Eğitim Adı: Yapay Zeka İle Ağ Otomasyonu

Süre: 16 Hafta / 96 Saat

Tarihler: 3 Mayıs 2026 - 30 Ağustos 2026

Eğitim Günleri ve Saatleri: Her Pazartesi ve Perşembe: 19:00-21:00 ve Cumartesi 16:00-18:00 arası

Eğitmen: Erdeniz Ünvan

Eğitime Katılım Ön Koşulu: Min. CCNA sertifikasına sahip olmak/CCNA eğitimine katılmak

Eğitim Amacı: Bu programın amacı, katılımcıların pratik uygulamalar eşliğinde klasik network mühendisliğinden Yapay Zeka-destekli network otomasyon mimarisine geçiş yapabilmelerini sağlamaktır.

Eğitim İçeriği

Module 1: Python

Part 1: Language Overview

Part 2: Standard Data Types

Part 3: Flow Control,

Part 4: Functions

Part 5: Lists and Tuples

Part 6: Dictionaries

Part 7: External Libraries

Part 8:Basic File Operations

Part 9:Exception Handling

Module 2: REST API

Part 1: List Comprehension

Part 2: What is Model Driven Automation

Part3: What is HTTP ?

Part4: How HTTP works ?

Part5: What is Rest API

Part 6: What are API Data Formats?

Part 7: List Comprehension

Part 8: Parsing Public Colorado Population API

Part 9: Parsing News API

Module 3: Network Automation With Netmiko & PyATS

Part 1: Introduction to Netmiko

Part 2: Introduction to TextFSM

Part 3: Configure Multiple Devices With Netmiko Via JSON

Part 4: Serial Numbers With Netmiko & TextFSM

Part 5: Excel With Netmiko & TextFSM

Part 6: Configuration Cloning with TextFSM

Part 7: Creating Custom Parser Templates With TTP

Part 8: Configure Multiple Network Devices With Txt file

Part 9: Chunk Network Configuration Management With Netmiko: Huawei BGP Config

Part 10: Controlling CPU & RAM Info Of Server With Python

Part 11: Configure Multiple Network Devices With Multithreading

Part 12: Concurrent Futures Multithreading With Max_workers

Part 13: Multi-Vendor Device Type Detection With Netmiko & Multiprocessing

Part 14: SSO Multi-Vendor Device Type Detection With LDAP, Radius, Netmiko & Multiprocessing

Part 15: Installing PyATS

Part 16: Testbed and Parsing Network Configuration With Python 

Part 17: PyATS DataQuery(Dq)

Part 18: Network Testing With PyATS

Module 4: NXAPI

Part 1: NXAPI with Sandbox

Part 2: NXAPI with Postman

Part 3: NXAPI with Python

Part 4: Converting Yaml with Jinja Template and Configure Nexus

Part 5: Configuration Management With NXAPI

Part 6: Multi-Threading With Netmiko & NXAPI

Module 5: Network Automation API Development With Python

Part 1: API Development With Flask-RestX

Part 2: Rest API Query Management At API Development

Part 3: HTTPS: SSL Certificate Creation With Python At Ubuntu

Part 4: Rest API With HTTPS

Part 5: Uploading & Downloading Excel/CSV/JSON Files With Flask-RestX

Part 6: Sql With Python CRUD(Create, Read, Update, Delete)

Part 7: PostGreSQL Insallation At Ubuntu

Part 8: PostGreSQL Configuration At Ubuntu

Part 9: PostGreSQL With Python

Part 10: LDAP With Python

Part 11: Developing Database Management API With HTTPS, Vault, Json Web Token, LDAP & PostGreSQL

Part 12: Accessing Database Management API via Python With HTTP Methods: Get, Post, Put, Patch, Delete

Module 6: Application Development With Docker

Part 1: What is Docker?

Part 2: How Docker & Container Works

Part 3: Image Management

Part 4: Managing Nginx Container

Part 5: Docker Network

Part 6: Docker Volume

Part 7: Containerize Web Services With Docker

Part 8: Containerize API With Docker

Part 9: Load Balancing Containers

Part 10: Docker Compose

Part 11: Deploy Network Automation Services With Load-Balancing, Containerized Network API, PostGreSQL andLDAP

Part 12: Integrate Application into Existing CI/CD Environment

Part 13: Docker Swarm & Service Management

Module 7: Network Automation With AI

Part 1: How Open AI API Works?

Part 2: Gradio With Open AI API

Part 3: Intent Classification With Open AI API

Part 4: How Ollama Containers Work?

Part 5: Intent Classification With Ollama Containers

Part 6: How Llamafile Containers Work?

Part 7: Intent Classification With Llamafile Containers

Part 8: What is MCP Server

Part 9: How MCP Server Works

Part 10: Chatbot With MCP Server Via Open AI API

Part 11: Network Automation Chatbot With MCP Server Via Open AI API 

Part 12: Network Automation Chatbot With MCP Server Via Ollama GPT-OSS 20B

Part 13: Network Automation Chatbot With MCP Server Via Llamafile Containers

Part 14: Unit Tests With MCP Server

Part 15: Llama With Netmiko

Part 16: Network Data Visualization With Matplotlib and Plotly

Part 17: Network KPI Future Prediction With Prophet

Part 18: Network Anomaly Detection With Prophet

Part 19: Agent-based RAG

Part 20: Document QA With OpenAI API +Faiss/Chroma + Gradio

Part 21: Document QA With Ollama Containers +Faiss/Chroma + Gradio

Part 22: Document QA With Llamafile Containers +Faiss/Chroma + Gradio

Part 23: How Qdrant Works?

Part 24: Document QA With Qdrant & Open AI API

Part 25: Document QA With Ollama Containers + Qdrant + Gradio

Part 26: Document QA With Llamafile Containers + Qdrant + Gradio

Part 27: Multi-Document Conversational RAG With Qdrant & Open AI API

Part 28: Containerize, Secure, Scale RAG Application With Qdrant & OpenAI API

Part 29: Containerize, Secure, Scale RAG Application With Qdrant & Llamafile Containers

Part 30: Autonomous Code Execution Agent AutoGen

Part 31: Multimodal AI Agent: Network Data Analysis With RAG + Llamafile Containers + AutoGen

Part 32: Multimodal AI Agent: Network Data Analysis With RAG + GPT-OSS 20B + AutoGen

Part 33: Multimodal AI Agent: Configuration Management With RAG + GPT-OSS 20B + AutoGen

Part 34: Network Topology Management With NetworkX & GeoPandas 

Part 35: Network Topology Discovery & Visualization With Netmiko + NetworkX + GeoPandas