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Course Outline
Introduction to Agentic AI
- Defining agentic AI and its distinction from conventional AI systems
- An overview of reasoning, memory, and goal-oriented architectures
- Primary use cases and sector-specific applications
Essential Concepts and Design Patterns
- The agent cycle: perception, inference, and execution
- Comparing single-agent and multi-agent ecosystems
- Interacting with environments and invoking tools
Basics of Prompt Engineering
- Crafting prompts optimized for reasoning and task breakdown
- Leveraging examples, constraints, and role definitions for enhanced control
- Systematically debugging and refining prompts
Constructing Basic Agentic Workflows
- Building an agent loop using Python
- Connecting with APIs and basic tools
- Overseeing agent state and memory management
Ethical Design and Safety Protocols
- Ethical implications and responsible deployment of agents
- Addressing bias, ensuring transparency, and establishing accountability in AI
- Managing access control, data privacy, and content safety
Practical Project: Creating an Ethical Agent
- Establishing the problem scope and project goals
- Developing the prompt structure and control mechanisms
- Testing, optimizing, and assessing agent performance
Requirements
- A foundational grasp of AI or machine learning principles
- Proficiency in Python syntax and scripting
- Prior experience with data-centric or API-driven applications
Target Audience
- Data scientists new to the domain of agentic AI development
- Junior ML engineers investigating applied agent architectures
- Technology managers aiming to comprehend agent design and safety principles
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
