Multi-Modal AI Agents Training in Ontario

Multi-Modal AI Agents Training in Ontario, Canada

This course introduces participants to the design, development, and deployment of multi-modal AI agents that can interact and reason across text, images, and speech.

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Multi-Modal AI Agents Training is a professional training program delivered by ProgNXT in Ontario, Canada. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Multi-Modal AI Agents Training course with hands-on, instructor-led sessions. This course introduces participants to the design, development, and deployment of multi-modal AI agents that can interact and reason across text,...

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: PPN97
21 Hrs
Last Updated: April 2026

Course Rating5/5

This course introduces participants to the design, development, and deployment of multi-modal AI agents that can interact and reason across text, images, and speech. It covers foundational concepts, tools, and frameworks for building real-world intelligent systems capable of natural communication, understanding, and decision-making across multiple data modalities.

Welcome to the official Multi-Modal AI Agents 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 21 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Basic knowledge of Python programming
Familiarity with Machine Learning and Deep Learning fundamentals
Understanding of Natural Language Processing (NLP) basics
Exposure to frameworks like TensorFlow or PyTorch (recommended but not mandatory)
Prior experience with AI/ChatGPT helpful but not required

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

Understand the principles of multi-modal learning and integration.
Build AI agents that process and combine text, images, and speech data.
Use popular frameworks and APIs (OpenAI, Hugging Face, LangChain, etc.) for multi-modal AI development.
Develop business and domain-specific applications of multi-modal AI agents.
Deploy AI agents for automation, customer experience, and advanced decision-making.

Multi-modal AI development (text, vision, speech integration)
Agent architecture design and orchestration
Prompt engineering for multi-modal contexts
Model fine-tuning for custom tasks
AI tool integration (LangChain, RAG, vector databases, OpenAI GPT-4V, Speech APIs, etc.)
Real-world deployment of intelligent systems

Conceptual understanding of multi-modal AI architectures
Designing prompts across modalities
Implementing speech + text + image pipelines

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

Foundations of Multi-Modal AI

Introduction to AI Agents and Multi-Modality
Differences between single-modal vs. multi-modal AI
Architectures for multi-modal learning (transformers, encoders, embeddings)
Tools & frameworks: OpenAI GPT-4V, Hugging Face Transformers, LangChain

Text & Language Understanding in Multi-Modal Agents

Advanced NLP for multi-modal agents
Integrating structured and unstructured text data
Prompt engineering strategies across modalities

Image & Visual Data in AI Agents

Vision transformers (ViT), CLIP, and image captioning models
Object detection, classification, and embeddings for agents
Image-to-text and text-to-image (DALL·E, Stable Diffusion integration)

Speech & Audio in AI Agents

Automatic Speech Recognition (ASR) with Whisper / Speech-to-Text APIs
Text-to-Speech (TTS) synthesis for conversational agents
Integrating speech with text and image inputs

Real-World Multi-Modal AI Agents

Orchestrating text, image, and speech modalities in agents
Workflow automation and decision-making with multi-modal inputs

Hands-on Exercises

Summary and Conclusion

Lectre slides and reading resources
Sample datasets (text, image, and audio)
Python notebooks with code examples

Quizzes
Hands-on labs & coding exercises

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

Multi-Modal AI Agents Training Events in ontario

Online Events

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More Upcoming Session Dates

October 2026

🌐 Online Instructor-Led

24th Oct 2026→26th Oct 2026

📍 Ontario, Canada

25th Oct 2026→27th Oct 2026

November 2026

📍 Ontario, Canada

2nd Nov 2026→4th Nov 2026

🌐 Online Instructor-Led

3rd Nov 2026→5th Nov 2026

🌐 Online Instructor-Led

18th Nov 2026→20th Nov 2026

📍 Ontario, Canada

26th Nov 2026→28th Nov 2026

December 2026

📍 Ontario, Canada

11th Dec 2026→13th Dec 2026

🌐 Online Instructor-Led

12th Dec 2026→14th Dec 2026

🌐 Online Instructor-Led

19th Dec 2026→21st Dec 2026

📍 Ontario, Canada

27th Dec 2026→29th Dec 2026

Events for other courses in Ontario, Canada

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Multi-Modal AI Agents Training in Ontario