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Course Outline
Introduction to Agentic AI
- Clarifying the definition of agentic AI and its distinction from traditional AI systems
- An overview of reasoning mechanisms, memory retention, and goal-oriented architectures
- Major use cases and applications across various industries
Core Principles and Architectural Patterns
- The agent cycle: perception, logical reasoning, and execution
- Comparing single-agent and multi-agent system architectures
- Interacting with environments and invoking external tools
Foundations of Prompt Engineering
- Creating effective prompts for complex reasoning and task breakdown
- Leveraging examples, constraints, and role definitions for enhanced control
- Systematic debugging and iterative refinement of prompts
Constructing Basic Agentic Workflows
- Building an agent loop using Python
- Connecting with APIs and basic utility tools
- Managing agent state and memory systems
Ethical Design and Safety Protocols
- Ethical implications and responsible deployment of agents
- Addressing bias, ensuring transparency, and establishing accountability in AI
- Implementing access controls, data security, and content safety measures
Practical Project: Developing a Responsible Agent
- Establishing problem scope and project objectives
- Crafting prompts and control logic
- Conducting tests, refinements, and behavioral evaluations
Requirements
- A foundational grasp of artificial intelligence or machine learning concepts
- Proficiency with Python syntax and scripting standards
- Practical experience handling data or API-driven applications
Target Audience
- Data scientists beginning their journey into agentic AI development
- Junior ML engineers investigating applied agent architectures
- Technology leaders aiming to comprehend agent design and safety standards
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
