Generative AI Models and Applications Course

Master generative AI models, prompting, RAG, evaluation and secure deployment to build grounded, governed and valuable organisational solutions.

Artificial Intelligence and Machine Learning Courses Confirmed

Generative AI Models and Applications Course

Training Outlines

Introduction

Generative AI can create and transform text, images, audio, code and structured information, but a compelling demonstration does not automatically become a reliable business solution. Organisations must select the right model, ground outputs in trusted evidence, evaluate performance against real tasks and control risks such as hallucination, data exposure and prompt injection.

This five-day course gives professionals a technically informed and commercially relevant understanding of generative AI models and applications. Participants will examine foundation-model principles, prompt and output design, retrieval-augmented generation, model adaptation, evaluation and secure deployment. Applied workshops focus on building useful, governed solutions that improve work without creating uncontrolled operational dependence.

Objectives

By the end of this course, participants will be able to:

Explain major generative-model families and capabilities.
Select models using quality, privacy, latency and cost criteria.
Design prompts and structured outputs for reliable tasks.
Ground responses through retrieval and authorised knowledge.
Compare prompting, fine-tuning and model adaptation.
Evaluate factuality, usefulness, safety and consistency.
Control security, privacy and human-oversight risks.
Develop a credible generative-AI implementation case.

Course Content

Day 1: Generative AI Models and Capabilities

Generative versus discriminative artificial intelligence
Autoregressive, adversarial, variational and diffusion models
Transformers, tokens, embeddings and attention
Language, image and multimodal foundation models
Capability limits and probabilistic outputs
Organisational use-case selection workshop

Day 2: Prompt Engineering and Output Control

Prompt objectives, context and constraints
Zero-shot, few-shot and decomposition techniques
System instructions and trusted context
Structured outputs and schema validation
Sampling controls and output variability
Prompt testing and failure analysis

Day 3: Retrieval and Agentic Applications

Retrieval-augmented generation architecture
Document chunking, embeddings and indexing
Lexical, vector and hybrid retrieval
Source grounding and claim traceability
Tool use and bounded agent workflows
Knowledge-assistant design laboratory

Day 4: Model Adaptation and Evaluation

Prompting versus fine-tuning decisions
Adaptation-data quality and governance
Parameter-efficient model adaptation
Factuality, relevance and completeness assessment
Red-team and boundary testing
Cost, latency and value comparison

Day 5: Secure and Responsible Deployment

Prompt injection and data-exposure risks
Human review and escalation controls
Quality, cost and safety monitoring
Version control and regression testing
Adoption and benefits-realisation planning
Capstone generative-AI solution proposal

Training Locations

This Generative AI Models and Applications Course is available in multiple cities. Please select your preferred location from the list below

Durrës

Albania

Tirana

Albania

Andorra la Vella

Andorra

Escaldes-Engordany

Andorra

Innsbruck

Austria

Salzburg

Austria

Vienna

Austria

Gomel

Belarus

Minsk

Belarus

Antwerp

Belgium

Brussels

Belgium

Banja Luka

Bosnia and Herzegovina

Sarajevo

Bosnia and Herzegovina

Plovdiv

Bulgaria

Sofia

Bulgaria

Dubrovnik

Croatia

Split

Croatia

Zagreb

Croatia

Limassol

Cyprus

Nicosia

Cyprus

Brno

Czech Republic

Prague

Czech Republic

Aarhus

Denmark

Copenhagen

Denmark

Tallinn

Estonia

Tartu

Estonia

Helsinki

Finland

Tampere

Finland

Lyon

France

Marseille

France

Nice

France

Paris

France

Berlin

Germany

Frankfurt

Germany

Hamburg

Germany

Munich

Germany

Athens

Greece

Thessaloniki

Greece

Budapest

Hungary

Debrecen

Hungary

Akureyri

Iceland

Reykjavík

Iceland

Jakarta

Indonesia

Cork

Ireland

Dublin

Ireland

Florence

Italy

Milan

Italy

Naples

Italy

Rome

Italy

Osaka

Japan

Tokyo

Japan

Pristina

Kosovo

Prizren

Kosovo

Liepāja

Latvia

Riga

Latvia

Schaan

Liechtenstein

Vaduz

Liechtenstein

Kaunas

Lithuania

Vilnius

Lithuania

Esch-sur-Alzette

Luxembourg

Luxembourg City

Luxembourg

Kuala Lumpur

Malaysia

Malé

Maldives

St. Julian's

Malta

Valletta

Malta

Bălți

Moldova

Chișinău

Moldova

La Condamine

Monaco

Monte Carlo

Monaco

Budva

Montenegro

Podgorica

Montenegro

Amsterdam

Netherlands

Rotterdam

Netherlands

The Hague

Netherlands

Abuja

Nigeria

Lagos

Nigeria

Port Harcourt

Nigeria

Ohrid

North Macedonia

Skopje

North Macedonia

Bergen

Norway

Oslo

Norway

Gdańsk

Poland

Kraków

Poland

Warsaw

Poland

Faro

Portugal

Lisbon

Portugal

Porto

Portugal

Bucharest

Romania

Cluj-Napoca

Romania

City of San Marino

San Marino

Serravalle

San Marino

Belgrade

Serbia

Novi Sad

Serbia

Singapore

Bratislava

Slovakia

Košice

Slovakia

Bled

Slovenia

Ljubljana

Slovenia

Incheon

South Korea

Seoul

South Korea

Barcelona

Spain

Madrid

Spain

Valencia

Spain

Sri Jayawardenepura Kotte

Sri Lanka

Gothenburg

Sweden

Stockholm

Sweden

Bern

Switzerland

Geneva

Switzerland

Zurich

Switzerland

Kaohsiung

Taiwan

Taipei

Taiwan

Ankara

Turkey

Istanbul

Turkey

Kyiv

Ukraine

Lviv

Ukraine

Odesa

Ukraine

Dubai

United Arab Emirates

Birmingham

United Kingdom

Edinburgh

United Kingdom

London

United Kingdom

Manchester

United Kingdom

Rome (Vatican-adjacent)

Vatican City

Training Schedule

Below is the table of cities along with the respective dates for the upcoming training sessions of Generative AI Models and Applications Course. Please review the schedule to find the most convenient option for you. You can also use the below search bar to type the city name and filter the results.