Building autonomous agentic AI systems for beginners handsOn.

Format:

Video

Contributor:

Raheja, Yogesh, instructor.

Thinknyx Technologies (Firm), instructor.

Packt Publishing, publisher.

Language:

English

Subjects (All):

Intelligent agents (Computer software).

Physical Description:

1 online resource (1 video file (06 hr., 03 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Birmingham, United Kingdom] : Packt Publishing, 2026.

Summary:

In this 6-hour course, you will learn to design, build, and deploy autonomous Agentic AI systems through hands-on demos and real-world projects. You will work with agents, multi-agent collaboration, RAG, MCP, and deployment practices to create reliable AI-driven workflows. What I will be able to do after this course Understand Agentic AI fundamentals and how it differs from traditional AI Build functional AI agents using Smolagents, CrewAI, MCP, and n8n Integrate RAG into agent workflows to improve accuracy and reliability Design multi-agent systems capable of collaboration and complex reasoning Apply reflection, guardrails, and deployment practices for robust agents Course Instructor(s) Yogesh Raheja and Thinknyx Technologies bring deep expertise in cloud, automation, DevOps, and AI/ML, backed by years of consulting and training delivery. Yogesh is a Senior Solutions Architect and an instructor who focuses on practical, production-ready learning. He has authored internationally published books with Packt, Wiley, and OrangeAVA. Who is it for? This course is designed for developers, AI enthusiasts, data scientists, ML engineers, backend engineers, and system architects who want to build autonomous agents and multi-agent workflows. Familiarity with Python and a basic understanding of how LLMs work are recommended, along with curiosity to build hands-on.

Notes:

OCLC-licensed vendor bibliographic record.

OCLC:

1570892995