Intro to GenAI: LLM Prompting & LangChain RAG
The Introduction to Generative AI course by Koenig Original equips beginners, data analysts, and IT professionals with foundational skills in Large Language Models, prompt engineering, and generative AI applications. It solves the growing skills gap as 77% of enterprises now explore or deploy generative AI. Through hands-on labs in text generation, image captioning, and chatbot development, learners gain practical expertise using open-source tools and real-world scenarios.
This course prepares for the GSDC Certified Generative AI Foundation exam featuring a 65% passing score and 90-minute duration. With Koenig’s 30-day post-training lab access, learners reinforce skills in retrieval-augmented generation and model optimization, positioning them for roles in AI innovation and digital transformation.
Training Formats & Pricing
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Course Overview
The Introduction to Generative AI course by Koenig Original is designed for IT professionals, data scientists, and software developers seeking foundational expertise in generative artificial intelligence. While no official certification exam is tied directly to this Koenig Original course, the curriculum prepares learners for advanced AI specializations and industry-recognized credentials in generative technologies. Targeted at roles such as AI Researchers, Machine Learning Engineers, and Python Programmers, this program addresses growing industry demand—according to recent studies, over 70% of enterprises are now experimenting with or deploying generative AI solutions, driving urgent need for skilled practitioners. Participants gain a structured understanding of core concepts including transformer architectures, generative adversarial networks (GANs), and large language models (LLMs), setting a solid foundation for advanced work in the field.
Students engage with key technologies such as Meta’s LLaMA, Alibaba’s Qwen, LangChain, Hugging Face, and MLflow in hands-on labs conducted within the Koenig Data Center environment. The course emphasizes practical skill-building, where learners configure retrieval-augmented generation (RAG) systems, build intelligent chatbots using LangChain, and fine-tune open-source LLMs through quantization techniques. A highlight includes developing a conversational RAG application capable of retrieving and synthesizing information from external data sources, simulating real-world AI deployment scenarios. These lab-intensive exercises ensure participants gain proficiency in prompt engineering, model evaluation using MLflow, and deploying AI pipelines—skills directly transferable to enterprise AI projects.
Graduates of the Introduction to Generative AI course are well-prepared to pursue advanced training paths and certifications in generative AI, including specialty tracks recognized by organizations like GSDC. With AI professionals commanding average salaries exceeding $140,000 annually in North America, this course opens pathways to high-growth roles in AI development and research. Koenig Solutions enhances learning with its Guaranteed-to-Run schedule and 1-on-1 training options, ensuring flexible, personalized instruction using official courseware. By mastering foundational generative AI concepts and tools, learners position themselves at the forefront of innovation, ready to contribute to transformative AI initiatives across industries.
What You'll Learn
Prerequisites
- Basic Python programming skills, including variables, functions, loops, and conditionals, are essential for mastering the Introduction to Generative AI by Koenig Original. Familiarity with command line or terminal operations helps streamline your workflow. A foundational understanding of machine learning concepts, such as supervised and unsupervised learning, is crucial for grasping generative AI techniques. Knowledge of neural networks, including backpropagation and training workflows, enables you to build and optimize AI models effectively. Understanding natural language processing fundamentals and tokenization methods allows you to work with text-based generative models. Experience with at least one deep learning framework, such as TensorFlow or PyTorch, is highly recommended to accelerate your learning process. These prerequisites ensure you are well-prepared to benefit from the comprehensive curriculum of this 2-day course, which is designed to turn your AI ambitions into real-world skills.
Certification Exam
Everything you need to know about the Intro to GenAI: LLM Prompting & LangChain RAG certification exam
What's Included in Your Training
Every enrollment comes packed with resources to maximise your learning and exam success
Exam Preparation Materials
Practice Test Questions (200+)
Certificate of Completion
Post-Training Support (30 days)
Session Recording Access
Free Rescheduling (7+ days notice)
Career Outcomes
of Intro to GenAI: LLM Prompting & LangChain RAG certified professionals report career advancement within 6 months
Salary Impact
Average salary increase reported after obtaining the Intro to GenAI: LLM Prompting & LangChain RAG certification
*Source: Glassdoor / LinkedIn 2025
Job Roles
- AI Business Analyst
- Digital Transformation Specialist
- Business Technology Consultant
- Microsoft 365 Copilot Adoption Specialist
- AI Strategy Coordinator
Companies Hiring
and 5,000+ organizations worldwide seeking Intro to GenAI: LLM Prompting & LangChain RAG certified professionals
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.”
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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.”
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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.”
AZ-305 Expert ✓ Verified -
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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.”
100+ Learners Trained ✓ Verified -
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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.”
SC-300 Certified ✓ Verified -
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“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
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“DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”
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★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
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.”
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.”
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.”
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.”
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.”
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.”
SC-300 Certified ✓ Verified -
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
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.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
SC-300 Certified ✓ Verified
-
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
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.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
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.”
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.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
AZ-400 Team Training ✓ Verified
Frequently Asked Questions
Everything you need to know about the Intro to GenAI: LLM Prompting & LangChain RAG training course
Is the certification exam included in the Introduction to Generative AI course, and what is the exam fee if separate?
What training formats are available for the Introduction to Generative AI course, and does Koenig offer Guaranteed-to-Run scheduling?
How long is lab access provided, and what environment is used for the Introduction to Generative AI course?
What is Koenig's rescheduling and cancellation policy for the Introduction to Generative AI course?
What is the format, number of questions, passing score, and time limit for the Introduction to Generative AI certification exam?
How long is the Introduction to Generative AI certification valid, and what is the renewal process and cost?
What post-training support does Koenig provide after completing the Introduction to Generative AI course?
Are there any prerequisites or prior experience required to enroll in the Introduction to Generative AI course?
What career impact and salary benefits can professionals expect after completing the Introduction to Generative AI course?
How does the Introduction to Generative AI course compare to self-study in terms of learning outcomes and preparation quality?
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