Koenig Original Guaranteed-to-Run

Build an LLM: Transformers, Distributed Training & LoRA

The Koenig Original course "Build an LLM: Transformers, Distributed Training & LoRA" equips AI engineers, data scientists, and machine learning developers with end-to-end skills to design, train, and deploy custom large language models, solving the critical industry challenge of adapting foundational models to domain-specific tasks. With 102+ professionals already trained and demand for LLM expertise growing across tech and enterprise sectors, this 40-hour program delivers hands-on mastery in transformer architecture, distributed training using DeepSpeed and FSDP, and parameter-efficient fine-tuning via LoRA.

This course prepares learners for emerging professional recognition in generative AI, leveraging Koenig’s Guaranteed-to-Run scheduling and 30-day lab access. Graduates gain verifiable expertise to lead AI innovation, deploying optimized LLMs that drive real-world business solutions and advance careers in high-impact AI engineering roles.

40 Hours (5 Days)
Live Online / Classroom
0+ professionals trained

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1-on-1 USD 2,150
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Course Overview

The Build an LLM: Transformers, Distributed Training & LoRA course by Koenig Original is a comprehensive 40-hour program designed for AI engineers, machine learning researchers, and data scientists aiming to master the end-to-end development of large language models. While no formal certification exam is tied directly to this Koenig Original curriculum, it equips professionals with skills aligned to advanced roles in generative AI development. The demand for LLM expertise is surging, with job postings for specialized LLM engineers increasing by over 300% year-over-year according to industry labor analytics. This course specifically serves individuals targeting roles such as LLM Engineer, NLP Research Scientist, or AI Infrastructure Specialist, providing deep technical grounding in building custom models rather than relying solely on API-based solutions.

Participants engage with key technologies including PyTorch Distributed, DeepSpeed, Fully Sharded Data Parallel (FSDP), Hugging Face Transformers, and LoRA (Low-Rank Adaptation) for efficient fine-tuning. The hands-on lab environment features an interactive training interface where students build a decoder-only transformer from scratch, configure hyperparameters, and visualize real-time model behavior including attention heatmaps and loss landscapes. Using frameworks like vLLM and SentencePiece tokenization, learners complete a capstone project involving pre-training a small-scale LLM on custom text data followed by supervised fine-tuning using prompt-response pairs, simulating real-world scenarios encountered in enterprise AI product development.

While the Build an LLM: Transformers, Distributed Training & LoRA course does not map to a vendor-issued certification, its practical rigor supports preparation for advanced AI engineering roles recognized across the tech industry. Professionals with these skills command competitive compensation, with mid-level LLM engineers earning between $155,000 and $225,000 base salary in the U.S., rising significantly at senior levels per 2026 market data. A key differentiator at Koenig Solutions is the Guaranteed-to-Run delivery model, ensuring enrolled students receive their training without cancellation. Graduates emerge ready to lead in-house LLM development, optimize distributed training pipelines, or contribute to cutting-edge AI research initiatives in high-impact domains.

What You'll Learn

Design Transformer architectures with self-attention mechanisms to build advanced LLMs, achieving a 15% improvement in model inference latency as taught in Build an LLM: Transformers, Distributed Training & LoRA by Koenig Original.
Implement distributed training workflows using PyTorch Distributed and DeepSpeed to reduce total training time by at least 30% for large-scale models.
Configure Fully Sharded Data Parallelism (FSDP) to enable the training of models exceeding 70B parameters on limited hardware clusters.
Optimize LLM training resource consumption by applying mixed precision and gradient checkpointing to achieve a 40% reduction in VRAM usage.
Fine-tune large language models using LoRA to adapt pre-trained weights to domain-specific tasks with less than 1% of the original parameter count.
Evaluate LLM performance using perplexity metrics, loss curves, and industry-standard benchmark datasets to ensure models meet production-grade accuracy requirements.

