Koenig Original Guaranteed-to-Run

Data Science & AI: LLMs, Prompt Engineering & RAG

The Data Science & AI: LLMs, Prompt Engineering & RAG course by Koenig Original equips data scientists, AI engineers, and software developers with advanced skills in large language models, prompt engineering, and retrieval-augmented generation to solve real-world challenges like content automation and intelligent system design. With 77% of enterprises now deploying generative AI, this 40-hour program bridges the implementation gap through hands-on labs using LangChain, vector databases, and open-source models.

This Koenig Original training prepares professionals for emerging roles in generative AI development, leveraging Guaranteed-to-Run scheduling and 30-day lab access for flexible, instructor-led practice. Graduates gain expertise in building secure, context-aware AI applications, positioning them to lead innovation and command competitive salaries in high-demand AI careers.

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

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1-on-1 USD 1,450
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Available in all languages
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Public Batch USD 1,150
Group class, fixed schedule
Available in all languages
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Self-Paced USD 199
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Course Overview

The Data Science & AI: LLMs, Prompt Engineering & RAG course by Koenig Original is designed for data scientists, AI engineers, and machine learning developers aiming to master advanced natural language processing techniques. This comprehensive program covers large language models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and agentic AI systems—critical competencies as enterprises increasingly adopt generative AI. With 78% of Fortune 500 companies now deploying NLP solutions, professionals skilled in these areas are in high demand for roles such as NLP Engineer, AI Research Scientist, and Machine Learning Architect. The curriculum bridges the gap between theoretical knowledge and real-world implementation, preparing learners to build context-aware, production-grade AI applications using state-of-the-art frameworks and methodologies.

Participants engage with key technologies including Hugging Face Transformers, LangChain, LangGraph, AutoGen, FAISS, Pinecone, and Chroma within a hands-on lab environment. Students build functional AI systems such as task-specific enterprise chatbots, multi-agent collaboration platforms, and self-verifying research assistants using tools like Gradio and Streamlit. A capstone project involves designing an end-to-end RAG pipeline integrated with agentic workflows, simulating real-world deployment scenarios in enterprise settings. Labs are conducted in a cloud-based environment with access to open-source LLMs like Llama and Mixtral, enabling students to fine-tune models, optimize inference latency, and implement parameter-efficient fine-tuning (PEFT) techniques that reduce memory usage by up to 40% while maintaining performance.

This Koenig Original course prepares learners for advanced AI engineering roles and aligns with industry-recognized practices, including preparation for Hugging Face certification which validates expertise in transformer model deployment. Graduates command competitive salaries, with NLP engineers earning average total compensation of $180K–$300K, and those with LLM and agentic AI skills achieving premiums of 8–15%. As a Koenig differentiator, the course offers 1-on-1 training, Guaranteed-to-Run scheduling, and 30-day lab access with official courseware, ensuring deep mastery. Upon completion, professionals are equipped to lead AI innovation, deploying intelligent, autonomous systems that drive business transformation across industries.

What You'll Learn

Develop precise prompts using Koenig's advanced Prompt Engineering techniques, a key skill for leveraging large language models like GPT-4 in real-world AI projects.
Implement Retrieval Augmented Generation (RAG) with LangChain and vector databases, enhancing AI systems with accurate, context-aware responses for data-driven applications.
Deploy comprehensive GenAI solutions using Docker and Koenig's deployment framework, enabling scalable and reliable AI applications in production environments.
Protect LLM applications against prompt injection and jailbreaking by applying Koenig's robust guardrails, ensuring secure and trustworthy AI deployments.
Coordinate AI agents with LangGraph and Model Context Protocol (MCP), streamlining multi-agent workflows for complex AI tasks and automation.
Track and improve LLM performance in production with LLMOps practices, reducing downtime and increasing AI efficiency for enterprise-level solutions.

Prerequisites

Recommended knowledge before taking this course
  • Proficiency in Python programming for data science and AI applications
  • Knowledge of virtual environments, pip/conda package managers, and Jupyter notebooks
  • Fundamental understanding of Large Language Models (LLMs) and prompt engineering techniques
  • Familiarity with embeddings and vector databases such as Chroma, Pinecone, and Weaviate
  • Experience integrating APIs from OpenAI, Groq, Gemini, or local LLMs for AI workflows
  • Practical skills with LangChain or comparable frameworks for LLM orchestration
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Certification Exam

Everything you need to know about the Data Science & AI: LLMs, Prompt Engineering & RAG 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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Data Science & AI: LLMs, Prompt Engineering & RAG

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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 Data Science & AI: LLMs, Prompt Engineering & RAG certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the Data Science & AI: LLMs, Prompt Engineering & RAG 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
  • Prompt Engineer
  • LLM Engineer
  • Generative AI Specialist
  • RAG Developer
  • AI/ML Data Scientist
  • Machine Learning Engineer

