Generative AI Advanced Training in Ontario

Generative AI Advanced Training in Ontario, Canada

This course provides in-depth theoretical foundations and hands-on implementation of generative models across text, image, and audio modalities.

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Generative AI Advanced Training is a professional training program delivered by ProgNXT in Ontario, Canada. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Generative AI Advanced Training course with hands-on, instructor-led sessions. This advanced-level course on Generative AI is designed for professionals seeking to deepen their knowledge of state-of-the-art generative models...

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: JGB71
14 Hrs
Last Updated: April 2026

Course Rating5/5

This advanced-level course on Generative AI is designed for professionals seeking to deepen their knowledge of state-of-the-art generative models such as GPT, DALL·E, Stable Diffusion, and others. The course provides in-depth theoretical foundations and hands-on implementation of generative models across text, image, and audio modalities. It covers model fine-tuning, prompt engineering, responsible AI practices, integration into applications, and real-world use cases across industries.

Welcome to the official Generative AI Advanced Training certification program in Ontario, 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.

Solid understanding of machine learning and deep learning fundamentals
Proficiency in Python programming
Familiarity with neural networks (CNNs, RNNs, Transformers)
Basic experience with AI/ML frameworks (TensorFlow, PyTorch, or HuggingFace)
Completion of a foundational Generative AI course (recommended)

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

Comprehend advanced architectures behind models like GPT-4, DALL·E, Midjourney, Stable Diffusion
Apply prompt engineering techniques for optimal outputs
Fine-tune pre-trained generative models for custom datasets
Build applications using text, image, and audio generation models
Address ethical and responsible AI deployment challenges
Evaluate model performance, limitations, and interpretability

Advanced Prompt Engineering
Fine-tuning Generative Models (GPT, Diffusion Models)
AI Application Development with APIs (OpenAI, Cohere, Stability AI)
Advanced NLP and Computer Vision Integration
Responsible AI and Ethical Deployment
Multimodal Generation (text-to-image, image-to-text, audio synthesis)

Architecture of Transformer-Based Models
Prompt Engineering Mastery
Model Fine-Tuning Processes and Best Practices
Application Development Using Generative APIs
Ethical and Responsible AI Considerations

Participants who attend all sessions and successfully complete the assessments will receive a ProgNXT Certificate of Completion.

Course Agenda:

Deep Dive into Generative AI Models

Recap: Generative AI Fundamentals
Transformers and Attention Mechanism – Refresher
Architecture Review: GPT, BERT, T5, DALL·E, Stable Diffusion
Prompt Engineering Techniques

Fine-Tuning & Model Customization

Fine-Tuning GPT Models with OpenAI & Hugging Face
Fine-Tuning Diffusion Models for Custom Image Gen
Dataset Preparation and Annotation
Low-Rank Adaptation (LoRA) & Transfer Learning

Applications, Deployment & Responsible AI

Generative AI in Real-World Applications (Coding, Content, Customer Service, Marketing)
Using APIs: OpenAI, Cohere, Stability AI, Google Vertex AI
Integrating with Web, Chatbots, Mobile
Hallucinations, Biases, and Ethical Guardrails

Hands-on Exercises

Digital Participant Handbook
Jupyter Notebooks and Code Samples
API Keys for Labs (OpenAI, Stability AI, etc.)
Reference Papers and Articles
Access to Generative AI Sandbox Environment

Lab Work and Participation
Concept Quizzes and Review Exercises

ProgNXT Certification will be provided upon successful completion of all assessments and active participation.

Generative AI Advanced Training Events in ontario

Online Events

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More Upcoming Session Dates

October 2026

📍 Ontario, Canada

21st Oct 2026→22nd Oct 2026

🌐 Online Instructor-Led

27th Oct 2026→28th Oct 2026

November 2026

📍 Ontario, Canada

2nd Nov 2026→3rd Nov 2026

🌐 Online Instructor-Led

3rd Nov 2026→4th Nov 2026

📍 Ontario, Canada

22nd Nov 2026→23rd Nov 2026

🌐 Online Instructor-Led

28th Nov 2026→29th Nov 2026

December 2026

📍 Ontario, Canada

11th Dec 2026→12th Dec 2026

🌐 Online Instructor-Led

12th Dec 2026→13th Dec 2026

🌐 Online Instructor-Led

18th Dec 2026→19th Dec 2026

📍 Ontario, Canada

23rd Dec 2026→24th Dec 2026

Events for other courses in Ontario, Canada

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Generative AI Advanced Training in Ontario