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Open-Source GenAI: LangChain RAG & LLaMA

The Open-Source Generative AI for Developers course by Koenig Original equips software developers, machine learning engineers, and AI researchers with practical skills to build autonomous AI systems using open-source models like Llama 2, Bloom, and AutoGPT. It solves the growing industry challenge of deploying cost-effective, customizable generative AI solutions without reliance on proprietary platforms—critical as 78% of enterprises now prioritize open-model adoption for compliance and flexibility.

This course prepares learners for real-world agentic AI development through hands-on labs with LangChain, Hugging Face, and MLflow. Koenig’s Guaranteed-to-Run scheduling ensures timely access to live training, enabling developers to deploy production-grade AI agents, advance into AI architecture roles, and lead innovation in open-model ecosystems.

40 Hours (5 Days)
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96+ professionals trained

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Course Overview

The Open-Source Generative AI for Developers course by Koenig Original is a comprehensive training program designed for developers, AI engineers, and data scientists seeking to master open-source generative AI technologies. While no official certification exam is tied directly to this course, it aligns closely with real-world skills demanded in AI-driven industries such as HRTech, FinTech, and HealthTech. According to industry reports, over 70% of enterprises are now investing in generative AI solutions, creating surging demand for professionals skilled in open-source AI frameworks. This course specifically serves roles like Generative AI Developer, LLM Application Developer, and Junior AI Engineer, equipping them with production-ready capabilities in building, deploying, and securing full-stack AI applications using modern tools and methodologies.

Participants engage with key technologies including HuggingFace, LangChain, Gradio, Docker, Kubernetes, and vector databases such as Pinecone, gaining hands-on experience through practical labs conducted in a cloud-based development environment. The curriculum centers around an HR use case where students build a full-stack GenAI application from scratch—starting with prompt engineering and retrieval-augmented generation (RAG), progressing through UI development with Gradio, and culminating in containerized deployment via Docker and Kubernetes. A highlight of the course is Module 18’s final project, which mirrors real-world AI product development, requiring integration of LLMs, structured outputs using Pydantic, guardrails for responsible AI, and secure deployment practices. These labs ensure learners gain operational expertise in LLMOps, model context protocol (MCP), and AI agent fundamentals using open-source models.

By completing the Open-Source Generative AI for Developers course from Koenig Original, learners position themselves for career advancement in high-growth AI domains, with certified professionals reporting average salary increases of up to 35% in AI-centric roles. Koenig differentiates itself through its Guaranteed-to-Run training model and access to official courseware developed by AI subject matter experts. Graduates are prepared not only for immediate contributions in AI product development but also for evolving roles in agentic AI systems and enterprise GenAI deployment. This forward-looking training ensures developers remain at the forefront of innovation, capable of designing scalable, secure, and ethically aligned generative AI solutions in open-source ecosystems.

What You'll Learn

✓Implement Generative AI architectures using Koenig Original methodologies, a leading approach in open-source AI development
✓Design prompt engineering strategies with open-source LLMs to optimize AI responses and enhance user engagement
✓Build Retrieval-Augmented Generation systems using LangChain to improve data retrieval and answer accuracy
✓Fine-tune open-source LLMs including Meta's LLaMA and Alibaba's Qwen for specific business needs
✓Evaluate model performance using MLflow in Koenig Original labs to ensure accuracy and reliability
✓Secure and deploy AI applications following Koenig Original best practices to protect data and ensure compliance

Prerequisites

Recommended knowledge before taking this course
  • Basic understanding of software development concepts, essential for mastering Open-Source Generative AI for Developers by Koenig Original
  • Proficiency in Python programming—including variables, functions, loops, and conditionals—is recommended to effectively engage with the Open-Source Generative AI for Developers course
  • Familiarity with command-line and terminal operations helps learners navigate AI development environments efficiently
  • Understanding APIs and web services like REST and JSON is crucial for integrating generative AI models in real-world applications
  • A working knowledge of machine learning fundamentals enables learners to grasp the core concepts behind open-source generative AI tools
  • Experience with open-source AI frameworks such as Hugging Face Transformers is beneficial for practical implementation and project work in this course
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Certification Exam

Everything you need to know about the Open-Source GenAI: LangChain RAG & LLaMA certification exam

Exam Details
Exam Name
Open-Source GenAI: LangChain RAG & LLaMA
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Unlimited attempts for course graduates
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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Mastering Generative AI Fundamentals
Core Generative AI Concepts Generative AI Model Architecture Transformer Library Implementation Generative Adversarial Networks Basics Configuring Development Environments Hugging Face Model Exploration GAN Inference Execution Lab Transformer Text Generation Lab
2
Day 2– Large Language Models Architecture
LLM Structural Design Large Language Model Varieties Translation and Summarization Tasks Speech Recognition and Synthesis Image Detection and Segmentation Zero-shot Image Classification Open-Source LLaMA, Qwen, Falcon LLM Performance Benchmarking Lab
3
Day 3– Advanced Prompt Engineering Strategies
Prompt Engineering Fundamentals Zero-shot and Few-shot Methods Chain-of-Thought and ReAct Logic LLaMA Text Prompting Techniques LLaMA Image Prompting Workflows Automated Code Generation Prompts Advanced Meta-prompting Strategies Prompt Accuracy Optimization Lab
4
Day 4– Building RAG Systems with LangChain
Retrieval-Augmented Generation Basics LangChain Core Framework Concepts Embedding and Vector Storage LangChain Retrievers and Chains LangChain Chatbot Development ChromaDB Vector Store Creation Custom RAG Application Build Conversational RAG Implementation Lab
5
Day 5– Advanced LLM Systems and Evaluation
Tabular Data Q&A Systems SQL-based Question Answering Model Quantization Techniques Fine-Tuning LLaMA, Qwen, Gemma Model Weight Optimization MLflow Framework Introduction Hugging Face MLflow Evaluation LLM Deployment and Monitoring Lab

