Koenig Original Guaranteed-to-Run

AI Engineering: ML, Deep Learning & LLM Ops

The AI Engineering: ML, Deep Learning & LLM Ops course by Koenig Original equips machine learning engineers, data scientists, and AI developers with the skills to operationalize AI models in production, solving the critical industry challenge of bridging data science and deployment. With 1.6 million global AI positions open and only 518,000 qualified professionals, this training delivers hands-on expertise in MLOps, neural networks, and large language model deployment across cloud platforms.

This Koenig Original program prepares learners for advanced AI engineering roles, leveraging official courseware and Guaranteed-to-Run scheduling. With 30-day lab access, participants master scalable model deployment and automation, positioning them to lead enterprise AI initiatives and advance into senior roles with median US base salaries exceeding $190,000.

80 Hours (10 Days)
Live Online / Classroom
0+ professionals trained

Training Formats & Pricing

1-on-1 USD 3,950
Dedicated instructor, your schedule Fastest
Public Batch USD 3,100
Group class, fixed schedule Most Popular
Self-Paced On Request
Recorded sessions, learn anytime Best Value

100% Happiness Guarantee · Free Rescheduling · Secure Payment

Course Overview

The AI Engineering: ML, Deep Learning & LLM Ops course by Koenig Original is a comprehensive training program designed for data scientists, machine learning engineers, and AI solutions architects aiming to master the full lifecycle of AI system development. While not tied to a specific certification exam, this course equips professionals with the advanced skills needed to design, deploy, and manage production-grade AI applications, particularly in the domains of machine learning, deep learning, and large language model operations. With over 5,000 organizations worldwide actively seeking AI engineering talent, and 77% of enterprises already exploring or deploying generative AI solutions, this training addresses a critical industry demand. It serves as essential preparation for roles such as AI Specialist, Prompt Engineer, and Generative AI Developer, ensuring learners are ready to meet the challenges of modern AI implementation.

Participants gain hands-on experience with key technologies including GANs, Retrieval-Augmented Generation (RAG), LangChain, Hugging Face Transformers, MLflow, and Docker, all within a secure, instructor-led cloud-based lab environment. The course features practical labs where students build functional LLM systems such as question-answering engines and prompt-based AI applications using real-world scenarios. One capstone project involves creating a retrieval-augmented system that integrates external data sources with an LLM to improve response accuracy—mirroring actual implementations in modern AI-driven organizations. Using official Koenig courseware, learners configure and fine-tune models in interactive sessions that simulate enterprise deployment challenges, ensuring immediate application of theoretical knowledge in a realistic cloud console setting.

This AI Engineering: ML, Deep Learning & LLM Ops training by Koenig Original prepares professionals for emerging industry recognition in generative AI and advanced machine learning, enhancing credibility with a verifiable credential from a globally recognized provider. Graduates report career advancement within six months, with certified professionals commanding salaries ranging from $115,000 to $180,000 annually, depending on experience level. A key differentiator is Koenig’s Guaranteed-to-Run delivery model, which ensures scheduled classes proceed even with a single registrant, supported by expert instructors and flexible 1-on-1 training options. Upon completion, learners are positioned to lead AI innovation, equipped to design, evaluate, and deploy scalable AI systems that drive digital transformation across industries.

What You'll Learn

Design advanced AI Engineering systems with Koenig Original frameworks, enabling efficient deployment of machine learning models and deep learning solutions.
Implement Retrieval-Augmented Generation (RAG) with LangChain to enhance AI system responses, a key skill in modern AI engineering.
Fine-tune open-source large language models such as Meta's LLaMA and Alibaba's Qwen, boosting your ability to customize AI for specific tasks.
Evaluate large language models effectively using MLflow in Koenig Original labs, ensuring optimal performance and reliability.
Build sophisticated LangChain agents and conversational AI applications, improving user interaction and automation.
Secure and deploy large language model applications using Koenig Original methodologies, safeguarding data and ensuring compliance for enterprise AI solutions.

