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Course Outline
Introduction to Agentic AI
- Defining agentic AI and distinguishing it from traditional AI systems
- Exploring architectures centered on reasoning, memory, and goal orientation
- Examining key use cases and their application across industries
Core Concepts and Design Patterns
- The agent loop: encompassing perception, reasoning, and action
- Comparing single-agent versus multi-agent system architectures
- Interacting with environments and invoking external tools
Prompt Engineering Fundamentals
- Crafting effective prompts for logical reasoning and task breakdown
- Leveraging examples, constraints, and role definitions for enhanced control
- Systematically debugging and refining prompts through iteration
Building Simple Agentic Workflows
- Implementing the agent loop using Python
- Connecting with APIs and integrating basic tools
- Handling agent state and managing memory resources
Responsible Design and Safety Practices
- Addressing ethical implications and promoting responsible agent usage
- Mitigating bias while ensuring transparency and accountability in AI
- Enforcing access control, data security, and content safety standards
Hands-on Project: Designing a Responsible Agent
- Establishing the problem scope and defining key objectives
- Developing the prompt structure and control logic
- Testing, optimizing, and assessing agent performance
Requirements
- A foundational grasp of AI or machine learning principles
- Proficiency in Python syntax and scripting
- Practical experience with data handling or API-driven applications
Target Audience
- Data scientists beginning their journey into agentic AI development
- Junior ML engineers exploring applied agent architectures
- Technology managers looking to comprehend agent design and safety protocols
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
