Generative AI and LLMs Training Course : Understanding, Customising and Deploying
- Price
- Duration
- Number of hours
Each session will take place even if only one person is registered (except in cases of force majeure).
Description of the Generative AI and LLMs Training Course
Language models (LLMs) such as GPT, Claude, and Mistral are revolutionising the way we design interfaces, assistants, and content engines.
But moving from simple prompts to useful, controlled integration requires more than just testing: you need to understand how they work, know how to adapt them to specific business cases, and deploy them responsibly and effectively.
Delve into the world of large language models (LLMs) and generative artificial intelligence with this training course designed for professionals in tech, innovation and data. Through practical workshops and real-life case studies, explore how LLMs work, the ethical issues involved, prompt engineering tools and their uses in business. A unique opportunity to master the basics and anticipate the strategic impacts of generative AI in your organisation.
Format
Remote (recorded sessions).
GOOD TO KNOW
This training course includes numerous exercises (60% practical) to enhance learning. Each session will take place even if only one person is registered (except in cases of force majeure). A preliminary interview is held between the participant and/or a company representative in order to fully assess the participant’s profile (level, needs, professional context, challenges, etc.).
Assessment : during the training course, the trainer assesses the participants’ progress through multiple-choice questions, role-playing exercises and practical work. Participants receive a certificate of completion at the end of the training course.
objectives
By the end, each participant will be able to :
- Understand the basics of how LLMs work (transformers, tokens, fine-tuning, etc.).
- Identify the differences between GPT, Claude, Mistral, LLama, etc., and choose the right model for your use case.
- Customise a model via advanced prompt engineering, memory, RAG, or light fine-tuning.
- Integrate an LLM into an application via API or user interface.
- Deploy conversational assistants, summary engines, or text analysis tools.
- Manage ethical, security, cost, and confidentiality issues.
Prerequisites
- Basic understanding of APIs, application or integration logic (JSON, REST).
- Knowledge of NLP or AI is useful but not essential.
- Interest in techno-business issues and digital innovation.
Because each participant has a unique background and expectations, a preliminary interview with our expert allows us to precisely identify their objectives, level and professional challenges.
This enables us to tailor the training content to ensure relevant and personalised learning.
Target Audience
This training course is designed for technical, product, innovation, or digital transformation professionals who wish to take their skills to the next level with LLMs.
Detailed of the Generative AI and LLMs Training Course
LLM Architecture – Understanding the Foundations
How LLMs work (transformers, embeddings, tokens, generation models). Why do they produce what they produce? A simplified introduction.
Select and compare models
GPT-5, Claude, LLaMA, Mistral, Mixtral, Phi… comment choisir selon ses besoins (coût, perfs, confidentialité, open source, etc.). Démos comparées.
Prompt Engineering & Customisation
Prompt engineering techniques : roles, contexts, loops, logical chains. Use of memory, RAG (Retrieval-Augmented Generation) and agents.
API integration and interfaces
Use OpenAI, HuggingFace, and Anthropic APIs. Create web assistants, integration with Notion, Slack, CRMs, etc. Low-code or custom frameworks.
Deployment of AI agents in real environments
Examples of deployment : internal chatbot, business co-pilot, meeting summary, legal or HR summary engine. Local or cloud-based use (serverless, etc.).
Limitations, biases, risks, and best practices
Governance, data security, hallucinations, output control, auditability. Responsible use cases and error management.
The advantages of this training course
What sets this training course apart :
- It demystifies LLMs without oversimplifying them, striking a balance between theory and practice.
- It goes beyond prompts to explore real-world deployment and concrete use cases.
- It is aimed at a hybrid audience : technical and decision-makers, which is rare for this subject.
FORMA-IT's training courses are also supportive
At Forma-IT, we believe that training can also be a lever for solidarity. This is why part of each registration is donated to associations that work in areas that are close to our hearts:
The SPA, for animal protection
The Restos du Cœur, for the fight against precariousness
Ludopital, to make the daily lives of hospitalized children easier
- APF France Handicap, for the rights of people with disabilities and their families
By choosing Forma-IT, you invest in your skills while contributing to essential causes.
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Would you like to know about upcoming sessions ?
Would you like to schedule this Generative AI and LLMs training course on a specific date ? Contact us by email or by filling out the contact form.