Flagship Foundation Diploma

AI Automation Practitioner Diploma

An 11-week beginner-friendly diploma for learners who want practical AI and automation capability without writing code. Build reliable workflows, connect tools with APIs/webhooks, and leave with a usable productivity portfolio.

11 Weeks Program Length
No Coding Required Entry Level
Live Online Google Meet
Workflow Portfolio Graduation Output
Reserve Your Seat Review Curriculum Pay Now If Already Decided

Build Practical AI Workflows

Create repeatable automations for research, content, operations, and communication tasks.

Use AI Responsibly

Learn safe usage patterns, data handling boundaries, and risk-aware deployment habits.

Foundational Before Advanced

This path is designed for beginners who need capability before moving to technical engineering diplomas.

Tooling Environment

Students train with practical tools that transfer directly to daily work and business workflows:

ChatGPT and Claude

Prompting, drafting, research, and analysis

Zapier, Make, n8n

No-code workflow design and automation

APIs and Webhooks

Integrating tools across operational tasks

Notion AI and Airtable

Information systems and workflow tracking

Who This Diploma Is For

Use this section to choose the right path before applying.

Best Fit

  • Complete beginners who want practical AI capability without programming prerequisites.
  • Professionals, founders, and operators who need immediate workflow productivity improvements.
  • Learners who want a structured foundation before deeper technical specialization tracks.

Not the Best Fit

  • Developers already comfortable with Python/ML who want model-building depth immediately.
  • Learners looking only for advanced NLP or computer vision engineering content.
  • Applicants who are not ready for weekly live practical sessions and implementation work.

If You Already Have Technical Foundations

If your Python and ML readiness is strong, you may be better served by a shorter advanced engineering track.

  • This diploma: AI usage and automation foundations with no-code integration mindset.
  • Advanced tracks: deeper model engineering paths (NLP/RAG/Agents or CV systems).

Foundation Diploma vs Advanced Engineering Tracks

Clear product architecture to reduce confusion and support the right self-selection.

Foundation Diploma

AI Automation Practitioner Diploma

  • 11 weeks for practical AI usage and automation outcomes.
  • No coding prerequisite required.
  • Best for beginners and non-technical professionals.
Advanced Tracks

NLP/CV Engineering Diplomas

  • Longer technical pathways focused on model and system engineering depth.
  • Require stronger technical readiness and coding comfort.
  • Best for already-prepared learners seeking advanced specialization.

Roadmap: Overview to Weekly Detail

Presented in three layers for clarity: program overview, phase summaries, then grouped weekly structure.

Program Overview

An 11-week pathway that builds real AI usage habits and automation execution discipline.

  • No coding requirement for entry.
  • Live online practical delivery.
  • Final output: personal AI workflow portfolio.

Why This Program Exists

Many learners need applied AI and automation outcomes before entering technical engineering tracks.

  • Start with practical tools and decision frameworks.
  • Build integration confidence through real workflow use cases.
  • Develop safe, responsible AI usage habits early.

What You Become Able to Do

Design, run, and improve workflows that save time and reduce repetitive manual work.

  • Select tools based on use-case and reliability.
  • Connect systems through APIs and webhooks.
  • Present automation outcomes in portfolio-ready form.
Phase 1 | Weeks 1-6

Universal Foundation

AI fundamentals, tool selection, prompting quality, and automation initiation.

Output: first working automations with clear safety boundaries.

Phase 2 | Weeks 7-11

General Practitioner Track

Career mapping, practical implementation, and workflow portfolio consolidation.

Output: portfolio of deployable automation use cases.

Grouped Weekly Structure

Detailed But Digestible

Weeks 1-3 | AI Fundamentals and Prompt Reliability

Build correct mental models, compare tool ecosystems, and improve output reliability.

  • What AI is and how to evaluate use cases without hype.
  • Tool comparison across ChatGPT, Claude, and research assistants.
  • Prompting frameworks for repeatable, practical outputs.

Weeks 4-6 | Automation and Integration Core

Move from prompts to real workflows using integrations and low-code/no-code automation.

  • Identify automation opportunities in daily and business workflows.
  • Connect systems with APIs and webhooks.
  • Build and debug a complete end-to-end automation flow.

Weeks 7-9 | Practitioner Implementation Track

Apply AI automation to personal productivity, client workflows, and structured operations.

  • Career and value mapping for practical AI usage.
  • Execution builds for communications, content, and research support.
  • Entrepreneur/freelancer-focused automation scenarios.

Weeks 10-11 | Portfolio Consolidation and Capstone

Consolidate workflow outputs into a coherent portfolio and present defensible implementation choices.

  • Finalize 2-3 working automation workflows.
  • Document decisions, expected value, and operational caveats.
  • Capstone presentation of AI workflow portfolio.

Need Help Choosing This Path?

You can speak with admissions to confirm whether this foundation diploma or a technical specialization track better matches your readiness.

Speak to Admissions Review Curriculum Pay Now If Ready

Admissions guidance supports pathway alignment and readiness decisions. It is not a hiring guarantee.

Portfolio and Graduation Deliverables

Graduation focuses on practical outputs you can immediately use or present with confidence.

Workflow Artifacts

  • Documented automation workflows tied to real tasks.
  • Tool integration maps showing trigger-action chains.
  • Clear implementation notes and maintenance boundaries.

Operational Evidence

  • Before/after process clarity for selected workflows.
  • Failure and exception handling notes.
  • Safety and responsible usage checklist per workflow.

Capstone Package

  • Portfolio-ready presentation of your automation systems.
  • Use-case summary with expected value and limitations.
  • Final walkthrough and implementation defense.

Graduate transformation: from AI tool user to structured automation practitioner with reliable workflow delivery habits.

11-Week Foundation Diploma Practical pathway for beginner and non-technical learners
Live Weekly Delivery Evening schedule with guided practical application
Workflow Portfolio Credential Capstone presentation required at graduation
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