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Course Outline
Introduction to Agentic AI
- Defining agentic AI and its distinction from traditional AI systems
- An overview of reasoning, memory, and goal-oriented architectures
- Highlighting key use cases and industry applications
Key Concepts and Architectural Patterns
- The agent loop: understanding perception, reasoning, and action
- Comparing single-agent and multi-agent systems
- Interacting with environments and invoking tools
Basics of Prompt Engineering
- Crafting effective prompts for reasoning and breaking down complex tasks
- Leveraging examples, constraints, and role assignments for precise control
- Systematically debugging and refining prompts
Creating Simple Agentic Workflows
- Building an agent loop using Python
- Connecting to APIs and basic tools
- Handling agent state and memory management
Responsible Design and Safety Protocols
- Exploring ethical considerations and the responsible use of agents
- Addressing bias, transparency, and accountability in AI systems
- Implementing access control, data privacy, and content safety measures
Practical Project: Designing a Responsible Agent
- Establishing problem scope and project objectives
- Formulating prompts and control logic
- Testing, iterating, and assessing agent performance
Requirements
- A foundational grasp of AI or machine learning concepts
- Proficiency in Python syntax and scripting
- Practical experience with data handling or API-driven applications
Target Audience
- Data scientists new to developing agentic AI
- Junior ML engineers investigating applied agent architectures
- Technology leaders aiming 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
