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Course Outline
Introduction to Agentic AI
- Defining agentic AI and its distinction from conventional AI systems
- Surveying reasoning mechanisms, memory structures, and goal-oriented architectures
- Examining primary use cases and sector-specific applications
Foundational Concepts and Architectural Patterns
- The agent cycle: perception, reasoning, and execution
- Comparing single-agent and multi-agent system configurations
- Interacting with the environment and invoking external tools
Basics of Prompt Engineering
- Crafting prompts that facilitate reasoning and task breakdown
- Leveraging examples, constraints, and role assignments for enhanced control
- Systematic approaches to debugging and refining prompts
Creating Basic Agentic Workflows
- Coding an agent loop using Python
- Connecting agents to APIs and lightweight tools
- Handling agent state and managing memory resources
Ethical Design and Safety Protocols
- Navigating ethical implications and responsible deployment of agents
- Addressing bias, ensuring transparency, and maintaining accountability in AI
- Implementing access controls, data privacy measures, and content safeguards
Practical Exercise: Engineering a Responsible Agent
- Establishing the problem boundaries and project goals
- Constructing the prompt logic and control mechanisms
- Testing, optimizing, and assessing agent performance
Requirements
- A foundational grasp of AI or machine learning principles
- Comfort with Python syntax and scripting fundamentals
- Prior experience handling data or working with API-driven applications
Target Audience
- Data scientists beginning their journey in agentic AI development
- Junior ML engineers investigating practical agent architectures
- Technology leaders aiming to grasp the design and safety dimensions of agent systems
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
