Agentic AI Systems Design, Build, and Deploy Intelligent Agents
Master LLM Agents and Build Scalable Autonomous AI Systems
Created by Vinit Kumar Singh
Explore the world of agentic AI by building intelligent agents that can perceive, reason, and act on their own. Learn how to design safe, scalable systems using Python and provider-agnostic LLM APIs. Discover advanced prompting, memory integration, and multi-agent coordination for real-world deployment.
Packt | Jun 2026 | 2256 min
What You Will Learn
You will start with foundational concepts and gradually build up to complex agentic systems. Through hands-on coding and real-world scenarios, you will integrate LLMs, memory, and tools, then move on to orchestrating multi-agent workflows and deploying robust, secure pipelines. Each section combines theory with practical exercises to reinforce your skills.
Key Features
- Design and implement autonomous AI agents with advanced reasoning and memory systems
- Integrate secure tools and deploy scalable multi-agent workflows in Python
- Test, monitor, and optimize agents for production using industry-standard frameworks
Target Audience
Ideal for AI engineers, ML developers, and research scientists with experience in Python, LLM APIs, and basic machine learning. If you want to develop hands-on expertise in building, testing, and deploying production-ready agentic AI systems, this course will help you master advanced prompting, multi-agent coordination, and secure deployment for real-world applications.
