Generative AI Engineering: From Concept to Production
Design, build, and deploy production-ready LLM applications
What you'll learn
Master LLM fundamentals, tokenization, and transformer architectures
Design robust prompts and advanced patterns (few-shot, CoT, ReAct)
Choose between RAG, fine-tuning, or hybrid based on the use case
Build RAG pipelines with embeddings and vector databases
Develop and deploy end-to-end LLM applications
Evaluate, test, and secure your LLM systems in production
Skills you'll gain
This training is for you if...
Ideal profile
- Software developers and engineers
- ML and data engineers
- Tech leads and architects
- DevOps / Platform engineers
- Product engineers
- Technical product teams
Prerequisites
- Programming experience (Python preferred)
- Familiarity with REST APIs and Git
- Basic command-line knowledge
- Laptop with a working dev environment
Program overview
A structured progression across several days, blending theory, hands-on workshops, and case studies.
Day 1: Foundations, Prompting & Security
8h (9am-5pm)
Day 2: RAG, Fine-Tuning & Vector Databases
8h (9am-5pm)
Day 3: Building LLM Applications
8h (9am-5pm)
Day 4: Evaluation, Production & Capstone
8h (9am-5pm)
The full day-by-day, module-by-module program is included in the downloadable brochure. Register to receive it immediately.
Register and get the brochureYour instructors
Balla Niang
CEO & Co-Founder, NEORON AI
Balla is CEO of NEORON AI and a digital transformation expert with 15+ years of experience. He has advised Fortune 500 companies on their AI strategy and led large-scale transformation projects.
View LinkedIn profile →Mamadou Keita
Full Stack Developer & UX/UI Designer, NEORON AI
Mamadou is a Full Stack Developer and UX/UI Designer at NEORON AI. He designs and builds the interfaces and systems that make AI solutions accessible, intuitive, and production-ready.
View LinkedIn profile →Why choose NEORON AI?
Code-First, Not Slides-First
Every module ships with hands-on labs: you leave with code that runs, not just notes.
Production Experience
Our instructors have shipped LLMs to production — latency, cost, drift, security. Real talk, not demos.
Small Cohorts
Max 20 participants so you get real 1-on-1 coaching time during every lab.
Recognized Certification
Professional certificate + 32h of CPD recognized by professional orders.
What past participants say
“In 4 days I went from isolated API calls to a production RAG pipeline with automated evaluations. The quality of the hands-on labs made all the difference.”
“Dense, no-fluff training. The instructors clearly know what they're talking about — from prompt injection to LLM observability, everything is covered with code that actually runs.”
Your professional certification
Neoron AINEORON AI Professional Certificate
At the end of this intensive training, you'll receive a recognized professional certificate attesting to your skills in AI strategy and organizational transformation.
- 32 hours of CPD (Continuing Professional Development)
- Digital format + framed paper version
- Verifiable LinkedIn badge
- Listed in the NEORON AI certified professionals registry