Open Source Guaranteed-to-Run

Generative AI: LangChain, LangGraph & Hugging Face Advanced

The Complete Generative AI: From Beginner to Expert Level course equips developers, data scientists, and AI engineers with practical skills to build, fine-tune, and deploy open-source generative models—solving the critical industry gap in hands-on AI expertise. With demand for AI specialists growing by 74% annually, this Open Source training covers prompt engineering, LLM fine-tuning, RAG pipelines, and responsible AI deployment using tools like Hugging Face, LangChain, and Docker.

This course prepares learners for the CGENAI™ Professional certification, with Koenig’s 30-day lab access enabling real-world practice. Graduates gain portfolio-ready projects and the expertise to lead generative AI initiatives in evolving tech landscapes.

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

Training Formats & Pricing

1-on-1 USD 3,950
Dedicated instructor, your schedule Fastest
Public Batch USD 3,100
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Self-Paced USD 199
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Course Overview

The Complete Generative AI: From Beginner to Expert Level course by Open Source is designed for aspiring AI professionals, data scientists, and software developers seeking mastery in generative artificial intelligence. While not tied to a single vendor certification exam, this comprehensive program aligns with industry-recognized competencies validated by leaders such as Google, NVIDIA, and Microsoft. It serves key roles including Generative AI Engineer, Prompt Engineer, and Machine Learning Specialist—positions now in demand across 5,000+ global organizations. With 77% of enterprises actively exploring or deploying generative AI solutions, this training equips learners with critical skills to meet growing market needs and position themselves at the forefront of AI innovation.

Participants gain hands-on experience with essential open-source tools and platforms including Hugging Face Transformers, LangChain, Retrieval-Augmented Generation (RAG), LLM fine-tuning with LoRA/QLoRA, FAISS and Milvus vector databases, and deployment via FastAPI and Docker. The lab component is conducted in a cloud-based Jupyter Notebook environment, where students build functional AI applications such as text generation systems, image generators, chatbots, and RAG pipelines. A capstone project requires learners to design, train, and deploy a full-stack generative AI application using open models, producing portfolio-ready deliverables like fine-tuned models, evaluation dashboards, and public-facing demos that mirror real-world enterprise implementations.

This course prepares professionals for emerging recognition in generative AI, enhancing credibility with a verifiable credential from Koenig Solutions. Graduates report an average salary increase of 28%, with certified roles commanding annual salaries ranging from $145,000 to $180,000 globally. A key differentiator is Koenig’s Guaranteed-to-Run delivery model, ensuring all scheduled classes proceed regardless of enrollment, backed by expert instructors and flexible 1-on-1 training options. Upon completion, learners are equipped to lead AI initiatives, drive digital transformation, and pursue advanced opportunities in one of the fastest-growing fields in technology.

What You'll Learn

Create innovative generative AI applications with open source models from Open Source, gaining practical skills to build cutting-edge solutions
Implement Retrieval-Augmented Generation (RAG) with Hugging Face to enhance AI accuracy and relevance in real-world projects
Deploy AI agents using LangChain and Hugging Face, enabling scalable and efficient AI workflows for enterprise needs
Fine-tune large language models (LLMs) with Hugging Face for specialized industry tasks, boosting performance and precision
Secure generative AI systems with open source tools, ensuring data privacy and compliance in AI deployments
Improve model efficiency and output quality by optimizing Hugging Face pipelines for faster, more reliable AI performance

Prerequisites

Recommended knowledge before taking this course
  • - Basic understanding of AI and machine learning concepts - Familiarity with programming languages like Python - Knowledge of data structures and algorithms - Comfort with mathematical concepts in linear algebra, calculus, and probability - Access to a computer with high-speed internet connection Complete Generative AI Course: From Beginner to Expert Level Certification Training Overview The Complete Generative AI Course: From Beginner to Expert Level certification training equips learners with comprehensive knowledge in generative AI. It covers foundational concepts, algorithms like GANs and VAEs, and applications such as image synthesis and natural language processing. Participants learn through practical exercises and gain expertise in modern AI toolkits. Core topics include machine learning principles, neural network architectures, loss functions, optimization techniques, and ethical considerations. The curriculum is designed to foster skills for creating and deploying generative AI models across various industries. Why Should You Learn Complete Generative AI Course: From Beginner to Expert Level? Taking a Complete Generative AI Course can bolster statistical understanding, enhance predictive modeling skills, and deepen insights into data patterns and correlations. It also empowers learners with the latest AI techniques, boosting innovation potential in various fields such as finance, healthcare, and marketing.
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Certification Exam

Everything you need to know about the Generative AI: LangChain, LangGraph & Hugging Face 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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Generative AI: LangChain, LangGraph & Hugging Face

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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 Generative AI: LangChain, LangGraph & Hugging Face certified professionals report career advancement within 6 months

Salary Impact

+32%

Average salary increase reported after obtaining the Generative AI: LangChain, LangGraph & Hugging Face 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
  • Generative AI Engineer
  • AI Engineer
  • Machine Learning Engineer
  • LLM Engineer
  • AI Application Developer
  • NLP Engineer

Companies Hiring

5,000+
Google Microsoft Amazon Accenture Deloitte Infosys Wipro Goldman Sachs Meta IBM

and 5,000+ organizations worldwide seeking Generative AI: LangChain, LangGraph & Hugging Face 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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  • ★★★★★

    “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

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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.”

    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

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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.”

    James T.

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    Head of L&D, UK Enterprise

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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.”

    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
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