• Understand the importance of observability in LLM systems

• Set up OpenLLMetry for tracing LLM prompt workflows

• Track latency, error rates, and token usage in production

• Configure exporters to Grafana, Prometheus, or Elastic

• Visualize prompt chains and identify failure points

• Integrate with LangChain and custom LLM pipelines

• Monitor multi-agent systems and asynchronous tasks

• Collect usage analytics for model governance and cost tracking

• Debug long-running LLM chains and identify stuck processes

• Apply standardized monitoring for LLMOps environments

 

Course Syllabus

1. Introduction to LLM Observability and OpenLLMetry

2. What is OpenLLMetry? Concepts and Architecture

3. Installing OpenLLMetry in Python Environments

4. Instrumenting LLM Applications with Tracing Hooks

5. Capturing Prompt Metadata, Responses, and Errors

6. Exporting Metrics to Grafana, Prometheus, and More

7. Working with LangChain Traces and Callback Handlers

8. Monitoring Token Usage, Latency, and Failures

9. Analyzing LLM Chains with Visualization Dashboards

10. OpenLLMetry for Multi-Agent and RAG Pipelines

11. Cost Monitoring and Governance Applications

12. Case Study: Full-Stack Observability in a QA LLM App

Upon completing this course, learners will receive a Uplatz Certificate of Completion verifying their expertise in implementing LLM observability using OpenLLMetry. This certificate confirms your ability to trace prompt flows, monitor model behavior, and manage AI infrastructure with precision. It demonstrates practical, job-ready skills for AI DevOps, MLOps, and observability engineering. Earning this certificate is a great step toward becoming a technical leader in LLM system reliability and governance.

As LLM applications enter production across industries, monitoring and reliability become core responsibilities. Mastering OpenLLMetry prepares you for high-impact operational roles in AI infrastructure and observability.

Career paths include:

• AI Observability Engineer

• LLMOps Specialist

• ML Infrastructure Engineer

• DevOps for AI Systems

• Prompt Monitoring Analyst

• AI Platform Reliability Engineer

These roles are critical in companies deploying chatbots, RAG systems, agents, and summarizers across domains such as SaaS, healthcare, education, and enterprise tools. OpenLLMetry enables full visibility and transparency—skills that will make you a key player in deploying safe and scalable LLMs.

1. What is OpenLLMetry?
   OpenLLMetry is an open observability framework designed to trace, monitor, and analyze large language model applications.

2. How is OpenLLMetry different from OpenTelemetry?
   It applies the same principles to LLM pipelines, focusing on prompt tracing, token usage, and AI-specific metrics.

3. What are the benefits of using OpenLLMetry?
   It provides visibility into LLM operations, detects latency issues, and enables standardized monitoring across AI stacks.

4. How do you integrate OpenLLMetry with LangChain?
   By attaching callback handlers and using middleware to trace each step of the chain execution.

5. Can OpenLLMetry export metrics to existing dashboards?
   Yes, it supports exporters for Grafana, Prometheus, and similar observability platforms.

6. What kind of data does OpenLLMetry capture?
   It captures prompt content, timing, token usage, success/failure status, and trace IDs.

7. Why is observability critical in LLMOps?
   Observability helps ensure model reliability, trace failures, monitor usage, and manage costs in production.

8. Can OpenLLMetry track asynchronous agents or workflows?
   Yes, it supports distributed tracing even for multi-agent and async execution flows.

9. What are typical issues detected using OpenLLMetry?
   Latency spikes, unhandled errors, excessive token usage, and long response chains.

10. Is OpenLLMetry suitable for production systems?
    Yes, it is designed to work in real-time, production-grade LLM environments for observability at scale.

Q1. What are the payment options?
A1. We have multiple payment options: 1) Book your course on our webiste by clicking on Buy this course button on top right of this course page 2) Pay via Invoice using any credit or debit card 3) Pay to our UK or India bank account 4) If your HR or employer is making the payment, then we can send them an invoice to pay.

Q2. Will I get certificate?
A2. Yes, you will receive course completion certificate from Uplatz confirming that you have completed this course with Uplatz. Once you complete your learning please submit this for to request for your certificate https://training.uplatz.com/certificate-request.php

Q3. How long is the course access?
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Q6. Can I get study material with the course?
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A15. Uplatz offers 2 types of unlimited subscription, Monthly and Yearly. Our monthly subscription give you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews each month. Minimum committment is for 1 year, you can cancel anytime after 1 year of enrolment. Our yearly subscription gives you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews every year. Minimum committment is for 1 year, you can cancel the plan anytime after 1 year. Check our monthly and yearly subscription here https://training.uplatz.com/online-it-courses.php?search=subscription

Q16. Do you provide software access with video course?
A16. Software access can be purchased seperately at an additional cost. The cost varies from course to course but is generally in between GBP 20 to GBP 40 per month.

Q17. Does your course guarantee a job?
A17. Our course is designed to provide you with a solid foundation in the subject and equip you with valuable skills. While the course is a significant step toward your career goals, its important to note that the job market can vary, and some positions might require additional certifications or experience. Remember that the job landscape is constantly evolving. We encourage you to continue learning and stay updated on industry trends even after completing the course. Many successful professionals combine formal education with ongoing self-improvement to excel in their careers. We are here to support you in your journey!

Q18. Do you provide placement services?
A18. While our course is designed to provide you with a comprehensive understanding of the subject, we currently do not offer placement services as part of the course package. Our main focus is on delivering high-quality education and equipping you with essential skills in this field. However, we understand that finding job opportunities is a crucial aspect of your career journey. We recommend exploring various avenues to enhance your job search:
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b) Networking: Attend industry events, workshops, and conferences to build connections with professionals in your field. Networking can often lead to job referrals and valuable insights.
c) Online Professional Network: Leverage platforms like LinkedIn, a reputable online professional network, to explore job opportunities that resonate with your skills and interests.
d) Online Job Platforms: Investigate prominent online job platforms in your region and submit applications for suitable positions considering both your prior experience and the newly acquired knowledge. e.g in UK the major job platforms are Reed, Indeed, CV library, Total Jobs, Linkedin.
While we may not offer placement services, we are here to support you in other ways. If you have any questions about the industry, job search strategies, or interview preparation, please dont hesitate to reach out. Remember that taking an active role in your job search process can lead to valuable experiences and opportunities.

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Q21. Can I get help from a tutor if I have doubts while learning from a video course?
A21. Tutor support is not available for our video course. If you believe you require assistance from a tutor, we recommend considering our live class option. Please contact our team for the most up-to-date availability. The pricing for live classes typically begins at USD 999 and may vary.