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Course Outline
Introduction to Agentic AI
- Defining the scope of agentic AI and its distinctions from traditional AI models
- Examining the roles of reasoning, memory, and goal-oriented structures
- Highlighting primary use cases and sector-specific applications
Fundamental Concepts and Design Patterns
- Understanding the agent loop: perception, cognitive processing, and action
- Comparing single-agent configurations with multi-agent ecosystems
- Interacting with environments and executing tool calls
Basics of Prompt Engineering
- Crafting prompts that enhance reasoning and task breakdown
- Leveraging examples, constraints, and role definitions for precise control
- Systematically debugging and refining prompt performance
Constructing Basic Agentic Workflows
- Building an agent loop using Python
- Connecting agents to APIs and lightweight tools
- Managing agent state and memory retention
Responsible Design and Safety Measures
- Ethical frameworks and best practices for agent usage
- Addressing bias, ensuring transparency, and maintaining accountability in AI
- Implementing access controls, data security, and content safety protocols
Practical Project: Creating a Responsible Agent
- Establishing the problem domain and project goals
- Creating the prompt strategy and control mechanisms
- Testing, optimizing, and assessing agent performance
Requirements
- A foundational grasp of AI or machine learning theories
- Proficiency in Python syntax and scripting basics
- Practical experience with data handling or API-driven applications
Intended Audience
- Data scientists expanding their skill set into agentic AI development
- Junior ML engineers investigating applied agent architectures
- Technology leaders aiming to gain insight into agent design and safety frameworks
14 Hours
Testimonials (3)
The trainer is patient and very helpful. He knows the topic well.
CLIFFORD TABARES - Universal Leaf Philippines, Inc.
Course - Agentic AI for Business Automation: Use Cases & Integration
Good mixvof knowledge and practice
Ion Mironescu - Facultatea S.A.I.A.P.M.
Course - Agentic AI for Enterprise Applications
The mix of theory and practice and of high level and low level perspectives
