This course allows participants to explore the different categories of AI agents, such as virtual assistants, conversational agents, and autonomous agents. It supports them in defining a clear roadmap for deploying AI agents adapted to the company’s needs.
Objectives
The objective of this course is to understand the different types of AI agents, define a coherent implementation strategy, and plan the stages of design, deployment, and maintenance.
Is it for you ?
Executives, project managers, consultants, and innovation leaders.
Prerequisite
Foundations in artificial intelligence and knowledge of business needs.
Your benefits
Content
Introduction to AI Agents
- Definition of an agent and differences from a traditional LLM.
- Key concepts: autonomy, objectives, memory, ability to act.
- Overview of market technologies.
Short workshop
- Identify an agent in one’s professional environment (existing or potential).
See more + / -
Types of Agents
- In‑depth analysis by category:
- Conversational agents: FAQ, support, onboarding.
- Autonomous agents: report generation, complex automation.
- Multi‑tool agents: able to use APIs and software.
- Orchestrator / multi‑agent systems.
- RAG agents: AI connected to internal data.
Case studies
- HR agent automating employee requests.
- IT agent resolving simple tickets.
- Knowledge assistant agent for centralizing documentation.
Use Case Analysis
- Impact / Complexity matrix.
- Identifying quick wins.
- Selection of 3 priority use cases.
Scope Definition
- Business objectives.
- Limits and responsibilities of the agent.
- Interactions: user, system, data.
- Risks: hallucinations, security, confidentiality.
Design and Tool Selection
- Building a functional diagram.
- Choice of framework (LangChain, AutoGen…) based on:
- Need for autonomy,
- Required integrations,
- Importance of memory,
- Data access (RAG).
- Definition of action logic (tools, APIs, modules).
Practical workshop
- Create a workflow prototype for a simple agent:
- Request reception
- Information extraction
- Decision
- Automated action (e.g., email, note, report)
Deployment Plan
- Phases: prototype → pilot → production.
- Infrastructure: cloud, API access, key management.
- Change management and adoption.
Performance Measurement
- KPIs: success rate, answer quality, speed, user satisfaction.
- Monitoring tools.
- Continuous improvement and maintenance.
💡 Useful information
Our training sessions are offered in Montreal or Quebec City, in person or in virtual format. Dates and locations are provided when you select your session below. If you have any questions regarding registration, schedules, the language of instruction, or cancellation policies, please consult our FAQ .
Trainers
Private or personalized training
Do you have several employees interested in the same training course? Whether in person at your offices or remotely in virtual mode, we offer private training courses tailored to your team's needs. Group rates are available. Contact us for more details or request a quote online.
Request a quote