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Course Outline
Introduction to Agentic AI
- Defining agentic AI and its distinction from traditional AI systems
- Summary of reasoning, memory, and goal-oriented architectural elements
- Primary use cases and commercial applications
Core Concepts and Design Patterns
- The agent loop: encompassing perception, reasoning, and action
- Comparing single-agent and multi-agent system structures
- Interaction with environments and execution of tool calls
Prompt Engineering Fundamentals
- Crafting effective prompts for logical reasoning and task breakdown
- Leveraging examples, constraints, and role definitions for improved control
- Systematic debugging and iterative refinement of prompts
Constructing Basic Agentic Workflows
- Implementing the agent loop using Python
- Connecting with APIs and basic utility tools
- Handling agent state and memory management
Responsible Design and Safety Protocols
- Ethical implications and ethical deployment of agents
- Addressing bias, transparency, and accountability within AI systems
- Managing access control, data security, and content integrity
Practical Project: Developing an Ethical Agent
- Establishing the problem scope and target objectives
- Formulating the prompt and control mechanisms
- Testing, optimizing, and assessing agent performance
Requirements
- Fundamental comprehension of AI or machine learning concepts
- Proficiency with Python syntax and scripting
- Practical experience with data handling or API-driven applications
Target Audience
- Data scientists beginning their journey in agentic AI development
- Junior ML engineers exploring practical agent architectures
- Technology managers looking to grasp agent design and safety fundamentals
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
