AI
Introduction to Agentic AI
Generative AI tools such as ChatGPT to provide responses based on a single interaction. A person makes a query (or “prompt”) and the AI uses natural language processing to respond.
The next powerful wave of artificial intelligence is agentic AI, which uses advanced reasoning and iterative planning to autonomously solve complex, multi-step problems. Agentic AI promises to enhance productivity and operations across industries and enterprises.
This course provides an introduction to Agentic AI: how it works, common use cases, and current tools for building autonomous AI agents.
Duration
1 day
audience
- Data scientists, developers, AI enthusiasts, and decision-makers looking to understand the concept of agentic AI and its applications.
In the duration of this course, students will:
- Understand what agentic AI is and how it differs from traditional AI systems.
- Explore use cases and applications of agentic AI.
- Learn about ethical considerations and risks.
- Get hands-on experience with basic agentic AI tools.
Module 1: Introduction to Agentic AI
- Definition and key concepts of agentic AI.
- Difference between task-based AI and agentic AI.
- The evolution of agent-based systems.
- Real-world examples of agentic AI applications.
Module 2: Agentic AI Architecture
- How agentic AI systems are built.
- Overview of key components:
- Memory
- Goal-setting
- Autonomy
- Frameworks and tools for building agents (e.g., LangChain, AutoGPT).
Module 3: Use Cases and Applications
- Personal assistants and task automation.
- Research assistants for summarization and data analysis.
- Business process automation and decision-making.
Module 4: Ethical Considerations and Risks
- Risks associated with autonomous agents.
- Ethical concerns: bias, control, and accountability.
- Strategies for mitigating risks.
Module 5: Demo (Hands-On) Activity
- Building a simple autonomous agent using LangChain or AutoGPT.
- Set a goal for the agent.
- Demonstrate task execution and iteration.
- Discuss outputs and limitations.
Module 6: Future of Agentic AI
- Emerging trends in agentic AI.
- The role of multi-modal agents.
- Where agentic AI is heading.
Q&A and Wrap-Up
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- Recap key concepts.
- Open Q&A session.
- Resources for further learning.
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Is there a discount available for current students?
UMBC students and alumni, as well as students who have previously taken a public training course with UMBC Training Centers are eligible for a 10% discount, capped at $250. Please provide a copy of your UMBC student ID or an unofficial transcript or the name of the UMBC Training Centers course you have completed. Asynchronous courses are excluded from this offer.
What is the cancellation and refund policy?
Student will receive a refund of paid registration fees only if UMBC Training Centers receives a notice of cancellation at least 10 business days prior to the class start date for classes or the exam date for exams.