AI Skills for Workplace
- Save hours weekly by automating repetitive tasks
- Build real AI projects you can showcase
- Earn a certified Canadian completion certificate
Beginner-friendly — no coding background needed
Trigger
A customer, email, form or new file starts the workflow
AI Decision
Classify, summarize, extract data or auto-route
API + n8n
Connect email, sheets, CRM and messaging flows
Human Approval
Human review when needed before send or execute
10
sections
36h
hands-on training
10
live sessions
20
seats
Don't learn scattered tools. Build an automation system that actually works.
The page is built around one promise: that you leave the program able to identify repetitive tasks, design a clear workflow, and connect it to AI safely and practically for the workplace.
Save your time
Turn email summaries, data cleanup, customer follow-ups and reports into smart workflows.
Raise your professional value
Use AI as a practical skill in your job or business, not a random set of tools.
Build a real portfolio
Every learner builds a showcase-ready project with recordings and support during the program.
Understand system logic
Learn to think like an automation builder: process mapping, APIs, webhooks and error handling.
Designed for beginners, practical enough for the workplace.
Entrepreneurs
For those who want systems that save team time, follow up customers and organize operations without heavy tech.
Employees & managers
For those who want to raise efficiency, cut repetitive work and deliver more value inside the company.
Freelancers & builders
For those who want a clear start to build automation solutions they can later offer as a service.
We don't teach AI as an idea. We build real products and systems with it.
The program is built on applied experience building AI automation and voice AI solutions, and training teams and companies to turn technology into measurable operational results across the Autophone ecosystem.
Execution experience, not theory
You learn from a system-builder perspective: how to start, connect tools, reduce errors, and make the solution usable in a real workplace.
A curriculum built for Egypt & the region
Examples, language and applications are designed for the practical reality in Egypt and the Gulf: small teams, limited time, and a clear need to raise productivity.
Outcome-focused
Every session leads to a practical build. The goal is not attending lectures, but building workflows and a graduation project you can show.
From fundamentals to a live international graduation showcase
Each section builds on the last: from AI science, to process mapping, to prompt engineering, to executing automation on four platforms, then commercialization and the final pitch.
- Course Welcome & Mapping the Canadian Certification Pathway
- What is AI and How It Started: From Rules to Patterns
- What is AI in 2026 and Why This Wave is Different
- How Large Language Models Work: A Non-Technical Breakdown
- Parsing the Context Window: How Models Hold Active Information
- Navigating the Landscape: Leading Models and Autonomous Agents
- The Limits of Realism: Hallucinations and How to Spot Them
- Operational Tokenomics: Input, Output Tokens and Rate Limits
- The Economics of AI Infrastructure: Pricing, Credits and Billing
- Automated Knowledge Gathering via Deep Research Engines
- Practical: Building Your First Industry Disruption Map
- FAQ: Data Safety and Model Selection
- Operational Excellence: Translating Human Action into AI Logic
- Documenting Your Workday: Tasks, Emails and Spreadsheets
- Identifying the Operator’s Bottleneck: Hours Wasted
- Visualizing Logic Flow: Clean Step-by-Step Process Charts
- Safe Parameters: Human Verification Gates to Reduce Risk
- The 4 Pillars of AI Optimization: Revenue, Cost, Risk, UX
- The AI Business Checklist: Scoring Processes Before Automating
- Milestone: Filling Out Your Workday Automation Audit Sheet
- Practical: Turning a Real Bottleneck into a Process Tree
- FAQ: Variable Workday Paths and Process Exceptions
- Moving Beyond the Chatbox: Structural System Prompting
- The 6-Part Prompt Architecture: Role, Context, Task, Format, Constraints, Examples
- Action-Oriented Directives: Reliable Corporate Partners
- Advanced Output Control: Error-Resistant Tables and Markdown
- Context Engineering: Structuring External Background Data
- Injecting Corporate DNA: Brand Voice and Client Profiles
- Document Clutter: Delimiters and Enclosure Tags
- Harness Engineering: Infrastructure Around Your Model Calls
- Chain-of-Thought Harnessing: Multi-Step Reasoning Blocks
- Building a Team Prompt Vault for Recurring Tasks
- Practical: Multi-Step Error-Proof Prompt Harness
- FAQ: Fixing Dropped Constraints and Ignored Rules
- Core Definitions: MCPs, Connectors, Skills and Artifacts
- The Big Three Workspaces: Feature-First Comparison
- Building Custom GPTs: System Instructions and Knowledge Files
- Advanced Actions: Connecting Assistants to External Tools
- Mastering Artifacts: Live Dashboards and Visual Layouts
- Connectors & Skills: Linking Active Data via MCP
- Extension Ecosystem: Workspace Integration and Custom Gems
- NotebookLM: Private Knowledge Database from Source Material
- Synthesizing Knowledge: Guides, FAQs and Audio Briefings
- Autonomous Task Execution and Wide Research Paradigm
- Conversational Vibe Coding: From Prompt to Full-Stack App
- Practical: Workspace Creator Studio Side-by-Side
- FAQ: Broken Connectors, OAuth and Agent Loops
- The Automation Mindset: Core Logic over Software
- The Event Fabric: Triggers, Filters, Actions and Variables
- Demystifying Data Mapping Between Applications
- The Operator’s Decision Tree: Assistants vs. Browser Agents vs. Cloud Loops
- Cross-Platform Blueprinting: Inbound to Final Spreadsheets
- Multi-Path Branching: Conditional Logic and Loop Arrays
