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Course Outline
Introduction to Agentic AI
- Defining agentic AI and its distinction from conventional AI systems
- Examining reasoning, memory, and goal-oriented architectures
- Reviewing key use cases and sector-specific applications
Core Concepts and Design Patterns
- The agent cycle: perception, reasoning, and execution
- Comparing single-agent and multi-agent architectures
- Managing environment interactions and tool calls
Foundations of Prompt Engineering
- Crafting prompts that support reasoning and task breakdown
- Leveraging examples, constraints, and role definitions for enhanced control
- Systematically debugging and refining prompts
Constructing Basic Agentic Workflows
- Coding an agent loop using Python
- Connecting with APIs and auxiliary tools
- Handling agent state and memory management
Responsible Design and Safety Protocols
- Ethical frameworks and the responsible application of agents
- Addressing bias, transparency, and accountability within AI
- Enforcing access controls, data privacy, and content safety
Practical Project: Creating a Responsible Agent
- Establishing the scope and goals of the problem
- Developing the underlying prompt and control mechanisms
- Testing, optimizing, and assessing agent performance
Requirements
- Fundamental grasp of AI or machine learning concepts
- Knowledge of Python syntax and scripting
- Background in handling data or API-driven applications
Target Audience
- Data scientists beginning their journey in agentic AI development
- Junior ML engineers investigating practical agent architectures
- Technology managers looking to grasp 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
