(Online Delivery) AgenticAIBIZ™ (Exam AGZ-110): Foundations of Agentic AI

Overview: Artificial intelligence (AI) agents are rapidly becoming a core driver of business automation. Harnessing the power of generative AI and large language models (LLMs) through agentic frameworks introduces powerful new ways to streamline operations, boost productivity, and free users from tedious and time-wasting tasks. By designing and deploying agents responsibly and effectively, organizations can accelerate adoption, reduce risks, and gain a competitive advantage in the impending "agentic shift."

Description

Course Objectives:

In this course, you will responsibly plan agentic AI initiatives that deliver measurable business value. You will:

  • Identify the fundamentals of agentic AI.
  • Determine whether AI agents are suitable for a given business problem.
  • Design business-driven agentic solutions at a high level, without going deep into the technical details.
  • Manage the risks of agentic AI.
  • Adopt agentic AI into the organization.
  • Prepare to execute an agentic strategy so implementation can proceed.

Course Content

Lesson 1: Agentic AI Fundamentals

Topic A: Identify Agentic AI Concepts

Topic B: Identify Core Components of an Agent Architecture

Lesson 2: Determining the Suitability of AI Agents

Topic A: Analyze Business Processes for Automation Potential

Topic B: Assess the Value and Feasibility of Agentic AI

Topic C: Identify Real-World Use Cases 

Lesson 3: Designing Agentic Solutions at a High Level

Topic A: Select Appropriate Agent Design Patterns Topic B: Identify Memory and Context Strategies

Lesson 4: Managing Agentic AI Risks

Topic A: Identify the Technical Risks of Agentic AI

Topic B: Identify the Business Risks of Agentic AI

Topic C: Design Safety and Oversight Mechanisms

Lesson 5: Adopting Agentic AI into the Organization 

Topic A: Plan Agent Initiatives

Topic B: Prepare the Organization for Agent Adoption

Lesson 6: Preparing to Execute Agentic Strategy

Topic A: Prioritize Agent Workflows and Applications

Topic B: Communicate Agent Strategy to Stakeholders