Every Sunday, July 12 - August 9 | 6:30 PM - 8:00 PM | 76 Larkin Dr, Nepean, ON | 150 CAD
Build AI-Powered Business Agents with Codex, including live running agent demonstrations.
Large Language Models and AI Agents are rapidly transforming how businesses operate, how software is built, and how people interact with technology. This 5 weeks courses connects the core ideas into one clear mental model of how today's AI systems actually work.
What is an LLM, how responses are generated, and why LLMs differ from traditional software.
Tokenization, context windows, and why AI systems sometimes forget information.
User prompts, system prompts, instruction design, and practical prompt techniques.
How AI accesses data, APIs, and business systems through external tools.
Model Context Protocol and secure connections between AI and enterprise systems.
Agent planning, reasoning, skills, capabilities, and multi-agent collaboration concepts.
Coding agents, tool workflows, MCP-enabled business agents, and automation.
Connecting LLM, prompt, context, tools, MCP, skills, agents, and enterprise apps.
Registration is open for the OCLS AI Learning Summer Course.
The registration form collects student information and fee information. After submission, a confirmation email will be sent to the submitted email address.
This session is designed for software developers, IT professionals, business leaders and managers, entrepreneurs and startup founders, students interested in AI, and anyone curious about how ChatGPT and AI Agents work. No prior AI experience is required.
Fenqiang Zhuang is the Founder and CEO of FeyaSoft Inc., a Canadian software company specializing in CRM solutions, low-code platforms, workflow automation, and AI-powered enterprise applications.
With extensive experience in enterprise software, AI integration, and business automation, he has led the development of AI-enabled business platforms that connect large language models with real-world enterprise systems.