Prompt Engineering for Better AI Results: 1 Day Session in Montreal
Schedule
Thu, 22 Jan, 2026 at 09:00 am to Wed, 10 Jun, 2026 at 05:00 pm
UTC-05:00Location
Regus Montreal, ON V6C 3E8 Canada | Montreal, QC
About this Event
Group Discounts:
- Save 10% when registering 3 or more participants
- Save 15% when registering 10 or more participants
Duration: 1 Full Day (9:00 AM – 5:00 PM)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, beverages, and light snacks included
Course Overview
This 1 Day Prompt Engineering course focuses on the practical skill of communicating effectively with AI tools. It explains how prompt structure, clarity, context, and constraints influence AI responses. The course moves from basic prompting concepts to more refined techniques used in professional and business environments. Emphasis is placed on accuracy, relevance, and repeatable results rather than technical complexity. By the end of the session, learners gain confidence in designing prompts that consistently deliver useful outcomes.
Learning Objectives
By the end of this course, you will:
- Understand how prompts influence AI responses
- Write clear and structured prompts for better outputs
- Improve accuracy and relevance in AI-generated results
- Apply different prompt types for different needs
- Refine prompts through iteration and feedback
- Use AI responsibly and ethically
- Build repeatable prompting frameworks for daily work
Target Audience
- Working professionals using AI tools
- Students and educators
- Content writers and marketers
- Analysts and researchers
- Managers and business leaders
- Anyone seeking better results from AI tools
Why Choose This Course?
This course is led by an experienced trainer with strong practical exposure to AI-assisted workflows. The focus is on real-world usability rather than technical theory. Concepts are explained in simple language with relatable examples. The 1 Day format ensures fast learning with immediate productivity benefits.
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Want to train your entire team?
This course can be delivered as a customized in-house program aligned with organizational AI usage goals. Content can be adapted based on roles, industries, and use cases. Team-specific scenarios can be incorporated for better relevance. Flexible delivery options ensure measurable improvements in AI productivity.
📧 Contact us today to schedule a customized in-house, face-to-face session:
Agenda
Module 1: Introduction to Prompt Engineering
Info:
• Understand what prompt engineering means in simple terms
• Learn how AI interprets prompts and instructions
• Identify common problems caused by weak prompts
• Icebreaker
Module 2: Anatomy of an Effective Prompt
Info:
• Break prompts into task, context, and output format
• Use clarity and specificity to guide AI responses
• Avoid ambiguity and vague instructions
• Case Study
Module 3: Prompt Types & Use Cases
Info:
• Understand informational, creative, and analytical prompts
• Match prompt type to desired outcome
• Apply prompts to everyday work scenarios
• Activity
Module 4: Improving Accuracy & Relevance
Info:
• Add constraints and instructions for better results
• Use examples to guide AI responses
• Reduce hallucinations and irrelevant outputs
• Role Play
Module 5: Iteration & Prompt Refinement
Info:
• Refine prompts through follow-up instructions
• Adjust tone, depth, and format effectively
• Learn when to reframe instead of repeating prompts
• Simulation
Module 6: Responsible & Ethical Prompting
Info:
• Understand limits and risks of AI-generated content
• Maintain human judgment and accountability
• Avoid misuse and overdependence on AI
• Case Study
Module 7: Building a Personal Prompting Framework
Info:
• Create reusable prompt templates
• Apply prompting strategies across tasks and roles
• Develop a consistent AI interaction workflow
• Activity
Where is it happening?
Regus Montreal, ON V6C 3E8 Canada, 1200 Avenue McGill College, Montreal, CanadaEvent Location & Nearby Stays:
CAD 600.16 to CAD 781.15
