LLM Basics Training in Canada

  • Learn via: Online Instructor-Led / Classroom Based / Onsite
  • Duration: 2 Days
  • Price: From CAD 2,758
  • Upcoming Date:
  • UK & Canada Based Global Training Provider
Exclusive - Hands-On introduction to Large Language Models and how to use them

This course provides a comprehensive introduction to Large Language Models (LLMs), focusing on what they are, how to build them using PyTorch, and how to use them for inference in language tasks. Participants will learn about the history of LLMs, how LLMs fit into the larger AI/Generative AI landscape, neural-network-based language models, and how to use RNNs, LSTMs, and transformers for natural language processing tasks.



Who Should Attend?

  • AI/ML Enthusiasts interested in learning about NLP (Natural Language Processing) and Large Language Models (LLMs).
  • Data Scientists/Engineers interesting in using LLMs for inference and finetuning
  • Software Developers wanting basic practical experience with NLP frameworks and LLMs
  • Students and Professionals curious about the basics of transformers and how they power AI models
We can organize this training at your preferred date and location. Contact Us!

Prerequisites

  • Proficiency in Python programming
  • Familiarity with data analysis using Pandas

What You Will Learn

Working with an engaging, hands-on learning environment, and guided by an expert instructor, students will learn the basics of Large Language Models (LLMs) and how to use them for inference to build AI powered applications.

  • Understand the basics of Natural Language Processing
  • Implement text preprocessing and tokenization techniques using NLTK
  • Explain word embeddings and the evolution of language models
  • Use RNNs and LSTMs for handling sequential data
  • Describe what transformers are and use key models like BERT and GPT
  • Understand the risks and limitations of LLMs
  • Use pre-trained models from Hugging Face to implement NLP tasks
  • Understand the basics of Retrieval-Augmented Generation (RAG) systems

Training Outline

  1. Introduction to NLP
    • What is NLP?
    • NLP Basics: Text Preprocessing and Tokenization
    • NLP Basics: Word Embeddings
    • Introducing Traditional NLP Libraries
    • A brief history of modeling language
    • Introducing PyTorch and HuggingFace for Text Preprocessing
    • Neural Networks and Text Data
    • Building Language Models using RNNs and LSTMs
  2. Transformers and LLMs
    • Introduction to Transformers
    • Using Hugging Face’s Transformers for inference
    • LLMs and Generative AI
    • Current LLM Options
    • Fine tuning GPT
    • Aligning LLMs with Human Values
    • Retrieval-Augmented Generation (RAG) Systems

Why Choose Us

Experience LLM Basics in Canada through Bilginç IT Academy's live and interactive virtual classroom environment, accessible from your home, office, or any location. Connect with expert trainers in real time and bring the energy of classroom learning into the digital experience.

  • Live Instructor-Led Sessions: Join scheduled training sessions with your instructor and fellow delegates in real time.
  • Interactive Learning Experience: Take part in discussions, practical exercises, group activities, and Q&A sessions throughout the course.
  • 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 long-standing experience in delivering professional training since 1995.
  • Flexible and Scalable Delivery: Access live virtual classrooms from Canada and worldwide, with flexible planning options for individual and corporate training needs.

Experience LLM Basics in a focused classroom environment in Canada. Bilginç IT Academy's carefully selected training venues provide a professional setting where delegates can interact directly with expert trainers and peers.

  • Experienced Trainers: Learn from specialists with extensive field experience and real-world knowledge.
  • Professional Training Venues: Attend courses in comfortable, well-equipped classrooms designed to support effective learning.
  • Focused Classroom Experience: Benefit from limited class sizes that encourage discussion, interaction, and personalized support.
  • Quality-Driven Learning: Develop practical skills through structured, up-to-date, and professionally designed training content.

Meet your team's training needs with Bilginç IT Academy's onsite LLM Basics in Canada solution, delivered at your office or preferred location. Align your team's development with your business goals through a training experience tailored to your organization.

  • Tailored Course Content: Adapt the training program to your organization's projects, team structure, and specific business requirements.
  • Time and Cost Efficiency: Reduce travel, accommodation, and operational costs while maximizing the value of your training investment.
  • Team-Focused Learning: Help your employees develop around the same knowledge base and strengthen collaboration across your organization.
  • Simplified Planning and Tracking: Manage the training process, participant development, and organizational requirements with greater control.


Contact us for more detail about our trainings and for all other enquiries!

LLM Basics Training Course in Canada Schedule

Join our public courses in our Canada facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
05 July 2026 (2 Days)
Toronto, Vancouver, Montreal, Ottawa
CAD 2,758
01 August 2026 (2 Days)
Toronto, Vancouver, Montreal, Ottawa
CAD 2,758
04 August 2026 (2 Days)
Toronto, Vancouver, Montreal, Ottawa
CAD 2,758
18 August 2026 (2 Days)
Toronto, Vancouver, Montreal, Ottawa
CAD 2,758
01 September 2026 (2 Days)
Toronto, Vancouver, Montreal, Ottawa
CAD 2,758
12 September 2026 (2 Days)
Toronto, Vancouver, Montreal, Ottawa
CAD 2,758
14 September 2026 (2 Days)
Toronto, Vancouver, Montreal, Ottawa
CAD 2,758
24 September 2026 (2 Days)
Toronto, Vancouver, Montreal, Ottawa
CAD 2,758

Canada has emerged as a global powerhouse for Artificial Intelligence and deep tech, with Toronto, Vancouver, and Montreal leading the charge as international innovation hubs. The country’s commitment to tech-driven economic growth is supported by world-class institutions like the University of Toronto and Waterloo, attracting top talent from across the globe. From the gaming industry in Montreal to the cloud-computing boom in British Columbia, Canada offers a diverse and stable environment for professional development. Our training solutions in Canada focus on equipping the workforce with high-demand skills in DevOps, Data Science, and Enterprise Architecture. We help professionals stay ahead of the curve in a nation that consistently ranks at the top for digital readiness and technological investment.

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