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AB-731 - Leading AI Transformation Across the Enterprise

Packt via Coursera

Overview

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This course equips business leaders with the tools to manage AI initiatives in their organization. From understanding generative AI models and responsible AI practices to leading AI adoption and transformation, the course offers actionable strategies to build a sustainable AI-driven business. In this course, you will journey through the rapidly evolving world of Artificial Intelligence (AI) as a business leader. The course starts by introducing you to the basics of generative AI and its implications for business leaders. You'll explore the difference between Generative AI, LLMs, and SLMs, learning to make informed technology decisions that align with your organizational goals. As the course progresses, you’ll delve deeper into the practical aspects of AI implementation. You will examine essential concepts like Responsible AI, including the six core principles, and learn the "Buy, Build, or Extend" framework to guide your AI investments. The course further explores strategic AI adoption models, ethical considerations, and ensuring your AI systems are trustworthy through techniques like Grounding and Retrieval-Augmented Generation (RAG). The course concludes by preparing you for the Microsoft AB-731 certification, equipping you with the strategic insights needed to drive AI adoption. Whether you're looking to lead AI projects or improve your team's AI readiness, you will gain the literacy needed to guide your organization through a successful AI transformation. This course is designed for business leaders in Finance, HR, Sales, and Legal departments, as well as decision-makers responsible for AI strategy, vision, budget, and organizational readiness. It's also ideal for professionals overseeing digital transformation projects, particularly those who seek a clear, scenario-based approach to managing AI initiatives. Managers and executives with no technical background will benefit from the focus on AI as a management challenge rather than a coding issue, making it an essential tool for anyone looking to lead their teams through AI-driven change. This course uses a scenario-based learning approach tailored for non-technical leaders. It starts with AI fundamentals and guides you through the "Buy, Build, or Extend" decision-making framework. You’ll explore responsible AI practices, governance, and practical strategies for AI adoption and leadership. This course is based on AB-731 - Leading AI Transformation Across the Enterprise, by Anand Rao Nednur. This course is licensed and distributed by Packt. All rights reserved. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.

Syllabus

  • Introduction
    • This module provides an overview of the course structure, key learning goals, and expectations for the upcoming lessons. Learners will gain a clear understanding of the course flow and what they can achieve by the end of the module.
  • Module 1: Foundations of Generative AI for Business Leaders
    • This module explores the foundational concepts of generative AI, including its core technologies, business applications, and strategic implementation. Learners will gain insights into how AI can drive transformation and optimize business operations. The course also covers cost management and the role of AI agents in decision-making.
  • Module 2: Building Effective Solutions & Prompt Engineering
    • This module explores key strategies for improving AI interactions through prompt engineering, grounding AI in trustworthy data, and enhancing system reliability. It covers the machine learning lifecycle and methods for building ethical, transparent AI systems. Learners will gain practical insights into creating effective and responsible AI solutions.
  • Module 3: Driving Business Value with Copilot & Foundry
    • This module equips learners with the skills to align AI solutions like Microsoft Copilot and Foundry with business processes, make strategic decisions on AI acquisition, and manage licensing effectively. It covers customization, process mapping, and cost-benefit analysis for enterprise AI implementation.
  • Module 4: Leading AI Strategy, Adoption, and Governance
    • This module provides an in-depth look at the key factors influencing AI readiness, ethical frameworks for AI, and strategic approaches to AI adoption and governance. Learners will gain insights into organizing for AI success and navigating the transition to autonomous AI systems.
  • Module 5: Exam Preparation & Final Knowledge Check
    • This module equips learners with effective strategies for preparing for and taking the final exam, focusing on time management, question analysis, and confidence-building techniques to ensure success.

Taught by

Packt - Course Instructors

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