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GenAI for Networking: Prompts & Traffic AI

The Generative AI and AI in Networking Fundamentals course by Koenig Original equips network engineers, data scientists, and IT professionals with skills to integrate generative AI into network operations, solving the critical industry challenge of inefficient network management. With 77% of enterprises now deploying generative AI, this training delivers hands-on expertise in LLMs, prompt engineering, and AI-driven automation using open-source models. Learners gain practical proficiency in building retrieval-augmented generation systems and optimizing networks with real-time AI insights.

This course prepares learners for emerging generative AI roles in networking, supported by Koenig’s 30-day lab access for continuous skill development. Graduates gain a recognized Certificate of Completion and are positioned to lead AI integration projects, driving smarter, self-optimizing networks and advancing into high-impact roles like AI Network Specialist or Automation Engineer.

16 Hours (2 Days)
Live Online / Classroom
1+ professionals trained

Training Formats & Pricing

1-on-1 USD 1,100
Dedicated instructor, your schedule Fastest
Public Batch USD 850
Group class, fixed schedule Most Popular
Self-Paced USD 199
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Course Overview

Generative AI and AI in Networking Fundamentals by Koenig Original empowers professionals to integrate artificial intelligence into modern networking environments. This course complements Azure certifications like AZ-104 by adding AI-driven automation skills to existing cloud networking knowledge. Mastering these competencies is essential, as AI-skilled network engineers command salaries averaging 145,000 dollars annually (Source: Industry Salary Surveys 2024). This training provides the technical grounding needed to thrive in AI-augmented infrastructures, preparing you to lead digital transformation initiatives while designing intelligent, self-healing networks that leverage generative AI for predictive maintenance, automated compliance, and enhanced operational efficiency.

What You'll Learn

Optimize transformer architecture parameters for latency reduction in Generative AI and AI in Networking Fundamentals by Koenig Original
Implement Retrieval-Augmented Generation with LangChain to build context-aware AI agents
Design multimodal AI applications integrating text and image processing pipelines
Deploy full-stack Generative AI applications using Gradio for rapid interface prototyping
Apply machine learning algorithms to automate network traffic analysis and anomaly detection
Develop predictive maintenance models for proactive network infrastructure optimization

Prerequisites

Recommended knowledge before taking this course
  • Required: Solid understanding of networking concepts and protocols (TCP/IP, DNS, DHCP) and proficiency in Python programming, specifically utilizing libraries such as Pandas, NumPy, and Matplotlib for data manipulation and analysis in the Generative AI and AI in Networking Fundamentals course by Koenig Original.
  • Required: Practical experience with command line and terminal operations to execute network automation scripts and AI models.
  • Recommended: Familiarity with API integrations and web services for deploying AI-driven network solutions.
  • Recommended: Foundational knowledge of statistics and data analysis to interpret AI-generated networking insights.
  • Recommended: Prior exposure to network administration or cybersecurity concepts to contextualize AI applications.
  • Certification Alignment: This course serves as a foundational component for the Koenig Original AI-Driven Network Engineering professional certification path.
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Certification Exam

Everything you need to know about the GenAI for Networking: Prompts & Traffic AI certification exam

Exam Details
Exam Name
GenAI for Networking: Prompts & Traffic AI
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Available upon request
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Course Curriculum

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

1
Day 1– Generative AI and AI in Networking Fundamentals
Generative AI Core Concepts Generative AI System Architecture Transformer Library Practical Applications Generative Adversarial Networks Overview AI Networking Integration Principles Self-Supervised Learning Fundamentals Neural Network Transformer Architectures Real-World GenAI Networking Use-Cases
2
Day 2– Mastering Large Language Models
Large Language Model Architecture LLM Taxonomy and Types Text-Based AI Model Deployment Image AI Services Integration Object Detection Segmentation Techniques Visual Question Answering Systems Automatic Speech Recognition Implementation Translation and Speech Synthesis
3
Day 3– Prompt Engineering and Optimization
Prompt Engineering Best Practices Zero-Shot Few-Shot Prompting Strategies Chain-of-Thought Reasoning Techniques ReAct Meta-Prompting Methodology LLaMA Code Image Prompting Role-Based Prompt Design Frameworks Prompt Accuracy Optimization Methods Prompt Tuning Hands-On Lab
4
Day 4– Retrieval-Augmented Generation Systems
Retrieval-Augmented Generation RAG Essentials LangChain Framework Architecture Overview Embeddings Retrieval Chain Integration Vector Store LangChain Development LangChain Chatbot Engineering Solutions RAG Application Development Lifecycle Conversational RAG System Implementation Advanced Agent Development Lab
5
Day 5– Advanced LLM Evaluation and Deployment
Tabular Data Question Answering LangChain SQL QA Systems Model Quantization Technical Overview LLaMA Qwen Gemma Fine-Tuning Model Weight Optimization Strategies MLflow Model Management Introduction Hugging Face LLM Evaluation LLM Deployment Evaluation Lab

What's Included in Your Training

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

Career Outcomes

78%

of GenAI for Networking: Prompts & Traffic AI certified professionals report career advancement within 6 months

Salary Impact

+15%

Average salary increase reported after obtaining the GenAI for Networking: Prompts & Traffic AI 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

5
  • AI Network Engineer
  • Generative AI Specialist
  • Network Automation Engineer
  • AI Solutions Architect
  • Networking AI Consultant

Companies Hiring

5,000+
Cisco Juniper Networks Google Microsoft NVIDIA Accenture Deloitte Amazon IBM Ericsson

and 5,000+ organizations worldwide seeking GenAI for Networking: Prompts & Traffic AI 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.”

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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.”

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    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

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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.”

    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.

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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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