Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to Agentic AI
- Defining Agentic AI and its distinction from traditional AI models
- A review of reasoning, memory, and goal-oriented architectural structures
- Exploration of primary use cases and sector-specific applications
Core Concepts and Design Patterns
- The agent loop: encompassing perception, reasoning, and action
- Comparing single-agent and multi-agent system architectures
- Interactions with environments and the invocation of external tools
Prompt Engineering Fundamentals
- Crafting prompts that facilitate reasoning and task breakdown
- Leveraging examples, constraints, and role definitions for enhanced control
- Systematically debugging and refining prompts
Building Simple Agentic Workflows
- Implementing the agent loop using Python
- Connecting to APIs and integrating simple tools
- Handling agent state and memory management
Responsible Design and Safety Practices
- Ethical implications and the responsible application of autonomous agents
- Addressing bias, ensuring transparency, and maintaining accountability in AI
- Managing access controls, data protection, and content safety
Hands-on Project: Designing a Responsible Agent
- Defining the scope and objectives of the problem
- Formulating the prompt structure and control logic
- Conducting tests, refining processes, and evaluating agent performance
Requirements
- A fundamental grasp of AI or machine learning principles
- Proficiency in Python syntax and scripting
- Practical experience with data handling or API-based applications
Audience
- Data scientists beginning their exploration of agentic AI development
- Junior ML engineers investigating applied agent architectures
- Technology managers aiming to comprehend agent design and safety principles
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