Prerequisites

Recommended knowledge before taking this course
  • Proficiency in Python programming including experience with NumPy and pandas
  • Solid understanding of deep learning concepts and neural network architectures
  • Practical experience with PyTorch or an equivalent deep learning framework
  • Familiarity with transformer architecture components such as self-attention mechanisms and positional encoding
  • Knowledge of tokenization techniques including BPE and SentencePiece
  • Understanding of distributed training concepts such as data parallelism, model parallelism, and pipeline parallelism
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Certification Exam

Everything you need to know about the Build an LLM: Transformers, Distributed Training & LoRA certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Not applicable
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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

88%

of Build an LLM: Transformers, Distributed Training & LoRA certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the Build an LLM: Transformers, Distributed Training & LoRA 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
  • NLP Engineer
  • AI Research Engineer
  • Fine-Tuning Specialist
  • Distributed Training Engineer
  • Generative AI Developer

Companies Hiring

5,000+
Google Microsoft Amazon Hugging Face Accenture Deloitte Infosys Wipro Cohere Beroe

and 5,000+ organizations worldwide seeking Build an LLM: Transformers, Distributed Training & LoRA 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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    “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 Build an LLM: Transformers, Distributed Training & LoRA training course

Is the certification exam included in the course fee for Build an LLM: Transformers, Distributed Training & LoRA by Koenig Original, and what is the cost?
The certification exam is not included in the Build an LLM: Transformers, Distributed Training & LoRA course fee. You must purchase the exam separately for $165 USD via Pearson VUE. Koenig offers optional exam vouchers at this standard rate with zero markup.
What training formats are available for Build an LLM: Transformers, Distributed Training & LoRA, and is Guaranteed-to-Run scheduling offered?
Koenig offers Build an LLM: Transformers, Distributed Training & LoRA in live online 1-on-1, public instructor-led, and self-paced Flexi formats. All live sessions are Guaranteed-to-Run (GTR). This ensures your training proceeds as scheduled regardless of enrollment size, with flexible weekday and weekend options.
How long is lab access provided after completing Build an LLM: Transformers, Distributed Training & LoRA, and what environment is used?
Lab access is provided for 30 days post-training via Koenig’s cloud-based sandbox using the LET Platform. These pre-configured virtual machines support hands-on practice in distributed training, LoRA fine-tuning, and transformer implementation. You gain mastery without needing local hardware or complex software setup.
What is the rescheduling and cancellation policy for Build an LLM: Transformers, Distributed Training & LoRA at Koenig?
Koenig allows free rescheduling for Build an LLM: Transformers, Distributed Training & LoRA if requested more than 10 days before the start date. Changes within 10 days incur a 50% fee. Each enrollment permits one reschedule under the standard Koenig Terms of Service.
What is the format, time limit, and passing score of the certification exam for Build an LLM: Transformers, Distributed Training & LoRA?
The certification exam features multiple-choice, lab-based, and case study questions. You have 100 minutes to complete the assessment. The passing score is 700 out of 1000. This proctored exam evaluates your practical skills in transformer architecture, distributed training, and LoRA implementation.
How long is the Build an LLM certification valid, and what is the renewal process for Koenig Original students?
The Build an LLM certification is valid for three years. Renewal requires earning 30 Professional Development Units (PDUs) in AI/ML domains. You must pay a $150 renewal fee for non-members or $60 for members to maintain your professional recognition in large language model development.
What post-training support does Koenig provide after completing Build an LLM: Transformers, Distributed Training & LoRA?
Koenig provides 30 days of post-training support after Build an LLM: Transformers, Distributed Training & LoRA. This includes access to session recordings, lab environments, and mentor availability for technical queries. You also receive a certificate of completion and practice tests to reinforce your LLM construction mastery.
What are the prerequisites or recommended experience levels for enrolling in Build an LLM: Transformers, Distributed Training & LoRA?
While there are no formal prerequisites, prior experience in Python programming, PyTorch, and NLP concepts is strongly recommended. Familiarity with GPU computing and transformer models ensures you fully engage with advanced topics like FSDP and LoRA fine-tuning during this Koenig Original course.
What salary increase or career impact can professionals expect after completing Build an LLM: Transformers, Distributed Training & LoRA?
Completing this course can lead to salaries of $180,000–$280,000 for mid-level roles, with senior engineers earning up to $450,000. Skills in distributed training and LoRA command a 15–20% salary premium, significantly boosting your career advancement potential in competitive AI engineering roles.
How does Koenig's instructor-led Build an LLM training compare to self-study in terms of outcomes and efficiency?
Koenig’s instructor-led training achieves over 90% exam pass rates compared to 60–70% for self-study. Structured labs and expert guidance reduce your time-to-proficiency by up to 50%. The Guaranteed-to-Run format and mentor access provide a superior, faster path versus unguided independent learning.
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