Ambeone's Training on Large Language Models, ChatGPT and Prompt Engineering in Dubai teaches you to apply GenAI tools effectively, in-person.

LLM & PROMPT ENGINEERING

Large Language Model (LLM) & GenAI Training — From Foundation to Fine-Tuning

Including Prompt Engineering and ChatGPT — hands-on training to harness the power of LLMs and GenAI effectively, from foundational concepts to fine-tuning models.

COURSE OBJECTIVE

From "I use ChatGPT" to "I understand why it works."

This comprehensive course is focused on making AI enthusiasts learn the skills needed to harness the power of LLMs and GenAI effectively. From understanding foundational concepts to fine-tuning models and engineering prompts, participants will gain hands-on experience using popular platforms such as ChatGPT.

In today's fast-changing AI-driven technological landscape, proficiency in leveraging AI language models has become imperative for businesses and professionals across diverse domains. This course provides clarity and understanding on how to use advanced AI tools like Large Language Models, Prompt Engineering, and ChatGPT.

SUITABLE FOR

Professionals wanting real LLM fluency, not just chatbot familiarity.

Who

Essential for all professionals seeking to enhance their AI skillset. Business Analysts and Product Managers can use it to boost productivity and performance, while Data Scientists, Machine Learning Engineers, NLP Researchers, and Practitioners can master prompt engineering to achieve desired outcomes.

COURSE STRUCTURE

Five modules — from foundation to real business cases.

Module I

Overview — What Are Large Language Models and GenAI

Introduction to AI and NLP, understanding model architecture and mechanics, exploring pre-trained models, ChatGPT and Prompt Engineering basics.

Module II

Popular Platforms and Tools

Using ChatGPT for conversational AI, LLMs for text classification and information retrieval, and comparing different LLM platforms.

Module III

Prompt Engineering for LLMs & GenAI

Crafting effective prompts, bias mitigation strategies, and advanced techniques for enhancing prompt-response interactions.

Module IV

LLM Fine-Tuning Techniques

Hands-on practice fine-tuning LLMs for specific tasks, optimizing hyperparameters, and evaluating fine-tuned models.

Module V

Business Case Studies

Customer support automation, content generation and personalization at scale, plus case studies tailored to participants' own profiles.

KHDA

Approved since 2014

Award

Best AI/ML Training Initiative, 2023

Format

100% in-person

Batch Size

Max 8 learners

Duration

8–12 hours of instructor-led sessions + 6+ hours of case studies, assignments, and a capstone project

Format

1–2 full days training, or two-three weekend sessions for public batches

Prerequisite

None, except interest in AI and Data Analytics

FREQUENTLY ASKED QUESTIONS

Common questions about this course.

Do I need a technical or AI background to take this course?

No formal prerequisite is required beyond an interest in AI and data analytics — the course is built to take you from foundational concepts through to fine-tuning.

Will I actually fine-tune a model myself?

Yes — Module IV is dedicated hands-on practice fine-tuning LLMs for specific tasks, including hyperparameter optimization and evaluation.

Is this the same as the Microsoft CoPilot course?

No — this course covers LLMs and prompt engineering broadly across platforms like ChatGPT and Claude. The Microsoft CoPilot course is specific to Microsoft 365 applications (Word, Excel, Outlook, Teams).

NOT FOR EVERYONE. BUILT FOR AI EXCELLENCE.

Go from prompting by guesswork to prompting with intent.

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