Mastering AI for Business Leadership and Management
As part of its mission to educate Business Leaders about AI's potential, OT’s AI Academy presents this course, which is tailored for CXOs and business leaders, it delivers insights and strategies relevant to decision-makers who want to gain a deeper understanding of generative AI and its potential to drive business innovation and value. It covers the evolution of AI, its applications across industries, and its impact on job roles and products. Participants will learn about the importance of AI in strategic decision-making and how to build AI policies within their organizations.
Throughout the course, you'll explore foundational AI models, architectures, and the benefits they bring to various AI applications. Additionally, you’ll gain practical insights into working with data, managing AI infrastructure, and overcoming challenges such as data labeling, bias, and AI trust issues.
By the end of the course, you’ll be equipped with the knowledge to implement generative AI solutions in your business, leveraging its capabilities to improve customer experiences, modernize applications, and drive operational success.
Skills You'll Acquire
Generative AI Concepts
Building AI Agents
Workflow Automation with LangChain
Advanced Prompt Engineering
Hugging Face
Hugging Face
RAG
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Basic knowledge of statistics and probability.
Familiarity with Algebra.
Experience in a business setting, involved in decision-making and technical/IT projects.
Gain a foundational understanding of what AI is and how it functions
Identify its potential to create business value.
Recognize the importance of AI trust and transparency.
Apply generative AI to use cases like customer service and application modernization.
Understand AI and Platform Business Models
Equip leaders to drive AI adoption and transformation.
Develop internal policies or tools to guide strategic decisions regarding the integration of generative AI within your organization
Curriculum
This Course contains 7 Modules.
Understanding the evolution and significance of AI over time.
Applications and use case of GenAI
Impact of Generative AI across Industries
Impact of Generative AI across Job Roles and Products
Exploring the role of generative AI in driving business value and innovation.
Roles of AI in Strategic Decision-making
Building AI Policies within Your Organization
Build a Plan for Implementing Generative AI in Your Organization
Introduction to foundation models and their advantages in AI applications.
Architectures of AI Systems
Understand the importance of machine learning system architectures and their various components.
Distinguish between the applications of various machine learning capabilities, including classifiers, regressors, optimizers, simulators, policy learners, and segmenters.
Differentiate between the capabilities of natural language processing, voice/ speech processing, and computer vision.
Learn the importance and potential costs of labeling data for supervised learning.
Understand AI infrastructure requirements, and how to overcome common hurdles in implementing it.
Evaluate data readiness for implementation of particular ML/AI capabilities in a business context, and use this to assess feasibility of use cases.
Addressing challenges like AI hallucination, bias, and risk while emphasizing governance and ethical practices.
Leveraging AI to enhance customer experiences and modernize business applications effectively.
