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GenAI & ML: LangChain RAG & Llama Fine-Tuning Intermediate

The Generative AI with Machine Learning Fundamentals course by Open Source equips data scientists, AI engineers, and software developers with core skills in transformer architectures, prompt engineering, and retrieval-augmented generation (RAG) to solve the growing industry challenge of deploying scalable, responsible AI systems. With 78% of enterprises now piloting generative AI (Gartner, 2024), this course bridges the skills gap through hands-on labs in Python, NumPy, pandas, and LLM fine-tuning, enabling professionals to build and deploy production-ready generative applications.

This course prepares learners for the GSDC Certified Generative AI Foundation certification with Koenig’s Guaranteed-to-Run live training and 30-day lab access, ensuring mastery of open-source AI tools. Graduates gain the expertise to design ethical, high-impact AI solutions and advance into roles like Generative AI Developer or Machine Learning Engineer.

56 Hours (7 Days)
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1-on-1 USD 2,850
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Self-Paced USD 199
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Course Overview

The Generative AI with Machine Learning Fundamentals course by Open Source is designed for aspiring AI engineers, data scientists, and software developers seeking foundational expertise in generative artificial intelligence. While not tied to a specific vendor certification exam, this comprehensive program equips learners with core competencies in machine learning and generative AI architectures. With 77% of enterprises now exploring or deploying generative AI solutions, professionals trained in this domain are in high demand across industries. The curriculum serves roles such as AI Specialist, Prompt Engineer, and Generative AI Developer, providing essential knowledge in large language models (LLMs), prompt engineering, and responsible AI deployment.

Participants gain hands-on experience with key technologies including Retrieval-Augmented Generation (RAG), LangChain, Hugging Face Transformers, GANs, and MLflow within a cloud-based lab environment. The course features practical labs where students build functional LLM systems such as question-answering engines and prompt-based AI applications using real-world scenarios. Using official courseware and guided instruction, learners configure and fine-tune models in interactive sessions that simulate enterprise deployment challenges. One capstone project involves creating a retrieval-augmented system that integrates external data sources with an LLM to improve response accuracy—mirroring actual implementations in modern AI-driven organizations. These labs are conducted in a secure, instructor-led cloud console, ensuring immediate application of theoretical knowledge.

This training prepares professionals for emerging credentials in generative AI, enhancing credibility with a verifiable certificate from Koenig Solutions. By completing the program, individuals position themselves for career advancement in a field where certified experts command salaries averaging $145,000 annually in North America. A key differentiator is Koenig’s Guaranteed-to-Run delivery model, ensuring scheduled classes proceed even with a single registrant, backed by expert instructors and flexible learning options including 1-on-1 training. Graduates emerge ready to lead AI innovation, equipped to design, evaluate, and deploy generative AI systems that solve complex business challenges and drive digital transformation.

What You'll Learn

✓Develop Generative AI applications using PyTorch and Hugging Face to solve natural language processing tasks
✓Create prompt engineering solutions using LangChain frameworks to optimize LLM interaction quality
✓Build advanced text generation applications leveraging Hugging Face Transformers for scalable results
✓Design search applications with ChromaDB or FAISS vector databases and Open Source tools to enhance data retrieval accuracy
✓Implement security best practices to protect Generative AI applications built with Open Source technologies
✓Enhance LLM performance by fine-tuning with Open Source models for better accuracy and efficiency

Skills You'll Gain

Python Programming Data Preprocessing Scikit-learn Pipelines Neural Networks Gradient Descent Optimization Supervised Learning Unsupervised Learning PyTorch Deep Learning Models Generative Adversarial Networks Hugging Face Transformers Transformer Architecture Large Language Models LangChain Model Quantization RAG (Retrieval-Augmented Generation) Evaluation Metrics for LLMs

Prerequisites

Recommended knowledge before taking this course
  • ["Basic knowledge of Python programming syntax and scripting is essential for mastering Generative AI with Machine Learning Fundamentals by Open Source. Familiarity with command-line interface (CLI) operations and Git version control helps streamline your workflow. The ability to create and manage virtual environments using Conda or venv ensures a smooth setup process. Experience with GitHub workflows, including forking repositories and using GitHub Codespaces, accelerates your project collaboration. Understanding API concepts and configuring environment variables for API keys are crucial for integrating external services. A working knowledge of JSON format and .env file configuration for application secrets enhances your ability to secure and manage project data effectively. These prerequisites prepare you to gain practical skills in deploying generative AI models and machine learning techniques, making you more competitive in the AI industry."
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Certification Exam

Everything you need to know about the GenAI & ML: LangChain RAG & Llama Fine-Tuning certification exam

Exam Details
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Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
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Retake Policy
N/A
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Course Curriculum

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

1
Day 1– Mastering Machine Learning Foundations and Generative AI
Core AI and Machine Learning Concepts Supervised and Unsupervised Learning Methods Optimizing Model Evaluation and Overfitting Neural Network Architecture Essentials Image Classification using PyTorch Frameworks Generative AI Fundamentals and Workflows Autoencoders Principles for Data Generation Diffusion Models for Advanced Synthesis
2
Day 2– NLP, LLMs, and Expert Prompt Engineering
Natural Language Processing Core Concepts Text Tokenization and Preprocessing Techniques Word Embeddings and Vector Representations Large Language Models Architecture Overview Deploying Hugging Face Model Libraries BERT and GPT Model Architectures Building Interactive UIs with Gradio Multimodal AI Models and Applications
3
Day 3– Advanced Generative AI Applications and Optimization
Strategic Prompt Engineering Frameworks LLM Function Calling and Integration Developing AI Agents using LangChain Retrieval-Augmented Generation (RAG) Implementation Optimizing RAG Systems with LlamaIndex Evaluating RAG System Performance Metrics Fine-Tuning LLMs for Specific Domains Transfer Learning Techniques for NLP

