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Agentic AI19
Overview
01Foundations301Introduction to Agentic AI02Agent Architecture and Components03Types of Agents
02Core mechanics404Agent Frameworks and Tools05Planning and Reasoning06Tool Use and Function Calling07Memory
03Systems in practice508Multi-Agent Systems09Building Real-World Projects with Agentic AI10Evaluation and Metrics11Deployment and MLOps12Security and Safety
04Going further613Advanced Topics and Future Trends14Agentic AI Design Patterns and Architectures15Evaluation and Benchmarking16Tools and Frameworks17Deployment and Scalability18Challenges, Limitations and Future
05Revision119Interview Questions and Final Revision
AI System Design19
Overview
01Foundations201Introduction02Requirements Analysis
02Data and models303Data Pipeline04Model Training05Model Serving
03Application architectures506LLM System Design07RAG System Design08Agentic AI System09Agents Architecture10System Components
04Production quality511Reliability and HA12Security and Privacy13Observability14Evaluation and Testing15MLOps and LLMOps
05In practice216Case Studies17End-to-End Project
06Revision218Interview Preparation19Takeaways and Trends
LangChain17
Overview
01Foundations301Introduction02Architecture03Setup
02Models and prompts304LLM Models05Prompts11LLM Providers
03Chains and memory206Chains08Memory
04Agents and tools409Tools07Agents10Advanced Agents17Chains, Agents, Tools
05Retrieval and RAG514Loaders and Splitters15Embeddings13Vector Databases12RAG16RAG in Practice
Notebook

AI

How modern AI systems work, from first principles to production

Agentic AI
.notanous

Agentic AI

From agent basics to production systems

  • 19 modules
Open topic
AI System Design
.notanous

AI System Design

Designing AI systems end to end, from requirements to production

  • 19 modules
Open topic
LangChain
.notanous

LangChain

Building LLM apps with chains, agents, tools and RAG

  • 17 modules
Open topic
Topics