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Serving and Deploying Enterprise LLM Applications

This advanced Large Language Model (LLM) training is for Ops professionals who want to master deploying, managing, and scaling sophisticated LLM-based applications in enterprise environments. The...

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Duration 4 days
Course Code WA3514
Available Formats Classroom

Overview

This advanced Large Language Model (LLM) training is for Ops professionals who want to master deploying, managing, and scaling sophisticated LLM-based applications in enterprise environments. The course covers advanced topics such as scalable model serving infrastructures, monitoring and troubleshooting techniques, Agentic RAG deployment, and CI/CD and DevOps practices for LLM-based applications.

Skills Gained

  • Design and implement scalable and cost-efficient model serving infrastructures for LLM-based applications
  • Implement advanced monitoring, logging, and troubleshooting techniques for LLM-based applications in production
  • Deploy and manage Agentic RAG architectures at scale using containerization and orchestration technologies
  • Implement CI/CD pipelines and adopt DevOps best practices for efficient and collaborative LLM-based application deployment

Prerequisites

  • Practical programming skills in Python and familiarity with LLM concepts and frameworks (3+ Months LLM, 6+ Months Python and Machine Learning)
  • LLM Access via API, Open Source Libraries (HuggingFace)
  • LLM Application development experience (RAG, Chatbots, etc)
  • Strong understanding of containerization, orchestration, and cloud computing concepts
  • Experience with monitoring, logging, and troubleshooting of production systems
  • Familiarity with DevOps practices and CI/CD pipelines
  • MLOps knowledge preferred but not required

Course Details

Outline

Advanced Model Serving Infrastructure and Scalability

  • Designing and implementing scalable model serving infrastructures for LLM-based applications
  • Leveraging Kubernetes and serverless technologies for auto-scaling and high availability
  • Implementing multi-region and multi-cloud deployment strategies for scale
  • Optimizing model serving performance and cost-efficiency
  • Implementing advanced caching, compression, and quantization techniques for model serving
  • Leveraging spot instances, reserved capacity, and other cost optimization strategies
  • Implementing a scalable and cost-efficient model serving infrastructure for an LLM-based application

Monitoring, Logging, and Troubleshooting for LLM-Based Applications

  • Implementing advanced monitoring and logging techniques for LLM-based applications
  • Setting up distributed tracing, metrics collection, and log aggregation for LLM-based applications
  • Implementing advanced monitoring dashboards and alerts for key performance and quality metrics
  • Troubleshooting and root cause analysis for LLM-based application issues
  • Leveraging advanced debugging, profiling, and visualization tools for identifying performance bottlenecks and errors
  • Implementing automated anomaly detection and incident management workflows for LLM-based applications
  • Setting up comprehensive monitoring, logging, and troubleshooting for an LLM-based application
  • Configuring distributed tracing, metrics collection, and log aggregation
  • Implementing monitoring dashboards, alerts, and automated troubleshooting

Deploying and Managing Agentic RAG Architectures at Scale

  • Deploying and managing Agentic RAG architectures in production environments
  • Designing and implementing scalable and fault-tolerant Agentic RAG deployment architectures
  • Leveraging containerization, orchestration, and serverless technologies for Agentic RAG deployment
  • Monitoring and optimizing Agentic RAG performance and resource utilization
  • Implementing advanced monitoring and profiling techniques for Agentic RAG components
  • Optimizing Agentic RAG deployments for cost-efficiency and performance at scale
  • Deploying and managing an Agentic RAG architecture in a production environment

CI/CD and DevOps Practices for LLM-Based Application Deployments

  • Implementing advanced CI/CD pipelines and workflows for LLM-based application deployments
  • Designing and implementing end-to-end CI/CD pipelines with automated testing, staging, and production deployments
  • Leveraging GitOps and infrastructure-as-code practices for declarative and version-controlled deployments
  • Adopting DevOps best practices for collaborative and efficient LLM-based application development and deployment
  • Implementing agile development methodologies and continuous feedback loops for LLM-based applications
  • Establishing effective collaboration and communication channels between development, ops, and data science teams
  • Implementing a CI/CD pipeline and DevOps practices for an LLM-based application deployment
  • Designing and implementing an end-to-end CI/CD pipeline with automated testing and deployment stages

Conclusion

Schedule

FAQ

Does the course schedule include a Lunchbreak?

Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does Ascendient Learning deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

What does vendor-authorized training mean?

As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.

Is the training too basic, or will you go deep into technology?

It depends on your requirements, your role in your company, and your depth of knowledge. The good news about many of our learning paths, you can start from the fundamentals to highly specialized training.

How up-to-date are your courses and support materials?

We continuously work with our vendors to evaluate and refresh course material to reflect the latest training courses and best practices.

Are your instructors seasoned trainers who have deep knowledge of the training topic?

Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.

Do you provide hands-on training and exercises in an actual lab environment?

Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.

Will you customize the training for our company’s specific needs and goals?

We will work with you to identify training needs and areas of growth.  We offer a variety of training methods, such as private group training, on-site of your choice, and virtually. We provide courses and certifications that are aligned with your business goals.

How do I get started with certification?

Getting started on a certification pathway depends on your goals and the vendor you choose to get certified in. Many vendors offer entry-level IT certification to advanced IT certification that can boost your career. To get access to certification vouchers and discounts, please contact info@ascendientlearning.com.

Will I get access to content after I complete a course?

You will get access to the PDF of course books and guides, but access to the recording and slides will depend on the vendor and type of training you receive.

How do I request a W9 for Ascendient Learning?

View our filing status and how to request a W9.

Reviews

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