Getting Started with LLMs – 1 Day Workshop in Ottawa
Overview
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 introductory and practical program provides a clear understanding of how Large Language Models (LLMs) such as ChatGPT and open-source transformer models work. Participants will explore model structure, prompting techniques, model fine-tuning, and integration workflows. Through guided exercises and real project demos, attendees will develop confidence in building and applying LLM-powered solutions across business functions and industry use cases.
Learning Objectives
By the end of this course, you will be able to:
- Explain how LLMs and transformer models work
- Design clear and optimized prompts
- Customize or adapt models for specific tasks
- Integrate LLM capabilities into real applications
- Identify and evaluate business use cases
- Apply responsible governance and data standards
Target Audience
- Developers & Software Engineers
- Data Scientists & Technical Professionals
- Product & Innovation Teams
- Business Analysts & Consultants
- Anyone exploring applied AI workflows
Why Choose This Course?
Most professionals and organizations are exploring LLMs but lack the clarity and structure to use them effectively and responsibly. This course breaks down complex AI concepts into simple, practical steps you can immediately apply at work. You gain not just knowledge — but confidence to build and deploy real solutions.
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Want to build a stronger AI culture across your organization?
In-house programs are available to align with your team’s workflows, tools, security needs, and real operational use cases. Custom case studies and guided implementation can be built directly around your organization’s data and processes.
📧 Contact us today to schedule a customized in-house, face-to-face session: info@catils.com
Good to know
Highlights
- 8 hours
- ages 18+
- In person
- Paid parking
Refund Policy
Location
Regus ON, Ottawa - Albert & Metcalfe
116 Albert Street Suite 200 & 300
Ph No +1 469 666 9332 Ottawa, ON K1P 5G3 Canada
How do you want to get there?
Module 1: Understanding LLMs
• Key components of transformer architecture • How LLMs learn and generate language • Strengths and limitations of LLMs Icebreaker Activity
Module 2: Working with Pre-Trained Models
• Accessing commercial & open-source models • Prompt design & iterative prompting • Troubleshooting inaccurate outputs Activity
Module 3: Customization & Fine-Tuning Options
• When to prompt vs. when to fine-tune • LoRA, RAG, embeddings & vector stores • Preparing datasets for custom behavior Hands-On Demonstration
Frequently asked questions
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