Upskilling
🇪🇸 FUNDAE eligible
Master LLMs & Generative AI — Practical, High-Impact Training for Developers and Tech Teams
About
Tired of LLM Hype without Real Skills? Got you
In tech companies, developers are promoted to management roles without the training to succeed. The result? Poor team dynamics, broken processes, and lost talent.
Most managers learn by making mistakes — costing companies time, morale, and money.
Benefits
What makes this program unique
A structured, applied learning journey with measurable outcomes.
Real, hands-on experience
Engineering teams effectively and avoid costly mistakes.
Mentored sessions
Get direct feedback from experts, not just forums
Exclusive developer platform
Fully equipped labs that feel like working on your own system
Designed for developers
Straight to the point, actionable knowledge
Battle tested
Taught at top universities and leading companies. This is not our first rodeo
Unique methodology
Combining academic rigor + real-world engineering
Who's for
Who should attend
This course is designed for:
Software Developers
Wanting to future-proof their careers and gain real AI/LLM skills
Tech Teams
In companies exploring Generative AI integration in their products
CTOs, Heads of Engineering, and HR
Looking to upskill teams and stay competitive
AI/ML Enthusiasts
Aiming to build and deploy LLMs, not just use them
Syllabus
Course structure
What you will learn — Two progressive levels:
Level 1
LLM Foundations & Applications
Get fluent in LLMs from day one — understand, prompt, and use models effectively.
Topics include:
Fundamentals of NLP and LLMs
Prompt Engineering: zero-shot, one-shot, few-shot learning
Benchmarking and evaluating LLMs
LLM APIs & deployment essentials
Understanding use-cases and limitations
Level 2
Building, Fine-tuning & Deploying LLMs
Go from user to builder — fine-tune, customize, and deploy your own models.
Topics include:
Building an LLM from scratch (hands-on guided process)
Fine-tuning strategies (instruction tuning, reinforcement learning, domain adaptation)
Advanced prompt engineering & chaining models
Evaluating and benchmarking fine-tuned LLMs
Deployment best practices for scalable solutions
Outcomes
Confidently work with and deploy LLMs in your company
Fine-tune models for specific domains and products
Implement advanced prompting techniques for optimal performance
Benchmark and evaluate LLM performance for real use cases
Architect scalable LLM solutions, ready for production
Format
Course format and commitment
Duration
Level 1: ≈ 30 hours Level 2: ≈ 50 hours
Recommended workload
≈ 6 / 8 hours per week
Format
Mix of live sessions and on-demand content
Live sessions
Weekly (best practices, Q&A, feedback on exercises)
On-demand content
Labs, videos, guided exercises available anytime and mentor support on demand.
Methodology
Our learning methodology
A proven framework designed for developer success:
Live Expert Mentoring
Small group live sessions for personalized feedback and deep dives
Hands-on Labs & Real Cases
Build, fine-tune, and deploy models you can use in real projects
Asynchronous Content
Premium video lessons, reference guides, and exercises — available anytime
Project-based Learning
Work on real scenarios, with guidance from top engineers
Proprietary Developer Platform
Work seamlessly in cloud and local environments built for LLM development
University and enterprise trusted
We train teams in top universities and high-level tech companies.
Get a quote
Book a call with us
We’re based in Barcelona and have worlwide coverage. Come meet us at our beach office or book a call with us to get your quote
