Context Windows - Manage Limited Memory | Acadictive

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Agentic AI Modules

Foundations

What is Agentic AI?
Agents vs Simple LLM Apps
Evolution of AI Agents
Anatomy of an Agent
Core Agent Capabilities
Current Limitations
Key Terminology & Concepts
The Agentic AI Ecosystem
Use Cases Overview
Your First Agent Demo

Tool Use

Tool Calling Basics
Function Schemas & Definitions
Tool Selection Strategies
Tool Execution & Results
Building Custom Tools
Tool Composition Patterns
Error Handling in Tools
Tool Libraries & Registries
Parallel Tool Calling
Interactive Tool Playground

Planning

Planning Fundamentals
Task Decomposition
Chain of Thought
ReAct Pattern (Reason + Act)
Plan-and-Execute Framework
Replanning & Adaptation
Goal-Oriented Planning
Constraint Handling
Planning Under Uncertainty
Planning Strategy Simulator

Memory

Types of Agent Memory
Short-Term Memory
Long-Term Memory Storage
Semantic Memory
Episodic Memory
Vector Databases for Memory
Memory Retrieval Strategies
Memory Consolidation
Managing Context Windows
Interactive Memory Demo

Frameworks

Framework Landscape
LangChain Agents
LangGraph for Workflows
AutoGen Framework
CrewAI Basics
Microsoft Semantic Kernel
Haystack Agents
Building Your Own Framework
Framework Comparison
Choosing the Right Framework

Multi-Agent

Introduction to Multi-Agent Systems
Agent Communication Protocols
Agent Coordination Patterns
Hierarchical Agent Systems
Collaborative Agent Teams
Agent Roles & Specialization
Consensus in Multi-Agent Systems
Agent Negotiation
Swarm Intelligence
Multi-Agent Simulator

Orchestration

Orchestration Basics
Workflow Design Patterns
State Machines for Agents
Graph-Based Workflows
Event-Driven Agents
Human-in-the-Loop Systems
Approval & Review Workflows
Workflow Monitoring
Error Recovery Strategies
Interactive Workflow Builder

Safety

Agent Safety Introduction
Implementing Guardrails
Constraint Systems
Permission & Access Models
Policy Engines
Risk Assessment
Agent Alignment Strategies
Audit Logging & Traceability
Ethical Considerations
Safety Testing Sandbox

Evaluation

Introduction to Agent Evaluation
Task Success Metrics
Agent Benchmarking
Reliability Testing
Cost Optimization
Latency & Performance
User Experience Metrics
Deployment Strategies
Monitoring & Observability
Production Readiness Checklist

Advanced

Advanced Reasoning Techniques
Self-Improving Agents
Meta-Learning for Agents
Simulation Environments
Agent Marketplaces
Autonomous Research Agents
Code-Writing Agents
Cross-Domain Agents
Future of Agentic AI
Capstone: Build Your Agent

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