Stop doing manually what AI can do for you. This course teaches you how to use artificial intelligence and automation tools to get more done in less time
This course bridges the gap between understanding AI and actually building with it. You will move from basic terminology to designing and deploying complex automation workflows using tools like n8n, Zapier, and Make.
This course features hands-on use cases across Sales, HR, Marketing, Finance, Customer Service, and Operations to help you solve real business problems and improve efficiency.
Live Broadcast Times
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Lecture Schedule:
25 LecturesAvailable Seats (33)
Learning Outcomes
Understand how AI works including machine learning deep learning and large language models like GPT and Claude
Build real automation workflows using n8n Zapier and Make with triggers conditions and integrations
Understand the difference between a basic chatbot and a true AI agent and know when to use each
Connect AI models to business tools and APIs to create end to end intelligent workflows
Use Vibe Coding to build working apps and tools by simply describing what you want no code needed
Apply AI automation to real business functions Sales HR Marketing Finance and Operations
Understand responsible AI ethics data privacy GDPR and how to govern AI use in your organization
Compare and use the most powerful AI tools available today for writing research data analysis and visual content
Write effective prompts using professional techniques like RCTF framework chain of thought and few shot prompting
Design and present a complete AI automation solution for a real problem in your own field
Who should Enroll
Business professionals aiming to improve efficiency with AI
Entrepreneurs and startup founders seeking AI-powered automation
Non-technical professionals interested in AI agents and workflow automation
Sales, HR, Marketing, Finance, and Operations professionals
Course Requirements
No programming or technical background required
Basic computer skills
Instructor
Mohamed Hosny
I am an AI and Automation Manager with over 13 years of experience in the technology industry, currently leading the Intelligent Automation domain at VOIS. In my current role, I define the architectural vision and strategy for global automation roadmaps, bridging the gap between emerging technologies like Gen AI, Machine Learning, and NLP and large-scale business value. My leadership is informed by a deep technical foundation, having progressed from a Teaching Assistant at Helwan University—where I taught core subjects such as Data Structures and Algorithms—to serving as a Technical Lead for complex backend systems and telecommunications integrations. By combining this academic first-principles approach with extensive experience in scaling technical teams and driving architecture strategy, I focus on delivering excellence in high-impact, transformative digital solutions.