What's Included in Your Training

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

Career Outcomes

88%

of GenAI & ML: LangChain RAG & Llama Fine-Tuning certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the GenAI & ML: LangChain RAG & Llama Fine-Tuning 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
  • Machine Learning Engineer
  • AI Engineer
  • Generative AI Developer
  • Applied Scientist
  • AI Research Engineer
  • NLP Engineer

Companies Hiring

5,000+
Google Meta Microsoft Hugging Face Accenture Deloitte Tata Consultancy Services Infosys Wipro Goldman Sachs

and 5,000+ organizations worldwide seeking GenAI & ML: LangChain RAG & Llama Fine-Tuning 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
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  • ★★★★★

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    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

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    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 GenAI & ML: LangChain RAG & Llama Fine-Tuning training course

Is the certification exam included in the course fee, and what is the exam cost if separate?
The certification exam is not included in the Generative AI with Machine Learning Fundamentals course fee; learners must register separately. The official NVIDIA NCA Generative AI LLMs Associate certification exam costs $125. This proctored assessment validates your foundational knowledge in generative AI and large language models and must be scheduled directly through the official NVIDIA certification portal.
What training formats are available for this course, and does Koenig offer Guaranteed-to-Run scheduling?
Koenig delivers Generative AI with Machine Learning Fundamentals via live online instructor-led sessions, 1-on-1 personalized training, and self-paced Flexi learning. All public live online classes are Guaranteed-to-Run, ensuring your training proceeds as scheduled regardless of enrollment numbers. We also provide classroom training upon request in select global locations, offering flexible scheduling options tailored for corporate teams and private groups.
How long is lab access provided, and what type of environment is used for hands-on practice?
You receive 30 days of hands-on lab access for the Generative AI with Machine Learning Fundamentals course via a cloud-based sandbox. These labs run on Koenig’s secure, browser-accessible platform, which includes pre-configured tools like Python, Jupyter Notebooks, Hugging Face, LangChain, and vector databases. This environment enables real-time practice in prompt engineering, RAG, and model fine-tuning without requiring any complex local software setup.
What is Koenig's rescheduling and cancellation policy for this course?
Koenig permits free rescheduling of the Generative AI with Machine Learning Fundamentals course if requested over 7 days before the start date. Cancellations made 15 days or more in advance qualify for a full refund. Requests between 7–14 days prior incur a 50% fee, while cancellations within 6 days are non-refundable, adhering to our standard training policies for all guaranteed sessions.
What is the format, number of questions, passing score, and time limit for the certification exam?
The NVIDIA NCA Generative AI LLMs Associate exam, relevant to this course, features 50 multiple-choice questions with a 60-minute time limit and a 70% passing score. This remotely proctored exam covers machine learning fundamentals, prompt engineering, data preprocessing, and LLM integration, directly reflecting the core technical skills mastered in the Generative AI with Machine Learning Fundamentals curriculum.
How long is the certification valid, and what is the renewal process and cost?
The NVIDIA NCA Generative AI LLMs Associate certification remains valid for two years from the issuance date. To renew, candidates must retake and pass the current exam version, which requires a $125 registration fee. There are no alternative renewal paths or continuing education credits; this recertification process ensures all professionals stay current with rapidly evolving generative AI technologies and industry best practices.
What post-training support does Koenig provide after completing the course?
Upon completing the Generative AI with Machine Learning Fundamentals course, Koenig offers 30 days of post-training support, including access to recorded sessions, instructor email assistance, and practice test questions. You also receive an official certificate of completion, comprehensive e-courseware, and personalized career guidance resources designed to maximize your job readiness and ensure you are fully prepared for the certification exam.
What are the prerequisites or prior experience needed to enroll in this course?
The Generative AI with Machine Learning Fundamentals course requires basic Python programming skills, including familiarity with data structures, control flow, and libraries like NumPy and pandas. We recommend prior knowledge of fundamental machine learning concepts, such as supervised learning and data preprocessing. No prior experience with large language models is required, making this ideal for intermediate learners transitioning into generative AI.
What salary increase or career opportunities can I expect after completing this course?
Professionals with generative AI skills can expect salaries from $150,000 for junior roles to over $250,000 for senior positions, per 2026 industry data. Completing the Generative AI with Machine Learning Fundamentals course prepares you for high-demand roles like Generative AI Engineer, Prompt Engineer, or ML Specialist. These positions are critical in tech, finance, and healthcare, significantly boosting your career advancement and long-term earning potential.
How does instructor-led training compare to self-study for mastering Generative AI with Machine Learning Fundamentals?
Instructor-led training for Generative AI with Machine Learning Fundamentals provides structured learning, real-time doubt resolution, and expert mentorship, which significantly increases success rates compared to self-study. Koenig’s live sessions include curated labs, exam prep, and career support, whereas self-study lacks accountability. Learners in our live sessions report higher confidence and faster skill acquisition, particularly in complex technical areas like RAG and model fine-tuning.

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