Koenig Original Guaranteed-to-Run

AI & LLM Evaluation: Testing, Benchmarking & Quality Assurance

AI & LLM Evaluation: Testing, Benchmarking & Quality Assurance by Koenig Original equips AI engineers and quality assurance specialists with systematic methods to test, benchmark, and assure LLM quality, solving the pain point of unpredictable outputs, bias, and non-determinism in production systems. With over 10,000 professionals upskilled in AI/ML by the vendor, it meets surging demand for reliable AI.

This Koenig Original course prepares learners for the AI & LLM Evaluation Certification through Guaranteed-to-Run dates and hands-on labs, enabling career advancement into senior AI quality assurance roles.

56 Hours (7 Days)
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0+ professionals trained

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Course Overview

The Koenig Original course AI & LLM Evaluation: Testing, Benchmarking & Quality Assurance is designed for AI developers, MLOps engineers, and quality assurance professionals tasked with deploying reliable large language models in production environments. With 85% of AI models failing to transition successfully from development to production, this course addresses a critical industry challenge by equipping learners with systematic evaluation techniques, LLM-as-a-judge metrics, and automated validation workflows. Participants gain targeted preparation for real-world deployment scenarios, mastering the tools and methodologies needed to ensure model performance, safety, and consistency—skills in high demand as enterprises accelerate their generative AI initiatives.

This hands-on training immerses students in key technologies including MLflow, Giskard, Trubrics, Jupyter Notebooks, and Python-based evaluation frameworks within a cloud-based lab environment. Learners configure automated evaluation pipelines using MLflow’s Tracking URI and Model Registry, implement the MLflow Evaluate API for auditing model outputs, and integrate third-party tools for robust validation. A core project involves building a comprehensive evaluation suite for a Retrieval-Augmented Generation (RAG) system, where students assess retrieval relevance, groundedness, and response correctness—mirroring real-world AI quality assurance workflows. Through guided labs, attendees gain practical experience in prompt engineering optimization, bias detection, and deploying MLflow servers for enterprise-grade LLM management.

Graduates of the AI & LLM Evaluation: Testing, Benchmarking & Quality Assurance course are equipped with in-demand skills that align with industry best practices and prepare them for advanced roles in AI engineering and MLOps. With AI adoption surging across sectors, professionals with expertise in LLM validation command competitive salaries, with AI engineers earning median compensation of $145,000 in North America. Koenig Original differentiates this offering with 1-on-1 instructor support, Guaranteed-to-Run scheduling, and 30-day lab access, ensuring mastery of practical skills. Upon completion, learners are positioned to lead AI quality initiatives, reduce model failure rates, and drive successful deployment of trustworthy generative AI systems in enterprise environments.

What You'll Learn

Architect MLflow tracking and model registry workflows to manage Large Language Model (LLM) evaluation lifecycles.
Quantify generative AI performance by deploying industry-standard MLflow evaluation pipelines.
Optimize model reliability by building automated validation workflows for LLM output testing.
Analyze LLM outputs using the MLflow Evaluate API and industry-standard metrics to verify accuracy and consistency.
Enhance LLM response quality and relevance by applying advanced prompt engineering techniques within cloud-based sandbox environments.
Secure LLM applications by implementing industry-standard guardrails to meet rigorous compliance and safety requirements.

Skills You'll Gain

LLM Evaluation Prompt Engineering MLflow Evaluation API LLM-as-a-Judge Metrics Evaluation Framework Design Test Suite Creation Golden Set Development Bias Detection in LLMs Hallucination Testing RAG System Evaluation Model Groundedness Assessment Automated Validation Pipelines MLflow Tracing MLflow Model Registry Custom Scorer Implementation AI Quality Assurance Generative AI Testing

Prerequisites

Recommended knowledge before taking this course
  • Proficiency in Python programming for data handling and API integration is essential. This foundation helps you effectively test and benchmark AI & LLM models in the Koenig Original course on AI & LLM Evaluation: Testing, Benchmarking & Quality Assurance.
  • A solid understanding of machine learning metrics like accuracy, precision, recall, and F1 score is crucial. These concepts are vital for evaluating AI & LLM performance, as emphasized in the Koenig Original course on AI & LLM Evaluation.
  • Experience with Hugging Face Transformers library for loading and testing pre-trained language models is recommended. This skill accelerates your ability to assess AI & LLMs effectively in the Koenig Original training program.
  • Knowledge of natural language processing (NLP) tasks such as text classification, named entity recognition, and question answering is important. These NLP tasks form the core of AI & LLM evaluation, as covered in the Koenig Original course.
  • Hands-on experience with Jupyter Notebooks or similar interactive environments enhances your practical skills. This familiarity supports your success in AI & LLM testing and benchmarking in the Koenig Original program.
  • Basic skills in command-line interfaces and Git for version control are necessary. These tools streamline your workflow when conducting AI & LLM quality assurance, as taught in the Koenig Original course.
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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 Evaluation: Testing, Benchmarking & Quality Assurance certified professionals report career advancement within 6 months

