Course Overview
Large Language Models are transforming how software is designed and delivered. This intensive bootcamp provides a complete journey from understanding transformer-based models to building production-ready LLM applications using modern frameworks and tools.
Participants will explore key concepts including fine-tuning, retrieval-augmented generation, evaluation frameworks, and agent-based systems. The course emphasises practical implementation, enabling learners to move beyond theory into real-world LLM product development.
Through mentor-led sessions and practical scenarios, learners will build multiple LLM-powered applications using tools such as LangChain, integrate data sources, and apply best practices for performance, cost, and reliability. By the end, participants will have the skills to design and deploy scalable AI systems.
Hands-On Learning
Build real LLM apps including RAG systems and agents.
Mentor-Led Sessions
Guided sessions with real-world LLM product scenarios and reviews.
Career-Ready Skills
Develop and deploy production-ready LLM applications.
Learning Outcomes
Design scalable LLM application architectures
Analyse model performance and outputs
Implement RAG and agent-based systems
Evaluate LLM applications using metrics
Communicate technical solutions effectively
Lead LLM product development initiatives
Prerequisites
Intermediate Python or JavaScript
Understanding of APIs and data handling
Basic knowledge of machine learning concepts
Detailed Syllabus
Step-by-step learning journey from basics to professional practice
Topics Covered
- LLM fundamentals and environment setup
- Overview of tools and frameworks
- Development workflow preparation
Skills You'll Gain
Master these in-demand skills through hands-on practice
Career Progression
A clear view of the roles this programme supports, what typically comes next, and where learners progress over time
Ways to Learn
Choose the learning format that works best for you and your team
Live Online
Instructor-Led Training
Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- Live instructor interaction (real-time)
- Trainer-led walkthroughs and real examples
- Guided resources and session notes provided
- Structured Q&A and practical discussion
Price per person
Group enrolments and early planning options available.
All prices are exclusive of VAT where applicable. Group enrolments and custom packages available on request.
Prefer a Faster, Personalised Route into IT?
Not everyone learns best in a group. If you want focused guidance, faster clarity, and confidence you can use on the job, our 1-to-1 Fast-Track Training gives you private, mentor-led support tailored to your experience and goals.
"Many learners choose 1-to-1 when they want understanding, not memorisation."
Exam & Certification Information
Everything you need to know about the certification exams
Important Information
You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.
Credential
Certificate of Completion
On successful completion of LLM Engineering Bootcamp, learners receive an Xcademia Certificate of Completion. This standalone certificate is issued directly by Xcademia and is aligned with globally recognised frameworks and best practices.
Frequently Asked Questions
Everything you need to know about this course
Basic understanding of machine learning is recommended but not advanced expertise.
Ready to Start Your Learning Journey?
Take the next step in your professional development