This course has been certified by the CPD Certification Service as conforming to continuing professional development principles. Find out more.

Turn large language models into production-ready systems

Large language models (LLMs) are powerful, but moving them from development into production brings unique challenges. This online course shows you how to operationalise LLMs with the tools, frameworks, and strategies needed for scalable, enterprise-grade deployment.

You’ll start by building strong foundations in production AI, then progress to hands-on model development and deployment pipelines, and finish by exploring the trends that will shape the future of LLMs in industry.

Build strong foundations for production AI

Begin with the essentials of deploying AI at scale. You’ll examine how LLM production differs from classic machine learning, while developing skills in prompt engineering, cost management, and data curation.

You’ll also explore model selection, fine-tuning, and the infrastructure needed for reliable and secure enterprise systems.

Develop and deploy production pipelines

Next, put your learning into practice. Gain experience with fine-tuning workflows and evaluation strategies for custom domains.

Build robust pipelines that include monitoring, maintenance, and automated deployment. You’ll apply best practices for scaling, reducing latency, and managing production environments with observability and drift detection tools.

Explore future trends and enterprise impact

Finish by looking ahead to where LLM production is heading. You’ll discover emerging approaches such as multimodal models and green AI, and understand the safety guardrails that support responsible use, including bias mitigation, security compliance, and resource management.

By the end of the course, you’ll be ready to move large language models from prototypes to production with confidence, supporting scalable, secure, and adaptable AI systems.

Explore our ExpertTrack: AI and Data Engineering

Syllabus

Week 1
Foundation, Architecture & Model Development
- Lesson 1: Course Introduction
  Get orientated with the course structure, goals, and technical setup. Meet your instructor and prepare your environment for the intensive engineering journey ahead.
- Lesson 2: Introduction to Generative AI
  Understand how GenAI is revolutionising software engineering. Set up local/cloud dev environments and analyse real-world enterprise GenAI strategies.
- Lesson 3: Large Language Models
  Dive into LLM components, compare providers (OpenAI, Anthropic, Claude), and integrate LLMs via APIs with fallback strategies and multi-provider architectures.
- Lesson 4: GenAI Use Cases
  Analyse GenAI applications across industries. Design customer support systems and measure ROI using strategic frameworks.
- Lesson 5: Fine-tuning Basics
  Learn core concepts of model fine-tuning, including data prep, training processes, and evaluation strategies. Use HuggingFace to fine-tune your first domain-specific model.
- Lesson 6: Advanced Fine-tuning
  Explore parameter-efficient fine-tuning (e.g., LoRA), gradient accumulation, and performance optimisation to achieve enterprise-grade customisation.
- Lesson 7: Fine-tuning for Support
  Specialises in building support bots that understand empathy and brand tone. Implement multi-objective training strategies for real-world customer service.
Week 2
Production Engineering, Optimisation & Strategic Deployment
- Lesson 8: Deployment
  Deploy GenAI systems with Docker, orchestration, and scaling tools like Nginx and Prometheus for high availability.
- Lesson 9: Monitoring & Maintenance
  Build alerting systems with Prometheus/Grafana to track model health, cost, latency, and failures.
- Lesson 10: Support System Deployment
  Design and deploy AI-powered support systems with CRM integration and performance validation methods.
- Lesson 11: Additional Use Cases
  Implement and optimise GenAI tools for code generation, content creation, and edge device deployment.
- Lesson 12: Future Trends
  Explore AI innovation paths, toolkits, and industry adoption models to stay ahead of GenAI advancements and strategic shifts.
- Lesson 13: Conclusion
  Reflect on your journey and consolidate your skills in fine-tuning, deployment, monitoring, and optimisation of GenAI systems.

Who is this accredited by?

The CPD Certification Service:

The CPD Certification Service was established in 1996 and is the leading independent CPD accreditation institution operating across industry sectors to complement the CPD policies of professional and academic bodies.

When would you like to start?

Start straight away and join a global classroom of learners. If the course hasn’t started yet you’ll see the future date listed below.

Available now
Join - $69

Learning on this course

On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

What will you achieve?

By the end of the course, you‘ll be able to...

Execute advanced fine-tuning workflows including LoRA optimization and domain-specific model customization.
Implement enterprise-scale deployment strategies with containerization, monitoring, and infrastructure automation.
Construct comprehensive production monitoring and maintenance protocols with automated alerting and performance tracking.
Apply advanced optimization techniques including caching, edge deployment, hybrid routing, and emerging technology adoption strategies.

Who is the course for?

This course is ideal for machine learning, DevOps, and platform engineers, as well as architects working with large language models and enterprise GenAI solutions.

Who will you learn with?

Paul Siegel

Who developed the course?

Starweaver

Starweaver is a next generation platform that engages your workforce as no other. Combining business and technical skills, Starweaver provides real-time skill building that is in line with your business objectives and strategies, and in your associates day to day tasks and jobs.

What's included?

This is a premium course. These courses are designed for professionals from specific industries looking to learn with a smaller group of like-minded individuals.

Unlimited access to this course
Includes any articles, videos, peer reviews and quizzes
Certificate of Achievement to prove your success when you're eligible
Download and print your Certificate of Achievement anytime

Join - $69

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