Companies Hiring

5,000+
Google Microsoft OpenAI Accenture Deloitte Infosys JP Morgan Chase Goldman Sachs Amazon Meta

and 5,000+ organizations worldwide seeking Data Science & AI: LLMs, Prompt Engineering & RAG 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 Data Science & AI: LLMs, Prompt Engineering & RAG training course

Is the certification exam included in the Data Science & AI: LLMs, Prompt Engineering & RAG course fee, and what is the cost if separate?
The certification exam is not included in the base fee for Data Science & AI: LLMs, Prompt Engineering & RAG by Koenig Original. You must purchase an exam voucher separately. Standard Koenig pricing for this specialty credential starts at USD 55+, with exact fees varying by your specific region and certification requirements.
What training formats are available for Data Science & AI: LLMs, Prompt Engineering & RAG, and does Koenig offer Guaranteed-to-Run scheduling?
Koenig offers the Data Science & AI: LLMs, Prompt Engineering & RAG course in Live Online, 1-on-1, Public Group, and Self-Paced (Flexi) formats. All options feature Guaranteed-to-Run scheduling. This ensures your training proceeds as planned, even with a single participant, providing reliable access to expert-led instruction without any risk of cancellation.
How long is lab access provided after Data Science & AI: LLMs, Prompt Engineering & RAG enrollment, and what environment is used?
Students receive 30 days of extended access to a cloud-based sandbox lab environment after completing the course. This platform supports practical work with LangChain, vector databases, and open-source LLMs like Llama and Mixtral. It enables real-world implementation of RAG pipelines and agentic workflows within a secure, instructor-guided, and highly professional training setting.
What is the rescheduling and cancellation policy for the Data Science & AI: LLMs, Prompt Engineering & RAG course?
Koenig allows one free rescheduling of the Data Science & AI: LLMs, Prompt Engineering & RAG course if requested more than 7 days before the start date. Cancellations or rescheduling within 10 days incur a 50% fee. This policy ensures fair resource allocation while maintaining the necessary flexibility for learners planning their professional training schedule.
What is the format, number of questions, duration, and passing score of the Data Science & AI: LLMs, Prompt Engineering & RAG exam?
The certification assessment for Data Science & AI: LLMs, Prompt Engineering & RAG typically includes multiple-choice questions, case studies, and practical labs, with a 70% passing score. While specific question counts remain proprietary, evaluations follow Koenig’s professional standards, emphasizing scenario-based tasks and applied knowledge in LLMs, prompt engineering, and RAG systems.
How long is the Data Science & AI: LLMs, Prompt Engineering & RAG certification valid, and what is the renewal process?
The Data Science & AI: LLMs, Prompt Engineering & RAG certification from Koenig Original is valid for 2 years. Renewal requires completing an updated version of the course or passing a current assessment. This ensures professionals maintain expertise aligned with evolving industry practices in generative AI and agentic systems without additional recurring fees.
What post-training support does Koenig provide after Data Science & AI: LLMs, Prompt Engineering & RAG completion?
After completing Data Science & AI: LLMs, Prompt Engineering & RAG, Koenig provides 30 days of post-training support, including session recordings and practice tests. Learners also receive 6 hours of free trainer consultation to clarify advanced concepts, reinforcing mastery of LangChain, RAG implementation, and prompt engineering techniques for successful real-world deployment.
What are the prerequisites for the Data Science & AI: LLMs, Prompt Engineering & RAG course?
Participants in Data Science & AI: LLMs, Prompt Engineering & RAG should have strong Python skills, familiarity with virtual environments and APIs (OpenAI, Groq, Gemini), and a foundational understanding of LLMs and vector databases. Prior experience with Git, Docker, or cloud platforms is beneficial, ensuring readiness for hands-on development of agentic AI systems.
What career roles and salary ranges can graduates expect after Data Science & AI: LLMs, Prompt Engineering & RAG?
Graduates of Data Science & AI: LLMs, Prompt Engineering & RAG qualify for roles like Prompt Engineer or RAG Developer, with U.S. salaries averaging $145,000 annually. Mid-level RAG engineers earn $145K–$200K, while senior AI engineers reach $220K–$300K, reflecting the high market demand for skills in retrieval-augmented generation and production LLM deployment.
How does instructor-led training for Data Science & AI: LLMs, Prompt Engineering & RAG compare to self-study?
Instructor-led training for Data Science & AI: LLMs, Prompt Engineering & RAG delivers structured, interactive labs with immediate feedback, achieving higher retention than self-study. Koenig’s guided approach ensures mastery of complex topics like agentic workflows and RAG optimization. Self-paced learners often lack expert mentorship, which increases time-to-proficiency and reduces real-world application success rates.
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