Koenig Original Guaranteed-to-Run

AI & LLM Observability: Monitoring, Tracing & Debugging Production AI Systems

AI & LLM Observability: Monitoring, Tracing & Debugging Production AI Systems by Koenig Original equips AI engineers and MLOps specialists with advanced skills to monitor, trace, and debug complex LLM applications in production. Designed for professionals tackling the 85% model failure rate in real-world deployments, this course delivers hands-on experience with MLflow, LangChain, Prometheus, and Azure Monitor to build observable, secure AI systems. You’ll gain the ability to diagnose silent failures, enforce quality, and maintain performance in enterprise AI workflows.

This Koenig Original course prepares learners for advanced roles in generative AI and supports Koenig’s official attendance certification. With 30-day lab access and Guaranteed-to-Run scheduling, you’ll build a production-grade observable AI chatbot and emerge ready to lead AI initiatives, driving innovation and measurable business impact in high-demand AI engineering positions.

64 Hours (8 Days)
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0+ professionals trained

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Course Overview

The AI & LLM Observability: Monitoring, Tracing & Debugging Production AI Systems course by Koenig Original is designed for AI engineers, MLOps specialists, and data scientists responsible for deploying and maintaining reliable generative AI applications in enterprise environments. While no formal external certification exam is associated with this Koenig Original program, the curriculum aligns with industry best practices for roles such as LLM Observability Engineer, AI Operations Lead, and Generative AI Architect. With 85% of enterprises reporting failed AI deployments due to poor operationalization, according to industry studies, the demand for professionals skilled in monitoring and debugging production AI systems is rapidly growing across financial services, healthcare, and technology sectors.

Participants gain hands-on experience with key observability tools including Datadog, Langfuse, MLflow, Prometheus, Grafana, and Azure Monitor, all accessed through a cloud-based lab environment that replicates real-world AI deployment workflows. The course features intensive labs where students configure end-to-end tracing for LLM applications, instrument RAG pipelines with span-level visibility, and implement monitoring dashboards for latency, token usage, and error rates. A capstone project involves deploying a secure, observable AI chatbot using LangGraph and Azure Monitor, with full trace correlation, automated evaluation via MLflow, and real-time alerting—providing practical experience directly applicable to enterprise AI operations.

This training prepares learners for advanced roles in AI operations, supporting career progression toward positions such as Senior AI Engineer or AI Reliability Architect, with average salaries ranging from $140,000 to $200,000 annually in North America. As a Koenig Original course, it leverages expert-led instruction and official courseware, with the added advantage of Guaranteed-to-Run scheduling and optional 1-on-1 training for personalized learning. Graduates emerge with both technical mastery and a portfolio of observable AI systems, positioning them to lead AI initiatives in organizations focused on scalable, secure, and high-performance generative AI deployments.

What You'll Learn

Monitor large language model (LLM) performance with Koenig Original's AI & LLM Observability course, utilizing MLflow tracing and evaluation metrics to ensure optimal results.
Set up Azure Monitor for AI system observability and alerts, gaining real-time insights into your AI infrastructure's health and performance.
Implement distributed tracing for retrieval-augmented generation (RAG) pipelines using LangChain and Datadog, enhancing debugging and system transparency.
Deploy production-grade LLM applications confidently with Koenig Original's lab environments, ensuring scalable and reliable AI solutions.
Troubleshoot agentic AI workflows effectively by leveraging OpenTelemetry and structured logs, reducing downtime and improving accuracy.
Improve LLM cost efficiency and output quality through Koenig Original's observability frameworks, helping you optimize AI investments.

Skills You'll Gain

LLM Observability AI Monitoring Production AI Systems MLflow Tracing LangChain Instrumentation Azure AI Foundry Prometheus Metrics Grafana Dashboards RAG Pipeline Debugging Distributed Tracing Model Performance Monitoring Token Usage Tracking PII Redaction Agentic AI Debugging LLMOps Workflows Retrieval-Augmented Generation AI Security Compliance

Prerequisites

Recommended knowledge before taking this course
  • At least 1-2 years of experience in ML engineering or a related technical role.
  • Proficiency in Python 3.9+ (including advanced functions, decorators, and environment management with venv or conda).
  • Strong grasp of core NLP concepts, including tokenization, attention mechanisms, and transformer architecture.
  • Practical experience with PyTorch 2.0+ or TensorFlow 2.12+ and Hugging Face Transformers.
  • Familiarity with RESTful APIs and integrating LLM providers like OpenAI or Anthropic.
  • Knowledge of vector databases (e.g., Pinecone, Milvus, or ChromaDB) and retrieval-augmented generation (RAG) workflows.
  • Competency in Jupyter Notebooks and CLI operations for deployment and troubleshooting.
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What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

82%

of AI & LLM Observability: Monitoring, Tracing & Debugging Production AI Systems certified professionals report career advancement within 6 months

