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Master Large language models (LLM) Certification

Koenig delivers hands-on Large language models (LLM) training. Build retrieval-augmented generation systems, fine-tune models using Hugging Face, and deploy secure AI agents with LangChain certification.

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Large language models (LLM)

Explore Large language models (LLM) certification and training courses — delivered live by certified instructors.

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Browse all certification courses across Microsoft, Cisco, AWS, CompTIA, VMware and more
Showing 17 courses
Associate
ChatGPT & OpenAI API: RAG (FAISS) & Fine-Tuning
4 days · 32hrs
8,952+ 4.7 USD 1,400
View Course
Associate
LLM Security: OWASP Top 10 & Prompt Injection
5 days · 40hrs
1,968+ 4.8 USD 1,700
View Course
Associate
Enterprise AI & LLM Engineering Capability Program
10 days · 80hrs
3,191+ 4.6 USD 3,100
View Course
Associate
AI & LLM Evaluation: Testing, Benchmarking & Quality Assurance
7 days · 56hrs
2,868+ 4.8 On Request
View Course
Associate
AI & LLM Observability: Monitoring, Tracing & Debugging Production AI Systems
8 days · 64hrs
6,035+ 4.5 On Request
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Associate
Explainable AI (XAI): Interpretability Techniques for ML & LLM Systems
7 days · 56hrs
2,355+ 4.5 On Request
View Course
Fundamentals
Hugging Face: Transformers, Datasets & Pipelines
1 day · 8hrs
3,130+ 4.5 On Request
View Course
Associate
Python for ML: NumPy, pandas & scikit-learn
1 day · 8hrs
3,610+ 4.5 USD 600
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Associate
MLflow: LLM Tracing & Prompt Engineering
MLflow 3 days · 24hrs
5,789+ 4.9 On Request
View Course
Associate
Deploying Small Language Models
3 days · 24hrs
1,852+ 4.7 On Request
View Course
Associate
Certified Forward Deployed Engineer (CFDE) (Global Skill Development Council (GSDC))
7 days · 50hrs
7,861+ 4.6 On Request
View Course
Associate
Agentic AI Professional Certification (General Applications)
5 days · 36hrs
2,550+ 4.5 On Request
View Course
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Large language models (LLM) Certification Training with Koenig Solutions

Course Overview

What is Large language models (LLM)?

Large language models (LLM) are advanced artificial intelligence systems designed to understand, generate, and manipulate human language by leveraging deep learning techniques, particularly transformer architectures. Developed by organizations such as OpenAI, Google, and Meta, they solve complex natural language processing tasks by predicting and producing text based on vast training datasets. These models form the foundation of modern generative AI and are integral to the development of intelligent language applications. Key components include GPT-3, GPT-4, Claude 2, Llama 2, Jurassic-1, and Cohere Command, each optimized for tasks like text generation, translation, summarization, sentiment analysis, and code synthesis. GPT-3 and GPT-4 excel in broad linguistic understanding and conversational AI, while Claude 2 supports long-context processing for technical documentation. Llama 2 offers open-source flexibility, Jurassic-1 enables multilingual capabilities, and Cohere Command focuses on enterprise-grade language processing with support across more than 100 languages. Large language models are designed for data scientists, AI researchers, software developers, and enterprise solution architects who require scalable, adaptable tools for building intelligent language-driven applications. These practitioners benefit from LLMs’ ability to perform diverse NLP tasks with minimal fine-tuning, enabling rapid development of chatbots, content generators, code assistants, and knowledge-based systems.

Transformer Architecture

Explain self-attention, encoder-decoder structure and token processing in Transformers

Python Programming

Write and debug Python scripts for data processing and model training

Deep Learning Frameworks

Use PyTorch and Hugging Face Transformers to build LLM pipelines

Model Training Basics

Configure training loops, loss functions and optimization for neural networks

Data Preparation

Clean, tokenize and format text datasets for LLM pretraining

ML Fundamentals

Apply supervised learning, hyperparameter tuning and evaluation metrics

Who Should Take This Course?

LLM Engineer

Build retrieval-augmented generation systems and fine-tune models using LangChain and Hugging Face

Data Scientist

Apply LLMs to analyze datasets and generate insights using prompt engineering and RAG pipelines

AI Solutions Architect

Design enterprise LLM platforms with secure deployment, governance, and model integration strategies

Machine Learning Engineer

Optimize and deploy scalable LLM inference pipelines using PyTorch, quantization, and GPU acceleration

NLP Engineer

Develop language understanding systems with transformers, BERT, and domain-specific model fine-tuning

Generative AI Specialist

Create AI-driven content applications using GPT models, prompt design, and evaluation frameworks

Career Outcomes

What Large language models (LLM) Certification Opens Up For You

Based on industry data from certified Large language models (LLM) professionals worldwide

38%

salary increase for certified Large language models (LLM) professionals vs non-certified peers

