Generative AI & LLMs for Developers
Prompt engineering, LLM API integration, RAG and best practices. Bring generative AI into your applications and workflows.
- Understand how LLMs work
- Design effective prompts
- Integrate an LLM API into an app
- Set up a RAG approach
- Integrate an LLM API (OpenAI, Anthropic...) into an application in less than a day
- Design reliable prompts for production use, not just for the demo
- Build a RAG system that answers on your own data without hallucinating
- Honestly assess what an LLM can (and cannot) do for your project
The programme
Day 1 - Understanding LLMs & mastering prompting
- LLM architecture: tokens, context, temperature, top-p
- Prompt engineering: zero-shot, few-shot, chain-of-thought, ReAct
- Ollama: deploy and query an LLM locally (Llama 3, Mistral)
- OpenAI / Anthropic APIs: parameters, costs, context limits
- Workshop: IT ticket summarisation assistant and runbook generation
Day 2 - Integration & RAG
- LangChain: chains, prompt templates, memory, agents
- RAG (Retrieval-Augmented Generation): embeddings, vector store (Chroma), retriever
- Output evaluation: hallucinations, metrics, guardrails
- DevOps use cases: log analysis, Terraform generation, alert response
- Workshop: RAG prototype on your internal documentation: question → sourced answer
Who is this for
Developers, data people, project managers and technical profiles.
Prerequisites
- Programming knowledge (an advantage)
- Curiosity about AI
Format
Frequently asked questions
Is the course eligible for OPCO or CPF funding?
No. Sphinx-Digital is not Qualiopi certified and is not listed on Mon Compte Formation. The course is invoiced directly to the company or the individual, with no external funding.
What is the difference between the public (inter-company) and in-company formats?
In the public format, you join a session with participants from other companies (3 to 10 people). In-company, we run a session dedicated to your team, on your site or remotely, with content adapted to your context. In-company pricing is available on quote.
Remote or on-site: what are the practical differences?
Content and labs are identical. Remotely, labs run on cloud environments accessible from a browser, with nothing to install. On-site, you provide the workstations; labs can run in the cloud or locally depending on your infrastructure.
How many participants per session?
3 to 10 participants at most. This deliberate limit ensures everyone can ask questions, adapt the exercises to their context and get a detailed answer.
What is the evening format?
The evening format spreads the same course over 4 sessions of 3.5 hours (14 hours in total), in the evening from 6:30 pm to 10:00 pm. Same content, same labs, same price, so you can build skills without taking days off.
How does payment work?
Courses are invoiced on quote, by bank transfer. Payment in instalments is possible. We issue a training agreement for companies that want their training department to cover the cost.
Interested in this course?
Join the next session or request a tailored in-company session.
What participants say
Not sure this course fits your context?
A 20-minute call to take stock before you enrol, with no sales pitch.