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Agentic AI Fundamentals for Business Solutions Architects!!
Rating: 4.3 out of 5(13 ratings)
476 students

Agentic AI Fundamentals for Business Solutions Architects!!

AB-100:: Understand core agentic AI concepts, business value, ethics, and career pathways for the AB-100 certification..
Last updated 3/2026
English

What you'll learn

  • AB-100: Microsoft Certified: Agentic AI Business Solutions Architect
  • Agentic AI Fundamentals for Business Solutions Architects!!
  • AB-100:: Understand core agentic AI concepts, business value, ethics, and career pathways for the AB-100 certification..
  • Fundamentals Basics

Course content

4 sections18 lectures13h 37m total length
  • 01 Agentic AI Fundamentals for Business Solutions Architects AB 10031:56
  • 02 Agentic AI Fundamentals for Business Solutions Architects31:29
  • 03 Agentic AI Fundamentals for Business Solutions Architects31:46

Requirements

  • There are no technical prerequisites, no coding skills, and no prior AI implementation experience required for this course. Learners should have a general interest in business technology, digital transformation, or artificial intelligence concepts. Basic familiarity with business processes, enterprise systems, or solution architecture is helpful but not mandatory. This course is designed for conceptual understanding, making it suitable for beginners, business professionals, and technical learners who want a strong foundational overview before moving into hands-on or advanced AI studies.

Description


This course introduces the fundamental concepts of Agentic AI and its role in designing modern business solutions, aligned with the AB-100: Microsoft Certified – Agentic AI Business Solutions Architect certification. It focuses on what agentic AI is, how it works conceptually, and why it is transforming how organizations operate, without requiring any hands-on configuration or software setup.

Agentic AI represents a shift from traditional, reactive AI systems to autonomous, goal-driven agents that can reason, plan, collaborate, and act across business processes. Understanding these concepts is critical as organizations increasingly rely on AI agents to support decision-making, automate workflows, and enhance productivity at scale. This course explains these ideas in a clear, business-first way, making them accessible to both technical and non-technical learners.

The importance of this course lies in helping learners connect AI capabilities to real business value. Rather than focusing on tools, it teaches how to identify where agentic AI fits within enterprise strategies, how it supports digital transformation, and how it must be governed responsibly. Topics such as ethics, trust, security, and organizational impact are emphasized to prepare learners for real-world adoption challenges.

Key advantages of this course include a strong conceptual foundation, alignment with Microsoft’s agentic AI vision, and direct relevance to current and future enterprise roles. Learners gain confidence in AI conversations, improve their ability to evaluate AI initiatives, and develop a clear mental model of agent-based systems.

This course is ideal for those preparing for AB-100, exploring AI-driven business architecture, or planning future careers in AI leadership. As agentic AI continues to evolve, professionals who understand its fundamentals will be better positioned to guide strategy, manage risk, and design scalable, responsible AI-enabled business solutions.


Who this course is for:

  • Aspiring AI and Business Solutions Architects To understand agentic AI concepts before designing or evaluating AI-driven business solutions.
  • Business Leaders and Decision Makers To make informed decisions about AI investments, strategy, and organizational impact.
  • IT and Digital Transformation Professionals To gain a non-technical, big-picture understanding of how agentic AI fits into enterprise ecosystems.
  • Students and Career Switchers Interested in AI To build foundational knowledge and explore career paths related to agentic AI and business architecture.