Salary Impact

+29%

Average salary increase reported after obtaining the AI & LLM Evaluation: Testing, Benchmarking & Quality Assurance 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

5
  • AI Quality Assurance Engineer
  • LLM Evaluation Specialist
  • AI Testing and Benchmarking Engineer
  • Generative AI QA Analyst
  • AI Model Validation Lead

Companies Hiring

5,000+
Google Microsoft OpenAI Accenture Deloitte Capgemini JPMorgan Chase Goldman Sachs IBM

and 5,000+ organizations worldwide seeking AI & LLM Evaluation: Testing, Benchmarking & Quality Assurance 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.

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Verified Reviews
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95%
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    “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.”

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    “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.”

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  • ★★★★★

    “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 Evaluation: Testing, Benchmarking & Quality Assurance training course

Is the certification exam included in the AI & LLM Evaluation: Testing, Benchmarking & Quality Assurance course fee, and what is the exam cost if separate?
The certification exam is not included in the AI & LLM Evaluation: Testing, Benchmarking & Quality Assurance course fee. You must purchase the voucher separately for approximately $200 USD. This aligns with Koenig Original pricing for specialized AI certifications and is easily added during enrollment.
What training formats are available for the AI & LLM Evaluation course, and is Guaranteed-to-Run scheduling offered?
Koenig offers the AI & LLM Evaluation: Testing, Benchmarking & Quality Assurance course via live online, classroom, and 1-on-1 formats. We provide Guaranteed-to-Run scheduling for all public batches. Self-paced options include 6 months of video access, ensuring you have flexible and reliable learning paths.
How long is lab access provided for the AI & LLM Evaluation course, and what environment is used?
You receive 30 days of post-course lab access via cloud-based sandboxes requiring your OpenAI key. The AI & LLM Evaluation: Testing, Benchmarking & Quality Assurance environment supports hands-on practice with MLflow LLM tracing, evaluation metrics, Giskard, and Trubrics plugins for real-world MLOps.
What is Koenig's rescheduling and cancellation policy for the AI & LLM Evaluation course?
Koenig permits free rescheduling for the AI & LLM Evaluation: Testing, Benchmarking & Quality Assurance course if requested 10 days prior. Changes or cancellations within 10 days incur a 50% fee. Each session is eligible for one reschedule per our Terms of Service.
What is the format, number of questions, passing score, and time limit for the AI & LLM Evaluation certification exam?
The AI & LLM Evaluation: Testing, Benchmarking & Quality Assurance exam features multiple-choice questions, labs, and case studies. You have 60 minutes to complete 40–45 questions. A 70% score is required to pass, meeting industry standards for high-level technical AI certification.
How long is the AI & LLM Evaluation certification valid, and what is the renewal process and cost?
The AI & LLM Evaluation: Testing, Benchmarking & Quality Assurance certification remains valid for two years. Renew by completing the latest course version or passing the updated exam. Renewal costs align with initial pricing, and alumni discounts are available for all returning participants.
What post-training support does Koenig provide after completing the AI & LLM Evaluation course?
Koenig offers 30 days of post-training support for the AI & LLM Evaluation: Testing, Benchmarking & Quality Assurance course. This includes session recordings, expert mentor guidance, 200+ practice questions, and a certificate. You are also eligible for retakes under our Koenig Happiness Guarantee.
What are the prerequisites or recommended experience for enrolling in the AI & LLM Evaluation course?
Prerequisites for the AI & LLM Evaluation: Testing, Benchmarking & Quality Assurance course include basic machine learning knowledge, Python proficiency, and familiarity with precision, recall, and F1-score. Experience with LLMs and MLflow components like Tracking and Registry is strongly recommended for your success.
What career impact or salary increase can professionals expect after completing the AI & LLM Evaluation course?
While specific salary data for this Koenig Original certification is not published, AI engineers and MLOps professionals with these skills report mid-career salaries between $90,000 and $170,000. This reflects the high market demand for AI & LLM Evaluation: Testing, Benchmarking & Quality Assurance expertise.
How does the AI & LLM Evaluation course compare to self-study in terms of effectiveness and outcomes?
The AI & LLM Evaluation: Testing, Benchmarking & Quality Assurance course provides expert-led training, hands-on labs, and Guaranteed-to-Run scheduling. Unlike self-study, you gain 30-day mentor support, 200+ practice questions, and official courseware. These resources significantly improve your exam readiness and practical application of AI quality assurance.
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