Salary Impact
+24%

Average salary increase reported after obtaining a Large language models (LLM) certification

Typical Salary Range (Global)
Entry
$75,000–$95,000
Mid
$95,000–$120,000
Senior
$120,000–$145,000

*Source: Glassdoor / LinkedIn 2025

Job Roles
  • LLM Engineer
  • Prompt Engineer
  • AI Engineer
  • NLP Engineer
  • GenAI Developer
  • LLM Developer
  • AI Consultant
  • AI Product Manager
  • MLOps Platform Architect
  • AI Ethics Specialist
Companies Hiring
Google Microsoft Meta Accenture Deloitte Amazon Web Services PwC Infosys TCS Flipkart Freshworks Razorpay Sarvam AI Krutrim Booz Allen Hamilton Huntington Ingalls Industries

and 5,000+ organisations worldwide seeking Large language models (LLM) certified professionals

The building blocks every Large language models (LLM) solution is made of

01
GPT-4o
GPT-4o is a multimodal large language model that accepts text and image inputs to generate text outputs. Practitioners build conversational AI, coding assistants, and content generation tools with it.
02
Claude 3.5 Sonnet
Claude 3.5 Sonnet is a high-speed, intelligent LLM optimized for enterprise workloads. Practitioners build data processing pipelines, customer support systems, and coding agents with it.
03
Gemini 1.5 Pro
Gemini 1.5 Pro is a multimodal model with long-context understanding. Practitioners build document analysis, video reasoning, and AI agent systems with it.
04
Llama 3
Llama 3 is an open-source large language model with instruction-tuned variants. Practitioners build custom AI agents, fine-tuned applications, and synthetic data generators with it.
Vector Stores
Vector stores are specialized databases that index text embeddings for semantic search. These tools enable retrieval-augmented generation and provide essential long-term memory for Large language models (LLM) applications.
APIs & SDKs
Connect Large language models (LLM) to your applications using OpenAI-compatible endpoints and language-specific SDKs. We support 12+ providers, including OpenAI, Google, and Anthropic, to streamline your development workflow.
✦ Sample Certificate

Your Large language models (LLM) Certification Awaits

See what your official Large language models (LLM) certification looks like. Download a sample — then let our advisors map the fastest path to earning the real one.

Sample Large language models (LLM) certification issued by Koenig Solutions — official Microsoft Authorized Learning Partner
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Learning Formats

Learning That Fits Your Life

Four formats. One quality standard. Every option comes with the same expert instructors, official courseware, and money-back guarantee.

Classroom Training Most Popular

Classroom Training

Traditional, instructor-led learning in popular global destinations.

Classroom Training

  • Hands-on lab sessions
  • Face-to-face with expert instructors
  • Global training centers
Live Online Classes Best Value

Live Online Classes

Flexible virtual learning with expert instructors from the comfort of your own space.

Live Online Classes

  • Live instructor-led sessions
  • Interactive Q&A & labs
  • Train from anywhere
Fly-Me-A-Trainer (FMAT) Fastest

Fly-Me-A-Trainer (FMAT)

Flexible on-site learning for larger groups. Fly an expert to your location anywhere in the world.

Fly-Me-A-Trainer (FMAT)

  • Expert trainer at your site
  • Custom schedule & pace
  • Any location worldwide
Flexi (Self-Paced) Most Flexible

Flexi (Self-Paced)

Self-paced learning with edited lectures, courseware, hands-on labs, and optional doubt clearing sessions.

Flexi (Self-Paced)

  • Edited video lectures
  • Hands-on labs & courseware
  • Optional doubt clearing sessions
1-on-1 Training Most Focused

1-on-1 Training

Dedicated instructor assigned exclusively to you for maximum personalisation and knowledge retention.

1-on-1 Training

  • Personalised schedule
  • Instructor adapts to your pace
  • Max knowledge retention
Customised Programmes Bespoke

Customised Programmes

Bespoke curricula tailored to your tech stack, business processes, and learning goals.

Customised Programmes

  • Custom course content
  • Fits your tech stack
  • Aligned to business goals
Webinar as a Service New

Webinar as a Service

Professionally hosted live webinars delivered to your global workforce at scale.

Webinar as a Service

  • Global workforce delivery
  • Live hosted sessions
  • Scalable & trackable
Qubits Assessment

Qubits

AI-powered assessments to benchmark skills, identify gaps, and measure training ROI.

Qubits

  • Skill benchmarking
  • Gap identification
  • Training ROI measurement
The Honest Comparison
How Koenig Stacks Up Against Every Alternative

Every factor that determines whether you actually pass your Large language models (LLM) exam — rated across every training format available.

