Agentic AI systems design, build, and deploy intelligent agents.
In this 37-hour course, begin your journey mastering agentic AI by building intelligent agents that perceive, reason, and act autonomously. Explore rule-based systems, LLM reasoning engines, memory and tool integration, multi-agent orchestration, and production-grade deployment pipelines to deliver...
Gespeichert in:
- 1. Verfasser:
- Weitere Verfasser:
- Format:
- Elektronisch Film
- Sprache:
- Englisch
- Veröffentlicht:
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[Birmingham, United Kingdom] :
Packt Publishing,
2026.
- Ausgabe:
- [First edition].
- Zusammenfassung:
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In this 37-hour course, begin your journey mastering agentic AI by building intelligent agents that perceive, reason, and act autonomously. Explore rule-based systems, LLM reasoning engines, memory and tool integration, multi-agent orchestration, and production-grade deployment pipelines to deliver autonomous agents and scalable AI workflows. What I will be able to do after this course Implement advanced prompting paradigms for multi-step reasoning Build hierarchical RAG memory pipelines for long-term agent context Deploy multi-agent systems with task delegation and consensus mechanisms Integrate secure tools and function calling for production-grade workflows Optimize LLM usage through cost-effective API strategies Course Instructor(s) Vinit Kumar Singh is an AI Consultant and Educator with 18+ years of experience in AI and Data Science, specializing in Agentic AI, LLMs, and Voice AI. Graduate of IIT Bombay with Stanford certifications, he has worked with Sony, Nvidia, and top enterprises, and is a top 3% Udemy creator globally. Who is it for? This course is designed for AI engineers, ML developers, and research scientists seeking hands-on, production-ready expertise in agentic AI. Learners should be familiar with Python, LLM APIs, reasoning frameworks, and deployment pipelines for advanced multi-agent and secure production workflows.
- Umfang:
- 1 online resource (1 video file (37 hr., 36 min.)) : sound, color.
- ISBN:
- 9781808088438
- Schlagworte:
- Links: