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
Overview of Agentic AI
- Defining agentic AI and its distinction from traditional AI systems
- An introduction to reasoning, memory, and goal-oriented architectures
- Primary use cases and sector-specific applications
Key Principles and Architectural Patterns
- The agent cycle: perception, reasoning, and action
- Distinguishing between single-agent and multi-agent systems
- Interaction with environments and the invocation of tools
Basics of Prompt Engineering
- Crafting effective prompts for logical reasoning and task breakdown
- Leveraging examples, constraints, and role definitions for enhanced control
- Systematic debugging and iterative refinement of prompts
Constructing Basic Agentic Workflows
- Building an agent loop using Python
- Connecting with APIs and basic utility tools
- Overseeing agent state and memory management
Responsible Architecture and Safety Protocols
- Ethical implications and responsible deployment of agents
- Addressing bias, ensuring transparency, and maintaining accountability in AI systems
- Implementing access controls, data privacy measures, and content safety standards
Practical Exercise: Creating a Responsible Agent
- Establishing the problem scope and defining objectives
- Formulating prompts and control logic
- Testing, optimizing, and assessing agent performance
Requirements
- A foundational grasp of AI or machine learning principles
- Proficiency in Python syntax and scripting
- Experience handling data or interacting with API-driven applications
Target Audience
- Data scientists beginning their journey in agentic AI development
- Junior ML engineers investigating applied agent architectures
- Technology managers 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
