AI Prompt Engineering Training in Vancouver

AI Prompt Engineering Training in Vancouver, Canada

Participants will gain confidence in using prompts to control AI output across multiple platforms such as ChatGPT, Claude, GitHub Copilot, and Midjourney.

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AI Prompt Engineering Training is a professional training program delivered by ProgNXT in Vancouver, Canada. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this AI Prompt Engineering Training course with hands-on, instructor-led sessions. This intensive workshop provides participants with hands-on, practical knowledge of prompt engineering — the skill of crafting...

Expert Panel

Designed by the ProgNXT AI & Data Science Expert Panel, specializing in Generative AI, Machine Learning, and ChatGPT applications

ProgNXT AI & Data Science Expert Panel

Course Code: TKU37
14 Hrs
Last Updated: April 2026

Course Rating5/5

This intensive workshop provides participants with hands-on, practical knowledge of prompt engineering — the skill of crafting effective instructions to communicate with AI systems. The course explores prompt design principles, platform-specific behaviors, workflow automation, and real-world applications across text, code, and image-based AI tools.

Participants will gain confidence in using prompts to control AI output across multiple platforms such as ChatGPT, Claude, GitHub Copilot, and Midjourney. The course combines theory, live demonstrations, and applied labs to ensure skill development through experience.

Welcome to the official AI Prompt Engineering Training certification program in Vancouver, Canada. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 14 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

No programming experience required, but familiarity with tools like ChatGPT or Google Bard is helpful
Basic digital literacy and comfort using web-based applications
Optional: Background in business, content creation, education, or development may help relate to domain-specific examples

At the completion of this training, learners will be able to:

Design prompts that deliver consistent, accurate, and context-aware AI responses
Build prompt workflows that simulate thinking, automate tasks, or generate content at scale
Evaluate and iterate on prompt performance using a structured, test-driven approach
Integrate AI tools into their domain of work (e.g., writing, design, programming, customer service)
Stay current with evolving AI prompting trends, including voice-based and multimodal systems

By the end of the course, participants will be able to:

Understand how large language models (LLMs) and multimodal AI systems process and respond to prompts
Craft effective prompt structures tailored for different platforms and goals
Control AI outputs using parameters (e.g., temperature, max tokens, system messages)
Create advanced prompts using tone, personas, constraints, and role-based dialogue
Design multi-step prompt workflows (prompt chaining) for automation and reuse
Debug, test, and refine prompts using structured evaluation methods
Apply prompting to real-world tasks in business, education, creative, and technical domains

By the end of the course, participants will be asessed on:

Prompt Structures and Parameters
Advanced Prompting Techniques
Workflows, Testing & Real-World Applications
Testing, Evaluating, and Refining Prompts
Real-World Applications of Prompt Engineering

ProgNXT Certificate of Completion will be awarded to participants who complete the course and pass the evaluations.

Foundations & Core Prompting Techniques

🔹 Module 1: Introduction to Prompt Engineering

What is Prompt Engineering?
Role of prompts in AI systems (Text, Code, Image models)
How different AI models interpret instructions (LLMs, code models, diffusion models)
Overview of major tools:

Text: ChatGPT, Claude, Gemini, Perplexity
Code: GitHub Copilot, Amazon CodeWhisperer, Codeium
Visual: DALL·E, Midjourney, Runway ML

🔹 Module 2: Prompt Structures and Parameters

Basic prompt structure: instruction + context + output format
Prompt formats: one-shot, few-shot, and zero-shot
Parameters and how they affect output:

Temperature, max tokens, top-p

Prompt formatting differences across tools and platforms
System vs. user messages and their effect on output

🔹 Module 3: Advanced Prompting Techniques

Instruction-following vs. open-ended prompts
Multi-turn prompts: simulating dialogue with assistant/user roles
Using tone, voice, and embedded objectives
Designing prompts with personas and professional styles (e.g., formal, humorous, expert tone)
Embedding constraints or guidelines into prompts

Workflows, Testing & Real-World Applications

🔹 Module 4: Prompt Workflows and Skill Chains

Introduction to prompt chaining and multi-step prompting
Step-by-step simulation (Chain-of-Thought prompting)
Modular prompt design for reusability
Designing skill chains to replicate domain-specific processes

🔹 Module 5: Testing, Evaluating, and Refining Prompts

Prompt testing methods across tools and use cases
Techniques for prompt debugging and improvement
Common design pitfalls and how to correct them
Predicting and controlling AI outputs
Using comparison frameworks and evaluation metrics

🔹 Module 6: Real-World Applications of Prompt Engineering

Business: Customer support automation, report drafting, sales messaging
Creative: Storytelling, image generation, branding and marketing content
Education: Tutoring assistants, quiz creation, content explanation
Data/Analytics: Opinion mining, structured data output, sentiment analysis

🔹 Module 7: Wrap-Up and Future Outlook

Recap of prompt engineering strategies and frameworks
Tools, APIs, and libraries for deeper integration
Emerging trends: prompt agents, real-time multimodal interaction, voice interfaces
Final reflections, resource sharing, Q&A

Hands-On Exercises

Case Study, Polls and Quizzes

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants will be evaluated based on:
Daily quizzes, mock questions and query resolution. Participation in hands-on exercises and labs. Performance in the final review and hands-on exercises will be evaluated.
ProgNXT Certificate of Completion will be awarded to participants who complete the course and pass the evaluations.

AI Prompt Engineering Training Events in vancouver

Online Events

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More Upcoming Session Dates

October 2026

🌐 Online Instructor-Led

26th Oct 2026→27th Oct 2026

📍 Vancouver, Canada

28th Oct 2026→29th Oct 2026

November 2026

🌐 Online Instructor-Led

1st Nov 2026→2nd Nov 2026

📍 Vancouver, Canada

5th Nov 2026→6th Nov 2026

🌐 Online Instructor-Led

20th Nov 2026→21st Nov 2026

📍 Vancouver, Canada

22nd Nov 2026→23rd Nov 2026

December 2026

📍 Vancouver, Canada

2nd Dec 2026→3rd Dec 2026

🌐 Online Instructor-Led

6th Dec 2026→7th Dec 2026

🌐 Online Instructor-Led

21st Dec 2026→22nd Dec 2026

📍 Vancouver, Canada

23rd Dec 2026→24th Dec 2026

Events for other courses in Vancouver, Canada

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AI Prompt Engineering Training in Vancouver