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AI+ Microsoft 365 Copilot Marketing Specialty™

AI+ Microsoft 365 Copilot Marketing Specialty™
  • AI-Powered Marketing Strategy: Learn to align AI-driven marketing initiatives with organizational goals, optimizing customer engagement and maximizing business value across marketing campaigns.
  • Predictive Content Creation & Campaign Design: Leverage machine learning and AI tools to predict content trends, optimize messaging, and streamline campaign scheduling for improved delivery and results.
  • AI-Driven Marketing Resource Optimization: Utilize AI to match skills, forecast content needs, and balance workloads, improving productivity, reducing costs, and preventing burnout within marketing teams.
  • Proactive Customer Insights & Risk Management: Implement AI-powered sentiment analysis and predictive risk detection to identify potential issues in real-time, enhance customer interactions, and strengthen marketing governance.
  • Intelligent Analytics & Decision Support: Build AI-driven marketing dashboards, perform real-time market trend analysis, and automate campaign performance summaries to generate actionable insights from raw marketing data.
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Certificate Code

AP-0920

Exam Format

AI-Driven Remote Exam Proctoring

Course Overview

Important details and certification information

Instructor-led OR Self-paced course + Official exam + Digital badge
Instructor-Led: 3 Days (live or virtual)
A basic understanding of AI tools and their applications in marketing, proficiency in Microsoft 365 tools and functionalities, a solid foundation in core marketing principles and strategies, the ability to analyze and interpret marketing data, and familiarity with digital content creation and marketing tools.
50 questions, 70% passing, 90 minutes, online proctored exam

Certification Modules

  1. 1.1 The Rise of AI in Marketing
  2. 1.2 Meet Microsoft 365 Copilot for Marketing
  3. 1.3 Copilot & Microsoft Graph: Secure Brand and Data Integration
  4. 1.4 Intro to Responsible AI in Marketing
  5. 1.5 Case Study: Pulse Creative Agency

  1. 2.1 Introduction to Microsoft 365 Copilot
  2. 2.2 Creating Ad Copy and Campaign Messages
  3. 2.3 Campaign Presentation Design
  4. 2.4 Blog & Social Media Content Creation
  5. 2.5 Case Study: BrandHive

  1. 3.1 Generating A/B Testing Variations
  2. 3.2 Personalized Email Campaigns
  3. 3.3 Using Copilot for Market Trend Analysis
  4. 3.4 Case Study: FreshWave Foods

  1. 4.1 Introduction to Copilot Studio
  2. 4.2 Designing a Content Request Agent
  3. 4.3 Building a Brand Guidelines Q&A Agent
  4. 4.4 Case Study

  1. 5.1 Prompt Refinement for Tone and Messaging
  2. 5.2 Integrating Copilot with Analytics Dashboards
  3. 5.3 Case Study: AdSphere

  1. 6.1 Principles in Practice
  2. 6.2 Data Protection & Compliance
  3. 6.3 Bias, Hallucination & Human Oversight
  4. 6.4 Operationalizing Responsible AI

  1. 7.1 Introduction and Aim of the Capstone
  2. 7.2 Project Overview and Learning Objectives
  3. 7.3 Tools Used
  4. 7.4 Detailed Step-by-Step Hands-On Guide

AI Tools Covered

Microsoft 365 Copilot
Microsoft Copilot Studio
Azure OpenAI Service
Microsoft Graph
Power BI
Docker
Jenkins
Amazon Web Services (AWS)
Google Cloud
IBM Cloud
Microsoft Entra ID
Microsoft Azure
Microsoft Purview
Power Automate
Terraform
Kubernetes
GitHub Actions
Ansible
Prometheus
Grafana
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