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

82%

of Open-Source GenAI: LangChain RAG & LLaMA certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the Open-Source GenAI: LangChain RAG & LLaMA 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 Developer
  • Open-Source AI Engineer
  • AI Solutions Architect
  • Machine Learning Engineer
  • Prompt Engineering Specialist
  • AI Application Developer

Companies Hiring

5,000+
Microsoft Accenture Deloitte JPMorgan Chase Capgemini Infosys Wipro TCS Goldman Sachs PwC

and 5,000+ organizations worldwide seeking Open-Source GenAI: LangChain RAG & LLaMA 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+
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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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    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

    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.”

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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.

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    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.

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    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 Open-Source GenAI: LangChain RAG & LLaMA training course

Is the certification exam included in the Open-Source Generative AI for Developers course, and what is the exam fee if separate?
The Open-Source Generative AI for Developers certification exam is not included in the Koenig Original course fee. You must purchase the voucher separately. Expect a cost of approximately $55+. Always verify the current fee with Koenig during enrollment, as pricing fluctuates by region and delivery method.
What training formats are available for Open-Source Generative AI for Developers, and is Guaranteed-to-Run scheduling offered?
Koenig provides the Open-Source Generative AI for Developers course via live online 1-on-1, instructor-led, classroom, and Flexi formats. All options feature Guaranteed-to-Run scheduling. This ensures your training proceeds as planned regardless of enrollment numbers, giving you professional certainty for your career development and organizational training goals.
How long is lab access provided, and what environment is used for Open-Source Generative AI for Developers exercises?
You receive 30 days of lab access for Open-Source Generative AI for Developers via the Koenig cloud-based LET Platform. This secure sandbox environment features Hugging Face, LangChain, Llama 2, and Gradio. You can build AI agents, fine-tune models, and deploy applications immediately without needing complex local software configurations.
What is Koenig's rescheduling and cancellation policy for the Open-Source Generative AI for Developers course?
Koenig permits free rescheduling for Open-Source Generative AI for Developers with 7+ days' notice. Requests made within 7 days incur a 25% fee. Cancellations carry a 15% administrative charge. This policy maintains scheduling integrity while offering you the flexibility needed to manage unforeseen professional or personal changes.
What is the format, number of questions, passing score, and time limit for the Open-Source Generative AI for Developers certification exam?
The Open-Source Generative AI for Developers certification exam is a performance-based assessment. It includes multiple-choice, lab-based, and case study questions with no fixed count or time limit. It evaluates your practical ability to build AI agents, perform prompt engineering, and deploy models, prioritizing real-world skill demonstration over traditional testing.
How long is the Open-Source Generative AI for Developers certification valid, and what is the renewal process and cost?
The Open-Source Generative AI for Developers certification remains valid indefinitely with no expiration date. Following the Koenig Original credential policy, there is no renewal process or recurring fee. This ensures your verified expertise in open-source generative AI development receives lifelong professional recognition in the global IT industry.
What post-training support does Koenig provide after completing the Open-Source Generative AI for Developers course?
Koenig offers 30 days of post-training support for Open-Source Generative AI for Developers. This includes access to session recordings, lab environments, and expert mentor guidance. You also receive a certificate of completion and optional doubt-clearing sessions to solidify your mastery of advanced open-source AI frameworks and production deployment workflows.
What prerequisites or prior experience are needed for the Open-Source Generative AI for Developers course?
To succeed in Open-Source Generative AI for Developers, you should have basic Python programming skills, command-line familiarity, and foundational AI knowledge. Prior experience with APIs, machine learning, and Git is beneficial. The curriculum is specifically designed for intermediate learners aiming to master the architecture of modern generative AI systems.
What salary increase or career impact can I expect after completing the Open-Source Generative AI for Developers course?
Professionals mastering Open-Source Generative AI for Developers command average salaries of $145,000 in North America. Certified experts typically see salary increases of $18,000–$22,000. This training prepares you for high-demand roles like Generative AI Developer and Prompt Engineer, where industry demand currently exceeds the available supply of qualified talent.
How does instructor-led training for Open-Source Generative AI for Developers compare to self-study options?
Instructor-led Open-Source Generative AI for Developers training provides structured mentorship, 30-day lab access, and guaranteed schedules, which accelerates skill acquisition compared to self-study. This guided approach ensures hands-on practice with LangChain, Llama 2, and RAG implementation, resulting in significantly higher knowledge retention and immediate job readiness for complex AI projects.

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