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 distinguishing it from conventional AI systems
- An overview of reasoning, memory, and goal-oriented architectures
- Primary use cases and sector-specific applications
Fundamental Concepts and Architectural Patterns
- The agent loop: encompassing perception, reasoning, and action
- Comparing single-agent versus multi-agent systems
- Interactions with the environment and tool utilization
Basics of Prompt Engineering
- Creating effective prompts for reasoning and breaking down tasks
- Leveraging examples, constraints, and role assignments for enhanced control
- Systematic debugging and iteration of prompts
Developing Basic Agentic Workflows
- Implementing an agent loop using Python
- Connecting with APIs and simple utility tools
- Handling agent state and memory management
Ethical Design and Safety Protocols
- Ethical implications and the responsible deployment of agents
- Addressing bias, ensuring transparency, and maintaining accountability in AI
- Managing access controls, data privacy, and content safety
Practical Project: Crafting a Responsible Agent
- Establishing the problem scope and defining objectives
- Formulating prompts and control logic
- Conducting tests, refinements, and performance evaluations of agent behavior
Requirements
- A foundational grasp of AI or machine learning principles
- Proficiency in Python syntax and scripting
- Prior experience with data manipulation or API-driven applications
Target Audience
- Data scientists venturing into the realm of agentic AI development
- Junior ML engineers exploring the application of agent architectures
- Technology leaders aiming to comprehend agent design standards 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
