Ultimate AI Agent Development with Semantic Kernel: Build Intelligent AI Agents, RAG Pipelines, Enterprise Automation, and LLM Applications with Microsoft Semantic Kernel

Key Features
● Get a free one-month digital subscription to http://www.avaskillshelf.com.
● Comprehensive Semantic Kernel coverage from core AI concepts to agent orchestration and enterprise deployment.
● Hands-on AI agent development using plugins, planning, memory, and observability patterns across real-world scenarios.
● Production-ready AI application engineering covering RAG pipelines, grounding, chatbot development, and enterprise-grade scalability.

Book Description

The Future Belongs to Engineers Who Can Build AI Agents That Think Beyond Prompts

AI agents are replacing static features as the foundation of modern enterprise applications. Ultimate AI Agent Development with Semantic Kernelgives you a comprehensive, hands-on guide to building production-ready AI agent applications using Microsoft Semantic Kernel, from core concepts and prompt engineering to enterprise-grade deployment.

You begin with the fundamentals of large language models and AI-first development, then progressively advance through agent design patterns, plugin architecture, prompt templates, planning, memory, and orchestration. Every concept is grounded in practical implementation, building toward real-world applications including chatbots, automation systems, and retrieval-augmented generation pipelines that solve actual enterprise problems.

The final section addresses enterprise readiness, observability, the Semantic Kernel roadmap, and future trends in agentic AI systems. Thus, by the end of the book, you will design, build, and deploy intelligent AI agent applications with confidence.

What you will learn
● Build production-ready AI agent applications using the Microsoft Semantic Kernel framework.
● Apply prompt engineering techniques to design effective agentic workflows and interactions.
● Design AI-first application architectures using scalable patterns and enterprise best practices.
● Implement plugins, planning strategies, and agent orchestration for complex AI workflows.
● Develop enterprise-ready AI systems with memory, observability, and production deployment patterns.
● Build real-world applications including chatbots, automation systems, and RAG-powered solutions.

Table of Contents
1. Introduction to AI-Powered Applications
2. Prompt Engineering in Agentic Applications
3. AI-First Development
4. Building Blocks for Agentic Applications
5. Introduction to Microsoft Semantic Kernel
6. Creating Our First Agent
7. Deep Dive into Plugins, Prompt Templates, and Planning
8. Semantic Kernel Agent Framework
9. Developing an Enterprise-Ready App
10. Building Real-World Applications
11. Semantic Kernel Roadmap and Ecosystem
12. Future Trends in AI and Agentic Systems
Credits
Index