
Trace the evolution from reactive chatbots to agentic ai, highlighting autonomy, memory, tools, and planning as the four core capabilities that enable end-to-end task execution.
Explore the agent loop, perceive, plan, act, observe, and how tools, memory, and multi-agent orchestration enable scalable, governance-aware artificial intelligence in business.
Explore how agentic AI is deployed across finance, healthcare, HR, operations, legal, and tech, with trading, research, customer service, and coding agents, plus governance and human oversight considerations.
Learn how the EU AI Act governs transparency and disclosure to users, synthetic content labeling, and GP AI obligations—covering documentation, copyright compliance, and codes of practice for high capability models.
This course contains the use of artificial intelligence.
AI has stopped merely answering and started acting. Agentic AI — systems that plan, use tools, and carry out multi-step tasks autonomously — is moving rapidly into finance, healthcare, HR, legal, and technology. Yet most professionals can't clearly explain how these agents work, where they create value, or where they create serious risk. This short, focused course closes that gap. In plain language and with zero technical prerequisites, it gives business professionals the literacy to understand, evaluate, and safely work alongside AI agents — and to recognize the governance every organization now needs.
What this course covers
What makes AI "agentic" — autonomy, memory, tools, and planning — and how agents differ from chatbots and generative AI
How AI agents actually work: the perceive-plan-act-observe loop, multi-agent systems, and human-in-the-loop oversight
Real agentic AI use cases across finance, healthcare, HR, legal, and technology
The business opportunities — and the critical risks: hallucination at scale, runaway agents, prompt injection, privacy exposure, and accountability gaps
The governance essentials: human checkpoints, scope limitation, audit trails, and EU AI Act implications
How your own role shifts from prompt writer to "agent director"
Who will benefit
Business professionals, managers, and team leaders adapting to an agent-driven workplace
Risk, compliance, governance, and operations staff who must oversee autonomous AI
Anyone seeking a structured foundation before moving into deeper AI governance or deployment topics
What you get
Scenario-based chapter quizzes at the end of every section
An initial benchmark assessment and a full-length final practice test
Hands-on assignments and realistic role-play scenarios
A downloadable toolkit — glossary, cheat sheets, checklists, and templates
Prerequisites
No technical or coding background is required. A basic familiarity with everyday AI tools (such as ChatGPT) is helpful but not essential. All you need is curiosity and a willingness to think about how AI agents could reshape your role and your organization.
Where this fits
This is a foundational course on the Fortivance Academy AI Governance and Agentic & Emerging AI track. It builds the literacy needed before progressing toward agent architecture and frameworks, enterprise deployment and monitoring, and the governance and regulatory disciplines — including the EU AI Act — that apply to autonomous AI systems.