•Doğal Dil İşlemeye Genel Bakış
•Doğal Dil İşleme Uygulama Alanları
•Doğal Dil İşleme Algoritmaları
•Natural Language Toolkit (NLTK
•Natural Language Toolkit'e Genel Bakış
•Corpus & Corpora
•Tokenization
•Stop Words
•Stemming
•Büyük Dil Modellerine (LLMs) Genel Bakış
•Transformer Mimarisi
•Attention ve Self-Attention
•Encoder-Decoder
•Hugging Face Model Hub
•Prompt Engineering
•Zero-Shot, Few-Shot, Chain-of-Thought Örnekleri
•AI Agents vs. Agentic AI
•Prompt Chaining
•Routing
•Parallelization
•Reflection
•Tool Use
•Planning
•Multi-Agent
•Memory Management
•Exception Handling
•Human-in-the-Loop
•Inter-Agent Communication (A2A)
•Reasoning Techniques
•Guardrails/Safety Patterns
•Evaluation and Monitoring
•Model Context Protocol (MCP)
•Knowledge Retrieval (RAG)
•Prioritization
•MLOps'a Genel Bakış
•LLMOps'a Genel Bakış
•ML System Lifecycle
•MLaaS : Machine Learning as a Services
•LLM Application Deployment
•Yapay Zeka Güvenliğine (AI Security) Genel Bakış
•LLM Security
•OWASP LLM Security Top 10 : LLM Uygulamalarındaki Güvenlik Zafiyetleri