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Certified AI Business Strategist

AI Strategy & Automation for Leaders

Track Goal

Equip business leaders and analysts to make data-driven decisions, automate workflows, and strategically implement AI solutions.

Ideal For

Business Analysts, Team Leads, Department Heads, and senior HR/Marketing/Finance professionals.

16–18 weeks
Duration
5
Classes
Certificate
Upon Completion
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Class Curriculum

1

Advanced Data Analysis & AI-Driven Decisions

5 topics🎯 Project-Based

What you'll learn:

Understanding structured vs. unstructured data
Advanced Excel techniques for analysis (Power Query, PivotTables, AI features)
Basics of data visualization (Excel Dashboards, Power BI, Looker Studio)
Reading and interpreting analytics to find insights
Frameworks for data-driven decision-making
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Project:

Build an interactive KPI dashboard using Advanced Excel or Power BI to track a business goal.

2

AI for Business Operations

4 topics🎯 Project-Based

What you'll learn:

AI in HR: Screening, evaluation, and engagement
AI in Marketing: Customer segmentation, content personalization
AI in Finance: Forecasting, fraud detection
AI in Customer Service: Chatbots and sentiment analysis
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Project:

Design a detailed AI use-case proposal for your department, including expected ROI.

3

No-Code AI & Process Automation

3 topics🎯 Project-Based

What you'll learn:

Overview of no-code platforms (Zapier, Make, Chatbase, Lobe)
Building intelligent chatbots without code
Automating workflows between apps (e.g., email -> spreadsheet -> analysis)
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Project:

Build a multi-step, no-code automation flow to solve a business problem.

4

Strategic AI Adoption & Change Management

4 topics🎯 Project-Based

What you'll learn:

Identifying high-impact AI opportunities
AI ROI and cost-benefit analysis
Managing team adoption and change
Working effectively with IT teams and external vendors
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Project:

Create a 6-month AI adoption roadmap for your team or organization.

5

Ethics, Governance & the Future of Work

3 topics📋 Outcome-Based

What you'll learn:

Developing AI governance and responsible use policies
Bias detection and regulatory compliance (e.g., GDPR)
The future of human-AI collaboration
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Outcome:

A strategic framework for sustainable and ethical AI adoption.

Start Your Journey Today

Join this track and earn your Certified AI Business Strategist certification

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