Ab-100 Agentic Ai Business Solutions Architect Complete Guide

[mitsumi]

Ab-100 Agentic Ai Business Solutions Architect Complete Guide
Published 3/2026
Created by Dr. S. Gomathi
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 11 Lectures ( 5h 41m ) | Size: 3.93 GB


Master Agentic AI architecture and enterprise solution design to confidently pass the AB-100 certification exam.
What you'll learn
✓ Understand the core concepts of Agentic AI and the architecture required to design intelligent AI-powered business solutions.
✓ Design enterprise-level Agentic AI solutions using Microsoft AI Foundry, large language models (LLMs), and AI orchestration patterns.
✓ Apply the right decision framework to choose between Prompt Engineering, Retrieval-Augmented Generation (RAG), and Fine-Tuning.
✓ Build scalable multi-agent AI architectures using planning, orchestration, and tool invocation patterns.
✓ Implement responsible AI, governance, and security practices when designing AI-powered enterprise solutions.
✓ Prepare confidently for the AB-100 certification exam with architecture explanations, real-world scenarios, and exam-focused strategies.
Requirements
● Basic understanding of Artificial Intelligence and Generative AI concepts is helpful but not mandatory.
● Familiarity with cloud computing or Microsoft Azure fundamentals will be beneficial.
● Interest in learning how to design enterprise AI and Agentic AI solutions.
Description
Artificial Intelligence is rapidly evolving, and Agentic AI is shaping the next generation of intelligent enterprise solutions. Organizations are now looking for professionals who can design, architect, and implement AI-driven business solutions that combine large language models, data systems, and intelligent agents.
This course is designed to help you master the knowledge and architecture concepts required to pass the AB-100: Agentic AI Business Solutions Architect certification exam.
Whether you are an AI professional, cloud architect, developer, or technology consultant, this course will guide you step by step through the core principles of Agentic AI architecture and enterprise AI solution design.
What You Will Learn
In this course, you will learn how to
• Understand the fundamentals of Agentic AI and intelligent agent architectures
• Design enterprise-grade AI solutions using modern architecture patterns
• Apply Retrieval-Augmented Generation (RAG), prompt engineering, and orchestration techniques
• Evaluate different AI architecture decisions for real-world business scenarios
• Understand governance, security, and responsible AI principles
• Prepare effectively for the AB-100 certification exam
Why This Course Is Different
Unlike many AI courses that focus only on theory, this course focuses on architect-level thinking.
You will learn
• How to analyze real business scenarios
• How to select the right AI architecture pattern
• How to design scalable multi-agent AI systems
• How to approach exam-style architecture questions
The goal is not just to help you pass the certification, but to help you think like an AI architect.
Who Should Take This Course
This course is ideal for
• AI professionals and solution architects
• Developers, data engineers, and AI engineers
• Microsoft Azure professionals preparing for the AB-100 exam
• Technology consultants and decision makers exploring Agentic AI solutions
• Professionals looking to move into AI architecture roles
Course Features
• Clear and structured explanations
• Architecture-focused learning approach
• Real-world AI solution design discussions
• Exam preparation guidance
• Concepts explained in simple and easy-to-understand language
Who this course is for
■ AI professionals and solution architects who want to design enterprise-grade Agentic AI solutions using modern AI architecture patterns.
■ Developers, data engineers, and AI engineers
■ Cloud architects and Microsoft Azure professionals preparing for the AB-100: Agentic AI Business Solutions Architect certification exam.
■ Technology leaders, consultants, and technical decision-makers who want to learn how Agentic AI can be applied to real-world business scenarios.
■ Students and professionals interested in transitioning into AI architecture roles and gaining a structured understanding of multi-agent systems and AI solution design.

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