Generative AI and Agentic AI Training in Ontario

Generative AI and Agentic AI Training in Ontario, Canada

This course provides a deep understanding of Generative AI and Agentic AI, exploring their foundations, design principles, architectures, and real-world applications.

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Generative AI and Agentic AI 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 and Agentic AI Training course with hands-on, instructor-led sessions. This course provides a deep understanding of Generative AI and Agentic AI, exploring their foundations, design principles, architectures, and...

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: HKK67
14 Hrs
Last Updated: April 2026

Course Rating5/5

This course provides a deep understanding of Generative AI and Agentic AI, exploring their foundations, design principles, architectures, and real-world applications. It combines theory with practical hands-on training to help participants develop, deploy, and govern AI systems that can generate new content and act autonomously to achieve goals in enterprise and domain-specific contexts.

Welcome to the official Generative AI and Agentic AI 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.

Basic understanding of Artificial Intelligence and Machine Learning concepts
Familiarity with Python programming
Knowledge of APIs and cloud platforms (preferred but not mandatory)
Interest in applied AI solutions across industries

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

Understand the fundamentals of Generative AI (LLMs, image/video generation, multi-modal models)
Explain the concept of Agentic AI and its difference from traditional AI systems
Design and build Generative AI applications integrated with Agentic workflows
Implement AI agents capable of reasoning, planning, and autonomous task execution
Apply Generative and Agentic AI to real-world use cases (healthcare, finance, enterprise, customer experience)
Evaluate risks, compliance, and ethical considerations in deploying these systems

Generative AI model integration (LLMs, diffusion models, multimodal AI)
Building autonomous AI agents (LangChain, AutoGen, ReAct frameworks)
Prompt engineering and chain-of-thought orchestration
AI system design and governance
Domain-specific applications of Generative and Agentic AI
AI deployment and monitoring on enterprise platforms

Conceptual understanding (Generative AI vs Agentic AI)
Prompt engineering and orchestration
Application of AI agents in domain-specific use cases
Ethical and compliance considerations

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

Foundations of Generative AI

Introduction to Generative AI
- Evolution, techniques, and key models (LLMs, GANs, Diffusion)
Generative AI Use Cases across industries
Hands-on: Prompt Engineering and Fine-Tuning LLMs
Introduction to Multi-Modal Generative Models (Text, Image, Speech, Video)
Ethics, Bias, and Responsible AI in Generative Systems

Fundamentals of Agentic AI

What is Agentic AI? – Moving from Generative to Agentic systems
Core Architectures: Reasoning, Planning, Memory, and Actions
Key Frameworks: LangChain, AutoGen, Haystack Agents
Designing AI Agents for Task Automation and Decision-Making

Integration of Generative and Agentic AI

Orchestrating Generative Models within Agentic Workflows
Advanced Prompt Orchestration and Chaining Techniques
Case Studies
Security, Compliance, and Risk in Agentic AI

Applied Project and Future Trends

AI Governance and Enterprise Integration Strategies
Future of Generative and Agentic AI – Multi-Agent Systems, Autonomous Enterprises, and Beyond

Hands-on Exercises

Summary and Conclusion

Lecture slides & reading materials (PDFs, research papers, industry reports)
Sample code and Jupyter notebooks for hands-on exercises

Quizzes
Hands-on lab assignments

ProgNXT Certificate of Completion will be awarded to participants who successfully complete the course and assessments.

Generative AI and Agentic AI Training Events in ontario

Online Events

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More Upcoming Session Dates

October 2026

📍 Ontario, Canada

11th Oct 2026→12th Oct 2026

🌐 Online Instructor-Led

21st Oct 2026→22nd Oct 2026

📍 Ontario, Canada

27th Oct 2026→28th Oct 2026

November 2026

🌐 Online Instructor-Led

1st Nov 2026→2nd Nov 2026

📍 Ontario, Canada

8th Nov 2026→9th Nov 2026

🌐 Online Instructor-Led

22nd Nov 2026→23rd Nov 2026

📍 Ontario, Canada

28th Nov 2026→29th Nov 2026

December 2026

📍 Ontario, Canada

5th Dec 2026→6th Dec 2026

🌐 Online Instructor-Led

10th Dec 2026→11th Dec 2026

📍 Ontario, Canada

22nd Dec 2026→23rd Dec 2026

🌐 Online Instructor-Led

27th Dec 2026→28th Dec 2026

Events for other courses in Ontario, Canada

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Generative AI and Agentic AI Training in Ontario