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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
Advanced Professional Certificate in Generative AI & Applied LLMs for Analytics (Prompting & RAG)
The Advanced Professional Certificate in Generative AI & Applied LLMs for Analytics prepares
professionals to safely deploy large language models (LLMs)
Course Overview
The Advanced Professional Certificate in Generative AI & Applied LLMs for Analytics prepares
professionals to safely deploy large language models (LLMs) to accelerate analytics, knowledge
retrieval, and decision support.
The programme blends prompt engineering, retrieval-augmented generation (RAG), tool/function
calling, evaluation of LLM outputs, governance & privacy, and lightweight deployment
patterns—so teams can build reliable AI copilots for analysts and business users.
Why This Course is Important?
- Productivity unlock: LLMs dramatically reduce time-to-insight for analysts and executives.
- Risk-aware: Governance, privacy, and evaluation are essential to avoid hallucinations and compliance breaches.
- Competitive edge: Organisations that operationalise GenAI responsibly gain speed and differentiation.
Learning Outcomes
By the end of this programme, participants will be able to:
- Engineer effective prompts and prompt chains for analytics tasks.
- Design RAG pipelines (chunking, embeddings, vector stores) that ground LLMs in trusted data.
- Use tool/function calling to trigger calculations, queries, or workflows.
- Evaluate outputs with rubrics, test sets, and human-in-the-loop review.
- Implement governance & privacy (PII protection, data minimisation, access controls).
- Deploy lightweight GenAI apps and copilots with guardrails and monitoring.
Target Audience
- Analytics/BI Leads and Data Scientists
- Product & Platform Engineers building AI features
- Knowledge Management and Ops Excellence teams
- Consultants enabling GenAI within enterprises
Entry Requirements
- Comfortable with Python/SQL and basic ML concepts.
- Proficiency in English (IELTS 5.5 or equivalent suggested).
Programme Structure & Modules
- LLM capabilities/limits, tokens, context windows
- Prompt patterns and system vs. user prompts
- Safety, privacy, and cost considerations
- Prompt templates, few-shot strategies, and chain-of-thought variants
- Guardrails and constrained generation
- Integration with analytics tasks and document Q&A
- Document ingestion, chunking, embeddings, vector stores
- Query rewriting, reranking, and grounding strategies
- Hybrid search (BM25 + embeddings) and latency trade-offs
- Structured outputs (JSON), schema validation
- Calling SQL/calculation tools; workflow triggers
- Connecting LLMs to BI/data systems
- Output evaluation: reference sets, heuristics, and human review
- Privacy/PII protection, role-based access, and logging
- Deploying lightweight apps; monitoring quality and drift
Awarding Body
Whitestone International College of Innovation
United Kingdom
Qualification Type
Advanced Professional Certificate
(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 –Pre-study resources + hands-on labs + capstone
Duration
5 days (intensive) or 3–4 weeks (part-time blended)
CPD Hours: 40 hours
- Assessment: Working GenAI/RAG prototype + knowledge test
- Certification: Successful participants are awarded the Advanced Professional Certificate in Generative AI & Applied LLMs for Analytics (Prompting & RAG).
- UK-issued advanced certificate recognised internationally
- Toolkits: prompt template pack, RAG blueprint, evaluation rubric kit, governance checklist, deployment playbook
- Immediate impact on analytics speed, knowledge discovery, and stakeholder self-service
Aligned with DAMA-DMBOK data governance, ISO 8000 data quality, emerging AI governance frameworks, and privacy regulations (GDPR).
Programme Fees
Clear Fee Structure With No Hidden Costs
£
475
Per Course
-
Industry-focused programmes with global standards.
-
Practical skills for real-world success.
-
Academic excellence with career-ready outcomes.
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