AI Model Evaluation & Optimization Training Course
Equips teams to assess, validate, optimize and monitor AI models over their lifecycle using sound metrics, so models stay reliable, fair and worth their cost.
5 Days·Classroom
Builds the skills to design NLP solutions that analyze unstructured text, automate document processing and extract business intelligence from language data.
Free substitution at any time · 30+ days' notice: full refund minus 10%. Cancellation policy
The Natural Language Processing (NLP) Training Course is a comprehensive professional development program designed to provide executives, managers, AI professionals, data scientists, software engineers, and business specialists with the knowledge and practical skills required to understand, develop, and implement Natural Language Processing solutions in modern organizations. As organizations increasingly rely on artificial intelligence to process vast amounts of textual and spoken information, NLP has become one of the most valuable technologies for automating communication, extracting business intelligence, enhancing customer engagement, and improving operational efficiency. Government entities, ministries, public sector organizations, banks and financial institutions, oil and gas companies, healthcare providers, manufacturing organizations, educational institutions, telecommunications companies, and multinational corporations generate enormous volumes of documents, reports, emails, customer interactions, contracts, policies, and knowledge assets every day. Natural Language Processing enables these organizations to analyze unstructured text, automate document processing, classify information, extract valuable insights, perform sentiment analysis, support multilingual communication, improve knowledge management, and enhance digital services while accelerating organizational decision-making. This course focuses on the complete Natural Language Processing lifecycle, including language fundamentals, text preprocessing, tokenization, feature extraction, machine learning techniques, transformer architectures, Large Language Models (LLMs), text classification, named entity recognition, sentiment analysis, machine translation, summarization, conversational AI, enterprise search, information extraction, prompt engineering, responsible AI, governance, cybersecurity, privacy, regulatory compliance, and enterprise implementation best practices. Participants will learn how NLP technologies can solve real business challenges while supporting digital transformation initiatives across multiple industries. The Natural Language Processing (NLP) Training Course combines interactive workshops, practical exercises, enterprise case studies, and internationally recognized best practices to help participants confidently implement NLP solutions within their organizations. By the end of the course, participants will be able to design NLP-driven business applications, automate language-intensive processes, improve customer experiences, optimize enterprise knowledge management, strengthen business intelligence capabilities, and support innovation through advanced language technologies.
Course Outline:
Selected date
London · 11 – 15 Jan 2027 · Classroom
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| City | Dates | Price per Participant | Early Bird | |
|---|---|---|---|---|
CairoScheduled | 2 – 6 Nov 2026 | €3,800 | — | |
Kuala LumpurScheduled | 2 – 6 Nov 2026 | €4,700 | — | |
MilanScheduled | 2 – 6 Nov 2026 | €7,000 | — | |
CasablancaScheduled | 9 – 13 Nov 2026 | €4,700 | — | |
LisbonScheduled | 9 – 13 Nov 2026 | €6,000 | — | |
MunichScheduled | 9 – 13 Nov 2026 | €6,000 | — | |
AmmanScheduled | 16 – 20 Nov 2026 | €4,000 | — | |
DammamScheduled | 16 – 20 Nov 2026 | €4,800 | — | |
LondonScheduled | 16 – 20 Nov 2026 | €5,800 | — | |
MuscatScheduled | 16 – 20 Nov 2026 | €6,300 | — | |
OnlineScheduled | 22 – 26 Nov 2026 | €2,700 | — | |
AmsterdamScheduled | 23 – 27 Nov 2026 | €6,000 | — | |
DohaScheduled | 23 – 27 Nov 2026 | €4,700 | — | |
MadinahScheduled | 23 – 27 Nov 2026 | €4,800 | — | |
DubaiScheduled | 29 Nov – 3 Dec 2026 | €4,700 | €4,230until 9 Nov | |
BakuScheduled | 30 Nov – 4 Dec 2026 | €5,300 | €4,770until 9 Nov | |
MadridScheduled | 30 Nov – 4 Dec 2026 | €6,000 | €5,400until 9 Nov | |
ParisScheduled | 30 Nov – 4 Dec 2026 | €6,700 | €6,030until 9 Nov | |
BangkokScheduled | 7 – 11 Dec 2026 | €6,700 | €6,030until 16 Nov | |
FrankfurtScheduled | 7 – 11 Dec 2026 | €6,200 | €5,580until 16 Nov | |
MakkahScheduled | 7 – 11 Dec 2026 | €4,800 | €4,320until 16 Nov | |
RabatScheduled | 7 – 11 Dec 2026 | €4,700 | €4,230until 16 Nov | |
BarcelonaScheduled | 14 – 18 Dec 2026 | €6,000 | €5,400until 23 Nov | |
GenevaScheduled | 14 – 18 Dec 2026 | €7,300 | €6,570until 23 Nov | |
ManamaScheduled | 14 – 18 Dec 2026 | €5,300 | €4,770until 23 Nov | |
RomeScheduled | 14 – 18 Dec 2026 | €7,000 | €6,300until 23 Nov | |
BerlinScheduled | 21 – 25 Dec 2026 | €6,300 | €5,670until 30 Nov | |
IstanbulScheduled | 21 – 25 Dec 2026 | €5,300 | €4,770until 30 Nov | |
MarrakeshScheduled | 21 – 25 Dec 2026 | €4,700 | €4,230until 30 Nov | |
ViennaScheduled | 21 – 25 Dec 2026 | €6,400 | €5,760until 30 Nov | |
LondonScheduled | 11 – 15 Jan 2027 | €5,800 | €5,220until 21 Dec |
Equips teams to assess, validate, optimize and monitor AI models over their lifecycle using sound metrics, so models stay reliable, fair and worth their cost.
5 Days·Classroom
Explains how large language models work, what they can and cannot do, and how to evaluate and deploy LLM-powered solutions across business functions.
5 Days·Classroom
Covers the full AI model lifecycle, from data preparation and training to evaluation, deployment and ongoing management in enterprise applications.
5 Days·Classroom
Speak with our advisors about upcoming programmes or a bespoke corporate training plan.