Master Agentic AI, Autonomous Agents, Multi-Agent Systems, Planning, Memory, and Enterprise AI Architecture
Disclaimer : This course contains the use of artificial intelligence.
What you’ll learn
- Understand the fundamentals of Agentic AI and design autonomous AI systems using modern agent architectures..
- Build AI agents with planning, reasoning, memory, tool usage, and multi-agent collaboration capabilities..
- Design scalable agent workflows for task automation, decision-making, and enterprise AI applications..
- Implement production-ready Agentic AI architectures using leading frameworks, LLMs, APIs, and best practices..
Course Content
- Introduction to Agentic Architecture –> 6 lectures • 35min.
- Agent Design Patterns and the Agentic Loop –> 6 lectures • 26min.
- Single-Agent and Multi-Agent Architectures –> 5 lectures • 26min.
- Memory, Context, and State Management –> 6 lectures • 44min.
- Project : Human-in-the-Loop In Production –> 5 lectures • 36min.
- Enterprise Agent Development Lifecycle –> 6 lectures • 38min.
- Conclusion –> 3 lectures • 9min.
Requirements
Disclaimer : This course contains the use of artificial intelligence.
Artificial Intelligence is entering a new era where systems can reason, plan, use tools, collaborate, and autonomously complete complex tasks. This is the foundation of Agentic AI, and understanding Agentic Architecture is becoming an essential skill for AI engineers and developers building next-generation intelligent applications.
In this comprehensive course, you’ll learn how to design and build modern Agentic AI architectures that go far beyond traditional chatbot applications. You’ll explore the core principles that enable AI agents to make decisions, execute multi-step workflows, interact with external tools, maintain memory, and collaborate with other agents to solve real-world problems.
Throughout the course, you’ll gain a deep understanding of agent planning, reasoning strategies, memory architectures, tool integration, function calling, orchestration, autonomous workflows, multi-agent collaboration, task decomposition, and enterprise AI design patterns. You’ll also learn architectural best practices for creating scalable, reliable, and production-ready agent systems.
This course focuses on practical concepts and real-world architecture rather than theory alone. You’ll discover how modern AI assistants, research agents, coding agents, business automation systems, customer support agents, and enterprise AI platforms are designed using Agentic AI principles.
By the end of this course, you’ll have the knowledge to design intelligent AI agent ecosystems capable of planning, reasoning, adapting, and interacting with external systems to accomplish sophisticated tasks.
Whether you’re an AI engineer, Python developer, software architect, machine learning practitioner, automation specialist, or GenAI enthusiast, this course will equip you with the architectural skills needed to build autonomous AI systems that represent the future of artificial intelligence.