Koenig Original Guaranteed-to-Run

LLMOps: Docker, Kubernetes & GitHub Actions CI/CD

The Generative AI Advanced with LLMOps course by Koenig Original equips data scientists, machine learning engineers, and AI developers with advanced skills in deploying and managing large language models to solve the critical industry challenge of unreliable AI outputs. With 77% of enterprises now deploying generative AI, this 24-hour program delivers hands-on labs in prompt engineering, retrieval-augmented generation, and model fine-tuning using open-source frameworks like LangChain and HuggingFace.

This course prepares learners for real-world AI implementation and emerging industry recognition in generative AI, supported by Koenig’s Guaranteed-to-Run scheduling and 30-day lab access. Graduates gain verifiable expertise to lead AI innovation, design robust LLM systems, and drive digital transformation in high-demand roles across technology-driven sectors.

24 Hours (3 Days)
Live Online / Classroom
1+ professionals trained

Training Formats & Pricing

1-on-1 USD 1,450
Dedicated instructor, your schedule Fastest
Public Batch USD 1,150
Group class, fixed schedule Most Popular
Self-Paced USD 199
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Course Overview

The Generative AI Advanced with LLMOps course by Koenig Original is designed for AI engineers, machine learning specialists, and DevOps professionals seeking to master the deployment and operationalization of large language models in production environments. While no formal certification exam is tied directly to this Koenig Original program, the curriculum aligns with industry-recognized practices in LLMOps and prepares learners for advanced roles in generative AI implementation. With 78% of enterprises now adopting AI-driven workflows, demand for professionals skilled in model management, prompt engineering, and scalable AI pipelines has surged, making this training essential for those aiming to lead in AI innovation. This course serves roles such as LLMOps Engineer, AI Application Developer, and AI Solutions Architect, equipping them with the expertise needed to design, monitor, and optimize generative AI systems in enterprise settings.

Participants gain hands-on experience with key technologies including HuggingFace, LangChain, Gradio, Docker, Kubernetes, and vector databases such as Pinecone or FAISS, all within a live lab sandbox environment. The course features over 30 guided labs where students build real-world applications, including developing a Retrieval-Augmented Generation (RAG) system, creating AI agents with LangChain, and deploying full-stack generative AI applications. A capstone project involves constructing a secure, production-ready GenAI application using Docker containerization and Kubernetes orchestration, hosted on a cloud-based lab platform with 30 days of post-training access. These labs emphasize practical skills such as fine-tuning open-source LLMs like Meta’s LLaMA and Alibaba’s Qwen, implementing guardrails for responsible AI, and integrating multimodal inputs into AI workflows.

Completing the Generative AI Advanced with LLMOps program enhances career trajectories, with certified professionals reporting average salary increases of up to 16% and entry-level roles commanding salaries between $90,000 and $115,000 globally. Koenig Solutions supports this learning journey with its Guaranteed-to-Run scheduling model and official courseware, ensuring consistent access to expert-led instruction. Graduates are positioned to take on high-impact roles in AI deployment and MLOps, with organizations increasingly seeking talent capable of bridging the gap between AI development and operational scalability. This training ultimately empowers professionals to lead AI initiatives in forward-thinking enterprises driving digital transformation.

What You'll Learn

Implement Retrieval-Augmented Generation pipelines using LangChain to improve model accuracy and relevance.
Optimize large language model performance by applying quantization techniques to reduce latency and resource consumption.
Evaluate open-source model performance metrics using MLflow for reliable deployment tracking.
Secure Generative AI applications against prompt injection attacks to maintain system integrity and data privacy.
Deploy full-stack Generative AI applications using Docker containers for scalable and portable production environments.
Automate LLMOps workflows by integrating model monitoring and versioning tools into the Generative AI lifecycle.

Skills You'll Gain

Prompt Engineering Model Versioning MLflow Tracking Docker Containers FastAPI Packaging RAG Agents Kubernetes Clusters GitHub Actions Workflows WhyLabs Monitoring Langkit Integration LLM Fine Tuning AI Agent Deployment CI CD Pipelines Production Monitoring Containerized Workflows End to End LLMOps

Prerequisites

Recommended knowledge before taking this course
  • Basic understanding of artificial intelligence and machine learning concepts.
  • Familiarity with programming languages such as Python, as it is commonly used in AI development.
  • Experience with data manipulation and analysis using libraries like Pandas or NumPy.
  • A foundational knowledge of natural language processing (NLP) concepts will be beneficial but is not mandatory.
  • Willingness to explore new technologies and engage with hands-on projects throughout the course.
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Certification Exam

Everything you need to know about the LLMOps: Docker, Kubernetes & GitHub Actions CI/CD certification exam

Exam Details
Exam Name
LLMOps: Docker, Kubernetes & GitHub Actions CI/CD
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Not applicable
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LLMOps: Docker, Kubernetes & GitHub Actions CI/CD

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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Mastering Generative AI and LLMs
Generative AI Fundamentals Generative AI System Architecture Transformer Library Implementation Generative Adversarial Networks Overview Large Language Model Architecture LLM Categorization Strategies Task-Specific Text AI Models Leading Text and Image Models
2
Day 2– Prompt Engineering and LLM Deployment
Prompt Engineering Essentials Advanced Prompting Methodologies LLaMA Text Prompting Workflows LLaMA Image Generation Prompts LLaMA Code Generation Techniques HuggingFace Ecosystem Integration HuggingFace Inference Endpoint Usage Gradio UI Development Basics
3
Day 3– Retrieval-Augmented Generation (RAG) Mastery
RAG Framework Fundamentals LangChain Architecture Overview Embedding and Retrieval Concepts LangChain Chains and Agents Building Basic LLM Applications LangChain Chatbot Development Vector Store Retrieval Systems Advanced LangChain Agent Creation
4
Day 4– Advanced LLM Systems and Fine-Tuning
LangChain RAG Application Build Conversational RAG System Development Tabular Data Question-Answering SQL Database Question-Answering Quantization Technology Introduction Model Weight Optimization Techniques Quantization Modes and Standards LLaMA, Qwen, and Gemma Fine-Tuning
5
Day 5– Model Evaluation and LLMOps Lifecycle
MLflow Framework Introduction MLflow Machine Learning Builds MLflow Deployment Server Management LLM Evaluation using MLflow Hugging Face Model Evaluation Model Versioning and Retraining LLM Deployment CI/CD Pipelines Monitoring and Observability Essentials

What's Included in Your Training

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

Career Outcomes

82%

of LLMOps: Docker, Kubernetes & GitHub Actions CI/CD certified professionals report career advancement within 6 months

Salary Impact

+29%

Average salary increase reported after obtaining the LLMOps: Docker, Kubernetes & GitHub Actions CI/CD 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
  • Generative AI Engineer
  • LLMOps Engineer
  • AI/ML Operations Specialist
  • Generative AI Solutions Architect
  • Prompt Engineering Lead
  • MLOps Engineer

Companies Hiring

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

and 5,000+ organizations worldwide seeking LLMOps: Docker, Kubernetes & GitHub Actions CI/CD 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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  • ★★★★★

    “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.”

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    CISO, Financial Services

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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.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

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  • ★★★★★

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

    Priya S.

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    Cloud Solutions Architect

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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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  • ★★★★★

    “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
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