
Ai Agents And Agentic Ai For Leaders
Published 10/2025
Created by Stuart Wesselby
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 43 Lectures ( 2h 38m) | Size: 1.16 GB
Lead the future with confidence-learn how AI agents and agentic systems are transforming business, strategy.
What you'll learn
Understand the key concepts and components of AI agents and agentic AI systems.
Analyze how AI agents make decisions using goals, memory, and planning mechanisms.
Evaluate the business implications and strategic value of agentic AI.
Recognize the limitations, risks, and ethical considerations of deploying AI agents.
Differentiate between traditional AI systems and autonomous agentic architectures.
Explore real-world applications of agentic AI across various industries.
Learn how to communicate effectively with technical teams about agentic systems.
Develop an action plan for incorporating agentic AI into organizational strategy.
Requirements
No experience of AI Agents or Agentic AI
Description
AI Agents and Agentic AI for LeadersAs AI continues to evolve, a new generation of systems-known as AI agents or agentic AI-is reshaping how work gets done, how products are built, and how decisions are made. Unlike traditional AI tools that respond to prompts, agentic AI systems can pursue goals, plan actions, adapt to changing environments, and operate with increasing autonomy. For leaders, understanding these systems is no longer optional-it's essential.This course is designed specifically for non-technical professionals, executives, and decision-makers who want to gain a clear, practical understanding of AI agents and their implications for business and strategy. You'll learn what agentic AI is, how it works, and how it differs from conventional AI models like chatbots or recommendation engines. We'll go over the architecture of intelligent agents-covering components such as memory, planning, goals, and tools-and show how these elements combine to create systems that can reason, act, and learn over time.Through real-world examples and easy-to-follow explanations, you'll see how agentic AI is already being used in industries like finance, healthcare, customer service, and software development. You'll learn to critically assess the opportunities and risks associated with deploying these systems in your own organisation, including ethical considerations, operational challenges, and the importance of aligning agents with human values and business objectives.We'll have over tools and platforms emerging in the agentic AI space, giving you a foundation to evaluate vendors, collaborate with technical teams, or explore your own projects. By the end of the course, you'll be equipped with a working knowledge of how agentic AI can support innovation, productivity, and decision-making at scale.Whether you're a leader looking to future-proof your organisation, a product manager exploring new capabilities, or a consultant advising clients on AI adoption, this course will give you the strategic insight you need to lead in an AI-powered world-without requiring any programming experience.No prior AI background is necessary. The course is taught in clear, simple language with a focus on practical understanding and actionable insights."This course contains the use of artificial intelligence."
Who this course is for
Business executives seeking to understand AI agent capabilities and impact
Product managers exploring the integration of AI agents into digital products
Innovation leaders driving AI adoption within their organizations
Strategy consultants advising clients on emerging AI technologies
Startup founders building AI-driven solutions or services
Non-technical leaders aiming to collaborate effectively with technical teams
Digital transformation officers looking to incorporate agentic AI into workflows
Policymakers and regulators interested in AI systems and governance
Learning and development managers designing AI literacy programs
nvestors evaluating startups that leverage agentic AI technologies
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