2-Day Instructor-Led Programme
Learn how to evaluate, monitor, and ensure trust in production-grade generative AI systems. Understand LLMOps practices for reliability, observability, and responsible AI deployment.
Duration
2 Days
Price
$1,799
As organisations move generative AI systems into production, ensuring reliability, safety, and performance becomes critical. LLMOps extends traditional MLOps practices to address the unique challenges of large language models, including evaluation complexity, non-deterministic outputs, and trust considerations.
This programme focuses on the operational aspects of generative AI systems, including evaluation frameworks, monitoring pipelines, and trust mechanisms. Participants learn how to measure output quality, track system performance, and implement safeguards that ensure consistent and responsible AI behaviour.
Through practical exercises, learners design evaluation pipelines, implement monitoring strategies, and build trust mechanisms for production-ready generative AI systems.
Participants design evaluation pipelines, monitor LLM outputs, and implement reliability and trust mechanisms in real-world scenarios.
Industry mentors guide learners through LLMOps practices used in production AI systems and enterprise AI platforms.
Develop critical skills required to operationalise generative AI systems with reliability, observability, and governance.
Understand LLMOps practices for production AI systems
Design evaluation frameworks for generative AI outputs
Monitor LLM performance and system behaviour
Implement trust and safety mechanisms
Detect and manage issues such as hallucinations and drift
Build reliable and production-ready generative AI systems
Basic programming knowledge (Python or JavaScript helpful)
Familiarity with generative AI or LLM applications
Basic understanding of MLOps concepts helpful
Organized by professional domains with comprehensive coverage
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 LLMOps: Evals, Monitoring & Trust, 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
LLMOps is the practice of managing, monitoring, and improving generative AI systems in production environments.
Take the next step in your professional development