisite for business and productivity tracks
- ·Basic familiarity with workplace tools such as email, documents, spreadsheets, slides, and meetings
- ·Willingness to bring real recurring tasks into labs for workflow redesign
- ·Enterprise cohorts should align data-handling expectations before learners use company or client information
Trusted by L&D leaders across the world.
"The programme moved our team from random prompting to a repeatable method. The prompt library and Custom GPTs became assets we could actually reuse."
"The most useful part was workflow automation. Learners took their weekly reports, meeting recaps, and research tasks and reduced hours of repetitive effort."
"Responsible use was handled practically. The team finally understood what can be pasted, what must be masked, and how to verify output before sending it."
Questions L&D teams ask before signing.
The Generative AI Foundations Course can be delivered as a 1-day foundation workshop, 2-day hands-on training, or a custom enterprise program based on your team size, business goals, and required practical depth.