- info@whitestoneinternationalcollege.org.uk
- +44 20 3727 6493
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Whitestone International College of Innovation delivers quality-assured, standards-aligned programmes that integrate academic rigour, industry relevance, and digital fluency to develop principled leaders who deliver measurable impact.
- London, United kingdom
- +44 20 3727 6493
-
Info@whitestoneinternational
college.org.uk
United States
United Arab Emirates
India
Courses
Professional Certificate in Generative AI Fundamentals: Prompting and RAG
The Professional Certificate in Generative AI Fundamentals: Prompting and RAG builds practical,
jobready skills to design reliable GenAI solutions.
Course Overview
The Professional Certificate in Generative AI Fundamentals: Prompting and RAG builds practical,
jobready skills to design reliable GenAI solutions. The programme blends prompt engineering
patterns, retrievalaugmented generation (RAG) pipelines, evaluation and guardrails, and
lightweight deployment concepts—so teams can move from demos to dependable, valueadding
assistants and analytics copilots.
Why This Course is Important?
- From novelty to utility: Turn chat prototypes into consistent, auditable workflows.
- Grounded answers: RAG reduces hallucinations by citing your own documents and data.
- Safety first: Evaluation and guardrails manage risks (privacy, bias, jailbreaks).
- Career lift: Core GenAI fluency now underpins roles across product, data, and engineering.
Learning Outcomes
By the end of this programme, participants will be able to:
- Explain GenAI concepts (LLMs, tokens, context windows) and when to use prompting vs RAG vs finetuning.
- Apply prompt patterns (role/task/context, fewshot, chainofthoughtlite) and iterate systematically.
- Design a basic RAG pipeline: chunking, embeddings, indexing, retrieval strategies, and answer synthesis.
- Evaluate quality with taskappropriate metrics; implement guardrails for safety, privacy, and policy compliance.
- Prepare a lightweight app plan (APIs, latency/cost tradeoffs, observability) and document limitations and fallback paths.
- Communicate GenAI decisions and risks clearly to stakeholders via short decision memos.
Target Audience
- Product Managers/Owners, Analysts, and UX/Content professionals
- Data/ML/Software Engineers seeking GenAI building blocks
- Operations and enablement teams adopting AI assistants and knowledge bots
Entry Requirements
- Basic analytics/software familiarity recommended; no prior ML required.
- Proficiency in English (IELTS 5.5 or equivalent suggested).
- A laptop suitable for handson labs (setup guidance provided).
Programme Structure & Modules
- LLM basics, tokens, prompting vs RAG vs finetuning
- Usecase framing and success criteria
- Role/task/context, fewshot, style/format constraints
- Iteration loops, test sets, and prompt libraries
- Document prep and chunking; embeddings and vector stores
- Retrieval strategies (topk, MMR), reranking, and answer synthesis
- Offline/online evaluation, golden sets, spotchecks
- Safety policies, PII handling, jailbreak and promptinjection awareness
- Orchestration basics (APIs, tools), latency and cost tradeoffs
- Logging, tracing, feedback loops, and error handling
- Instruction UX, disclosures, fallback/handoff to humans
- Stakeholder alignment and enablement materials
Awarding Body
Whitestone International College of Innovation
United Kingdom
Qualification Type
Professional Certificate - Short Course
(Industry-aligned, regulated qualification issued by Whitestone International College of Innovation, UK)
Delivery Mode
Classroom – London (UK) / Dubai (UAE) campuses
Live Online – Instructor-led virtual sessions
Blended Learning –Prestudy materials + workshops + capstone assignment
Duration
3 days (intensive) or 1 week (parttime)
CPD Hours: 18–21 hours
- Assessment: Practical labs + short knowledge test + capstone demo/memo
- Certification: Successful participants receive the Professional Certificate in Generative AI
- Fundamentals: Prompting and RAG from Whitestone International College of Innovation (UK).
- Reusable prompt patterns, RAG checklists, and evaluation/guardrail templates
- Faster path from prototype to dependable GenAI workflows
- UK issued certificate and clear pathway to Advanced Generative AI & LLM Engineering and Diplomas
Aligned with modern GenAI practices: prompt design patterns, retrievalaugmented generation, evaluation/guardrails, responsible AI and privacy considerations, and lightweight deployment patterns.
Programme Fees
Clear Fee Structure With No Hidden Costs
£
349
Per Course
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Industry-focused programmes with global standards.
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Practical skills for real-world success.
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Academic excellence with career-ready outcomes.
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