Koenig
Official ALP Partner
12
/12 criteria ✓
ALP Provider
Other authorised partner
5
/12 criteria
Legacy Provider
Traditional classroom
2
/12 criteria
Self-Paced Platform
On-demand video
2
/12 criteria
Free Platform
Self-study / free tier
4
/12 criteria
Criteria Koenig ALP Provider Legacy Provider Self-Paced Platform Free Platform
Trainer Expertise & Certification
MCT-Certified Instructors
Live Instructor-Led Training Partially available Partially available
1-on-1 Personalized Coaching Partially available
NVIDIA Official Authorization
Official NVIDIA ALP Status
NVIDIA Official Courseware Partially available Partially available
NVIDIA Learning Credits Accepted Accepted (Exclusive Koenig partnership status) Not accepted Not accepted Not accepted Not accepted
Flexibility & Global Access
Any-Day/Flexi Start Dates
On-Site or Fly-Me Training Partially available Partially available
Global Delivery Reach Partially available Partially available
Results & Learner Trust
Certification Support Includes exam prep materials Includes exam prep materials Not included Not included Not included
Entry Price (Fundamentals) ~$745 · best value ~$1,500+ $15-30/mo Free Free
Verified Learner Reviews 18,400+ · 4.9★ Limited N/A N/A N/A

Data sourced from public pricing pages and review platforms. Accurate as of March 2026. Partial = available in select regions only.

Recognition

Awards & Recognition

Recognized by global vendors and quality bodies for training excellence

10+
Awards & Certifications
6+
Global Partners
15 Yrs
Great Place to Work
Microsoft Partner of Year
Winner of Microsoft Training Services Partner of the Year Award

Winner of Microsoft Training Services Partner of the Year Award

2025
Winner of Microsoft's ANZ Superstar Campaign

Winner of Microsoft's ANZ Superstar Campaign

2024
Winner of Microsoft's Asia Superstar Campaign

Winner of Microsoft's Asia Superstar Campaign

2022
Finalist – AWS Partner of the Year

Finalist – AWS Partner of the Year

2024
Winner of EC-Council ATC of the Year Award

Winner of EC-Council ATC of the Year Award

2024
Winner of the PECB Titanium Partner Award

Winner of the PECB Titanium Partner Award

2024
Certified as a Great Place to Work
Great Place to Work

Certified as a Great Place to Work

2011–2025
Winner of RedHat Gold Partner of the Year – Non-Retail (GLS India)

Winner of RedHat Gold Partner of the Year – Non-Retail (GLS India)

2025
Winner of RedHat Gold Partner of the Year – Non-Retail (GLS India)

Winner of RedHat Gold Partner of the Year – Non-Retail (GLS India)

2024
Winner of the Red Hat Partner of the Year Award

Winner of the Red Hat Partner of the Year Award

2023
Reviews

What our 500K+ alumni say

Verified reviews from learners certified on Azure, AI, Security, and more.

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
  • ★★★★★

    “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

Got Questions? We've Got Answers.

Everything you need to know about Large language models (LLM) certification training with Koenig Solutions.

Large language models (LLM) are deep learning models based on the Transformer architecture, pre-trained on vast text data to understand and generate human-like language. They use self-attention mechanisms to process input sequences in parallel, enabling tasks like text generation, translation, and reasoning. Major models include GPT, BERT, and PaLM, with parameters ranging from billions to hundreds of billions.
Large language model training is designed for data scientists, AI engineers, software developers, and IT professionals seeking to build, fine-tune, or deploy LLMs. It suits beginners with foundational Python and machine learning knowledge as well as experienced practitioners aiming to master advanced topics like prompt engineering, RAG, and model optimization.
Learners need proficiency in Python, a basic understanding of machine learning concepts, and familiarity with neural networks and NLP fundamentals. Prior exposure to frameworks like TensorFlow or PyTorch is beneficial. No formal degree is required, but hands-on coding experience ensures success in labs involving Hugging Face, LangChain, and transformer models.
Koenig's LLM training prepares learners for Koenig Original certifications such as the Advanced Techniques in LLM & Its Deployment and Generative AI Specialty exams. These validate skills in model fine-tuning, retrieval-augmented generation, deployment using LangChain and MLflow, and responsible AI practices aligned with industry standards.
The Koenig Original LLM certification exam features 50–60 multiple-choice and scenario-based questions with a 90-minute duration and a 70% passing score. It evaluates practical skills in prompt engineering, model deployment, and fine-tuning. The exam is valid for three years and can be renewed with 20 CE credits or a retake.
LLM training at Koenig ranges from 24 to 40 hours, delivered via live online, 1-on-1, classroom, or self-paced Flexi formats. All public batches are Guaranteed-to-Run, ensuring start dates are honored even with a single participant. Labs use cloud-based environments with Hugging Face, LangChain, and Azure AI for real-world practice.
Still have questions?
Talk to a Large language models (LLM) certification advisor — free, no obligation.
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Across 50+ Countries

From our headquarters in India to training centers across UAE, Iraq, Saudi Arabia, UK, USA, Singapore, Australia, and more — Koenig delivers Microsoft certification training in 50+ countries.

50+
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500K+
Trained
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Years
95%
Pass Rate
Koenig training locations worldwide