- Human-in-the-Loop Gates: Secure Pause-and-Approve Triggers
- The Autonomy Scale: Chatbots vs. Agents vs. Multi-Agent Systems
- Browser Agents & Computer-Use Tools: Web and Desktop Control
- Trust Levels and Guardrails: Schedules and Execution Limits
- Future Horizons: Advanced Automation Engineering Sneak Peek
- Practical: The Audit Collection Clinic
- FAQ: System Errors, Silent Loop Breaks and Missing Payloads
- Interface Breakdown: Zapier, Make.com and n8n Side-by-Side
- Setting Up Inbound Webhooks for Real-Time Events
- Mapping Dynamic Variables and JSON Fields Across Nodes
- If/Else Routers: Conditional Logic Branches
- Human-in-the-Loop Gates: Visual Pause-and-Approve
- The 7-Layer Automation Stack: Ingestion to Multi-Agent
- From Workflows to Autonomous Systems: OpenClaw Framework
- Connecting Chat: WhatsApp, Telegram and Slack
- Practical 6.1: Building the Blueprint in Zapier
- Practical 6.2: Re-building the Blueprint in Make.com
- Practical 6.3: Re-building the Blueprint in n8n
- Practical 6.4: Deploying the Blueprint as a Chat Agent in OpenClaw
- FAQ: Broken Auth, Missing Variables and Cloud Node Costs
- Visual Vibe Coding: Conversation into Full-Stack Web Apps
- Tour of the Editor, Previewer and Version Controls
- Step-by-Step Dashboard Design for Business Metrics
- Working with Data: Interactive Tables and Form Slots
- Validating MVPs: Sleek Landing Pages and Web Layouts
- Connecting Components to Make.com and n8n Webhooks
- One-Click Publishing to a Shareable Link
- Practical 7.1: Launching Your Personal MVP Landing Page
- Practical 7.2: Live Internal Dashboard Triggering Automations
- FAQ: Broken Buttons, Themes and Sync Errors
- Designing Your AI Content System for Your Brand Voice
- Advanced Image Generation for On-Brand Graphics
- Video and Avatar Systems Without Headcount
- Automated Copywriting for Multi-Channel Layouts
- Quality Control Guardrails Across AI Outputs
- Practical: Media Studio Assembly on Autopilot
- FAQ: Visual Glitches, Fonts and Export Formats
- Productizing Your Knowledge into High-Value B2B Offers
- Case Study Clinic: Real AI Startups and Business Operators
- The Automated Prospecting Machine: Scrape, Clean, Verify Leads
- Analytical Lead Qualification: Scoring Enterprise Prospects
- The Commercial Proposal: Scopes, Milestones and Retainers
- Overcoming Corporate Friction: Legal, Budget and Sign-Off
- Future Horizons: Autophone Autogrid Ecosystem Sneak Peek
- Autogrid: Global Skill Databases and Self-Learning Layers
- Practical: The Commercial Pitch Simulation
- FAQ: Retainer Pricing, Onboarding Agreements and Scaling
- Capstone Roadmap: Blueprinting Your Real-World Challenge
- Comprehensive Integration Checklist Across All Platforms
- Visual Pitch Mechanics: High-Impact Technical Demonstration
- Presentation Engineering: Explaining Technical ROI to Executives
- Live International Executive Showcase Before an Evaluation Panel
Top 3 projects receive Autophone Venture Support
Not just a cash prize. Support is a blend of potential funding, private mentorship, consulting hours and hands-on help from Autophone to grow the project or turn it into an executable model.
Peer voting
Every participant votes for the strongest projects and pitches.
Autophone evaluation panel
The panel reviews execution, applicability, problem clarity and pitch strength.
Post-graduation support
Mentorship and consulting hours help you grow the project after graduation.
Watch video reviews from our trainees
Recorded reviews from actual trainees. Click any card to play the video.
Certificate of Completion from Autophone Academy — Canada
The learner receives a completion certificate after meeting attendance and project requirements and paying the full program value. It is a professional completion certificate and does not represent a formal academic accreditation unless legally documented otherwise.
Intentional wording to clarify the certificate source and that it is a completion certificate, not an academic degree.
Enroll now — 20 seats only in this cohort
Start with a first payment over WhatsApp, and pay the rest later only when you benefit from the program and want to receive the certificate.
What the program includes
- 10 practical sections with applied lessons
- WhatsApp group for follow-up
- Email support during the program
- Weekly office hours
- Session recordings
- A showcase-ready graduation project
Beginner-friendly
You don't need to be a developer. We start from fundamentals and build up to practical workflows.
A fair payment model
Pay the remainder only if you benefit and want the certificate. No full upfront commitment.
Limited cohort
A maximum of 20 learners to keep mentoring, discussion and project review quality high.
AI Skills for Workplace
Start with a first payment over WhatsApp, and pay the rest later only when you benefit from the program and want to receive the certificate.
First payment to start
17,500 EGP
Remaining later (when you want the certificate)
17,500 EGP
Before you enroll
Yes. The program is beginner-friendly, yet we build practical projects progressively so you understand automation logic and connecting tools.
No. The focus is on automation that makes us more productive and saves time and cost, with plenty of ready-made templates provided.
You pay a first installment to start, and the remainder later only when you benefit and want the certificate. Enrollment happens over WhatsApp.
Completing the program requirements, participating in the project and paying the full value. The certificate is a Completion Certificate from Autophone Academy — Canada.
Yes, session recordings are provided so you can review them during the program.
Start here, and leave with a project you can show and use.
Seats are limited to keep mentoring quality high inside the cohort.