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Course Outline
Getting Started with Agentic AI
- Defining agentic AI and its distinction from conventional AI systems
- An overview of reasoning, memory, and goal-oriented architectures
- Key use cases and applications across various industries
Fundamental Concepts and Architectural Patterns
- The agent cycle: perception, reasoning, and execution
- Comparing single-agent and multi-agent configurations
- Interaction with environments and invoking external tools
Basics of Prompt Engineering
- Crafting prompts that facilitate reasoning and task breakdown
- Leveraging examples, constraints, and role definitions for enhanced control
- Systematically debugging and refining prompts
Constructing Basic Agentic Workflows
- Implementing an agent loop using Python
- Connecting with APIs and utilising simple tools
- Handling agent state and memory management
Ethical Design and Safety Protocols
- Ethical implications and responsible deployment of agents
- Addressing bias, ensuring transparency, and maintaining accountability
- Managing access control, data privacy, and content safety
Practical Project: Creating a Responsible Agent
- Establishing problem scope and project objectives
- Writing prompts and defining control logic
- Testing, iterating, and assessing agent performance
Requirements
- A foundational grasp of AI or machine learning concepts
- Proficiency with Python syntax and scripting
- Practical experience with data handling or API-driven applications
Target Audience
- Data scientists beginning their journey in agentic AI development
- Junior ML engineers investigating practical agent architectures
- Technology leaders looking 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