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- AI Agents Architecture
- Understanding The AI Agents Architecture
Curriculum
- 12 Sections
- 63 Lessons
- Lifetime
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- Frontend tools & frameworks for AI Agents6
- 1.0Streamlit: AI-Powered Frontend Framework for Data Apps30 Minutes
- 1.1Flask: Lightweight Python Web Framework for AI & APIs30 Minutes
- 1.2Gradio: AI-Powered Interactive Frontend for Machine Learning Models30 Minutes
- 1.3Node.js: JavaScript Runtime for Scalable AI Web Applications30 Minutes
- 1.4Next.js: AI-Powered Full-Stack Framework for Web Applications30 Minutes
- 1.5Quiz – Front-end (Tools & Frameworks for AI Interfaces)30 Minutes5 Questions
- Memory components for AI Agents5
- 2.0Zep: AI Memory Component for Long-Term Context Retention30 Minutes
- 2.1Mem0: AI Memory for Contextual AI Learning30 Minutes
- 2.2Cognee: AI-Powered Cognitive Memory for LLMs30 Minutes
- 2.3Letta: AI-Powered Stateful Agents with Advanced Memory Capabilities30 Minutes
- 2.4Quiz – Memory (AI Agent Memory Components)30 Minutes5 Questions
- Platforms and tools for monitoring, debugging, and improving the performance of AI agents.9
- 3.0Arize AI: AI Model Performance Monitoring & Debugging30 Minutes
- 3.1LangSmith: AI Agent Debugging & Evaluation for LLMs30 Minutes
- 3.2Langfuse: AI Logging, Debugging & Observability for LLMs30 Minutes
- 3.3Helicone: AI Monitoring & API Performance Optimization30 Minutes
- 3.4Galileo AI: AI Performance Monitoring & Debugging for LLMs30 Minutes
- 3.5Opik AI: AI Model Observability & Performance Monitoring30 Minutes
- 3.6Metoro: AI Observability & Performance Optimization Platform30 Minutes
- 3.7Braintrust: AI Workflow Monitoring & Performance Analytics30 Minutes
- 3.8Quiz – Agentic Observability (Monitoring & Debugging AI Agents)30 Minutes7 Questions
- Frameworks and libraries that manage the coordination and interaction between multiple AI agents to solve complex problems.9
- 4.0LangGraph: Multi-Agent Coordination Framework for AI Workflows30 Minutes
- 4.1AutoGen: Autonomous AI Agent Collaboration Framework30 Minutes
- 4.2CrewAI: Multi-Agent AI Workflow Management30 Minutes
- 4.3Haystack: Open-Source AI Retrieval & Multi-Agent Framework30 Minutes
- 4.4LlamaIndex: AI-Powered Data Indexing & Retrieval for LLMs30 Minutes
- 4.5Agno: Multi-Agent AI Coordination & Task Execution30 Minutes
- 4.6Swarm AI: Decentralized Multi-Agent Intelligence for Complex Problem Solving30 Minutes
- 4.7AWS Multi-Agent Orchestrator: Scalable AI Workflow Automation for Enterprises30 Minutes
- 4.8Quiz – Agent Orchestration (Multi-Agent AI Management & Coordination)30 Minutes8 Questions
- Authentication systems for AI tools5
- 5.0Auth0: Identity and Access Management Platform30 Minutes
- 5.1Okta: Comprehensive Identity and Access Management Platform30 Minutes
- 5.2OpenFGA: Open Fine-Grained Authorization System30 Minutes
- 5.3Anon: Automated Authentication Layer for AI Agents30 Minutes
- 5.4Quiz – Authentication (User Access & Security)30 Minutes5 Questions
- External tools that AI agents use to gather information and perform tasks5
- Model Routing - techniques for selecting and switching between different AI models based on task requirements and performance Martian4
- 7.0Martian – Model Routing for Dynamic AI Model Selection and Performance Optimization30 Minutes
- 7.1OpenRouter: Unified Interface for Multi-Model AI Access30 Minutes
- 7.2NotDiamond: AI Model Routing and Multi-Agent Optimization Platform30 Minutes
- 7.3Quiz – Model Routing (Techniques for Switching Between AI Models)30 Minutes3 Questions
- Foundational Models - large-scale AI models that form the basis for various AI applications, providing general intelligence capabilities9
- 8.0OpenAI – Large-Scale AI Models for General Intelligence30 Minutes
- 8.1DeepSeek – Large-Scale AI Models for General Intelligence30 Minutes
- 8.2Gemini – Large-Scale AI Models for Multimodal Intelligence30 Minutes
- 8.3Qwen – Large-Scale AI Models for General Intelligence30 Minutes
- 8.4Claude – Large-Scale AI Models for Safe and Interpretable Intelligence30 Minutes
- 8.5Mistral AI – Large-Scale AI Models for Open and Efficient Intelligence30 Minutes
- 8.6Grok – Large-Scale AI Models for Insightful and Truth-Seeking Intelligence30 Minutes
- 8.7Llama – Large-Scale AI Models for Open and Multimodal Intelligence30 Minutes
- 8.8Quiz – Foundational Models (Large-Scale AI Models for General AI Applications)30 Minutes8 Questions
- Processes for preparing and integrating data from various sources for use in AI applications4
- Systems for storing and managing data used by AI agents, including vector databases for efficient similarity search9
- Infrastructure components that provide the necessary resources and environment for running AI agents4
- Cloud and hardware providers that offer the computing power required for training and running AI models6
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