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Course Outline
Overview of Agentic AI
- Defining agentic AI and distinguishing it from conventional AI systems
- An introduction to reasoning, memory, and goal-oriented architectures
- Primary use cases and cross-industry applications
Foundational Concepts and Architectural Patterns
- The agent cycle: sensing, reasoning, and executing actions
- Comparing single-agent and multi-agent configurations
- Interacting with environments and invoking tools
Basics of Prompt Engineering
- Crafting prompts that enhance reasoning and break down complex tasks
- Leveraging examples, constraints, and role definitions for precise control
- Systematically debugging and refining prompts
Creating Basic Agentic Workflows
- Building an agent loop using Python
- Connecting with APIs and basic utility tools
- Handling agent state and memory management
Ethical Design and Safety Protocols
- Ethical considerations and responsible deployment of agents
- Addressing bias, ensuring transparency, and maintaining accountability in AI
- Managing access control, data privacy, and content safety
Practical Exercise: Building an Ethical Agent
- Establishing the problem scope and learning objectives
- Writing prompts and control logic
- Testing, optimizing, and assessing agent performance
Requirements
- A foundational grasp of AI or machine learning concepts
- Proficiency with Python syntax and scripting basics
- Experience interacting with data or API-driven applications
Target Audience
- Data scientists venturing into agentic AI development
- Junior ML engineers investigating practical agent architectures
- Tech managers aiming to grasp agent design and security 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
