bolt Elite Certification

Intelligent Office Productivity AI & Automation Essentials

A 12-week, hands-on programme that takes KP youth from professional documents to AI prompting, research, task management, and workflow automation. It ends with a capstone project and a portfolio ready for employers.

Duration 12 Weeks
Contact Hours 108 Hrs
Level Intermediate
Format Full time
AWKUM +1 person Abdullah Khan
Intelligent Office Productivity AI & Automation Essentials

Course Introduction

This course teaches practical AI-powered workplace skills. Trainees learn AI writing assistants, research tools, and presentation generators. They also learn meeting intelligence and automation with Power Automate, Google Apps Script, and Zapier. The curriculum is built around capabilities rather than specific products, so graduates can adapt as AI tools change. All scenarios use KP contexts, local names, and PKR currency. It prepares learners for five freelance pathways: AI Virtual Assistant AI Research Assistant AI Documentation Specialist AI Presentation Specialist AI Workflow Automation Assistant It also builds skills for office administration, project coordination, research support, and communications roles. The content split is 60% AI productivity, 25% automation, and 15% traditional office productivity. Delivery is about 80% hands-on and 20% theory

Learning Outcomes

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Use AI writing assistants (ChatGPT, Claude, Copilot) to draft, refine, and format professional documents to measurable quality standards

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Build prompt engineering skills from basic to advanced to solve real office and freelance problems

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Evaluate and verify AI content for accuracy, bias, hallucination, and ethical appropriateness

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Build multi-step automated workflows using Power Automate and Google Apps Script, with AI tools as action nodes

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Conduct, synthesise, and cite structured research using Perplexity, Gemini, and NotebookLM

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Design AI-assisted presentations with Gamma and Canva AI, using visual storytelling principles

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Manage digital projects and tasks using Notion AI, Trello, and collaborative cloud tools

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Create a freelance-ready portfolio: an Upwork profile, a prompt library, and a capstone automation project

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Apply client communication, gig pricing, proposal writing, and expectation management on freelance platforms

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Demonstrate responsible AI use, including data privacy and content safety, in a public-sector context

Target Audience

  • group Youth seeking employment in office, admin, research, and communications roles
  • group Aspiring freelancers on Upwork, Fiverr, and Freelancer.pk
  • group Learners with basic computer literacy (typing, mouse, OS navigation)
  • group Women (the programme has a 10% minimum female enrolment target)

Certification Criteria

  • check Overall score of at least 60%
  • check Minimum 80% attendance
  • check All practical assignments submitted
  • check Successful capstone defence to the panel
Assessment Strategy
Practical Assignments 20%
Quizzes & Short Tasks (Weeks 3, 6, 9) 15%
Final Written Exam (Week 9, proctored) 15%
Freelance Portfolio (Week 11) 10%
Capstone Project (Week 12, panel review) 40%
Enroll in Program

12 Weeks Duration.

Course Modules

12 weeks · 3 sessions per week · 108 contact hours

01

Orientation, AI Landscape & Office Foundations

AI ecosystem and tool comparison; Word/Docs templates, styles, mail merge; spreadsheets with formulas, conditional formatting, data validation

02

Prompt Engineering

Basic role-framed prompts, tokens, context windows; chain-of-thought, few-shot, persona prompts; reusable templates and Prompt Library

03

AI Ethics, Verification & Assessment

Hallucination, bias, copyright, data privacy; verification framework and AI Audit; Quiz 1 and practical submission

04

AI Writing & Documentation

SOP drafting with AI; proofreading, tone, format conversion; user manuals and document architecture

05

AI Research & Presentation Design

Perplexity, Gemini, NotebookLM research; source evaluation and citation; Gamma and Canva AI storytelling

06

Advanced Presentations, Meeting Intelligence & Midterm

Live-data slides and infographics; Otter.ai and Loom; Quiz 2 and Midterm

07

AI Project Management, Multimodal AI & Email

Notion AI and Trello Kanban; vision AI for scanned documents; Gmail and Outlook AI filters and canned responses

08

Power Automate & Apps Script

Triggers, actions, and approval flows; AI Builder; Apps Script automation logic

09

Integration Lab, Zapier & Final Exam

End-to-end AI and automation workflows; Zapier no-code automation; Quiz 3 and Final Written Exam

10

Freelance Foundations

Upwork, Fiverr, Freelancer.pk; proposal writing and pricing; client communication and scope management

11

Capstone Build & Portfolio

Problem scoping; minimum viable automation; mentorship; Upwork profile, gig descriptions, Loom demo

12

Capstone Presentation & Certification

5-minute live pitch; interview prep and soft skills; feedback survey and skill-tree mapping

Tools & Platforms

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AI Assistants: ChatGPT (GPT-4o), Claude, Microsoft Copilot, Google Gemini, Grammarly

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Research & Presentation: Perplexity, Google NotebookLM, Google Scholar, Gamma, Canva AI

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Productivity & Communication: Microsoft Word, Excel, Google Docs and Sheets, Notion, Trello, Gmail, Outlook, Otter.ai, Loom

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Automation: Power Automate, AI Builder, Google Apps Script, Zapier, Microsoft Forms and Google Forms

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Freelancing & Delivery: Upwork, Fiverr, Freelancer.pk, LinkedIn, LMS

rocket_launch Capstone Project

Hands-On Industry Capstone Project

Apply what you master into a comprehensive, real-world portfolio project evaluated by industry professionals.

assignment
Portfolio Challenge

Project Scope & Problem Statement

Design and build an AI-enhanced, multi-step office workflow that solves a real local problem. It must use at least two AI tools and one automation platform. It is the trainee's main portfolio piece and is presented to a panel in Week 12. Example themes include a Clinic Patient Manager, Tuition Centre Tracker, Small Shop Inventory + AI, Research Assistant Tool, AI Correspondence Manager, and Scholarship Tracker + Alert.

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Required Deliverables & Key Outcomes

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One-Page Problem Brief

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Tool Stack Diagram (boxes and arrows)

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Working Prototype (form → AI summary → automated output)

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Grandma-Proof User Guide (one page, with screenshots)

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3-Minute Loom Video Demo

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5-Minute Live Pitch ("Shark Tank Lite")

Instructor Details

Learn from experienced professionals assigned to deliver this program.

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Abdullah Khan

MPhil in Computer Science (Machine Learning), University of Malakand · Lecturer in Computer Science

workspace_premium 2+ Years of Teaching, AI/ML Engineering and Mentoring Experience

"MPhil Computer Science graduate specializing in Machine Learning, with two years of teaching experience in Computer Science and IT and additional industry experience in AI/ML engineering and technical mentorship. Skilled in classroom and lab instruction, student assessment, academic guidance, and project supervision, connecting academic concepts to real-world AI/ML implementation. First author of a JCR Q1 publication in an Elsevier journal (Chinese Journal of Physics), with research interests in AI/ML, explainable AI, and reproducible experimentation."

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