3-Day Instructor-Led Programme
Build real-world applications powered by large language models using modern LLM design patterns and toolchains. This mentor-led course uses practical scenarios to design, integrate, and deploy production-ready AI assistants and workflows.
Duration
3 Days
Price
$1,999
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.
Build a working LLM-powered assistant using prompt pipelines and retrieval patterns.
Guided sessions with experienced mentors reviewing architecture, prompts, and real application scenarios.
Develop production-ready AI features using modern LLM application patterns.
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
Basic programming knowledge (Python or JavaScript)
Understanding of APIs and web applications
Familiarity with basic AI or ML concepts
Step-by-step learning journey from basics to professional practice
Master these in-demand skills through hands-on practice
A clear view of the roles this programme supports, what typically comes next, and where learners progress over time
Choose the learning format that works best for you and your team
Instructor-Led Training
Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
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.
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."
Everything you need to know about the certification exams
You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.
Credential
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.
Everything you need to know about this course
Developers, AI engineers, and technical professionals who want to build real applications using large language models.
Take the next step in your professional development