Skills You'll Gain

Python Programming Machine Learning Basics Neural Networks Deep Learning TensorFlow Models PyTorch Frameworks Transformers Library Hugging Face Models Large Language Models LLM Engineering LLMOps Deployment MLOps Pipelines Generative AI Computer Vision Natural Language Processing Reinforcement Learning AI Agent Development

Prerequisites

Recommended knowledge before taking this course
  • Basic understanding of programming concepts (preferably in Python)
  • Familiarity with mathematical concepts, particularly in statistics and probability
  • An interest in data science and machine learning principles
  • Willingness to engage in hands-on labs and practical exercises
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Certification Exam

Everything you need to know about the AI Engineering: ML, Deep Learning & LLM Ops certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Unlimited attempts allowed for practical project submission
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AI Engineering: ML, Deep Learning & LLM Ops

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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 Engineering: ML, Deep Learning & LLM Ops certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the AI Engineering: ML, Deep Learning & LLM Ops 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
  • AI/ML Engineer
  • Deep Learning Engineer
  • MLOps Engineer
  • LLM Application Developer
  • Generative AI Developer
  • AI Solutions Architect

Companies Hiring

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

and 5,000+ organizations worldwide seeking AI Engineering: ML, Deep Learning & LLM Ops 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
Average Rating
95%
Would Recommend
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 Engineering: ML, Deep Learning & LLM Ops training course

Is the certification exam included in AI Engineering: ML, Deep Learning & LLM Ops by Koenig Original, and what is the exam fee if separate?
The Koenig Original certification for AI Engineering: ML, Deep Learning & LLM Ops includes the exam fee within the course price. You avoid the typical USD 200-300 vendor exam costs, as Koenig provides full assessment and preparation at no additional charge.
What delivery modes does Koenig offer for AI Engineering: ML, Deep Learning & LLM Ops, including Guaranteed-to-Run?
Koenig Original offers live online 1-on-1 training for GBP 850, public batches for GBP 650, and self-paced options for USD 199. Every format uses Guaranteed-to-Run scheduling, ensuring your AI Engineering: ML, Deep Learning & LLM Ops training proceeds as planned.
How long is lab access provided for AI Engineering: ML, Deep Learning & LLM Ops and what environment is used?
Koenig Original provides 30 days of cloud sandbox access for AI Engineering: ML, Deep Learning & LLM Ops. This vendor-hosted environment allows you to practice ML, deep learning, and LLM Ops tasks immediately without needing local machine configuration.
What is Koenig's rescheduling policy for AI Engineering: ML, Deep Learning & LLM Ops and any fees?
Koenig Original permits one free reschedule for AI Engineering: ML, Deep Learning & LLM Ops with 10 days' notice. Changes within 10 days incur a 50% fee, though the Happiness Guarantee ensures maximum flexibility for your professional training journey.
What is the exam format, number of questions, passing score, and time limit for the AI Engineering certification by Koenig Original?
The AI Engineering: ML, Deep Learning & LLM Ops certification by Koenig Original features 40 MCQs and 2 case studies. You have 90 minutes to achieve a 70% passing score, validating your practical ML and LLM Ops expertise.
How long is the AI Engineering: ML, Deep Learning & LLM Ops certification valid and what is the renewal process?
Your Koenig Original certification for AI Engineering: ML, Deep Learning & LLM Ops is valid for three years. Renew by earning 20 CEUs or retaking the exam for USD 150, with no recurring annual maintenance fees required.
What post-training support does Koenig provide after completing AI Engineering: ML, Deep Learning & LLM Ops?
Koenig Original supports your AI Engineering: ML, Deep Learning & LLM Ops success with 30-day mentor access, community forums, and one free course retake. This ensures you receive ongoing professional guidance for your complex LLM Ops projects.
What prerequisites or experience are needed for AI Engineering: ML, Deep Learning & LLM Ops by Koenig Original?
For AI Engineering: ML, Deep Learning & LLM Ops, Koenig Original recommends basic Python and statistics knowledge. While no prior ML experience is mandatory, 1-2 years in data roles helps you master deep learning and LLM Ops concepts faster.
What salary or career impact follows completing AI Engineering: ML, Deep Learning & LLM Ops?
Completing AI Engineering: ML, Deep Learning & LLM Ops with Koenig Original prepares you for roles averaging USD 114,000 annually. 85% of graduates secure promotions or new positions in MLOps and LLM Ops fields within six months.
How does AI Engineering: ML, Deep Learning & LLM Ops by Koenig Original compare to self-study options?
Koenig Original provides structured AI Engineering: ML, Deep Learning & LLM Ops training in 40-60 hours, compared to 200+ hours of self-study. With 30-day labs and expert mentorship, you achieve 3x faster skill application than using free resources alone.
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