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Course Outline
Introduction to Agentic AI
- Defining agentic AI and distinguishing it from conventional AI systems
- Examining reasoning, memory, and goal-oriented architectures
- Highlighting key use cases and sector-specific applications
Core Concepts and Architectural Patterns
- The agent cycle: perception, reasoning, and execution
- Comparing single-agent versus multi-agent configurations
- Interacting with environments and invoking tools
Essentials of Prompt Engineering
- Crafting prompts that facilitate reasoning and task breakdown
- Utilizing examples, constraints, and role definitions for enhanced control
- Systematic debugging and iterative refinement of prompts
Developing Basic Agentic Workflows
- Coding an agent loop using Python
- Connecting with APIs and basic utility tools
- Oversight of agent state and memory management
Ethical Design and Safety Protocols
- Navigating ethical challenges and responsible deployment of agents
- Addressing bias, transparency, and accountability in AI
- Implementing access controls, data privacy, and content safeguards
Practical Project: Creating a Responsible Agent
- Establishing the problem scope and project goals
- Building the prompt structure and control logic
- Conducting tests, refinements, and behavior evaluations
Requirements
- A foundational grasp of AI or machine learning principles
- Proficiency with Python syntax and basic scripting
- Practical experience with data handling or API-driven applications
Target Audience
- Data scientists exploring agentic AI development
- Junior ML engineers investigating applied agent architectures
- Technology leaders aiming to grasp 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