Salary Impact

+30%

Average salary increase reported after obtaining the AI & LLM Observability: Monitoring, Tracing & Debugging Production AI Systems certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • LLM Engineer
  • Generative AI Engineer
  • AI Deployment Specialist
  • MLOps Engineer
  • AI Solutions Architect
  • AI Observability Engineer

Companies Hiring

5,000+
Microsoft Google Amazon Accenture Deloitte Infosys Wipro Goldman Sachs JPMorgan Chase IBM

and 5,000+ organizations worldwide seeking AI & LLM Observability: Monitoring, Tracing & Debugging Production AI Systems certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

18,400+
Verified Reviews
4.9 / 5
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95%
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1M+
Professionals Trained
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified

Frequently Asked Questions

Everything you need to know about the AI & LLM Observability: Monitoring, Tracing & Debugging Production AI Systems training course

Is the certification exam included in the course fee for AI & LLM Observability: Monitoring, Tracing & Debugging Production AI Systems, and what is the exam cost if separate?
The certification exam is not included in the AI & LLM Observability: Monitoring, Tracing & Debugging Production AI Systems course fee. You may purchase the exam voucher as an optional add-on for USD 55. This Koenig Original standard ensures you prepare thoroughly with official materials before attempting your proctored assessment.
What training formats are available for this course, and is Guaranteed-to-Run scheduling offered?
Koenig offers AI & LLM Observability: Monitoring, Tracing & Debugging Production AI Systems via live online, 1-on-1, classroom, and self-paced Flexi formats. All formats feature Guaranteed-to-Run scheduling. This 24-hour course includes expert-led instruction and official courseware, helping global professionals master production AI monitoring workflows on their own preferred schedule.
How long is lab access provided, and what environment is used for hands-on practice?
You receive 30 days of cloud-based lab access for AI & LLM Observability: Monitoring, Tracing & Debugging Production AI Systems. These secure environments allow real-time practice with MLflow, LangChain, Prometheus, and Grafana. You will configure tracing and debug production systems using OpenAI and Hugging Face, ensuring immediate, hands-on application of observability techniques.
What is Koenig's rescheduling and cancellation policy for this course?
Koenig allows free rescheduling for AI & LLM Observability: Monitoring, Tracing & Debugging Production AI Systems with 10 days' notice; changes within 10 days incur a 50% fee. Cancellations 15 days prior qualify for a full refund. Each enrollment permits one reschedule, ensuring operational flexibility for professionals managing dynamic, fast-evolving AI engineering roles.
What is the format, number of questions, passing score, and time limit for the certification exam?
The AI & LLM Observability: Monitoring, Tracing & Debugging Production AI Systems exam includes 50–60 multiple-choice and scenario-based questions. You have 90 minutes to achieve a 70% passing score. This Koenig Original assessment validates your practical skills in monitoring, tracing, and debugging LLMs using tools like MLflow and Prometheus in real-world environments.
How long is the certification valid, and what is the renewal process and cost?
The Koenig Original AI & LLM Observability: Monitoring, Tracing & Debugging Production AI Systems certification is valid for three years. Renew by passing a recertification exam or earning 20 continuing education credits for a USD 55 fee. This process ensures your expertise in modern MLOps tooling remains current and highly relevant.
What post-training support does Koenig provide after course completion?
Koenig provides 30 days of post-training support for AI & LLM Observability: Monitoring, Tracing & Debugging Production AI Systems. You receive session recordings, 6 hours of expert trainer consultation, practice tests, and extended lab access. This ensures your continued skill development and readiness for implementing observability frameworks in complex enterprise AI deployments.
What prerequisites or prior experience are recommended for enrolling in this course?
We recommend proficiency in Python, ML frameworks like PyTorch or TensorFlow, and familiarity with MLflow and LangChain. Understanding NLP, transformer models, REST APIs, and cloud platforms is vital. These prerequisites ensure you successfully engage with the intensive lab exercises for AI & LLM Observability: Monitoring, Tracing & Debugging Production AI Systems.
What are the typical job roles and salary impact after completing this course?
Graduates often secure roles as LLM Engineers or MLOps Engineers, with salaries ranging from $140,000 to $200,000 annually. Completing AI & LLM Observability: Monitoring, Tracing & Debugging Production AI Systems supports a 30% average salary increase. Notably, 82% of certified professionals report career advancement within six months due to high demand for these specialized skills.
How does Koenig's training compare to self-study for mastering AI & LLM observability?
Koenig’s training provides structured, expert-led instruction and 30-day lab access, which is superior to unstructured self-study. By mastering MLflow, Prometheus, and Grafana through AI & LLM Observability: Monitoring, Tracing & Debugging Production AI Systems, you gain verified credentials and mentorship. This guided approach significantly accelerates your job readiness and technical mastery compared to isolated learning.
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