AI Agent Training focuses on designing, developing, and deploying AI agents powered by Large Language Models (LLMs) that can plan tasks, interact with external tools, and automate specific business processes.

The course covers essential agent capabilities, including Tool Calling, planning and execution loops, memory architectures, and agent orchestration. Participants explore architectural approaches ranging from single-agent workflows to coordinated multi-agent systems.

Beyond agent development, the program examines how these systems can be integrated into enterprise environments securely and sustainably. Key topics include Prompt Engineering, RAG integration, function calling, data management, security, KVKK/GDPR compliance considerations, CI/CD, monitoring, and observability.

Participants gain the technical and architectural knowledge needed to develop solutions for enterprise use cases such as intelligent operations assistants, self-service support bots, and data analysis agents.

For corporate groups, we can organize this training as an on-site private group.

Prerequisites

There are no mandatory prerequisites for attending this training.

Who Should Attend

Data Scientists
Machine Learning (ML) and LLM Engineers
Software Developers and Platform Engineers
DevOps and Site Reliability Engineering (SRE) professionals
Industry specialists working in cybersecurity, finance, healthcare, and retail
Technology Consultants and Entrepreneurs
Product Managers and Project Managers

What You Will Learn

Upon completing this training, you will be able to:

Explain how LLM-powered AI Agents work and identify their core components.
Design agent architectures using Planner, Executor, and Critic components.
Connect agents to external tools through Tool Calling and Function Calling.
Build task-oriented workflows using Prompt Engineering and Task Modeling.
Manage agent knowledge through short-term and long-term memory structures.
Incorporate relevant and up-to-date information using RAG integration.
Evaluate Single-Agent and Multi-Agent architectures for different use cases.
Design scalable automation systems using Dynamic Planning and multi-agent coordination.
Consider Prompt Injection defenses, PII Masking, and data protection requirements.
Relate CI/CD, Monitoring, and Observability practices to agent deployment.
Evaluate architectural choices that affect API and token costs.
Apply agent development approaches to support bots, operations assistants, and data analysis agents.

Training Outline

1. Introduction to AI Agents and Core Concepts

Course Scope and Objectives

Overview of the program structure, modules, and schedule
Participant profiles and prerequisite considerations
Learning objectives, success indicators, and evaluation criteria

Understanding AI Agents and Their Evolution

Definition and motivation behind AI Agents
Evolution from rule-based systems to data-driven and LLM-powered agents
Development of approaches such as AutoGPT, BabyAGI, CrewAI, and OpenAI Function Calling
The role of Tool Use in extending agent capabilities

Agent Ecosystem and Fundamental Components

Planner component
Executor component
Critic component
Short-term, long-term, episodic, and semantic memory
Toolbox structure and tool utilization
Action–Observation loops
Single-agent and multi-agent systems
Synchronous and asynchronous orchestration

2. Architectural Design and System Components

This section examines the architectural structure of AI Agent systems and the interaction between their components.

Fundamental components of agent architectures
Interaction between Planner, Executor, and Critic
Single-Agent system design
Multi-Agent coordination
Dynamic planning and task execution
Scalable agent architectures for enterprise applications

3. Task Modeling and Prompt Engineering

Principles of Task Modeling
Transforming user requests into executable agent tasks
The role of Prompt Engineering in agent behavior
Structuring planning–execution loops
LLM-powered workflows supported by external tools
Evaluating task outcomes

4. Memory and Data Management

AI Agent memory architectures
Short-Term Memory
Long-Term Memory
Episodic Memory
Semantic Memory
Retrieval-Augmented Generation (RAG) integration
Incorporating current data into agent workflows
Data management and information retrieval

5. Tool Integration and Toolbox Management

Tool Calling and Function Calling
Connecting agents with external tools and services
Organizing the agent Toolbox
Using tools through the Action–Observation loop
Tool-Augmented LLM approaches
Evaluating API and token usage costs

6. Multi-Agent Systems and Enterprise Workflows

Advanced topics identified in the course overview include:

Multi-Agent Coordination
Task distribution and collaboration between agents
Workflow execution through Dynamic Planning
Scalability for increasing user and task demands
Enterprise automation scenarios
Intelligent Operations Assistants, Support Bots, and Data Analysis Agents

7. Security, Compliance, and Production Deployment

Topics reflected in the course overview and learning outcomes include:

Defensive approaches against Prompt Injection
Personally Identifiable Information (PII) Masking
The impact of KVKK and GDPR requirements on architectural design
Security and auditability of agent systems
CI/CD practices
Monitoring and Observability
Production Deployment
Agent lifecycle and operational management

Why Choose Us

Leading UK-based global training provider since 1995.

Experience AI Agent in Canada through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

Delivery Method: Online Instructor-Led
Participation Model: Public / Private (In-house)
Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's professional training experience since 1995.
Worldwide Access: Join our live virtual classrooms from Canada or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience AI Agent through face-to-face Classroom Based training in Canada. Training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class for your organization.

Delivery Method: Classroom Based
Participation Model: Public / Private (In-house)
Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange AI Agent in Canada as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

Delivery Method: Onsite
Participation Model: Private (In-house)
Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
Worldwide Onsite Delivery: Arrange the training in Canada or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.

AI Agent Training in Canada