Introduction
Building the future of agentic AI
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1. What Is Agentic AI?
Definition and evolution of agentic AI
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When to use agentic AI
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Real-world applications of agentic AI
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2. Developing the Core Concept
Understanding autonomy and decision-making
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Cognitive framework for AI agents
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Reinforcement learning in agentic AI
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3. Identifying Core AI Agents
Types of AI agents
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Multi-agent systems and collaboration
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4. Building Agentic AI System Workflow
Designing agentic AI process flows
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Data pipelines and integration
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Automation and decision loops
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User interaction and experience
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5. Reference Architecture, Tools, and Tech Stack
Architecture components of agentic AI
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Infrastructure and deployment strategies
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Governance
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Testing strategies
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6. Edtech Use Case
Defining the solution
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Identifying the AI agents
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Identifying the data sources
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Putting together the reference architecture
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Defining the criteria for success
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7. Healthtech Use Case: Project
Design an agentic AI system for healthtech
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Conclusion
What's next
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Ex_Files_Building_Agentic_AI_Systems.zip
(20 KB)