Course Overview
Large Language Models are transforming how applications are built, enabling intelligent assistants, automation tools, and knowledge systems. This programme introduces the architecture and patterns behind modern LLM-powered applications, helping developers move from experimentation to reliable implementation.
Across this mentor-led programme, participants explore prompt pipelines, retrieval augmented generation (RAG), tool usage, and application orchestration. Through practical scenarios, learners design AI-powered features such as document assistants, knowledge chatbots, and automated workflows.
The course emphasises responsible development, evaluation strategies, and scalable deployment patterns. By the end of the programme, learners will understand how to integrate LLM capabilities into production-ready systems while maintaining reliability, governance, and cost awareness.
Hands-On Learning
Build a working LLM-powered assistant using prompt pipelines and retrieval patterns.
Mentor-Led Sessions
Guided sessions with experienced mentors reviewing architecture, prompts, and real application scenarios.
Career-Ready Skills
Develop production-ready AI features using modern LLM application patterns.
Learning Outcomes
Design scalable LLM-powered application architectures
Analyse prompt pipelines and optimisation strategies
Implement retrieval augmented generation workflows
Evaluate reliability and safety of AI outputs
Communicate design decisions for AI systems
Lead development of practical LLM-powered solutions
Prerequisites
Basic programming knowledge (Python or JavaScript)
Understanding of APIs and web applications
Familiarity with basic AI or ML concepts
Detailed Syllabus
Step-by-step learning journey from basics to professional practice
Topics Covered
- LLM ecosystem overview
- Course tools and environment setup
- Safety and responsible AI usage
- LLM application architecture overview
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 App Development, 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
Developers, AI engineers, and technical professionals who want to build real applications using large language models.
Ready to Start Your Learning Journey?
Take the next step in your professional development