Agents 101: Decoding AI Agents and Agentic Systems

Welcome to the era of Agentic AI. The conversation around artificial intelligence is rapidly shifting from mere generation to autonomous action. In this recorded webinar, "Agents 101: Decoding AI Agents and Agentic Systems," we cut through the hype to define the actual architecture of AI agents. If you've wondered what constitutes a true agentic system versus a standard LLM, this session provides the conceptual grounding you need for the future of technical and scientific computing. 📚 What You’ll Learn We break down the fundamental anatomy of an agent and explore how these systems are designed to reason, plan, and execute complex workflows. This session covers: • Defining the Architecture: What exactly is an AI agent? • Capabilities vs. Limitations: What can agents genuinely do today, and where do they fall short? • The Anatomy of an Agent: A deep dive into memory, planning, and tool use. • The Paradigm Shift: How agentic systems are changing complex problem-solving in technical fields. • Industry Examples: Real-world applications from leading technology companies. • Getting Started: Practical resources to help you begin creating your own agents. 💡 Why This Matters Whether you are a developer, researcher, or business leader, understanding agentic AI is crucial. We move beyond simple "question and answer" interactions into a world where systems autonomously execute workflows. This session explains why this shift is vital to your specific work, organization, and field. Resources & Next Steps: Stay tuned until the end of the recording for shared resources on how to further your learning and start building within the agentic paradigm. #AIAgents #AgenticAI #ArtificialIntelligence #MachineLearning #TechComputing #FutureOfWork #AIArchitecture #Automation #LLM #AITutorial