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Course Outline
Introduction to Agentic AI
- Defining agentic AI and its distinction from conventional AI systems
- An overview of reasoning, memory, and goal-oriented architectures
- Primary use cases and sector-specific applications
Essential Concepts and Architectural Patterns
- The agent loop: encompassing perception, reasoning, and action
- Comparing single-agent and multi-agent configurations
- Interactions with the environment and tool calling
Foundations of Prompt Engineering
- Crafting prompts that facilitate reasoning and task breakdown
- Leveraging examples, constraints, and role definitions for enhanced control
- Systematic approaches to debugging and refining prompts
Developing Basic Agentic Workflows
- Coding an agent loop using Python
- Connecting with APIs and basic utility tools
- Oversight of agent state and memory management
Ethical Design and Safety Protocols
- Moral implications and the responsible application of agents
- Addressing bias, ensuring transparency, and maintaining accountability in AI
- Implementing access controls, data security, and content safeguards
Practical Project: Creating an Ethical Agent
- Establishing the problem scope and clear objectives
- Formulating prompts and control mechanisms
- Conducting tests, refining logic, and assessing agent performance
Requirements
- Foundational knowledge of AI or machine learning principles
- 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 applied agent architectures
- Technology leaders aiming to grasp agent design and safety fundamentals
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
